2010-2021 (in the alphabetical order of the first author’s surname)

Adeel, M., Yeh, A.G.O., & Zhang, F. (2017). Gender inequality in mobility and mode choice in Pakistan. Transportation, 44, 1519-1534.

Adeel, M., Yeh, A.G.O., & Zhang, F. (2016). Towards an inclusive public transport system in Pakistan. Transport and Communications Bulletin for Asia and the Pacific, 85, 33-44.

Adeel, M., Yeh, A.G.O., & Zhang, F. (2016). Transportation disadvantage and activity participation in the cities of Rawalpindi and Islamabad, Pakistan. Transport Policy, 47, 1-12.

Adelson, J.D. et. al. [GBD 2019 Blindness and Vision Impairment Collaborators]. (2020). Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The right to sight: An analysis for the global burden of disease study. The Lancet Global Health. DOI: 10.1016/S2214-109X(20)30489-7

Bhatta, K.D., & Chan, R.C.K. (2018). Addressing heritage conservation in post-earthquake planning: Reconstruction plan of historic town Bungamati of Nepal. South Asian Journal of Tourism and Heritage, 11(2), 16-33.

Bhatta, K.D., & Chan, R.C.K. (2016). Planning for heritage conservation and community development: Study of historic town “Thimi” of Kathmandu Valley. SAJTH, 9(1), 57-78.

Bhatta, K.D., & Chan, R.C.K. (2013). (Eco) Tourism development and community benefits: The study of Dai villages from Xishuangbanna, Yunnan, China. Reflections on the built environment and associated practices. Tribhuvan University, Institute of Engineering, Pulchowk, Architecture and Planning Series I, 104-130.

Bian, F., & Yeh, A.G.O. (2020). Spatial–economic impact of missing national highway links on China’s regional economy. Transportation Research Part D: Transport and Environment, 84, 102377.

Bilal, M., Nichol, J.E., Nazeer, M., Shi, Y., Wang, L., Kumar, K. R., Ho, H.C., Mazhar, U., Bleiweiss, M.P., Qiu, Z., Khedher, K.M., & Lolli, S. (2019). Characteristics of fine particulate matter (PM2.5) over urban, suburban, and rural areas of Hong Kong. Atmosphere, 10(9), 496. DOI: http://doi.org/10.3390/atmos10090496

Bourne, R. et. al. [GBD 2019 Blindness and Vision Impairment Collaborators]. (2020). Trends in prevalence of blindness and distance and near vision impairment over 30 years: An analysis for the global burden of disease study. The Lancet Global Health. DOI: 10.1016/S2214-109X(20)30425-3

Burgoine, T., Monsivais, P., Sarkar, C., & Webster, C.J. (2016). Examining the interplay of takeaway food outlet exposure and income on diet and obesity: A cross-sectional study in UK Biobank. The Lancet, 388(Special Issue), 28. DOI: http://dx.doi.org/10.1016/S0140-6736(16)32264-4

Burgoine, T., Sarkar, C., Webster, C.J., & Monsivais, P. (2018). Examining the interaction of fast-food outlet exposure and income on diet and obesity: Evidence from 51,361 UK Biobank participants. International Journal of Behavioral Nutrition and Physical Activity, 15, 1-12. DOI: http://dx.doi.org/10.1186/s12966-018-0699-8

Chan, R.C.K. (2021). The nexus between (re)production of space and economic resilience: An analysis of Chinese cities. Habitat International, 109, 102326. DOI: 10.1016/j.habitatint.2021.102326

Chan, R.C.K. (2016). Urban development of Macao: Challenges and opportunities. China City Planning Review, 25(1), 68-75.

Chan, R.C.K. (2014). Urban development of Macau: Challenges and opportunities. City Planning Review, 38(z1), 31-36. (in Chinese)

Chan, R.C.K. (2014). Urban planning in Hong Kong and Macau and development in the Pearl River Delta Region. In B.K.F. Leung, & S.S.H. Lo (Eds.), Pearl River Delta and Its Integration with Hong Kong and Macau (pp. 270-289). Hong Kong: City University of Hong Kong Press. (in Chinese)

Chan, R.C.K. (2011). Hong Kong’s position in Guangdong under ‘One Country, Two Systems’. Seoul Journal of Economics, 24(2), 125-150.

Chan, R.C.K., & Bhatta, K. (2013). Ecotourism planning and sustainable community development: Theoretical perspectives for Nepal. South Asian Journal of Tourism and Heritage, 6(1), 69-96.

Chan, R.C.K., & Bhatta, K. D. (2018). Addressing heritage conservation in post-earthquake planning: Reconstruction plan of historic town “Bungamati” of Nepal. South Asian Journal of Tourism and Heritage, 11(2), 16-33.

Chan, R.C.K., & Li, L. (2016). Entrepreneurial city and the restructuring of urban space in Shanghai Expo. Urban Geography, 38(5), 666-686. DOI: 10.1080/02723638.2016.1139909

Chan, R.C.K., & Liao, F.H.F. (2011). Industrial relocation of Hong Kong manufacturing firms: Towards an expanding industrial space beyond the Pearl River Delta. GeoJournal, 76(6), 623-639.

Chan, R.C.K., Mai, X., & Yao, Shimou (2021). A review of urban agglomeration and china’s urbanisation strategy.  In A.G.O. Yeh, G.C.S. Lin, & F. Yan (Eds.), Mega-City Region Development in China (pp. 22-40). Oxon: Routledge.

Chan, R.C.K., & Xian, S. (2012). Assessing the incentives in regional city-to-city cooperation: A case study of Jiangyin-Jingjiang Industrial Park of Jiangsu Province in the Yangtze River Delta Region. Asia Pacific Viewpoint, 53(1), 55-68.

Chan, R.C.K., Xian, S.I., & Qi, Z. (2015). Booming provincial-led north-south city-to-city cooperation in China: A case study of Suzhou-Suqian Industrial Park of Jiangsu Province. Cities, 46, 44-54.

Chan, R.C.K., & Xie, Y. (2010). Measurement and analysis of the degree of compactness of large municipal cities in coastal provinces in China. Journal of Urban and Regional Planning, 1, 79-93. (in Chinese)

Chan, R.C.K., Yao, S.I.M.O.U., Ye, G., & Chen, W. (2015). The recognition of basic concepts of urban agglomeration in China. Urban Insight, 1, 73-82.

Chan, R.C.K., & Yao, S.M. (2010). New trends in urban and regional governance in the Pearl River Delta Region. Asian Geographer, 27(1/2), 127-143.

Chang. K., Wong, F., Chan, K.L., Wong, F., Ho, H.C., Wong, M.S., Ho, Y.S., Yuen, J., Siu, J., & Yang, L. (2021). The impact of the environment on the quality of life and the mediating effects of sleep and stress. International Journal of Environmental Research and Public Health, 172, 8529.

Chang, Y., Lau, M.H.M., & Calogero, P. (2019). Participatory governance in China: Analysing state-society relations in participatory initiatives in Suzhou. International Development Planning Review, Special Issue on Community Development and Planning in Contemporary China, 41(3), 329-352.

Chen, D., Mayvaneh, F., Baaghideh, M., Entezari, A., Ho, H.C., Xiang, Q., Jiao A., Zhang, F., Hu, K., Chen, G., Zhao, Q., Sun, S., & Zhang, Y. (2020). Utilizing daily excessive concentration hours to estimate cardiovascular mortality and years of life lost attributable to fine particulate matter in Tehran, Iran. Science of the Total Environment, 703, 134909. DOI: https://doi.org/10.1016/j.scitotenv.2019.134909

Chen, H., Chan, R.C.K., & He, Q. (2013). From excluded ghettos to exclusionary enclaves: A private sector initiative in Guangzhou, China. LHI Journal, 4(3), 211–223.

Chen, P., & Zhou, J. (2016). Effects of the built environment on automobile-involved pedestrian crash frequency and risk. Journal of Transport & Health, 3, 448-456. DOI: http://dx.doi.org/10.1016/j.jth.2016.06.008

Chen, P., Zhou, J., & Sun, F. (2017). Built environment determinants of bicycle volume: A longitudinal analysis. Journal of Transport and Land Use, 10(1), 655-674. DOI: http://dx.doi.org/10.5198/jtlu.2017.892

Chen, X., Jahn, H.J., Ward, T.J., Ho, H.C., Luo, M., Engling, G., & Kraemer, A. (2020). Characteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China. Atmospheric Environment, 224, 117295. DOI: https://doi.org/10.1016/j.atmosenv.2020.117295

Chen, X., Lu, W., & Liu, X. (2017). Does BEAN really matter to construction waste management? What big data does and does not tell. Proceedings of The World Sustainable Built Environment Conference 2017.

Chen, Y., Liu, X.P., Li, X., Liu, X., Yao, Y., Hu, G., Xu, X., & Pei, F. (2017). Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method, Landscape and Urban Planning, 160, 48-60. DOI: http://dx.doi.org/10.1016/j.landurbplan.2016.12.001

Chen, Y., Yeh, A.G.O., & Zhang, Y. (2017). Political tournament and regional cooperation in China: A game theory approach. Annals of Regional Science, 58(3), 597-622.

Chen, Z., & Yeh, A.G.O. (2021). Effects of built environment on activity participation under different space-time constraints: A case study of Guangzhou, China. Travel Behaviour and Society, 22, 84-93. DOI: 10.1016/j.tbs.2020.08.007

Chen, Z., & Yeh, A.G.O. (2020). Socioeconomic variations and disparity in space-time accessibility in suburban China: A case study of Guangzhou. Urban Studies. DOI: 10.1177/0042098020916416

Chen, Z., Zhou, X., & Yeh, A.G.O. (2020). Spatial accessibility to kindergartens using a spectrum combinational approach: Case study of Shanghai using cellphone data. Environment and Planning B: Urban Analytics and City Science, 1–18. DOI: https://doi.org/10.1177/2399808320954221

Chen, Z., & Yeh, A.G.O. (2019). Accessibility inequality and income disparity in urban China: A case study of Guangzhou. Annals of the American Association of Geographers, 109(1), 121-141. DOI: https://doi.org/10.1080/24694452.2018.1470923

Cheng, J., Ho, H.C., Webster, C., Su, H., Pan, H., Zheng, H., & Xu, Z. (2021). Lower-than-standard particulate matter air pollution reduced life expectancy in Hong Kong: A time-series analysis of 8.5 million years of life lost. Chemosphere. DOI: 10.1016/j.chemosphere.2021.129926

Cheung, M.W., & Tang, B.S. (2016). Recreation space or urban land reserve? Land-use zoning patterns and the transformation of open space in Hong Kong. Journal of Urban Planning Development, 142(3). DOI: 10.1061/(ASCE)UP.1943-5444.0000314

Cheung, M.W., & Tang, B.S. (2015). Social order, leisure, or tourist attraction? The changing planning missions for waterfront space in Hong Kong. Habitat International, 47, 231-240. DOI: https://doi.org/10.1016/j.habitatint.2015.01.006

Chiaradia, A.J.F., Jones, S., Sieh, L., & Waters, F. (2020). TOD: A tool for value assessment, a multi-scale value gradient map. Architecture and Technique, (26)9, 90-95.

Chiaradia, A.J.F. (2019). Urban Morphology/Urban Form. In A. Orum (Ed.), The Wiley Blackwell Encyclopedia of Urban and Regional Studies (pp. 1-5). Hoboken, NJ: Wiley-Blackwell.

Chiaradia, A.J.F., Sieh, L., & Plimmer, F. (2017). Values in urban design: A design studio teaching approach. Design Studies, 49, 66-100. DOI: http://dx.doi.org/10.1016/j.destud.2016.10.002

Chiu, R. L.H. (2021). Subsidized housing policy transfer: from liberal-interventionist Hong Kong to marketized socialist Shenzhen. Housing, Theory and Society. DOI: 10.1080/14036096.2021.1879252

Chiu, R.L.H. (2019). Housing challenges in Hong Kong’s dualistic housing system: Implications for Chinese cities. In R.L.H. Chiu, Z. Liu, & B. Renaud (Eds.), International Housing Market Experience and Implications for China (pp. 201-229). New York, NY: Routledge.

Chiu, R.L.H. (2018). Introduction: Conceptual context. In R.L.H. Chiu, & S. Ha (Eds.), Housing Policy, Wellbeing and Social Development in Asia (pp. 1-7). Abingdon, Oxon: Routledge.

Chiu, R.L.H. (2018). Conclusion: Housing policy and social development in Asia. In R.L.H. Chiu, & S. Ha (Eds.), Housing Policy, Wellbeing and Social Development in Asia (pp. 250-255). Abingdon, Oxon: Routledge.

Chiu, R.L.H. (2013). A comparison of housing welfare policies among major Asian countries in the modern era. LHI Journal of Land, Housing and Urban Affairs, 4(1), 23-32.

Chiu, R.L.H. (2013). The transferability of public housing policy within Asia: Reflections from the Hong Kong-Mainland China case study. In J. Chen, M. Stephens, & Y. Man (Eds.), The Future of Public Housing: Ongoing Trends in the East and the West (pp. 3-12). Heidelberg, Germany: Springer.

Chiu, R.L.H. (2012). Sustainability. In S.J. Smith (Ed.), International Encyclopedia of Housing and Home (pp. 91-96). Elsevier.

Chiu, R.L.H. (2012). Is the public housing policy of Hong Kong transferable? In Y. Man, G. Long, & J. Jing (Eds.), Low-Income Housing in China: Current Status and Policy Design (pp. 143-151). Beijing: The Commercial Press. (in Chinese)

Chiu, R.L.H. (2012). Editorial: Chinese cities under marketisation: A sustainability perspective. Urban Policy and Research, 30(4), 357-358.

Chiu, R.L.H. (2012). Urban sustainability and the urban forms of China’s leading mega cities: Beijing, Shanghai and Guangzhou. Urban Policy and Research, 30(4), 359-383.

Chiu, R.L.H. (2012). Editorial: Urban research challenges from China. Urban Policy and Research, 30(3), 231-232.

Chiu, R.L.H. (2010). The transferability of Hong Kong’s public housing policy. International Journal of Housing Policy, 10(3), 301-323.

Chiu, R.L.H., & Gurran, N. (2013). China plans for 36 million affordable homes – Lessons for Australia. The Conversation. URL: https://theconversation.com/china-plans-36-million-affordable-homes-lessons-for-australia-19710

Chiu, R.L.H., & Ha, S. (Eds.) (2018). Housing Policy, Wellbeing and Social Development in Asia. Abingdon, Oxon: Routledge.

Chiu, R.L.H., Lau, M.H.M., & Seo, B.K. (2018). The security-based public housing policy of Hong Kong: A social development perspective. In R.L.H. Chiu, & S. Ha (Eds.), Housing Policy, Wellbeing and Social Development in Asia (pp. 29-49). Abingdon, Oxon: Routledge.

Chiu, R.L.H., Liu, Z., & Renaud, B. (Eds.) (2019). International Housing Market Experience and Implications for China. New York, NY: Routledge.

Chui, C.H., Tang, J.Y.M., Kwan, C.M., Chan, O.F., Tse, M., Chiu, R.L.H., Lou, V.W.Q., Chau, P.H., Leung, A.Y.M., & Lum, T.Y.S. (2019). Older adults’ perceptions of age-friendliness in Hong Kong. The Gerontologist, 59(3), 549-558. DOI: https://doi.org/10.1093/geront/gny052

Cooper, C., Harvey, I., Orford, S., & Chiaradia, A.J.F. (2019). Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows. Transportation. DOI: https://doi.org/10.1007/s11116-019-10072-0

Cui, M., & Chiaradia, A.J.F. (2020). Volumetric urban design. An exploratory typology of multi-level pedestrian network in Hong Kong new town. Architectural and Technique, 26(9), 40-45.

Deng, C., Dong, X., Wang H., Lin, W., Wen, H., Frazier, J., Ho, H.C., & Holmes, L. (2020). A data-driven framework for walkability measurement with open data: A case study of Triple Cities, New York. ISPRS International Journal of Geo-Information, 9(1), 36. DOI: https://doi.org/10.3390/ijgi9010036

Du, Y., Mak, C.M., & Tang, B.S. (2018). Effects of building height and porosity on pedestrian level wind comfort in a high-density built environment. Building Simulation, 11, 1215-1228. DOI: https://doi.org/10.1007/s12273-018-0451-y

Feng, X., Ho, H.C., Chi, G., & Wang, Z. (2019). Abandoned rural residential land: Using machine learning techniques to identify rural residential land vulnerable to be abandoned in mountainous areas. Habitat International, 84, 43-56. DOI: https://doi.org/10.1016/j.habitatint.2018.12.006

Ferreira, J., Diao, M., Zhu, Y., Li, W., & Jiang, S. (2010). Information infrastructure for research collaboration in land use, transportation, and environmental planning. Transportation Research Record: Journal of Transportation Research Board, 2183, 85-93.

Fu, Q., He, S., Zhu, Y.S., Li, S.M., He, Y.L., Zhou, H.N., & Lin, N. (2015). Toward a relational account of neighborhood governance. American Behavioral Scientist, 59(8), 992-1006.

GBD 2019 Viewpoint Collaborators (Ho, H.C., & the Global Burden of Disease team). (2020). Five insights from the Global Burden of Disease Study 2019. The Lancet, 396, 1135-1159.

Glaeser, E., Chiu, R.L.H., Liu, Z., & Renaud, B. (2019). A roadmap for housing policy: Lessons of international experience. In R. L. H. Chiu, Z. Liu, & B. Renaud (Eds.), International Housing Market Experience and Implications for China (pp. 355-388). New York, NY: Routledge.

Goulet-Langlois, G., Koutsopoulos, H. N., Zhao, Z., & Zhao, J. (2018). Measuring regularity of individual travel patterns. IEEE Transactions on Intelligent Transportation Systems, 19(5), 1583-1592.

Guo, C., Sim, T., & Ho, H.C. (2020). Evaluation of risk perception, knowledge, and preparedness of extreme storm events for the improvement of coastal resilience among migrants: A lesson from Hong Kong. Population, Space and Place, e2318. DOI: https://doi.org/10.1002/psp.2318

Guo, H., Chang, Z., Wu, J., & Li, W. (2019). Air pollution and lung cancer incidence in China: Who are faced with a greater effect? Environmental International, 132, 105077. https://doi.org/10.1016/j.envint.2019.105077

Guo, H., Wei, J., Li, X., Ho, H.C., Song, Y., Wu, J., & Li, W. (2021). Do socioeconomic factors modify the effects of PM1 and SO2 on lung cancer incidence in China? Science of the Total Environment, 143998.

Guo, H., Zhan, Q., Ho, H.C., Yao, F., Zhou, X., Wu, J., & Li, W. (2020). Coupling mobile phone data with machine learning: How misclassification errors in ambient PM2.5 exposure estimates are produced? Science of The Total Environment, 745, 141034.

Guo, M., Huang, J., & Ni, M.Y. (2019). 3D built-environment attributes and household road traffic noise exposure in Hong Kong. IOP Conference Series: Earth and Environmental Science, 329. DOI: http://dx.doi.org/10.1088/1755-1315/329/1/012012

Hafeez, S., Wong, M.S., Ho, H.C., Nazeer, M., Nichol, J., Abbas, S., Tang, D., Lee, K.H., & Pun, L. (2019). Comparison of machine learning algorithms for retrieval of water quality indicators in case-II waters: A case study of Hong Kong. Remote Sensing, 11(6), 617. DOI: https://doi.org/10.3390/rs11060617

He, S. (2020). Urban entrepreneurialism 2.0? Financialization, cross-scale dynamics, and post-political governance. Dialogues in Human Geography. DOI: https://doi.org/10.1177/2043820620921030

He, S. (2018). Three waves of state-led gentrification in China. Tijdschrift voor economische en sociale geografie, 110(1). DOI: 10.1111/tesg.12334

He, S. (2015). Homeowner association and neighborhood governance in Guangzhou, China. Eurasia Geography and Economics, 56(3), 1-25. DOI: 10.1080/15387216.2015.1095108

He, S. (2015). Right to the city: A liberal-democratic perspective. In J.D. Wright (Ed.), International Encyclopedia of the Social & Behavioral Sciences (pp. 673-679). Oxford: Elsevier.

He, S. (2015). A review of “Housing inequality in Chinese cities”, Edited by Youqin Huang and Si-ming Li. International Journal of Housing Policy, 15(1), 97-100. DOI: 10.1080/14616718.2014.999421

He, S. (2014). Consuming urban living in ‘villages in the city’: Studentification in Guangzhou, China. Urban Studies, 52(15), 2849-2873. DOI: 10.1177/0042098014543703

He, S. (2013). Evolving enclave urbanism in China and its socio-spatial implications: The case of Guangzhou. Social and Cultural Geography, 14(3), 243-275.

He, S. (2012). Two waves of gentrification and emerging rights issues in Guangzhou, China. Environment and Planning A: Economy and Space, 44(12), 2817-2833.

He, S. (2010). New-build gentrification in central Shanghai: Demographic changes and socioeconomic implications. Population, Space and Place, Malden, 16(5), 345-361.

He, S., & Chang, Y. (2020). A zone of exception? Interrogating the hybrid housing regime and nested enclaves in China-Singapore Suzhou-Industrial-Park. Housing Studies, 1-25.

He, S., & Chen, G. (2012). Interrogating unequal rights in the Chinese City. Environment and Planning A: Economy and Space, 44(12), 2794-2800.

He, S., Kong, L., & Lin, G.C.S. (2016). Interpreting China’s new urban spaces: state, market, and society in action. Urban Geography, 38(5), 635-642. DOI: 10.1080/02723638.2016.1139404

He, S., Li, L., Zhang, Y., & Wang, J. (2018). A small entrepreneurial city in action: Policy mobility, urban entrepreneurialism, and politics of scale in Jiyuan, China. International Journal of Urban and Regional Research, 42(4). DOI:10.1111/1468-2427.12631

He, S., & Lin, G.C.S. (2015). Producing and consuming China’s new urban space: State, market and society. Urban Studies, 52(15), 2757-2773. DOI: 10.1177/0042098015604810

He, S., Liu, L., Yang, G., & Wang, F. (2016). Housing differentiation and housing poverty in Chinese low-income urban neighborhoods under the confluence of State-market forces. Urban Geography, 38(5), 729-751. DOI: http://dx.doi.org/10.1080/02723638.2016.1139406

He, S., Liu, Y., Wu, F., & Webster, C. (2010). Social groups and housing differentiation in China’s urban villages: An institutional interpretation. Housing Studies, 25(5), 671-691.

He, S., & Qian, J. (2016). From an emerging market to a multifaceted urban society: Urban China studies. Urban Studies, 54(4), 827-846. DOI: 10.1177/0042098016675826

He, S., Wang, D., Webster, C., & Chau, K.W. (2019). Property rights with price tags? Pricing uncertainties in the production, transaction and consumption of China’s small property right housing. Land Use Policy, 81, 424-433.

He, S., & Wang, J. (2018). State-led creative/cultural city making and its contestations in East Asia: A multi-scalar analysis of the entrepreneurial state and the creative class cultural city. Geoforum, 106, 305-309. DOI: 10.1016/j.geoforum.2018.10.004

He, S., Wu, F., Webster, C., & Liu, Y. (2010). Poverty concentration and determinants in China’s urban low-income neighbourhoods and social groups. International Journal of Urban and Regional Research, 34(2), 328–349.

He, S., & Xue, D. (2014). Identity building and communal resistance against land grabs in Wukan Village, China. Current Anthropology, 55(S9), 126-137.

He, S., Zhang, M., & Wei, Z. (2019). The state project of crisis management: China’s Shantytown Redevelopment Schemes under state-led financialization. Environment and Planning A: Economy and Space, 52(3), 632-653.

Ho, H.C., Abbas, S., Yang, J., Zhu, R., & Wong, M.S. (2019). Spatiotemporal prediction of increasing winter perceived temperature across a sub-tropical city for sustainable planning and climate change mitigation. International Journal of Environmental Research and Public Health, 16(3), 497.

Ho, H.C., Chan, T.C., Xu, Z., Huang, C., & Li, C. (2020). Individual- and community-level shifts in mortality patterns during the January 2016 East Asia cold wave associated with a super El Niño event: Empirical evidence in Hong Kong. Science of the Total Environment, 711, 135050. DOI: https://doi.org/10.1016/j.scitotenv.2019.135050

Ho, H.C., Fong, K., Chan, T.C., & Shi, Y. (2021). The associations between social, built and geophysical environment and age-specific dementia mortality among older adults in a high-density Asian city. International Journal of Health Geographics, 19, 53. DOI: 10.1186/s12942-020-00252-y

Ho, H.C., Man, H.Y., Wong, M.S., Shi, Y., & Walker, B.B. (2020). Perceived differences in the (re)production of environmental deprivation between subpopulations: a study combining citizens’ perceptions with remote-sensed and administrative data. Building and Environment, 174, 106769. DOI: https://doi.org/10.1016/j.buildenv.2020.106769

Ho, H.C., & Wong, M.S. (2019). Urban environmental influences on the temperature–mortality relationship associated mental disorders and cardiorespiratory diseases during normal summer days in a subtropical city. Environmental Science and Pollution Research, 26(23), 24272-24285. DOI: 10.1007/s11356-019-05594-0

Ho, H.C., Wong, M.S., Abbas, S., & Zhu, R. (2019). Development of the Adjusted Wind Chill Equivalent Temperature (AWCET) for cold mortality assessment across a subtropical city: Validation and comparison with a spatially-controlled time-stratified approach. BMC Public Health, 19(1), 1290.​

Ho, H.C., Wong, M.S., Man, H.Y., Shi, Y., & Abbas, S. (2019). Neighborhood-based subjective environmental vulnerability index for community health assessment: Development, validation and evaluation. Science of the Total Environment, 654, 1082-1090.

Ho, W.K.O., Tang, B.S., & Wong, S.W. (2021). Predicting property prices with machine learning algorithms. Journal of Property Research, 38(1), 48-70.

Hu, F.Z.Y., Lin, G.C.S., Yeh, A.G.O., He, S., & Liu, X. (2019). Reluctant policy innovation through profit concession and informality tolerance: A strategic relational view of policy entrepreneurship in China’s urban redevelopment. Public Administration and Development, 40(1), 65-75. DOI: https://doi.org/10.1002/pad.1866

Hu, L., He, S., Han, Z., Xiao, H., Su, S., Weng, M., & Cai, Z. (2019). Monitoring housing rental prices based on social media: An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies. Land Use Policy, 82, 657-673. DOI: https://doi.org/10.1016/j.landusepol.2018.12.030

Hu, L., He, S., Luo, Y., Su, S., Xin, J., & Weng, M. (2020). A social-media-based approach to assessing the effectiveness of equitable housing policy in mitigating education accessibility induced social inequalities in Shanghai, China. Land Use Policy, 94, 104513. DOI: https://doi.org/10.1016/j.landusepol.2020.104513

Hu, T., Wu, J., & Li, W. (2019). Assessing relationships of ecosystem services on multi-scale: A case study of soil erosion control and water yield in the Pearl River Delta. Ecological Indicators, 99, 193-202. DOI: https://doi.org/10.1016/j.ecolind.2018.11.066

Hu, Y., Sun, Y., & Chan, R.C.K. (2013). Collaborative governance in NIMBY facility planning: Lessons from site selection of two incineration power plants in Guangzhou (邻避设施规划的协作管治问题——以广州两座垃圾焚烧发电厂选址为例). City Planning Review, 37(6), 16-19. (in Chinese)

Hu, Y., Sun, Y., & Chan, R.C.K. (2013). A review on the research of urban and regional governance in China (中国城市与区域管治研究十年回顾与前瞻). Human Geography, 28(2), 74-78. (in Chinese)

Huang, D., & Chan, R.C.K. (2018). On ‘Land Finance’ in China: Theory and practice”. Habitat International, 75, 96-104. DOI: https://doi.org/10.1016/j.habitatint.2018.03.002

Huang, J. (2013). Micro-climate, marco-effects: The assessment and management of thermal comfort in dense cities. Proceedings of The 7th International Association for China Planning (IACP) Conference, Shanghai Jiao Tong University, China (June 2013).

Huang, J., & Cedeño-Laurent, J.G. (2012). Urban form and microclimate: A rapid assessment method for pedestrian thermal comfort. Climate Adaptation Futures: Second International Climate Change Adaptation Conference, University of Arizona, Tucson, Arizona (May 2012).

Huang, J., Cedeño-Laurent, J.G., & Spengler, J.D. (2014). A simulation-based method for predicting mean radiant temperature in dense urban areas. Building and Environment, 80, 84-95.

Huang, J., Jones, P., Peng, R., Li, X., & Hou, S. (2017). An integrated model for urban microclimate and building energy in high-density cities for early stage design. Building Simulation 2017: 15th Conference of International Building Performance Simulation Association, San Francisco, California (7-9 August 2017).

Huang, J., Jose, C., Spengler, J., & Reinhart, C. (2012). A GIS-based assessment method for mean radiant temperature in dense urban areas. Proceedings of SimBuild 2012 Conference, IBPSA-USA, Madison, Wisconsin.

Huang, J., Levinson, D., Wang, J., Zhou, J., & Wang, Z. (2018). Tracking job and housing dynamics with smartcard data. Proceedings of the National Academy of Sciences of the United States of America, 115(50), 12710-12715. DOI: https://doi.org/10.1073/pnas.1815928115

Huang, J., & Qiu, Y. (2012). Sustaining public housing: Case study of Boston’s castle square apartments. Urban Flux, 3, 46-48.

Huang, J., Zhang, A., & Peng, R. (2015). Evaluating the multizone model for street canyon airflow in high density cities. 14th International Conference of the International Building Performance Simulation Association, Hyderabad, India (7-9 December, 2015).

Huang, J., Zhang, Q., Li, L., Yang, Y., Chiaradia, A.J.F., Pryor, M.R., & Webster, C.J. (2016). Happiness and high-rise living: Sentiment analysis of geo-located Twitter data in Hong Kong’s housing estates. ISOCARP Congress 2016.

Huang, J., Zhou, C., Zhou, Y., Xu, L., & Jiang, Y. (2016). Outdoor thermal environments and activities in open space: An experiment study in humid subtropical climates. Building and Environment, 103, 238-249.

Huang, J., Zhuo, Y., Xu, L., & Zhou, C. (2014). Thermal comfort and outdoor activities in China’s residential communities: The Wuhan experiment. Proceedings of the 2014 Indoor Air Conference, Hong Kong SAR.

Huang, K., Liu, X., Li, X., Liang, J., & He, S. (2013). An improved artificial immune system for seeking the Pareto front of land-use allocation problem in large areas. International Journal of Geographical Information Science, 27(5), 922-946.

Huang, Y., He, S., & Gan, L. (2020). Introduction to SI: Homeownership and housing divide in China. Cities, 108, 102967.

James, S.L., Castle, C.D., Dingels, Z.V., Fox, J.T., Hamilton, E.B., Liu, Z., Roberts, N.L.S., Sylte, D.O., Henry, N.J., LeGrand, K.E., Abdelalim, A., Abdoli, A., Abdollahpour, I., Abdulkader, R.S., Abedi, A., Abosetugn, E., Abushouk, A.I., Adebayo, O.M., Agudelo-Botero, M., … Ho, H.C., …, Vos, T. (2020). Global injury morbidity and mortality from 1990 to 2017: Results from the Global Burden of Disease Study 2017​. Injury Prevention (in press). DOI: http://dx.doi.org/10.1136/injuryprev-2019-043494

Jiao, A., Xiang, Q., Ding, Z., Cao, J., Ho, H.C., Chen, D., Cheng, J., Yang, Z., Zhang, F., Yu, Y., & Zhang, Y. (2020). Short-term impacts of ambient fine particulate matter on emergency department visits: Comparative analysis of three exposure metrics. Chemosphere, 241, 125012. DOI: https://doi.org/10.1016/j.chemosphere.2019.125012

Kang, K., Ni, Y., Li, J., Imamovic, L., Sarkar, C., Kobler, M.D., Heshiki, Y., Zheng, T., Kumari, S., Wong, C.Y., Anand, A., Wong, C.W.M., Dingle, C.E., Denizen, S., Baker, D.M., Sommer, M.O.A., Webster, C.J., & Panagiotou, I. (2018). The environmental exposures and inner- and intercity traffic flows of the metro system may contribute to the skin microbiome and resistome. Cell Reports, 24, 1190-1202. DOI: http://dx.doi.org/10.1016/j.celrep.2018.06.109

Kim, E.J., Hewings, G., & Nam, K.-M. (2014). Optimal urban population size: National vs local economic efficiency. Urban Studies, 51(2), 428-445.

Lai, D., Zhou, C., Huang, J., Jiang, Y., Long, Z., & Chen, Q. (2014). Outdoor space quality: A field study in an urban residential community in central China. Energy and Buildings, 68(B), 713-720.

Lai, Y., & Tang, B.S. (2016). Institutional barriers to the redevelopment of urban villages in China: A transaction cost perspective. Land Use Policy, 58, 482-490.

Lau, M. (2017). Framing processes in planning disputes: Analysing dynamics of contention in a housing project in Hong Kong. Housing Studies, 33(5), 667-683.

Lau, M. (2015). Tackling uncertainties in plan implementation: Lessons from a growth area in England. Town Planning Review, 86, 7-28.

Lau, M. (2014). Sectoral integration and meta-governance: Lessons beyond the ‘spatial planning’ agenda in England. Town Planning Review, 85(5), 617-637.

Lau, M. (2014). Flexibility with a purpose: Constructing the legitimacy of spatial governance partnerships. Urban Studies, 51(9), 1943–1959.

Lau, M.H.M. (2020). Community-based housing solutions in Hong Kong: How and why have they emerged? International Journal of Housing Policy, 20(2), 290-301. DOI: 10.1080/19491247.2019.1595910

Lau, M.H.M. (2018). Lobbying for rent regulation in Hong Kong: Rental market politics and framing strategies. Urban Studies, 56(12), 2515-2531. DOI: 10.1177/0042098018791951

Lau, M.H.M., & Wei, X. (2018). Housing size and housing market dynamics: The case of micro-flats in Hong Kong. Land Use Policy, 78, 278-286.

Li, C., Bloom, M.S., Lin, S., Ren, M., Hajat, S., Wang, Q., Zhang, W., Ho, H.C., Zhao, Q., Lin, Y., & Huang, C. (2021). Temperature variation and preterm birth among live singleton deliveries in Shenzhen, China: A time-to-event analysis. Environmental Research, 195, 110834.

Li, J., & Chiu, R.L.H. (2019). State rescaling and large-scale urban development projects in China: The case of Lingang New Town, Shanghai. Urban Studies. DOI: 10.1177/0042098019881367

Li, S.M., Chan, K.W., & He, S. (2014). Migration, mobility, and community change in Chinese cities: Introducing the special issue. Eurasian Geography and Economics, 55(4), 307-312.

Li, S.M., He, S., & Chan, K.W. (Eds.) (2016). Changing China: Migration, Communities and Governance in Cities. New York and London: Routledge.

Li, W., Cao, Q., Lang, K., & Wu, J. (2017). Linking potential heat source and sink to urban heat island: Heterogeneous effects of landscape patterno land surface temperature. Science of the Total Environment, 586, 457-465. DOI: http://dx.doi.org/10.1016/j.scitotenv.2017.01.191

Li, X., Jiang, H., & Nam, K.-M. (2020). Adaptation in cultural industry under conservation pressure: Case study of two chinese embroidery clusters. International Journal of Cultural Policy, 27(4), 420-443.

Li, X., & Yeh, A.G.O. (2020). Cellular automata modelling for urban planning in fast-growth regions. In S. Geertman, & J. Stillwell (Eds.), Handbook of Planning Support Science (pp. 397-415). Cheltenham, UK: Edward Elgar Publishing.

Li, X., Zhang, X.H., Yeh, A.G.O., & Liu, X.P. (2010). Parallel cellular automata for large-scale urban simulation using load-balancing techniques. International Journal of Geographical Information Science, 24(6), 803-820.

Li, Y., Chen, X., Tang, B.S., & Wong, S.W. (2018). From project to policy: Adaptive reuse and urban industrial land restructuring in Guangzhou city, China. Cities, 82, 68-76. DOI: https://doi.org/10.1016/j.cities.2018.05.006

Li, Y., & Liu, X. (2018). How did urban polycentricity and dispersion affect economic productivity? A case study of 306 Chinese cities. Landscape and Urban Planning, 173, 51-59. DOI: http://dx.doi.org/10.1016/j.landurbplan.2018.01.007

Li, Z., He, S., Su, S., Li, G., & Chen, F. (2020). Public services equalization in urbanizing China: Indicators, spatiotemporal dynamics and implications on regional economic disparities. Social Indicators Research, 1-65.

Li, Z., Xu, J., & Yeh, A.G.O. (2014). State rescaling and the making of city-regions in the Pearl River Delta, China. Environment and Planning C: Government and Policy, 32, 129-143.

Liang, W.L., Huang, J., Jones, P.J., Wang, Q., & Hang, J.H. (2018). A zonal model for assessing street canyon air temperature of high-density cities. Building and Environment, 132, 160-169. DOI: http://dx.doi.org/10.1016/j.buildenv.2018.01.035

Liao, F.H.F., & Chan, R.C.K. (2011). Industrial relocation of Hong Kong manufacturing firms: Towards an expanding industrial space beyond the Pearl River Delta. GeoJournal, 76(6), 623-639.

Lin, G.C.S., Li, X., Yeh, A.G.O., He, S., Hu, Z., & Liu, X. (2021). Reproduction of space in the city centre of mega-city regions: Bottom-up institutional reforms, profit redistribution, and urban redevelopment in Guangzhou. In A.G.O. Yeh, G.C.S. Lin, & F. Yan (Eds.), Mega-City Region Development in China (pp. 159-175). Oxon: Routledge.

Lin, G.C.S., Li, X., Yeh, A.G.O., He, S., Hu, Z., & Liu, X. (2018). Land readjustment in urbanizing China: Decentralization, profit concession, and redevelopment of village land in Chinese cities. In Y.H. Hong, & J. Tierney (Eds.), Global Experiences in Land Readjustment: Urban Legal Case Studies (pp. 13-24). Nairobi, Kenya: UN-Habitat.

Liu, J., Li, J., & Li, W. (2016). Temporal patterns in fine particulate matter time series in Beijing: A calendar view. Scientific Reports, 6(32221), 1-6. DOI: 10.1038/srep32221

Liu, J., Li, J., Li, W., & Wu, J. (2015). Rethinking big data: A review on the data quality and usage issues. ISPRS Journal of Photogrammetry and Remote Sensing, 115, 134-142. DOI: http://dx.doi.org/10.1016/j.isprsjprs.2015.11.006

Liu, J., Li, J., Shaw, J., & Li, W. (2015). Mapping ethnic migration in mainland China from early 1960s to 2010. Environment and Planning A: Economy and Space, 48(10), 1886-1888. DOI: 10.1177/0308518X15616632

Liu, J., & Li, W. (2015). A nighttime light imagery estimation of ethnic disparity in economic well-being in mainland China and Taiwan (2001–2013). Eurasian Geography and Economics, 55, 691-714. DOI: https://doi.org/10.1080/15387216.2015.1041147

Liu, J., Li, W., & Li, J. (2015). Quality screening for air quality monitoring data in China. Environmental Pollution, 216, 720-723. DOI: http://dx.doi.org/10.1016/j.envpol.2016.06.037

Liu, J., Li, W., & Wu, J. (2018). A framework for delineating the regional boundaries of PM2.5 pollution: A case study of China. Environmental Pollution, 235, 642-651.

Liu, J., Li, W., Wu, J., & Liu, Y. (2018). Visualizing the intercity correlation of PM2.5 time series in the Beijing-Tianjin-Hebei region using ground-based air quality monitoring data. Plos One, 13(2), e0192614. DOI: 10.1371/journal.pone.0192614

Liu, J., Wong, S.W., & Tang, B.S. (2018). 城市化过程中城郊农村社区治理结构变迁——基于广州 A 区的研究 (The transformation of community governance structure in peri-urban China: an empirical study in District A, Guangzhou). 中国农村观察 (China Rural Survey). 2018(3), 1-17.

Liu, X. (2019). Assessing airport ground access by public transport in Chinese cities. Urban Studies, 57(2), 267-285. DOI: http://dx.doi.org/10.1177/0042098019828178

Liu, X. (2014). Exploring joint dynamics of intercity Internet and corporate networks: A stochastic actor-based modeling approach. Global Networks, 14, 167-187.

Liu, X., Dai, L., & Derudder, B. (2016). Spatial inequality in the Southeast Asian intercity transport network. Geographical Review, 1-19.

Liu, X., & Derudder, B. (2013). Analyzing urban networks through the lens of corporate networks: A critical review. Cities, 31, 430-437.

Liu, X., Derudder, B., & Garcia, C. (2013). Exploring the co-evolution of air transport aviation and corporate network. Journal of Transport Geography, 30, 26-36.

Liu, X., Derudder, B, & Liu, Y. (2015). Regional geographies of the intercity corporate network: Exponential random graph models of regional network formation. Papers in Regional Science, 94, 109-126.

Liu, X., Derudder, B., Liu, Y., Witlox, F., & Shen, W. (2013). A stochastic actor-based modelling of the evolution of an intercity corporate network. Environmental and Planning A: Economy and Space, 45, 947-966.

Liu, X., Derudder, B., & Taylor, P. (2014). Mapping the evolution of hierarchical and regional tendencies in the world city network, 2000-2010. Computers, Environment and Urban Systems, 43, 51-66.

Liu, X., Derudder, B., & Wang, M. (2017). Polycentric urban development in China: A multiscale analysis. Environment and Planning B: Urban Analytics and City Science, 45(5), 953-972. DOI: 10.1177/2399808317690155.

Liu, X., Derudder, B., Witlox, F., & Hoyler, M. (2014). Measuring the temporal evolution of dualities of an intercity corporate network. Tijdschrift voor Economische en Sociale Geografie, 105, 465-482.

Liu, X., Derudder, B., & Wu, K. (2015). Measuring polycentric urban development in China: An intercity transportation network perspective. Regional Studies, 50(8), 1302-1315.

Liu, X., & Hu, X. (2018). Are ‘Sister Cities’ from ‘Sister Provinces’? An exploratory study of Sister City Relations (SCRs) in China. Networks and Spatial Economics, 18, 473-491. DOI: http://dx.doi.org/10.1007/s11067-018-9408-z

Liu, X., & Long, Y. (2015). Automated identification and characterization of parcels with OpenStreetMap and points of interest. Environment and Planning B: Urban Analytics and City Science, 43(2), 341-360. DOI: 10.1177/0265813515604767

Liu, X., Song, Y., Wu, K., Wang, J., Li, D., & Long, Y. (2015). Understanding urban China with open data. Cities, 47, 53-61.

Liu, X., & Taylor, P. (2011). A robustness assessment of GAWC global network connectivity ranking. Urban Geography, 32, 1227-1237.

Liu, X., & Wang, J. (2015). The geography of Weibo. Environment and Planning A: Economy and Space, 47, 1231-1234.

Liu, X., & Wang, M. (2016). How polycentric is urban China and why? A case study of 318 cities. Landscape and Urban Planning, 151, 10-20.

Liu, X., & Zhou, J. (2017). Mind the missing links in China’s urbanizing landscape: The phenomenon of broken intercity trunk roads and its underpinnings, Landscape and Urban Planning, 165, 64-72. http://dx.doi.org/10.1016/j.landurbplan.2017.05.005

Liu, Y., & He, S. (2017). Unpacking the heterogeneity of poor neighbourhoods and neighbouring in large Chinese cities. Area Development and Policy, 2(3), 294-313. DOI: https://doi.org/10.1080/23792949.2017.1341816.

Liu, Y., & He, S. (2010). Chinese urban villages as marginalized neighbourhoods under rapid urbanization. In F. Wu & C. Webster (Eds.), Marginalization in Urban China: Comparative Perspectives (pp. 177-200). London: Palgrave Macmillan.

Liu, Y., He, S., & Wu, F. (2012). Housing differentiation under market transition in Nanjing, China. The Professional Geographer, 64(4), 554–571.

Liu, Y., He, S., Wu, F., & Webster, C. (2010). Urban villages under China’s rapid urbanization: Unregulated assets and transitional neighbourhoods. Habitat International, Exeter, 34(2), 135-144.

Lozano et al. [306th of 790 GBD collaborators] (2020). Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, in press. DOI: https://doi.org/10.1016/S0140-6736(20)30750-9.

Lu, W., Chen, X., Peng, Y., & Liu, X. (2018). The effects of green building on construction waste minimization: Triangulating ‘big data’ with ‘thick data’. Waste Management, 79, 142-152. DOI: http://dx.doi.org/10.1016/j.wasman.2018.07.030

Lu, Y., Gou, Z., Xiao, Y., Sarkar, C., & Zacharias, J. (2018). Do Transit-Oriented Developments (TODs) and established urban neighborhoods have similar walking levels in Hong Kong? International Journal of Environmental Research and Public Health, 15, 555. DOI: http://dx.doi.org/10.3390/ijerph15030555

Lu, Y., Sarkar, C., & Xiao, Y. (2018). The effect of street-level greenery on walking behavior: Evidence from Hong Kong. Social Science & Medicine, 208, 41-49. DOI: https://doi.org/10.1016/j.socscimed.2018.05.022

Lu, Y., Sarkar, C., Ye, Y., & Xiao, Y. (2016). Using the Online Walking Journal to explore the relationship between campus environment and walking behaviour. Journal of Transport & Health, 5, 123-132.

Lu, Y., Sun, G., Gou, Z., Liu, Y., & Zhang, X. (2019). A dose-response effect between built environment characteristics and transport walking for youths. Journal of Transport & Health, 14, 100616. DOI: https://doi.org/10.1016/j.jth.2019.100616

Lu, Y., Sun, G., Sarkar C., Gou, Z., & Xiao, Y. (2018). Commuting mode choice in a high-density city: Do land-use density and diversity matter in Hong Kong? International Journal of Environmental Research and Public Health, 15, 920. DOI: http://dx.doi.org/10.3390/ijerph15050920

Lu, Y., Yang, Y., Sun, G., & Gou, Z. (2019). Associations between overhead-view and eye-level urban greenness and cycling behaviours. Cities, 88, 10-18. DOI: doi.org/10.1016/j.cities.2019.01.003

Luo, Y., & Chan, R.C.K. (2020). Production of coworking spaces: Evidence from Shenzhen, China. Geoforum, 110, 97-105. DOI: https://doi.org/10.1016/j.geoforum.2020.01.008

Lyu, T., Yao, S.M., Cao, Y., Liang, S., & Chan, R.C.K. (2010). Layout patterns of the intercity rail transit of urban agglomerations in China. Progress in Geography, 29(2), 249-256. (in Chinese)

Ma, J., Cheng, J.C.P., Jiang, F., Chen, W., Zhang, J. (2020). Analyzing driving factors of land values in urban scale based on big data and non-linear machine learning techniques. Land Use Policy, 94, 104537.

Ma, J., Cheng, J.C.P., Xu, Z., Chen, K., Lin, C., & Jiang, F. (2020). Identification of the most influential areas for air pollution control using XGBoost and Grid Importance Rank. Journal of Cleaner Production, 274, 122835. DOI: https://doi.org/10.1016/j.jclepro.2020.122835

Ma, J., Cheng, J.C.P., Jiang, F., Gan, V.J.L., Wang, M., & Zhai, C. (2020). Real-time detection of wildfire risk caused by powerline vegetation faults using advanced machine learning techniques. Advanced Engineering Informatics, 44, 101070.

Ma, J., Ding, Y., Cheng, J.C.P., Jiang, F., Xu, Z. (2020). Soft detection of 5-day BOD with sparse matrix in city harbor water using deep learning techniques. Water Research, 170, 115350.

Ma, J., Li, Z., Cheng, J.C.P., Ding, Y., Lin, C., Xu, Z. (2020). Air quality prediction at new stations using spatially transferred bi-directional long short-term memory network. Science of The Total Environment, 705, 135771.

Ma, J., Cheng, J.C.P., Lin, C., Tan, Y., & Zhang, J. (2019). Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques. Atmospheric Environment, 214, 116885.

Ma, J., Ding, Y., Cheng, J.C.P., Jiang, F., & Wan, Z. (2019). A temporal-spatial interpolation and extrapolation method based on geographic Long Short-Term Memory neural network for PM2. 5. Journal of Cleaner Production, 237, 117729.

Ma, J., & Cheng, J.C.P. (2017). Identification of the numerical patterns behind the leading counties in the US local green building markets using data mining. Journal of Cleaner Production, 151, 406-418.

Ma, J., & Cheng, J.C.P. (2016). Estimation of the building energy use intensity in the urban scale by integrating GIS and big data technology. Applied Energy, 183, 182-192.

Ma, J., & Cheng, J.C.P. (2016). Identifying the influential features on the regional energy use intensity of residential buildings based on Random Forests. Applied Energy, 183, 193-201.

Ma, L., Wu, J., Li, W., Peng, J., & Liu, H. (2014). Evaluating saturation correction methods for DMSP/OLS nighttime light data: A case study from China’s cities. Remote Sensing, 6, 9853-9872. DOI: 10.3390/rs6109853

Ma, Y., & Chiu, R.L.H. (2018). Governing rural redevelopment and re-distributing land rights: The case of Tianjin. Land Use Policy, 72, 533-546.

Mai, X., & Chan, R.C.K. (2020). Detecting the intellectual pathway of resilience thinking in urban and regional studies: A critical reflection on resilience literature. Growth and Change, 51, 876-889. DOI: https://doi.org/10.1111/grow.12390

Mai, X., Chan, R.C.K., & Zhan, C. (2019). Which sectors really matter for a resilient Chinese economy? A structural decomposition analysis. Sustainability, 11(22), 6333. DOI: https://doi.org/10.3390/su11226333

Matus, K.J., Nam, K.-M., Selin, N.E., Lamsal, L.N., Reilly, J.M., & Paltsev, S. (2012). Health damage from air pollution in China. Global Environmental Change, 22(1), 55-66.

Meng, S., Rifat Ara, M., Zhang, S., & Chiaradia, A. (2020). TOD, volumetric TOD, destination, public space and community cohesion, urbanie & urbanus. HKIUD Journal, 4, 33-49.

Mok, K.K., & Ho, H.C. (2021). Finding a home away from home: An explorative study on the use of social space with the voices of foreign domestic workers in Hong Kong. Annals of the American Association of Geographers. DOI: 10.1080/24694452.2020.1813542

Mu, X., & Yeh, A.G.O. (2020). Regional delineation of China based on commuting flows. Environment and Planning A: Economy and Space, 52(3), 478-482. DOI: https://doi.org/10.1177/0308518X19873006

Nam, K-M (2021). Environmental challenges in Chinese mega-city regions: Focusing on air-quality management. In A.G.O. Yeh, G.C.S. Lin, & F. Yan (Eds.), Mega-City Region Development in China (pp. 204-226). Oxon: Routledge.

Nam, K.-M. (2017). Is spatial distribution of China’s population excessively unequal? A cross-country comparison. Annals of Regional Science, 59(2), 453-474.

Nam, K.-M. (2016). Need for coordination between greenhouse gas and pollution abatement regulations: China’s case and its implications for Korea. In E. Kim, & B. Kim (Eds.), Quantitative Regional Economic and Environmental Analysis for Sustainability in Korea. New Frontiers in Regional Science: Asian Perspectives (Vol. 25, pp. 191-208). Singapore: Springer.

Nam, K.-M. (2015). Compact organizational space and technological catch-up: A comparative study of China’s three leading automotive groups. Research Policy, 44(1), 258-272.

Nam, K.-M. (2011). Learning through the international joint venture: Lessons from the experience of China’s automotive sector. Industrial and Corporate Change, 20(3), 855-907.

Nam, K.-M., Li, M., Wang, Y., & Wong, K.K.H. (2019). Spatio-temporal boundary effects on pollution-health costs estimation: The case of PM2.5 pollution in Hong Kong. International Journal of Urban Sciences, 23(4), 498-518.

Nam, K.-M., & Li, X. (2013). Out of passivity: Potential role of OFDI in IFDI-based learning trajectory. Industrial and Corporate Change, 22(3), 711-743.

Nam, K.-M., & Reilly, J.M. (2013). City-size distribution as a function of socioeconomic conditions: An eclectic approach to downscaling global population. Urban Studies, 50(1), 208-225.

Nam, K.-M., Selin, N.E., Reilly, J.M., & Paltsev, S. (2010). Measuring loss in human welfare caused by air pollution: A CGE analysis for the European region. Energy Policy, 38(9), 5059-5071.

Nam, K.-M., Waugh, C.J., Paltsev, S., Reilly, J.M., & Karplus, V.J. (2014). Synergy between pollution and carbon emissions control: Comparing China and the United States. Energy Economics, 46, 186-201.

Nam, K.-M., Waugh, C.J., Paltsev, S., Reilly, J.M., & Karplus, V.J. (2013). Carbon co-benefits of tighter SO2 and NOx regulations in China. Global Environmental Change, 23(6), 1648-1661.

Nam, K.-M., & Yoon, H. (2019). Air pollution in East Asia and its regional and socioeconomic impacts: An introduction. Annals of Regional Science, 63(2), 249-254.

Nam, K.-M., Zhang, X., Zhong, M., Saikawa, E., & Zhang, X. (2019). Health effects of ozone and particulate matter pollution in China: A province-level CGE analysis. Annals of Regional Science, 63(2), 269-293.

Niu, J., Liu, J., Lee, T.C., Lin, Z.J., Mak, C.M., Tse, K.T., Tang, B.S., & Kwok, K.C.S. (2015). A new method to assess spatial variations of outdoor thermal comfort: Onsite monitoring results and implications for precinct planning. Building and Environment, 91, 263-270.

Pan, F., Bi, W., Liu, X., & Sigler, T. (2020). Exploring financial centre networks through inter-urban collaboration in high-end financial transactions in China. Regional Studies, 54(2), 162-172. DOI: http://dx.doi.org/10.1080/00343404.2018.1475728

Park, S., Park, M.-G., & Nam, K.-M. (2019). Growth effects of fiscal decentralization with weak economic motivation: The case of South Korea. Annals of Regional Science, 63, 399-436.

Park, S.A., Kim, B.Y., Jang, W.C., & Nam, K.-M. (2014). Imperfect information and labor market bias against small and medium-sized enterprises: A Korean case. Small Business Economics, 43(3), 725-741.

Phillips, D.R., Cheng, K.H.C., Yeh, A.G.O., & Siu, O.L. (2010). Person-Environment (P-E) fit models and psychological well-being among older persons in Hong Kong. Environment and Behavior, 42(2), 221-242.

Piumatti, G., Moore, S., Berridge, D., Sarkar, C., & Gallacher, J. (2018). Commentary on: The relationship between alcohol use and long-term cognitive decline in middle and late life: A longitudinal analysis using UK Biobank. Journal of Public Health, 40(2), 313-314. DOI: http://dx.doi.org/10.1093/pubmed/fdy032

Piumatti, G., Moore, S.C., Berridge, D.M., Sarkar, C., & Gallacher, J. (2018). The relationship between alcohol use and long-term cognitive decline in middle and late life: A longitudinal analysis using UK Biobank. Journal of Public Health, 40(2), 304-311. DOI: https://doi.org/10.1093/pubmed/fdx186

Qi, Z., & Yeh, A.G.O. (2013). Integrating change vector analysis, post-classification comparison, and object-oriented image analysis for land use and land cover change detection using RADARSAT-2 Polarimetric SAR images. In S. Timpf, & P. Laube (Eds.), Advances in Spatial Data Handling (pp. 107-123). Berlin: Springer.

Qi, Z., Yeh, A.G.O., & Li, X. (2019). Scattering-mechanism-based investigation of optimal combinations of polarimetric SAR frequency bands for land cover classification. Photogrammetric Engineering & Remote Sensing, 85(11), 799-813. DOI: https://doi.org/10.14358/PERS.85.11.799

Qi, Z., Yeh, A.G.O, & Li, X. (2015). Land use and land cover mapping and change detection and monitoring using radar remote sensing. In P.S. Thenkabail (Ed.), Land Resources Monitoring, Modeling, and Mapping with Remote Sensing (pp. 605-636). New York: CRC Press.

Qi, Z., Yeh, A.G.O., Li, X., Shi, X, & Zhang, X. (2015). Monthly short-term detection of land development using RADARSAT-2 polarimetric SAR imagery. Remote Sensing of Environment, 164, 179-196.

Qi, Z., Yeh, A.G.O., Li, X., & Zhang, X. (2015). A three-component method for timely detection of land cover changes using polarimetric SAR images. ISPRS Journal of Photogrammetry and Remote Sensing, 107, 3-21.

Qian, J., & He, S. (2012). Rethinking social power and the right to the city midst China’s emerging urbanism. Environment and Planning A: Economy and Space, 44(12), 2801-2816.

Qian, J., He, S., & Liu, L. (2013). Aestheticisation, rent-seeking, and rural gentrification amidst China’s rapid urbanisation: The case of Xiaozhou village, Guangzhou. Journal of Rural Studies, 32, 331-345.

Reilly, J.M., Paltsev, S., Strzepek, K., Selin, N.E., Cai, Y., Nam, K.-M., Monier, E., Dutkiewicz, S., Scott, J., Webster, M., & Sokolov, A. (2013). Valuing climate impacts in integrated assessment models: The MIT IGSM. Climatic Change, 117(3), 561-573.

Renaud, B., Chiu, R.L.H., & Liu, Z. (2019). Global and local housing challenges. In R.L.H. Chiu, Z. Liu, & B. Renaud (Eds.), International Housing Market Experience and Implications for China (pp. 3-26). New York, NY: Routledge.

Ronald, R., & Chiu, R.L.H. (2010). Editorial: Changing housing policy landscapes in Asia Pacific. International Journal of Housing Policy, 10(3), 223-231.

Samara, T., He, S., & Chen, G. (Eds.) (2013). Locating Right to the City in the Global South: Transnational Urban Governance and Socio-spatial Transformations. London & New York: Routledge.

Sarkar, C. (2018). Editorial: Towards quantifying the role of urban place factors in the production and socio-spatial distribution of mental health in city dwellers. Journal of Urban Design and Mental Health, 4, 2. URL: https://www.urbandesignmentalhealth.com/edition-4.html

Sarkar, C. (2017). Residential greenness and adiposity: Findings from the UK Biobank. Environment International, 106, 1-10. DOI: https://doi.org/10.1016/j.envint.2017.05.016

Sarkar, C., & Webster, C. (2017). Urban environments and human health: Current trends and future directions. Current Opinion in Environmental Sustainability, 25, 33-44.

Sarkar, C., & Webster, C. (2017). Healthy cities of tomorrow: The case for large scale built environment–health studies. Journal of Urban Health: Bulletin of the New York Academy of Medicine, 94(1), 4-19.

Sarkar, C., Webster, C., & Gallacher, J. (2018). Neighbourhood walkability and incidence of hypertension: Findings from the study of 429,334 UK Biobank participants. International Journal of Hygiene and Environmental Health, 221(3), 458-468. DOI: https://doi.org/10.1016/j.ijheh.2018.01.009

Sarkar, C., Webster, C., & Gallacher, J. (2018). Are exposures to ready-to-eat food environments associated with type 2 diabetes? Full data, cross-sectional evidence from N=347 551 UK Biobank adult participants. The Lancet Planetary Health, 2(10), e438-450. URL: https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(18)30208-0/fulltext

Sarkar, C., Webster, C., & Gallacher, J. (2018). Residential greenness and prevalence of major depressive disorders: A cross-sectional, observational, associational study of 94 879 adult UK Biobank participants. The Lancet Planetary Health, 2(4), e162-e173. DOI: http://dx.doi.org/10.1016/S2542-5196(18)30051-2

Sarkar, C., Webster, C., & Gallacher, J. (2017). Association between adiposity outcomes and residential density: A full-data, cross-sectional analysis of 419 562 UK Biobank adult participants. The Lancet Planetary Health, 1(7), e277–e288. DOI: http://dx.doi.org/10.1016/S2542-5196(17)30119-5

Sarkar, C., Webster, C., & Kumari, S. (2017). Street morphology and severity of road casualties: A 5-year study of Greater London. International Journal of Sustainable Transportation, 12(7), 510-525. DOI: https://doi.org/10.1080/15568318.2017.1402972

Sarkar, C., Zhang, B., Ni, M., Kumari, S., Bauermeister, S., Gallacher, J., & Webster, C. (2019). Environmental correlates of chronic obstructive pulmonary disease in 96 779 participants from the UK Biobank: A cross-sectional, observational study. The Lancet Planetary Health, 3(11), e478-e490. DOI: https://doi.org/10.1016/S2542-5196(19)30214-1

Seo, B., & Chiu, R.L.H. (2014). Social cohesiveness of disadvantaged communities in urban South Korea: The impact of the physical environment. Housing Studies, 29(3), 407-437.

Shen, Q.P., Wang, H., & Tang, B.S. (2014). A decision making framework for sustainable land use in Hong Kong’s urban renewal projects. Smart and Sustainable Built Environment, 3, 35-53.

Shi, C., & Tang, B.S. (2019). Institutional change and diversity in the transfer of land development rights in China: The case of Chengdu. Urban Studies, 57(3), 473-489. DOI: 10.1177/0042098019845527

Shi, N., Zhai, G., Song, J., Chan, R.C.K., & Luo, X. (2011). New trends and challenges for urban and rural planning education in China. Planners, 27(12), 5-7. (in Chinese)

Shi, W., Yeh, A.G.O., Leung, Y., & Zhou, C. (Eds.) (2012). Advances in Spatial Data Handling and GIS. Berlin: Springer.

Shi, Y., Bilal, M., Ho, H.C., & Omar, A. (2020). Urbanization and regional air pollution across South Asian developing countries – A nationwide land use regression for ambient PM2.5 assessment in Pakistan. Environmental Pollution, 266 (2), 115145.

Si, Q., Yeh, A.G.O., & Zhang, M. (2020) Capitalisation of accessibility to dockless bike sharing in housing rentals: Evidence from Beijing. Transportation Research Part D. DOI: https://doi.org/10.1016/j.trd.2020.102640

Si, Q., Yeh, A.G.O., Zhang, M., & Yan, X. (2020). Effects of state-led suburbanization on traffic crash density in China: Evidence from the Chengdu City Proper. Accident Analysis and Prevention, 148, 105775. DOI: https://doi.org/10.1016/j.aap.2020.105775

Sieh, L., Chiaradia, A., Jones, S., & Waters, F. (2021). The value gradient map. Urban Design, 157, Winter.

Song, G., Liu, L., He, S., Cai, L., & Xu, C. (2020). Safety perceptions among African migrants in Guangzhou and Foshan, China. Cities, 99, 102624. DOI: https://doi.org/10.1016/j.cities.2020.102624

Song, J., Chang, Z., Li, W., Feng, Z., Wu, J., Cao, Q., & Liu, J. (2019). Resilience-vulnerability balance to urban flooding: A case study in a densely populated coastal city in China. Cities, 95, 102381. DOI: https://doi.org/10.1016/j.cities.2019.06.012

Song, J., & Li, W. (2019). Linkage between the environment and individual resilience to urban flooding: A case study of Shenzhen, China. International Journal of Environmental Research and Public Health, 16(14), 2559. DOI: https://doi.org/10.3390/ijerph16142559

Song, X.D., Yeh, A.G.O., & Niu, X.Y. (2010). Principles of Geographic Information System and Their Applications in Urban Planning and Management (2nd Ed.). Beijing: Science Press. (in Chinese)

Su, S., Zhang, J., He, S., Zhang, H., Hu, L., & Kang, M. (2020). Unraveling the impact of TOD on housing rental prices and implications on spatial planning: A comparative analysis of five Chinese megacities. Habitat International, 107, 102309.

Sun, G., & Webster, C. (2019). The security grills on apartments in gated communities: Trading-off 3D and 2D landscapes of fear in China. Cities, 90, 113-121. DOI: doi.org/10.1016/j.cities.2019.02.003

Sun, G., Webster, C., & Zhang, X. (2019). Connecting the city: A three-dimensional pedestrian network of Hong Kong. Environment and Planning B: Urban Analytics and City Science, 1-16. DOI: 10.1177/2399808319847204

Sun, Y., & Chan, R.C.K. (2016). Planning discourses, local state commitment, and the making of a New State Space (NSS) for China: Evidence from regional strategic development plans in the Pearl River Delta. Urban Studies, 54(14), 3281-3298. DOI: 10.1177/0042098016665954

Sun, Y., Lin, J., & Chan, R.C.K. (2017). Pseudo use value and output legitimacy of local growth coalitions in China: A case study of the Liede redevelopment project in Guangzhou. Cities, 61, 9–16.

Tang, B.S. (2017). Explaining the inequitable spatial distribution of public open space in Hong Kong. Landscape and Urban Planning, 161, 80-89.

Tang, B.S., & Ho, W.K.O. (2015). Land-use planning and market adjustment under de-industrialization: Restructuring of industrial space in Hong Kong. Land Use Policy, 43, 28-36.

Tang, B.S., & Wong, K.T. (2020). Assessing externality: Successive event studies on market impacts of new housing development on an old neighbourhood. Environment and Planning B: Urban Analytics and City Science, 47(1), 156-173.

Tang, B.S., Wong, S.W., Ho, W.K.O., & Wong, K.T. (2020). Urban land uses within walking catchment of metro stations in a transit-oriented city. Journal of Housing and the Built Environment, 35, 1303-1319.

Tang, B.S., Wong, S.W., & Liu, S.C. (2011). Institutions, property taxation and local government finance in China. Urban Studies, 48(5), 847-875.

Tang, B.S., & Yiu, C.Y. (2010). Space and scale: A study of development intensity and housing price in Hong Kong. Landscape and Urban Planning, 96(3), 172-182.

Tang, J.Y.M., Chui, C.H.K., Lou, V.W.Q., Chiu, R.L.H., Kwok, R., Tse, M., Leung, A.Y. M., Chau, P.-H., & Lum, T.Y.S. (2021). The contribution of sense of community to the association between age-friendly built environment and health in a high-density city: A cross-sectional study of middle-aged and older adults in Hong Kong. Journal of Applied Gerontology. DOI: 10.1177/0733464821991298

Tian, Y., Liu, Y., Liu, X., Kong, X., & Liu, G. (2017). Restructuring rural settlements based on subjective well-being (SWB): A case study in Hubei province, central China. Land Use Policy, 63, 255-265.

Wang, D., & He, S. (Eds.) (2015). Urban Living: Mobility, Sociability and Wellbeing. Berlin: Springer.

Wang, D., He, S., Webster, C., & Zhang, X. (2019). Unravelling residential satisfaction and relocation intention in three urban neighborhood types in Guangzhou, China. Habitat International, 85, 53-62. DOI: https://doi.org/10.1016/j.habitatint.2019.01.004

Wang, D., Lau, K.K.L., Ren, C., Bernard III, G.W., Shi, Y., Ho, H.C., Lee, T.C., Lee, L.S., Woo, J., & Ng, E. (2019). The impact of extremely hot weather events on all-cause mortality in a highly urbanized and densely populated subtropical city: A 10-year timeseries study (2006–2015). Science of the Total Environment, 690, 923-931. DOI: 10.1016/j.scitotenv.2019.07.039

Wang, H., Li, J., Gao, M., Chan, T.C., Gao, Z., Zhang, M., Li, Y., Gu, Y., Chen, A., Yang, Y., & Ho, H.C. (2020). Spatiotemporal variability in long-term population exposure to PM2. 5 and lung cancer mortality attributable to PM2. 5 across the Yangtze River Delta (YRD) region over 2010–2016: A multistage approach. Chemosphere, 257, 127153.

Wang, H., Li, J., Gao, Z., Yim, S.H.L., Shen, H., Ho, H.C., Li, Z., Zeng, Z., Liu, C., Li, Y., Ning, G., & Yang, Y. (2019). High-spatial-resolution population exposure to PM2.5 pollution based on multi-satellite retrievals: A case study of seasonal variation in the Yangtze River Delta, China in 2013. Remote Sensing, 11(23), 2724. DOI: https://doi.org/10.3390/rs11232724

Wang, H., Shen, Q.P., Tang, B.S., Lu, C., Peng, Y., & Tang, L.Y. (2014). A framework of decision-making factors and supporting information for facilitating sustainable site planning in urban renewal projects. Cities, 40, 44-55.

Wang, H., Shen, Q.P., Tang, B.S., & Skitmore, M. (2013). An integrated approach to supporting land-use decisions in site redevelopment for urban renewal in Hong Kong. Habitat International, 38(1), 70-80.

Wang, J., & Yeh, A.G.O. (2020). Administrative restructuring and urban development in China: Effects of urban administrative level upgrading. Urban Studies, 57(6), 1201–1223. DOI: https://doi.org/10.1177/0042098019830898

Wang, J., Zhang, X., & Yeh, A.G.O. (2016). Spatial proximity and location dynamics of knowledge-intensive business service in the Pearl River Delta, China. Habitat International, 53, 390-402.

Wang, K., & He, S. (2019). Unraveling the marginalization of new generation peasant workers in China: Cultural reproduction and symbolic construction. Journal of Urban Affairs, 41(3), 282-304. DOI: 10.1080/07352166.2018.1451253

Wang, M., Madden, M., & Liu X. (2017). Exploring the relationship between urban forms and CO2 emissions in 104 Chinese cities. Journal of Urban Planning and Development, 143(4), 04017014. DOI: http://dx.doi.org/10.1061/(ASCE)UP.1943-5444.0000400

Wang, X., Huang, Y.P., Chan, R.C.K., & He, X.F. (2018). A study on the rural social network and village planning paradigm in China. China City Planning Review, 27(1), 59-66. URL: http://www.ccprjournal.com.cn/news/9599.htm

Wang, X., Xu, Z., Su, H., Ho, H.C., Song, Y., Zheng, H., Hossain, M.Z., Alfazal Khan, M., Bogale, D., Wei, J., & Cheng, J. (2021). Ambient particular matters (PM1, PM2.5, PM10) and childhood pneumonia: The smaller particle, the greater short-term impact? Science of the Total Environment, 772, 145509.

Webster, C., Chiaradia, A.J.F., Gallacher, J.E.J., Huang, J., Jiang, B., Kumari, S., Melbourne, S.J., Ni, M.Y., Pryor, M.R., Sarkar, C., Sun, G., Tang, D.S.W., Zhang, X., & Sullivan, W.C.S. (2017). Being more precise about the smart in smart cities. In K. Tang (Ed.), Hong Kong Institute of Planners Journal (Issue 31, pp.3-24). Hong Kong: Hong Kong Institute of Planners.

Webster, C., Wu, F., Zhang, F., & Sarkar, C. (2016). Informality, property rights and poverty in China’s ‘favelas’. World Development, 78, 461-476.

Wei, Z., & Chiu, R.L.H. (2018). Livability of subsidized housing estates in marketized socialist China: An institutional interpretation. Cities, 83, 108-117. DOI: https://doi.org/10.1016/j.cities.2018.06.013

Wei, Z., Liu, Y., He, S., & Mo, H. (2020). Housing differentiation in transitional urban China. Cities, 96, 102469. DOI: https://doi.org/10.1016/j.cities.2019.102469

Wong, K.K.H., Tang, K.S.S., Wong, S.W., & Tang, B.S. (2019). Measuring walking accessibility to public open space in a multi-level urban environment. The 2nd International Conference on Urban Informatics (ICUI 2019). The Hong Kong Polytechnic University, Hong Kong (24-26 June 2019).

Wong, M.S., Ho, H.C., & Tse, A. (2020). Geospatial context of social and environmental factors associated with health risk during temperature extremes: Review and discussion. Geospatial Health, 15 (814), 168-173.

Wong, S.W., Tang, B.S., & Liu, J.L. (2020). Village elections, grassroots governance and state power restructuring: An empirical study in the southern periurban China. The China Quarterly, 241, 22-42.

Wong, S.W., Tang, B.S., & Liu, J.L. (2018). Village redevelopment and desegregation as a strategy for metropolitan development in southern China: Some lessons from Guangzhou City. International Journal of Urban and Regional Research, 42(6).

Wu, F., He, S., & Webster, C. (2010). Path dependency and the neighbourhood effect: Urban poverty in impoverished neighbourhoods in Chinese cities. Environment and Planning A: Economy and Space, 42, 134-152.

Wu, F., Webster, C., He, S., & Liu, Y. (2010). Urban Poverty in China. Cheltenham: Edward Elgar Press.

Wu, J., He, S., Peng, J., Li, W., & Zhong, X. (2013). Intercalibration of DMSP-OLS night-time light data by the invariant region method. International Journal of Remote Sensing, 34(20), 7356-7368.

Wu, J., Li, J., Peng, J., Li, W., Xu, G., & Dong, C. (2014). Applying land use regression model to estimate spatial variation of PM2.5 in Beijing, China. Environmental Science and Pollution Research, 22, 7045-7061.

Wu, J., Ma, L., Li, W., Peng, J., & Liu, H. (2014). Dynamics of urban density in China: Estimations based on DMSP/OLS nighttime light data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 4266-4275.

Wu, J., Wang, M., Li, W., Peng, J., & Huang, L. (2014). Impact of urban green space on residential housing prices: Case study in Shenzhen. Journal of Urban Planning and Development, 141(4).

Wu, J., Wang, Z., Li, W., & Peng, J. (2013). Exploring factors affecting the relationship between light consumption and GDP based on DMSP/OLS nighttime satellite imagery. Remote Sensing of Environment, 134, 111-119.

Wu, J., Yao, F., Li, W., & Si, M. (2016). VIIRS-based remote sensing estimation of ground-level PM2.5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model. Remote Sensing of Environment, 184, 316-328.

Xia, C., Yeh, A.G.O., & Zhang, A. (2020). Analyzing spatial relationships between urban land use intensity and urban vitality at street block level: A case study of five Chinese megacities. Landscape and Urban Planning, 193, 103669. DOI: https://doi.org/10.1016/j.landurbplan.2019.103669

Xia, C., Zhang, A., Wang, H., & Yeh, A.G.O. (2019). Predicting the expansion of urban boundary using space syntax and multivariate regression model. Habitat International, 86, 126–134. DOI: https://doi.org/10.1016/j.habitatint.2019.03.001

Xia, C., Zhang, A., & Yeh, A.G.O. (2019). Shape-weighted landscape evolution index: An improved approach for simultaneously analyzing urban land expansion and redevelopment. Journal of Cleaner Production, 244, 118836. DOI: https://doi.org/10.1016/j.jclepro.2019.118836

Xian, S., & Chan, R.C.K. (2014). Urban competitiveness and co-opetition: A theoretical exploration (城市競爭力與區域城市競合:一個理論的分析框架). Economic Geography (經濟地理), 34(3), 1-5. (in Chinese)

Xian, S., Chan, R.C.K., & Qi, Z. (2015). Booming provincial-led north-south city-to-city cooperation in China: A case study of Suzhou-Suqian Industrial Park of Jiangsu Province. Cities, 46, 44-54.

Xiao, Y., Miao, S., Sarkar, C., Geng, H., & Lu, Y. (2018). Exploring the impacts of housing condition on migrants’ mental health in Nanxiang, Shanghai: A structural equation modelling approach. International Journal of Environmental Research and Public Health, 15(2), 225. DOI: 10.3390/ijerph15020225

Xiao, Y., Sarkar, C., Webster, C.J., Chiaradia, A.J.F., & Yi, L. (2017). Street network accessibility-based methodology for appraisal of land use master plans: An empirical case study of Wuhan, China. Land Use Policy, 69, 193–203.

Xin, M., & Chan, R.C.K. (2020). Detecting the intellectual pathway of resilience thinking in urban and regional studies: A critical reflection on resilience literature. Growth and Change. DOI: http://dx.doi.org/10.1111/grow.12390

Xu, J., & Yeh, A.G.O. (2013). Interjurisdictional cooperation through bargaining: The case of the Guangzhou-Zhuhai Railway in the Pearl River Delta, China. The China Quarterly, 213, 130-151.

Xu, J., & Yeh, A.G.O. (2012). Re-building regulation and re-inventing governance in the Pearl River Delta, China. Urban Policy and Research, 30(4), 385-401.

Xu, J., & Yeh, A.G.O. (2011). Political economy of regional cooperation in the Pan-Pearl River Delta. In A.G.O. Yeh and J. Xu (Eds.), China’s Pan-Pearl River Delta: Regional Cooperation and Development (pp. 103-124). Hong Kong: Hong Kong University Press.

Xu, J., & Yeh, A.G.O. (Eds.) (2010). Governance and Planning of Mega-City Regions: An International Comparative Perspective. London: Routledge.

Xu, J., & Yeh, A.G.O. (2010). Governance and planning of mega-city regions: Diverse processes and reconstituted state spaces. In J. Xu and A.G.O. Yeh (Eds.), Governance and Planning of Mega-City Regions: An International Comparative Perspective (pp. 1-25). London: Routledge.

Xu, J., & Yeh, A.G.O. (2010). Coordinating the fragmented mega-city regions in China: State reconstruction and regional strategic planning. In J. Xu and A.G.O. Yeh (Eds.), Governance and Planning of Mega-City Regions: An International Comparative Perspective (pp. 213-235). London: Routledge.

Xu, J., & Yeh, A.G.O. (2010). Planning mega-city regions in China: Rationales and policies. Progress in Planning, 73, 17-22.

Xu, S., & Chan, R.C.K. (2012). The interpretation of mixed-use development: Concepts and typologies. Planners《规划师》, 28(7), 105-109. (in Chinese)

Xu, S., Qi, Z., Li, X., & Yeh, A.G.O. (2019). Investigation of the effect of the incidence angle on land cover classification using fully polarimetric SAR images. International Journal of Remote Sensing, 40(4), 1576-1593. DOI: https://doi.org/10.1080/01431161.2018.1528021

Xu, W., Zhou, J., & Qiu, G. (2018). China’s high-speed rail network construction and planning over time: A network analysis, Journal of Transport Geography, 70, 40-54. DOI: http://dx.doi.org/10.1016/j.jtrangeo.2018.05.017

Xu, W., Zhou, J., Yang, L., & Li, L. (2018). The implications of high-speed rail for Chinese cities: Connectivity and accessibility. Transportation Research Part A: Policy and Practice, 116, 308-326. DOI: http://dx.doi.org/10.1016/j.tra.2018.06.02

Xu, Y., Tang, B.S., & Chan, E.H.W. (2011). State-led land requisition and transformation process of rural villages in transitional China: A case study of Shanghai. Habitat International, 35(1), 57-65.

Xu, Z., & Yeh, A.G.O. (2014). Spatial-temporal development of foreign direct investment in Guangdong, China, from 1980 to 2011. Asian Geographer, 31(1), 31-57.

Xu, Z., & Yeh, A.G.O. (2013). Origin effects, spatial dynamics and redistribution of FDI in Guangdong, China. Tijdschrift voor Economische en Sociale Geografie (Journal of Economic and Social Geography), 104(4), 439–455.

Yan, X., & He, S. (2020). The co-evolution of therapeutic landscape and health tourism in bama longevity villages, China: An actor-network perspective. Health & Place, 66, 102448.

Yan, X., He, S., & Dong, D. (2020). Determining how far an adult rare disease patient needs to travel for a definitive diagnosis: A cross-sectional examination of the 2018 National Rare Socioeconomic Survey in China. International Journal of Environmental Research and Public Health, 17(5), 1757. DOI: https://doi.org/10.3390/ijerph17051757

Yang, J., Wong, M.S., Ho, H.C., Krayenhoff, S., Chan, P.W., Abbas, S., & Menenti, M. (2020). A semi-empirical method for estimating complete surface temperature from radiometric surface temperature, a study in Hong Kong city. Remote Sensing of Environment, 237, 111540. DOI: https://doi.org/10.1016/j.rse.2019.111540

Yang, L., Ho, J., Wong, F., Chang, K., Chan, K.L., Wong, M.S., Ho, H.C., Yuen, J., Huang, J., & Siu, J. (2020). Neighbourhood green space, perceived stress and sleep quality in an urban population. Urban Forestry and Urban Greening, 54, 126763.

Yang, L., Wang, B., Zhou, J., & Wang, X. (2018). Walking accessibility and property prices. Transportation Research Part D: Transport and Environment, 62, 551-562. DOI: http://dx.doi.org/10.1016/j.trd.2018.04.001

Yang, L., Wang, X., Sun, G., & Li, Y. (2019). Modelling the perception of walking environmental quality in a traffic-free tourist destination. Journal of Travel & Tourism Marketing, 1-16. DOI: 10.1080/10548408.2019.1598534

Yang, L., Zhou, J., Shyr, O., & Huo, D. (2018). Does bus accessibility affect property prices? Cities, 84, 56-65. DOI: http://dx.doi.org/10.1016/j.cities.2018.07.005

Yang, Y., Wang, H., Hu, B., Li, Q., Li, Y., & Yeh, A.G.O. (2012). Exploratory calibration of a spatial interaction model using taxi GPS trajectories. Computers, Environment and Urban Systems, 36(2), 140-153.

Yang, Y., Zhuang, Y., Yeh, A.G.O., Xie, J., Ma, C., & Li, Q. (2017). Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy. International Journal of Geographical Information Science, 31(4), 658-675.

Yao, F., Si, M., Li, W., & Wu, J. (2018). A multidimensional comparison between MODIS and VIIRS AOD in estimating ground-level PM2.5 concentrations over a heavily polluted region in China. Science of The Total Environment, 618, 819-828.

Yao, F., Wu, J., Li, W., & Peng, J. (2019). A spatially structured adaptive two-stage model for retrieving ground-level PM2.5 concentrations from VIIRS AOD in China. ISPRS Journal of Photogrammetry and Remote Sensing, 151, 263-276. DOI: 10.1016/j.isprsjprs.2019.03.011

Yao, F., Wu, J., Li, W., & Peng, J. (2019). Estimating daily PM2.5 concentrations in Beijing using 750-M VIIRS IP AOD retrievals and a nested spatiotemporal statistical model. Remote Sensing, 11(7), 841. DOI: 10.3390/rs11070841

Yao, S.M., Chan, R.C.K., Guan, C., & Wu, J. (2010). New trends of international airport and comprehensive utilization of airport resource in China. Resources and Environment in the Yangtze Basin, 19(8), 867-872. (in Chinese)

Yao, S.M., Chan, R.C.K., & Wang, B. (2012). A study on the spatial expansion patterns in China’s large coastal cities. Urban Insights, 5, 96-104. (in Chinese)

Yao, S.M., Chan, R.C.K., Ye, G., & Chen, W. (2015). The recognition of basic concepts of urban aggregation in China. Urban Insights, 1, 73-82. (in Chinese)

Yao, S.M., Chen, W.X., Chan, R.C.K., & Peng, L.H. (2016). Some key aspects of new urbanization process under the new normal of China’s economic growth. Areal Research and Development, 35(1), 1-4. (in Chinese)

Yao, S.M., Li, G., Yan, Y., Chen, S., & Chan, R.C.K. (2012). Study on innovation model of balanced development of metropolis in China. Human Geography, 27(5), 48-53. (in Chinese)

Yao, S.M., Li, Q., Chan, R.C.K., & Zhang, L. (2010). Research of development prospect about Shanghai and Hong Kong. Areal Research and Development, 29(2), 44-48. (in Chinese)

Yao, S.M., Li, Q., Wu, Q., Chan, R.C.K., & Zhang, L. (2010). Study on the development trend and direction of Chinese urban agglomerations. Geographical Research, 29(8), 1345-1354. (in Chinese)

Yao, S.M., Lu, D., Chan, R.C.K., Li. C., Wang, C., & Wu, J. (2012). Critical review of urbanization in China. Economic Geography, 32(5), 1-6. (in Chinese)

Ye, J., & Chiu, R.L.H. (Eds.) (2010). Proceedings of the 2010 International Conference of Asia Pacific Network for Housing Research: Housing Affordability, Sustainability and Livability: Towards a Comparative Approach”, conference organized by the Department of Land and Real Estate Management, Renmin University of China, 21-22 August 2010, published by China Architecture & Building Press, Beijing. (ISBN 978-7-112-12328-5).

Ye, Y., Li, D., & Liu, X. (2018). How block density and typology affect urban vitality: An exploratory analysis in Shenzhen, China. Urban Geography, 39(4), 631-652. DOI:  http://dx.doi.org/10.1080/02723638.2017.1381536

Yeh, A.G.O. (2021). Successes and failures of new towns in Hong Kong. In R. Peiser, & A. Forsyth (Eds.), New Towns for the Twenty-First Century (pp. 182-199). Philadelphia: University of Pennsylvania Press.

Yeh, A.G.O., Lin, G.C.S., & Yan, F. (Eds.) (2021). Mega-City Region Development in China. Oxon: Routledge.

Yeh, A.G.O., & Chen, Z. (2019). From cities to super mega city regions in China in a new wave of urbanisation and economic transition: Issues and challenges. Urban Studies, 57(3), 636-654. DOI: 10.1177/0042098019879566

Yeh, A.G.O., & Qi, Z. (2014). Short-interval monitoring of land use and land cover change using a time series of RADARSAT-2 polarimetric SAR images. In M.P. Kwan et al. (Eds.), Space-Time Integration in Geography and GIScience (pp. 353-371). Dordrecht: Springer.

Yeh, A.G.O., & Tang, K.S.S. (2011). A GIS-based computer-supported collaborative work flow system in urban planning. In T.L. Nyerges, H. Couclelis & R. McMaster (Eds.), GIS and Society (pp. 304-320). Los Angeles: Sage.

Yeh, A.G.O., & Xu, J. (Eds.) (2011). China’s Pan-Pearl River Delta: Regional Cooperation and Development. Hong Kong: Hong Kong University Press.

Yeh, A.G.O., & Xu, J. (2011). Regional cooperation in China’s transitional economy. In A.G.O. Yeh & J. Xu (Eds.), China’s Pan-Pearl River Delta: Regional Cooperation and Development (pp. 1-12). Hong Kong: Hong Kong University Press.

Yeh, A.G.O., & Xu, J. (2011). Perspective and prospects of China’s Pan-Pearl River Delta. In A.G.O. Yeh & J. Xu (Eds.), China’s Pan-Pearl River Delta: Regional Cooperation and Development (pp. 231-234). Hong Kong: Hong Kong University Press.

Yeh, A.G.O., & Yang, F. (2016). Growth and spatial development of producer services in China. In J.R. Bryson & P.W. Daniels (Eds.), Handbook of Service Business: Management, Marketing, Innovation and Internationalisation (pp. 392-416). Cheltenham, Glos: Edward Elgar.

Yeh, A.G.O., & Yang, F.F. (2017). Producer services and economic development. In D. Richardson, N. Castree, M.F. Goodchild, A. Kobayashi, W. Liu, & R.A. Marston (Eds.), The International Encyclopedia of Geography (Vol. X, pp. 5350-5353). New York: John Wiley.

Yeh, A.G.O., & Yang, F.F. (Eds.) (2013). Producer Services in China: Economic and Urban Development. London: Routledge.

Yeh, A.G.O., & Yang, F.F. (2013). Producer services and China’s economic and urban development: Introduction and overview. In A.G.O Yeh and F.F. Yang (Eds.), Producer Services in China: Economic and Urban Development (pp. 3-25). London: Routledge.

Yeh, A.G.O., & Yang, F.F. (2013). Producer services and the development of the Chinese urban system. In A.G.O Yeh and F.F. Yang (Eds.), Producer Services in China: Economic and Urban Development (pp. 173-198). London: Routledge.

Yeh, A.G.O., Yang, F., & Wang, J. (2015). Economic transition and urban transformation of China: The interplay of the state and the market. Urban Studies, 52(15), 2822–2848.

Yeh, A.G.O., Yang, F., & Wang, J. (2015). Producer service linkages and city connectivity in the mega-city region of China: A case study of the Pearl River Delta. Urban Studies, 52(13), 2458–2482.

Yeh, A.G.O., Yue, Y., Zhou, X., & Gao, Q.L. (2020). Big data, urban analytics and the planning of smart cities. In S. Geertman, & J. Stillwell (Eds.), Handbook of Planning Support Science (pp. 179-198). Cheltenham, UK: Edward Elgar Publishing.

Yeh, A.G.O., & Yuen, B. (2011). High-rise living in Asian cities. In B. Yuen & A.G.O. Yeh (Eds.), High-Rise Living in Asian Cities (pp. 1-8). Dordrecht: Springer.

Yeh, A.G.O., & Yuen, B. (2011). Tall building living in high density cities: A comparison of Hong Kong and Singapore. ”, In B. Yuen & A.G.O. Yeh (Eds.), High-Rise Living in Asian Cities (pp. 9-23). Dordrecht: Springer.

Yeh, A.G.O., Zhong, T., & Yue, Y. (2015). Hierarchical polygonization for generating and updating lane-based road network information for navigation from road markings. International Journal of Geographical Information Science, 29(9), 1509-1533.

Yi, H., Yang, F.F., & Yeh, A.G.O. (2011). Intraurban location of producer services in Guangzhou, China. Environment and Planning A: Economy and Space, 43(1), 28-47.

Yoshitaro, H., Dissanayake, T., Zheng, T., Kang, K., Yueqiong, N., Xu, Z., Sarkar, C., Woo, P.C.Y., Chow, B.K.C., Baker, D.M., Yan, A., Webster,C.J., Panagiotou, I., & Li, J. (2017). Toward a metagenomic understanding on the bacterial composition and resistome in Hong Kong banknotes. Frontiers in Microbiology, 8, 632: 1-12.

Yu, M., He, S., Wu, D., Zhu, H., & Webster, C. (2019). Examining the multi-scalar unevenness of high-quality healthcare resources distribution in China. International Journal of Environmental Research and Public Health, 16(16), 2813. DOI: 10.3390/ijerph16162813

Yue, Y., Lan, T., Yeh, A.G.O., & Li, Q. (2014). Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies. Travel Behaviour and Society, 1(2), 69-78.

Yuen, B., & Yeh, A.G.O. (Eds.) (2011). High-Rise Living in Asian Cities. Dordrecht: Springer.

Yuen, J.W.M., Chang, K.K.P., Wong, F.K.Y., Wong, F.Y., Siu, J.Y.M., Ho, H.C., Wong, M.S., Ho, J.Y.S., Chan, K.L., & Yang, L. (2019). Influence of urban green space and facility accessibility on exercise and healthy diet in Hong Kong. International Journal of Environmental Research and Public Health, 16, 1514.

Zhang, A., Xia, C., Chu, J., Lin, J., Li, W., & Wu, J. (2019). Portraying urban landscape: A quantitative analysis system applied in fifteen metropolises in China. Sustainable Cities and Society, 46, 101396. DOI: https://doi.org/10.1016/j.scs.2018.12.024

Zhang, L., & Chiaradia, A.J.F. (2020). Evaluation of TOD performances using multi-source big-data – Hong Kong as case study. Architecture and Technique, (26)9, 85-89.

Zhang, L., & Chiaradia, A.J.F. (2019). Three-dimensional Spatial Network Analysis and Its Application in a High Density City Area, Central Hong Kong. Urban Planning International (In Chinese), 34(1), 46-53. DOI: http://dx.doi.org/10.22217/upi.2018.513

Zhang, L., Ye, Y., Zeng, W., & Chiaradia, A.J.F. (2019). A systematic measurement of street quality through multi-sourced urban data: A human-oriented analysis. International Journal of Environmental Research and Public Health, 16(10), 1782. DOI: https://doi.org/10.3390/ijerph16101782

Zhang, M., & He, S. (2020). From dissensus to consensus: state rescaling and modalities of power under the Belt and Road Initiative in Western China. Annals of the American Association of Geographers, 1-20.

Zhang, M., & He, S. (2020). Informal property rights as relational and functional: Unravelling the relational contract in China’s informal housing market. International Journal of Urban and Regional Research, 44(6), 967-988.

Zhang, M., & He, S. (2020). Who feels secure in customary tenure and why? A triangular framework of perceived tenure security in China’s small property right housing. Cities, 107, 102900.

Zhang, M., He, S., & Zhao, P. (2018). Revisiting inequalities in the commuting burden: Institutional constraints and job-housing relationships in Beijing. Journal of Transport Geography, 71, 58-71.

Zhang, P., Zhou, J., & Zhang, T. (2017). Quantifying and visualizing jobs-housing balance with big data: A case study of Shanghai. Cities, 66, 10-22. DOI: http://dx.doi.org/10.1016/j.cities.2017.03.004

Zhang, T., Chiu, R.L.H., & Ho, H.C. (2019). Suburban neighborhood environments and depression: A case study of Guangzhou, China. Transport and Geography, 15, 100624. DOI: https://doi.org/10.1016/j.jth.2019.100624

Zhang, X., Melbourne, S., Sarkar, C., Chiaradia, A.J.F., & Webster, C. (2020). Effects of green space on walking: Does size, shape and density matter? Urban Studies. DOI: https://doi.org/10.1177/0042098020902739

Zhang, X., Ou, X., Yang, X., Qi, T., Nam, K.-M., Zhang, D., & Zhang, X. (2017). Socioeconomic burden of air pollution in China: Province-level analysis based on energy economic model. Energy Economics, 68, 478-489.

Zhang, Y., Xiang, Q., Yu, C., Bao, J., Ho, H.C., Sun, S., Ding, Z., Hu, K., & Zhang, L. (2019). Mortality risk and burden associated with temperature variability in China, United Kingdom and United States: Comparative analysis of daily and hourly exposure metrics. Environmental Research, 179, Part A, 108771. DOI: https://doi.org/10.1016/j.envres.2019.108771

Zhang, Y., Zhang, Y., & Zhou, J. (2019). A novel excess commuting framework: Considering commuting efficiency and equity simultaneously. Environment and Planning B: Urban Analytics and City Science. DOI: http://dx.doi.org/10.1177/2399808319851517

Zhao, M., Liu, X., Derudder, B., Zhong, Y., & Shen, W. (2014). Mapping producer services networks in mainland Chinese cities. Urban Studies, 52(16), 3018-3034. DOI: http://dx.doi.org/10.1177/0042098014558541

Zhao, S.X., Chan, R.C.K., & Chan, N.Y.M. (2012). Spatial polarization and dynamic pathways of foreign direct investment in China 1990-2009. Geoforum, 43(4), 836-850. DOI: 10.1016/j.geoforum.2012.02.001

Zhao, Z., Koutsopoulos, H. N., & Zhao, J. (2020). Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model. Transportation Research Part C: Emerging Technologies, 116, 102627.

Zhao, Z., Koutsopoulos, H. N., & Zhao, J. (2018). Detecting pattern changes in individual travel behavior: A Bayesian approach. Transportation Research Part B: Methodological, 112, 73-88.

Zhao, Z., Koutsopoulos, H. N., & Zhao, J. (2018). Individual mobility prediction using transit smart card data. Transportation Research Part C: Emerging Technologies, 89, 19-34.

Zhao, Z., & Zhao, J. (2018). Car pride and its behavioral implication: An exploration in Shanghai. Transportation, 47, 793-810.

Zheng, J., & Chan, R.C.K. (2014). The impact of ‘Creative Industry Clusters’ on cultural and creative industry development in Shanghai. City, Culture and Society, 5(1), 9-22.

Zheng, J., & Chan, R.C.K. (2013). A property-led approach to cluster development: ‘Creative industry clusters’ and creative industry networks in Shanghai. Town Planning Review, 84(5), 606–632.

Zhong, S., Pang, M., Ho, H.C., Jegasothy, E., Clayton, S., Wang, Z., & Huang, C. (2021). Assessing the effectiveness and pathways of planned shelters in protecting mental health of flood victims in China. Environmental Research Letters. DOI: 10.1088/1748-9326/abc446

Zhou, H., He, S., Cai, Y., Wang, M., & Su, S. (2019). Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning. Sustainable Cities and Society, 50, 101605. DOI: 10.1016/j.scs.2019.101605

Zhou, J., Corcoran, J., & Borsellino, R. (2017). Mapping cities by transit riders’ trajectories: The case of Brisbane, Australia. Environment and Planning A: Economy and Space, 49(8), 1707-1709. DOI: http://dx.doi.org/10.1177/0308518X17702647

Zhou, J., Li, Y., & Yang Y. (2018). Familiar strangers: Visualising potential metro encounters in Beijing. Environment and Planning A: Economy and Space, 50(2), 262-265. DOI: http://dx.doi.org/10.1177/0308518X17745874

Zhou, J., Murphy, E., & Corcoran, J. (2018). Integrating road carrying capacity and traffic congestion into the excess commuting framework. Environment and Planning B: Urban Analytics and City Science, 47(1), 119-137. DOI: https://doi.org/10.1177/2399808318773762

Zhou, J., Murphy, E., & Long, Y. (2019). Commuting efficiency gains: Assessing different transport policies with new indicators. International Journal of Sustainable Transportation, 13(10), 710-721. DOI: https://doi.org/10.1080/15568318.2018.1510562

Zhou, J., Sipe, N., Ma, Z., Mateo-Babiano, D., & Darchen, S. (2019). Monitoring transit-served areas with smartcard data: A Brisbane case study. Journal of Transport Geography, 76, 265-275. DOI: http://dx.doi.org/10.1016/j.jtrangeo.2017.07.005

Zhou, J., Wang, M., & Long, Y. (2017). Big data for intrametropolitan human movement studies. International Review for Spatial Planning and Sustainable Development, 5(3), 100-115. DOI: http://dx.doi.org/10.14246/irspsd.5.3_100

Zhou, J., Wang, Q., & Liu, H. (2018).  Evaluating transit-served areas with non-traditional data. Journal of Transport and Land Use, 11(1), 1323–1349. DOI: https://doi.org/10.5198/jtlu.2018.1296

Zhou, J., Wang, Y., & Wu, J. (2018). Mode choice of commuter students in a college town: An exploratory study from the United States. Sustainability, 10, 3316. DOI: http://dx.doi.org/10.3390/su10093316

Zhou, J., Yang, L., Liu, J., & Zhang, C. (2018). Beating long trips with a smartphone? A case study of Beijing residents. Cities, 73, 36-43. DOI: http://dx.doi.org/10.1016/j.cities.2017.10.007

Zhou, J., & Yang, Y. (2020). Fighting coronavirus at home: Visualizing “Slammers” for the extended spring festival break in China. Environment and Planning A: Economy and Space, 52(4), 688-690. DOI: https://doi.org/10.1177/0308518X20922236

Zhou, J., & Yang, Y. (2019). The death and life of restaurants: A visualization in the eras of easy online ordering and increased metro mobility. Environment and Planning A: Economy and Space, 51(4), 820-822. DOI: http://dx.doi.org/10.1177/0308518X19834307

Zhou, J., Yang, Y., Li, Y., & Maurer, V. (2018). Someone like you: Visualising co-presences of metro riders in Beijing. Environment and Planning A: Economy and Space, 50(4), 752-755. DOI: http://dx.doi.org/10.1177/0308518X18774049

Zhou, J., Yang, Y., Ma, H., & Li, Y. (2020). “Familiar Strangers” in big data era: An exploratory study of Beijing metro encounters. Cities, 97, 102495. DOI: https://doi.org/10.1016/j.cities.2019.102495

Zhou, J., Yang, Y., & Webster, C. (2020). Using big and open data to analyze transit oriented development: New outcomes and improved attributes. Journal of the American Planning Association (in press). DOI: https://doi.org/10.1080/01944363.2020.1737182

Zhou, J., Yang, Y., & Zhang, C. (2018). Food, work and sleep: Visualising the top food and population centres in Beijing. Environment and Planning A: Economy and Space, 51(3), 551-553. DOI: http://dx.doi.org/10.1177/0308518X18798837

Zhou, J., Yang, Y. L., & Webster, C. (2019). Legacies of European ‘Belt and Road’? Visualizing transport accessibility and its impacts on population distribution. Regional Studies, Regional Science, 6(1), 451-454. DOI: http://doi.org/10.1080/21681376.2019.1652111

Zhou, J., Zhang, M., & Zhu, P. (2019). The equity and spatial implications of transit fare. Transportation Research Part A: Policy and Practice, 121(C), 309-324. DOI: https://doi.org/10.1016/j.tra.2019.01.015

Zhou, X., & Yeh, A.G.O. (2020). Understanding the modifiable areal unit problem and identifying appropriate spatial unit in jobs–housing balance and employment self-containment using big data. Transportation. DOI: https://doi.org/10.1007/s11116-020-10094-z

Zhou, X., Yeh, A.G.O., Li, W., & Yue, Y. (2018). A commuting spectrum analysis of jobs–housing balance and self-containment of employment with mobile phone location data. Environment and Planning B: Urban Analytics and City Science, 45(3), 434-451.

Zhou, X., Yeh, A.G.O., & Yue, Y. (2018). Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data. Journal of Transport Geography, 68, 102-108.

Zhu, J., & Yeh, A.G.O. (2012). A self-learning short-term traffic forecasting system. Environment and Planning B: Planning and Design, 39, 471–485.

Zhu, L., Zhong, S., Tu, W., Zheng, J., He, S., Bao, J., & Huang, C. (2019). Assessing spatial accessibility to medical resources at the community level in Shenzhen, China. International Journal of Environmental Research and Public Health16(2), 242. DOI: 10.3390/ijerph16020242

Zhu, P., Wang, L., Jiang, Y., & Zhou, J. (2018). Metropolitan size and the impacts of telecommuting on personal travel. Transportation, 45, 385-414. DOI: http://dx.doi.org/10.1007/s11116-017-9846-3

Zhu, R., Wong, M.S., You, L., Santi, P., Nichol, J., Ho, H.C., Lu, L., & Ratti, C. (2020). The effect of urban morphology on the solar capacity of three-dimensional cities. Renewable Energy, 153, 1111-1126. DOI: https://doi.org/10.1016/j.renene.2020.02.050

Zhu, W.J., & Chiu, R.L.H. (2011). The planning and design of environmentally sustainable high-rises. In B. Yuen, & A.G.O. Yeh (Eds.), High-rise Living in Asian Cities (pp. 49-64). Springer.

Zhu, Y., Diao, M., Ferreira, J., Li, W., & Jiang, S. (2013). Flexible geospatial platform for distributed and collaborative urban modelling. In S. Geertman, F. Toppen, & J. Stillwell (Eds.), Planning Support Systems for Sustainable Urban Development (Lecture Notes in Geoinformation and Cartography) (pp.375-394). Verlag Berlin Heidelberg: Springer.

Zou, H., Yang, Y., Li, Q., & Yeh, A.G.O. (2012). An improved distance metric for the interpolation of link-based traffic data using Kriging: A case study of a large-scale urban road network. International Journal of Geographical Information Science, 26(4), 667-689.

Zuo, S., Yang, L., Dou, P., Ho, H.C., Dai, S., Ma, W., Ren, Y., & Huang, C. (2021). The direct and interactive impacts of hydrological factors on bacillary dysentery across different geographical regions in central China. Science of the Total Environment, 764, 144609.