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Black and White Architecture

Publications

We invite you to read our new white paper, which synthesizes key insights from the Sustainable Urbanisation in Asia Symposium and explores innovative strategies and holistic metrics for advancing sustainable urban development across Asia.

266

papers have been published since the establishment of the USI in December 2022
2026

10 papers published from 1 Jan 2026 to 17 Jan 2026

  • Connolly, C. and Kythreotis, A. (2026) ‘Building back better through urban blue and green space? A critical review of post-pandemic urban planning and climate governance’, Urban Studies, 63(1), pp. 3–21. Available at: https://doi.org/10.1177/00420980251332518.

  • Ding, F. et al. (2026) ‘Does e-shopping weaken the link between land use and neighborhood shopping behavior? Evidence from large-scale mobile phone data’, Applied Geography, 186. Available at: https://doi.org/10.1016/j.apgeog.2025.103809.

  • Huang, Y., Chen, B. and Webster, C. (2026) ‘Strategic greening: A multidimensional framework for balancing supply, demand, and cost in urban park allocation’, Urban Forestry and Urban Greening, 116. Available at: https://doi.org/10.1016/j.ufug.2025.129198.

  • Jiang, F. and Ma, J. (2026) ‘NO2 exposure disparities in active transportation: insights from the 15-minute city’, Transportation Research Part D: Transport and Environment, 150. Available at: https://doi.org/10.1016/j.trd.2025.105096.

  • Leung, C.M.C. et al. (2026) ‘Childhood neglect and adult mental disorders: A sibling-comparison study’, Journal of Affective Disorders, 392. Available at: https://doi.org/10.1016/j.jad.2025.120241.

  • Li, C., Zhu, J. and He, S. (2026) ‘Regulating in-between (in)formality: institutionalising the private rental market in China’s urban villages’, Housing Studies, 41(1), pp. 1–23. Available at: https://doi.org/10.1080/02673037.2024.2406264.

  • Shi, J. et al. (2026) ‘Interpersonal conflicts, social media use and depression associated with protests’, Nature Medicine [Preprint]. Available at: https://doi.org/10.1038/s41591-025-04145-0.

  • Wang, H., Chen, B. and Gong, P. (2026) ‘High-resolution 3D solar potential assessment reveals significant shading-driven overestimation in dense urban areas’, Landscape and Urban Planning, 265. Available at: https://doi.org/10.1016/j.landurbplan.2025.105521.

  • Yan, X., Han, Z. and He, S. (2026) ‘An infrastructural approach to cross-boundary healthcare access: The case of Hong Kong patients in the Greater Bay Area, China’, Social Science and Medicine, 390. Available at: https://doi.org/10.1016/j.socscimed.2025.118891.

  • Yang, Y., Zhou, M. and Zhou, J. (2026) ‘Re-understanding accessibility through a cognitive process: a conceptual framework and quantification’, Applied Geography, 186. Available at: https://doi.org/10.1016/j.apgeog.2025.103835.

2025

106 papers published in 2025

  • Ali, S.H., Connolly, C. and Keil, R. (2025) ‘Governing infectious disease in the urban periphery: marginality, informality and vulnerability’, City, 29(5–6), pp. 865–887. Available at: https://doi.org/10.1080/13604813.2025.2542033.

  • Bai, M. and He, S. (2025) ‘Real Estate Financialization and Property State 2.0: The Rise of Real Estate Investment Trusts in Singapore and Hong Kong’, Economic Geography [Preprint]. Available at: https://doi.org/10.1080/00130095.2025.2593497.

  • Barthélémy, M. et al. (2025) ‘Surfacic networks’, PNAS Nexus, 4(1). Available at: https://doi.org/10.1093/pnasnexus/pgae585.

  • Chen, Chen, Zhang, X. and Webster, C. (2025a) ‘Scaling of urban environmental performance in Chinese cities’, Environment and Planning B: Urban Analytics and City Science, 52(9), pp. 2120–2138. Available at: https://doi.org/10.1177/23998083251324765.

  • Chen, Chen, Zhang, X. and Webster, C. (2025b) ‘Spatio‐temporal impact of land use changes on nitrogen emissions in the Guangdong–Hong Kong–Macao Greater Bay Area’, Journal of Industrial Ecology, 29(2), pp. 458–472. Available at: https://doi.org/10.1111/jiec.13613.

  • Chen, C., Zhang, X. and Webster, C. (2025a) ‘Spatio-temporal impact of land use changes on nitrogen emissions in the Guangdong–Hong Kong–Macao Greater Bay Area’, Journal of Industrial Ecology, 29(2), pp. 458–472. Available at: https://doi.org/10.1111/jiec.13613.

  • Chen, C., Zhang, X. and Webster, C. (2025b) ‘Truncation in the scaling of urban pollution control’, npj Urban Sustainability, 5(1). Available at: https://doi.org/10.1038/s42949-025-00197-w.

  • Chen, J. et al. (2025) ‘Constructing an effective exposure index through mobile signal data in guangzhou: a refined resilience assessment of COVID-19-Driven shifts in urban green space usage’, Urban Forestry and Urban Greening, 113. Available at: https://doi.org/10.1016/j.ufug.2025.129023.

  • Chen, S., Guo, C., et al. (2025) ‘Fine particulate matter components and reproductive hormones in female adults: A 15-year longitudinal cohort study’, International Journal of Hygiene and Environmental Health, 266. Available at: https://doi.org/10.1016/j.ijheh.2025.114562.

  • Chen, S., Liu, Y., et al. (2025) ‘Long-term impacts of heatwaves on accelerated ageing’, Nature Climate Change, 15(9), pp. 1000–1007. Available at: https://doi.org/10.1038/s41558-025-02407-w.

  • Chen, S., Cao, Z. and Zhang, X. (2025) ‘Adaptive scootability index: Built environment, travel purpose and e-scooter preferred route’, Journal of Transport Geography, 123. Available at: https://doi.org/10.1016/j.jtrangeo.2025.104117.

  • Chu, X., Tsang, D. and Wong, S.K. (2025) ‘How important are political connections amid policy shocks?—Evidence from Chinese real estate firms’, Real Estate Economics [Preprint]. Available at: https://doi.org/10.1111/1540-6229.70016.

  • Connolly, C. (2025) ‘“Guess I’m Next to be Erased”: street art, heritage and gentrification in George Town, Malaysia’, Urban Geography, 46(10), pp. 2302–2319. Available at: https://doi.org/10.1080/02723638.2025.2524635.

  • Ding, F. et al. (2025) ‘Unraveling the network effects in station ridership growth patterns under metro network expansion’, Journal of Transport Geography, 125. Available at: https://doi.org/10.1016/j.jtrangeo.2025.104205.

  • Doan, Q.C. et al. (2025) ‘Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality’, Landscape and Urban Planning, 253. Available at: https://doi.org/10.1016/j.landurbplan.2024.105204.

  • Doan, Q.C. and Zhang, X. (2025a) ‘A systematic review of urban vitality studies: Trends and research opportunities’, Land Use Policy, 158. Available at: https://doi.org/10.1016/j.landusepol.2025.107745.

  • Doan, Q.C. and Zhang, X. (2025b) ‘The costs of delay: Marginalization and sustainable development challenges around Hanoi’s urban rail projects’, Habitat International, 166. Available at: https://doi.org/10.1016/j.habitatint.2025.103594.

  • Feng, R., Liu, S., et al. (2025) ‘Current and future thermal effects and spatial optimization modelling of urban greenspace in megacity’, Sustainable Cities and Society, 121. Available at: https://doi.org/10.1016/j.scs.2025.106199.

  • Feng, R., Chen, B., et al. (2025) ‘Future inequality of human exposure to greenspace resource and spatial utilization strategy in China’, Resources, Conservation and Recycling, 218. Available at: https://doi.org/10.1016/j.resconrec.2025.108231.

  • Gachanja, J. and Yang, T. (2025) ‘The built environment and multidimensional poverty: exploring accessibility as a mediator of spatial opportunity’, Habitat International, 160. Available at: https://doi.org/10.1016/j.habitatint.2025.103402.

  • Gao, Y. et al. (2025) ‘Humid heat’s nonlinear impact on school-age children’ sleep health: Evidence from Guangdong, China’, Environmental Research, 285. Available at: https://doi.org/10.1016/j.envres.2025.122360.

  • Gerlofs, B.A. and Poon, K.Y.N. (2025a) ‘STATES OF COMPULSION : Reassessing “State‐Led” Neighborhood Change in Hong Kong’, International Journal of Urban and Regional Research, 49(1), pp. 163–181. Available at: https://doi.org/10.1111/1468-2427.13285.

  • Gerlofs, B.A. and Poon, K.Y.N. (2025b) ‘The Aesthetic Survey: A Field Guide to an Integrative Methodology for the Study of Urban Change at the Neighborhood Scale’, The Professional Geographer, 77(4), pp. 402–414. Available at: https://doi.org/10.1080/00330124.2025.2519382.

  • Gerlofs, Ben A. and Zheng, X. (2025) ‘Humour as a Pedagogical Tool: Evidence and Implications for Critical Geography’, Antipode, 57(4), pp. 1493–1514. Available at: https://doi.org/10.1111/anti.70019.

  • Gerlofs, B.A. and Zheng, X. (2025) ‘Humour as a Pedagogical Tool: Evidence and Implications for Critical Geography’, Antipode, 57(4), pp. 1493–1514. Available at: https://doi.org/10.1111/anti.70019.

  • Gureje, O. et al. (2025) ‘The epidemiology of ICD ‐11 bodily distress disorder and DSM ‐5 somatic symptom disorder in new large‐scale population surveys within the World Mental Health Survey Initiative’, World Psychiatry, 24(3), pp. 395–403. Available at: https://doi.org/10.1002/wps.21353.

  • Hao, J. et al. (2025) ‘Evolving interdependencies between two waves of gentrifiers in the wax and wane of a “Utopian Village”: A case study of Cenbu Village, Shanghai’, Geographical Journal, 191(1). Available at: https://doi.org/10.1111/geoj.12613.

  • He, Q. and Colic-Peisker, V. (2025) ‘Homeownership Habitus and Residential Practice of Highly-Skilled Chinese Migrants in the Netherlands’, Housing, Theory and Society, 42(1), pp. 99–116. Available at: https://doi.org/10.1080/14036096.2024.2353052.

  • He, S. (2025) ‘Is an urban perspective enough? Rethinking global infrastructure through infrastructural regionalism’, Dialogues in Human Geography, p. 20438206251396233. Available at: https://doi.org/10.1177/20438206251396233.

  • He, S. et al. (2025) ‘Sustainable urbanization in Asia’, MIT Center for Real Estate Research Paper [Preprint], (25/02). Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5396132 (Accessed: 17 January 2026).

  • He, S., Gong, W. and Qian, J. (2025) ‘Unpacking the multifaceted rurality of Hong Kong’s countryside: A social representation approach’, Journal of Rural Studies, 114. Available at: https://doi.org/10.1016/j.jrurstud.2025.103589.

  • Hong, W. et al. (2025) ‘Empowering China’s sustainable development through social-ecological networks’, npj Urban Sustainability, 5(1). Available at: https://doi.org/10.1038/s42949-025-00236-6.

  • Hu, L. et al. (2025) ‘Equitable education policy or school franchising strategy? Examining the impacts of school-to-school collaboration on the housing market dynamic in urban China’, Applied Geography, 174. Available at: https://doi.org/10.1016/j.apgeog.2024.103481.

  • Hu, L. and He, S. (2025) ‘Are gated communities “safe havens”? Examining housing price dynamics of Chinese gated and non-gated communities during COVID-19 pandemic’, Housing Studies, 40(4), pp. 914–939. Available at: https://doi.org/10.1080/02673037.2024.2313606.

  • Huang, Y. and Chen, B. (2025) Nighttime Light Color Characteristics and Blue Light Exposure in China based on SDGSAT-1 Glimmer Image. Copernicus Meetings. Available at: https://meetingorganizer.copernicus.org/EGU25/EGU25-5560.html (Accessed: 17 January 2026).

  • Jiang, B. et al. (2025) ‘A generalized relationship between dose of greenness and mental health response’, Nature Cities, 2(8), pp. 739–748.

  • Jiang, F. and Ma, J. (2025a) ‘A hybrid framework for regional land valuation using generative intelligence and AutoML techniques’, Landscape and Urban Planning, 259. Available at: https://doi.org/10.1016/j.landurbplan.2025.105365.

  • Jiang, F. and Ma, J. (2025b) ‘Graph-based machine learning for high-resolution assessment of pedestrian-weighted exposure to air pollution’, Resources, Environment and Sustainability, 20. Available at: https://doi.org/10.1016/j.resenv.2025.100219.

  • Jiang, F. and Ma, J. (2025c) ‘Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows’, Smart Cities, 8(2). Available at: https://doi.org/10.3390/smartcities8020058.

  • Lee, A. et al. (2025) ‘The Epidemiology of Eye Cancer, Eyelid Cancer, and Ophthalmic Lymphoma in a Chinese Population in Hong Kong: A Population-Based Registry Study 2005–2018’, Investigative Ophthalmology and Visual Science, 66(3). Available at: https://doi.org/10.1167/iovs.66.3.15.

  • Levin-Keitel, M. et al. (2025) ‘Difficulties for Theorisation Within Planning Research and Practice – An Exploration of Key Dimensions of Planning Theories: Edited by Meike Levin-Keitel and Franziska Sielker’, Planning Theory & Practice, 26(4), pp. 581–611. Available at: https://doi.org/10.1080/14649357.2025.2550830.

  • Li, C. and He, S. (2025a) ‘Changing roles of the state in the development of long-term rental apartments under a transitional housing regime in China’, International Journal of Housing Policy, 25(2), pp. 324–348. Available at: https://doi.org/10.1080/19491247.2023.2284856.

  • Li, C. and He, S. (2025b) ‘Remaking urban periphery through developing long-term rental community: marketisation of collective land under state-led financialisation’, Habitat International, 163. Available at: https://doi.org/10.1016/j.habitatint.2025.103482.

  • Li, J., Browning, M.E., Sullivan, W.C., Liu, X., et al. (2025) ‘Greenness, Deprivation, and Fatal Police Shootings: A Five-Year Nationwide Study in the United States’, Environment and Behavior, 57(1–2), pp. 3–38. Available at: https://doi.org/10.1177/00139165251316106.

  • Li, Y., Yang, Y., Guo, C. and Cai, H. (2025) ‘The association between total volume and intensity of moderate-to-vigorous physical activity and incidence of osteoporosis’, Bone, 195. Available at: https://doi.org/10.1016/j.bone.2025.117461.

  • Li, Z., Chen, B., et al. (2025) ‘Enhanced mapping of essential urban land use categories in China (EULUC-China 2.0): integrating multimodal deep learning with multisource geospatial data’, Science Bulletin, 70(18), pp. 3029–3041. Available at: https://doi.org/10.1016/j.scib.2025.07.006.

  • Li, Z., Ma, J., Wang, Q., et al. (2025) ‘Enhancing urban solar irradiation prediction with shadow-attention graph neural networks: Implications for net-zero energy buildings in New York City’, Sustainable Cities and Society, 120. Available at: https://doi.org/10.1016/j.scs.2025.106133.

  • Li, Z., Wang, H., et al. (2025) ‘Large-Scale High-Resolution Essential Urban Land Cover Category Mapping Using a Semantic-Augmented and Noise-Tolerant Approach’, IEEE Transactions on Geoscience and Remote Sensing, 63. Available at: https://doi.org/10.1109/TGRS.2025.3601626.

  • Li, Z., Ma, J., Qiu, W., et al. (2025) ‘MLGA-GNN: Assessing horizontal and vertical heterogeneity in the photovoltaic potential of urban-scale building facades’, Energy and Buildings, 347. Available at: https://doi.org/10.1016/j.enbuild.2025.116255.

  • Liang, Y., Chen, B. and Chan, C.S. (2025) ‘Green space is associated with lower violent assault rates: A longitudinal remote sensing study’, Landscape and Urban Planning, 253. Available at: https://doi.org/10.1016/j.landurbplan.2024.105200.

  • Liu, J. and Zhu, J. (2025) ‘Contested rent-based urban governance: Land rent dissipation and redistribution under scalar politics in China’, Land Use Policy, 157. Available at: https://doi.org/10.1016/j.landusepol.2025.107692.

  • Liu, Y. and He, S. (2025a) ‘Financialization of China’s urban redevelopment:A case study of Guangzhou City’, Progress in Geography, 44(11), pp. 2250–2262. Available at: https://doi.org/10.18306/dlkxjz.2025.11.003.

  • Liu, Y. and He, S. (2025b) ‘The promise and reality of middle-class homeownership in China: housing assetisation, speculative urban (re)development and residential inequalities’, Urban Geography, 46(5), pp. 1022–1044. Available at: https://doi.org/10.1080/02723638.2024.2397255.

  • Luo, K. et al. (2025) ‘How does greenness contribute to reducing lung cancer risks associated with particulate matter exposure?’, Atmospheric Pollution Research, 16(6). Available at: https://doi.org/10.1016/j.apr.2025.102500.

  • Lyu, D. et al. (2025) ‘Impact of Russia–Ukraine conflict on global crude oil shipping carbon emissions’, Journal of Transport Geography, 128. Available at: https://doi.org/10.1016/j.jtrangeo.2025.104311.

  • Pi, J. et al. (2025) ‘The impacts of airport economic zones on local urban development in China’, Journal of Air Transport Management, 129. Available at: https://doi.org/10.1016/j.jairtraman.2025.102875.

  • Qi, Y., Huang, B. and Webster, C. (2025) ‘Rising Global Elderly Health Inequalities in the Face of Temperature Extremes’, Earth’s Future, 13(7). Available at: https://doi.org/10.1029/2025EF006000.

  • Qian, J., He, S. and Smith, D. (2025) ‘Rural-urban interfaces and changing forms of relational and planetary rurality’, Journal of Rural Studies, 116. Available at: https://doi.org/10.1016/j.jrurstud.2025.103614.

  • Qiang, W.W. et al. (2025) ‘When firms merge, do carbon emissions fall? Insights from China’s manufacturing sector’, Environmental Research Letters, 20(10). Available at: https://doi.org/10.1088/1748-9326/adfce9.

  • Qu, J. et al. (2025) ‘Fine-grained analysis of transport-demographic relationships: County-level responses to multimodal connectivity across metropolitan and peripheral China’, Transportation Research Part A: Policy and Practice, 199. Available at: https://doi.org/10.1016/j.tra.2025.104572.

  • Ren, R., Wong, S.K. and Chau, K.W. (2025) ‘Housing supply elasticity and government-owned land: evidence from Hong Kong’, Journal of Economic Geography, p. lbaf010.

  • Shan, L. and He, S. (2025) ‘The role of peri-urban parks in enhancing urban green spaces accessibility in high-density contexts: An environmental justice perspective’, Landscape and Urban Planning, 254. Available at: https://doi.org/10.1016/j.landurbplan.2024.105244.

  • Shan, L., Yan, X. and He, S. (2025) ‘Towards an infrastructure approach: The interactive relationship between spatial distribution of hospitals and urbanization in Chinese major cities’, Applied Geography, 178. Available at: https://doi.org/10.1016/j.apgeog.2025.103607.

  • Shi, K. et al. (2025) ‘Does perceived proximity to urban facilities still matter to individuals’ daily activities in the information age?’, Journal of Transport Geography, 129. Available at: https://doi.org/10.1016/j.jtrangeo.2025.104432.

  • Tan, X. et al. (2025) ‘The spatiotemporal scaling laws of urban population dynamics’, Nature Communications, 16(1). Available at: https://doi.org/10.1038/s41467-025-58286-4.

  • Terbeck, F., He, S. and Cai, R. (2025a) ‘Neighborhood governance and residents’ satisfaction during the COVID-19 pandemic in urban China: evidence from six major Chinese cities’, Urban Geography, 46(5), pp. 1259–1280. Available at: https://doi.org/10.1080/02723638.2024.2403855.

  • Terbeck, F., He, S. and Cai, R. (2025b) ‘Neighborly help and neighborhood-based social capital during the COVID-19 pandemic in major Chinese cities’, Journal of Housing and the Built Environment, 40(2), pp. 555–575. Available at: https://doi.org/10.1007/s10901-023-10076-4.

  • Tu, Y. et al. (2025) ‘Inequality in infrastructure access and its association with health disparities’, Nature Human Behaviour, 9(8), pp. 1669–1682. Available at: https://doi.org/10.1038/s41562-025-02208-3.

  • Wang, B., He, Q., et al. (2025) ‘The association between suitable compactness of urban expansion and urban green growth’, Landscape and Urban Planning, 260. Available at: https://doi.org/10.1016/j.landurbplan.2025.105378.

  • Wang, C., Wong, S.K. and Zhou, T. (2025) ‘The rise of healthy buildings in the post-COVID-19 pandemic era’, Real Estate Economics [Preprint]. Available at: https://doi.org/10.1111/1540-6229.70022.

  • Wang, H., Chen, B., et al. (2025) ‘China’s railway photovoltaic potential for sustainable urban-rural energy transition’, Environmental Research Letters, 20(10). Available at: https://doi.org/10.1088/1748-9326/adff95.

  • Wang, K. et al. (2025) ‘Variegated forms of planetary ruralisation: A multiscalar contextual analysis of evolving ruralities of China’s Dike-Pond System’, Journal of Rural Studies, 119. Available at: https://doi.org/10.1016/j.jrurstud.2025.103786.

  • Wang, S., Zhang, S., et al. (2025) ‘Spatial-and-local-aware deep learning approach for Ground-Level NO2 estimation in England with multisource data from satellite-based observations and chemical transport models’, International Journal of Applied Earth Observation and Geoinformation, 139. Available at: https://doi.org/10.1016/j.jag.2025.104506.

  • Wang, S., Guo, H., et al. (2025) ‘The impact of COVID-19 lockdowns on ethnic disparities in NO₂ exposure in England: A policy perspective on environmental injustice’, Sustainable Cities and Society, 121. Available at: https://doi.org/10.1016/j.scs.2025.106198.

  • Wang, T., An, J., et al. (2025) ‘In utero exposure to extreme heat increases neonatal mortality’, PNAS Nexus, 4(8). Available at: https://doi.org/10.1093/pnasnexus/pgaf240.

  • Wang, Y. et al. (2025) ‘Longitudinal patterns and predictors of COVID-19 vaccine confidence from pre-vaccine rollout to mass vaccination: A population-based cohort study’, Vaccine, 64. Available at: https://doi.org/10.1016/j.vaccine.2025.127736.

  • Wei, H., Chen, B., Yin, Y., Zhang, T., et al. (2025) ‘Distinct dominant factors of spatially heterogenous urban tree cooling identified in cities across China’, Ecological Indicators, 179. Available at: https://doi.org/10.1016/j.ecolind.2025.114204.

  • Wei, H., Chen, B., Yin, Y., Wu, S., et al. (2025) ‘Vertical contrast of trees and buildings determines urban land surface temperature’, Landscape and Urban Planning, 263. Available at: https://doi.org/10.1016/j.landurbplan.2025.105448.

  • Wong, C.S.M. et al. (2025) ‘Prevalence, persistence, and severity of 12-month and 30-day DSM-5 disorders in the World Mental Health Hong Kong Study’, The Lancet Regional Health - Western Pacific, 65. Available at: https://doi.org/10.1016/j.lanwpc.2025.101757.

  • Wu, S., Chen, B., An, J., et al. (2025) ‘Measuring global human accessibility to essential daily necessities and services’, Nature Communications, 16(1). Available at: https://doi.org/10.1038/s41467-025-65732-w.

  • Wu, S., Chen, B., Song, Y., et al. (2025) ‘Shade watch: Mapping citywide shade dynamics through ray tracing and LiDAR data in Hong Kong’s complex 3-D built environment’, Sustainable Cities and Society, 118. Available at: https://doi.org/10.1016/j.scs.2024.106011.

  • Xu, F. et al. (2025) ‘Large language model applications in disaster management: An interdisciplinary review’, International Journal of Disaster Risk Reduction, 127. Available at: https://doi.org/10.1016/j.ijdrr.2025.105642.

  • Xu, G. et al. (2025) ‘Underlying rules of evolutionary urban systems in Africa’, Nature Cities, pp. 1–9.

  • Xu, W. et al. (2025) ‘Effects of eye-level greenness of urban roads on drivers’ emotion states: A repeated real-world experiment’, Journal of Environmental Psychology, 108. Available at: https://doi.org/10.1016/j.jenvp.2025.102853.

  • Xu, Y. et al. (2025) ‘Spatial eco-socio-economic trade-offs inform differentiated management strategies in mega-urban agglomerations’, npj Urban Sustainability, 5(1). Available at: https://doi.org/10.1038/s42949-025-00231-x.

  • Yang, T. and Zhang, Y. (2025) ‘Urban systems science and cross-scale dynamics: A conceptual framework to advance integrated planning and governance’, Transactions in Planning and Urban Research, 4(1), pp. 3–13. Available at: https://doi.org/10.1177/27541223251325264.

  • Yang, Y. et al. (2025) ‘Thinking beyond general greenness: The nuanced associations between a variety of greenspaces and cardiovascular diseases across urbanicity’, Landscape and Urban Planning, 253. Available at: https://doi.org/10.1016/j.landurbplan.2024.105223.

  • Yi, Y. et al. (2025) ‘Life Course Associations Between Ambient Fine Particulate Matter and the Prevalence of Prediabetes and Diabetes: A Longitudinal Cohort Study in Taiwan and Hong Kong’, Diabetes Care, 48(1), pp. 93–100. Available at: https://doi.org/10.2337/dc24-1041.

  • Yu, X. and Ma, J. (2025) ‘Mapping the distribution of pedestrian exposure to air pollution on urban road segments based on mobile monitoring and street view images’, Applied Geography, 179. Available at: https://doi.org/10.1016/j.apgeog.2025.103644.

  • Yu, X., Ma, J. and Wang, Q. (2025) ‘Unveiling the impacts of 2D and 3D urban morphological indicators on sidewalk air pollution using mobile monitoring and interpretable machine learning’, Sustainable Cities and Society, 133. Available at: https://doi.org/10.1016/j.scs.2025.106885.

  • Yu, Z. et al. (2025) ‘Greening dominates greenspace exposure inequality in Chinese cities’, npj Urban Sustainability, 5(1). Available at: https://doi.org/10.1038/s42949-025-00253-5.

  • Zhang, M., Cheng, A. and Wen, T. (2025) ‘Regional development and uneven financialization of urban infrastructure under state entrepreneurialism in China’, Journal of Economic Geography, p. lbaf058.

  • Zhang, X., Brandt, M., et al. (2025) ‘A strong but uneven increase in urban tree cover in China over the recent decade’, Nature Cities, pp. 1–10.

  • Zhang, X., Chen, B., et al. (2025) ‘Overlooked deforestation from global mining activities in the 21st century’, Nature Communications [Preprint]. Available at: https://www.nature.com/articles/s41467-025-67501-1 (Accessed: 17 January 2026).

  • Zhang, Y., He, Q. and Wang, J. (2025) ‘Understanding multi-scale educational and hukou segregation in urban China: A multilevel modeling approach’, Applied Geography, 174. Available at: https://doi.org/10.1016/j.apgeog.2024.103482.

  • Zhang, Z. and Van Der Wouden, F. (2025) ‘Gender disparities in Chinese patenting activities: females increasingly participate but collaborate less’, Economics of Innovation and New Technology, pp. 1–42. Available at: https://doi.org/10.1080/10438599.2025.2550368.

  • Zhao, L., Shen, S. and Zhao, Z. (2025) ‘Large-scale electric bus network transition planning via deep reinforcement learning’, Transportation Research Part D: Transport and Environment, 146. Available at: https://doi.org/10.1016/j.trd.2025.104899.

  • Zheng, J., Li, X. and Nam, K.-M. (2025) ‘Impacts of local and regional carbon markets in Hong Kong and China’s Greater Bay Area: A dynamic CGE analysis’, Energy Policy, 204. Available at: https://doi.org/10.1016/j.enpol.2025.114651.

  • Zheng, Y. et al. (2025) ‘Neighbourhood greenness might impact thyroid hormone levels in children, adolescents, and young adults’, Health and Place, 95. Available at: https://doi.org/10.1016/j.healthplace.2025.103522.

  • Zhou, Y., Yang, C., et al. (2025) ‘From trajectory to behavior: Capturing individual travel details using an applet-based GPS tracking system’, Travel Behaviour and Society, 41. Available at: https://doi.org/10.1016/j.tbs.2025.101078.

  • Zhou, Y., Yuan, Q., et al. (2025) ‘Residence-Workplace Identification and Validation Based on Mobile Phone Data: A Case Study in a Large-Scale Urban Agglomeration in China’, Transportation Research Record, 2679(2), pp. 1558–1571. Available at: https://doi.org/10.1177/03611981241270163.

  • Zhou, Y. and He, S. (2025) ‘Transmission risks of airborne respiratory infectious disease and their influencing factors in and around urban outdoor recreational spaces’, Environmental Impact Assessment Review, 114. Available at: https://doi.org/10.1016/j.eiar.2025.107919.

  • Zhu, J., Hao, J. and Han, Y. (2025) ‘Emerging paradigm in redressing the imbalanced “state-village” power relationship: How have rural gentrifiers bypassed institutional exclusion to influence rural planning processes?’, Journal of Rural Studies, 114. Available at: https://doi.org/10.1016/j.jrurstud.2025.103564.

  • Zu, J., Cao, Z. and Zhang, X. (2025) ‘Carsharing usage and station-level factors: A tale of ten Chinese cities’, Transportation Research Part D: Transport and Environment, 139. Available at: https://doi.org/10.1016/j.trd.2024.104586.

2024

96 papers published in 2024

  • Chan, V.K.Y. et al. (2024) ‘Impact of COVID-19 pandemic on depression incidence and healthcare service use among patients with depression: an interrupted time-series analysis from a 9-year population-based study’, BMC Medicine, 22(1). Available at: https://doi.org/10.1186/s12916-024-03386-z.

  • Chen, B., Tu, Y., et al. (2024) ‘Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war’, Communications Earth and Environment, 5(1). Available at: https://doi.org/10.1038/s43247-024-01488-3.

  • Chen, B., Wu, S., et al. (2024) ‘Wildfire risk for global wildland–urban interface areas’, Nature Sustainability, 7(4), pp. 474–484. Available at: https://doi.org/10.1038/s41893-024-01291-0.

  • Chen, C., Luo, Z. and Zhu, J. (2024) ‘Rural gentrification, the booming B&B industry and linked migration in China: To what extent can gentrification contribute to rural revitalisation?’, Population, Space and Place, 30(8). Available at: https://doi.org/10.1002/psp.2827.

  • Chen, C., Xiaohu, Z. and Chris, W. (2024) ‘Spatio-temporal impact of land use changes on nitrogen emissions in the Guangdong-Hong Kong-Macao Greater Bay Area’. Zenodo. Available at: https://doi.org/10.5281/zenodo.14166661.

  • Chen, C., Zhang, X. and Webster, C. (2024) ‘Spatially Explicit Impact of Land Use Changes in the Bay Area on Anthropogenic Phosphorus Emissions and Freshwater Eutrophication Potential’, Environmental Science and Technology, 58(42), pp. 18701–18712. Available at: https://doi.org/10.1021/acs.est.4c04337.

  • Connolly, C. (2024) ‘COVID-19 and the density debate’, Nature Cities, 1(1), pp. 18–19. Available at: https://doi.org/10.1038/s44284-023-00012-6.

  • Dai, M. and He, S. (2024) ‘Social mix and subjective wellbeing in Chinese urban neighborhoods: Exploring the domino effects of social capital through multilevel serial mediation analysis’, Habitat International, 143, p. 102968. Available at: https://doi.org/10.1016/j.habitatint.2023.102968.

  • Ding, F., Chen, S. and Zhao, Z. (2024) ‘Incorporating walking into ride-hailing: The potential benefits of flexible pick-up and drop-off’, Transportation Research Part D: Transport and Environment, 127. Available at: https://doi.org/10.1016/j.trd.2024.104064.

  • Doan, Q.C. et al. (2024) ‘How urban air quality affects land values: Exploring non-linear and threshold mechanism using explainable artificial intelligence’, Journal of Cleaner Production, 434, p. 140340. Available at: https://doi.org/10.1016/j.jclepro.2023.140340.

  • Fan, X. et al. (2024) ‘Post-traumatic stress, depression, and anxiety during the 2021 Myanmar conflict: a nationwide population-based survey’, The Lancet Regional Health - Southeast Asia, 26. Available at: https://doi.org/10.1016/j.lansea.2024.100396.

  • Fang, Z. et al. (2024) ‘UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints’, Computers, Environment and Urban Systems, 111. Available at: https://doi.org/10.1016/j.compenvurbsys.2024.102132.

  • Fu, T. et al. (2024) ‘Trajectory Prediction and Risk Assessment in Car-Following Scenarios Using a Noise-Enhanced Generative Adversarial Network’, IEEE Transactions on Intelligent Transportation Systems, 25(12), pp. 20970–20984. Available at: https://doi.org/10.1109/TITS.2024.3454705.

  • Gao, X. et al. (2024) ‘Spatial spillover effects of skilled migration on innovation in China’, Heliyon, 10(11). Available at: https://doi.org/10.1016/j.heliyon.2024.e30849.

  • Gerlofs, B.A. (2024) ‘Land fictions: The commodification of land in city and country’, Planning Theory, p. 14730952241257704. Available at: https://doi.org/10.1177/14730952241257704.

  • Gerlofs, B.A. et al. (2024) ‘Tank to Table: Hong Kong’s Wet Markets and the Geographies of Lively Commodification Beyond Companionship’, Annals of the American Association of Geographers, 114(4), pp. 844–862. Available at: https://doi.org/10.1080/24694452.2024.2304200.

  • Guo, C. et al. (2024) ‘Ambient fine particulate matter and its constituents may exacerbate the acceleration of aging in adults’, Environment International, 192. Available at: https://doi.org/10.1016/j.envint.2024.109019.

  • Hao, J., Zhu, J., He, S., & Lu, J. (2024) Evolving interdependencies between two waves of gentrifiers in the wax and wane of a ‘Utopian Village’: A case study of Cenbu Village, Shanghai. The Geographical Journal. 10.1111/geoj.12613

  • He, Q. and Colic-Peisker, V. (2024) ‘Homeownership Habitus and Residential Practice of Highly-Skilled Chinese Migrants in the Netherlands’, Housing, Theory and Society [Preprint]. Available at: https://doi.org/10.1080/14036096.2024.2353052.

  • He, Q. and He, S. (2024) ‘Disentangling the intersectional field of education and housing in China: Genesis, strategies and discontents’, Environment and Planning A: Economy and Space, p. 0308518X241228453. Available at: https://doi.org/10.1177/0308518X241228453.

  • He, S. (2024) ‘Urban Entrepreneurialism’, in B. Warf (ed.) The Encyclopedia of Human Geography. Cham: Springer International Publishing, pp. 1–6. Available at: https://doi.org/10.1007/978-3-031-25900-5_311-1.

  • He, S. and Cai, R. (2024) ‘Negotiating the exclusive right to public schools in China’s education-featured gated communities under multiscalar and multidirectional urban entrepreneurialism’, Urban Studies, 61(14), pp. 2756–2777. Available at: https://doi.org/10.1177/00420980231204714.

  • He, S., Shan, L. and Zhu, J. (2024) ‘How planning intervention changes the “price tags” of property rights? Towards a dynamic understanding of China’s small property right housing’, Cities, 150. Available at: https://doi.org/10.1016/j.cities.2024.105091.

  • Hu, L. and He, S. (2024a) ‘Are gated communities “safe havens”? Examining housing price dynamics of Chinese gated and non-gated communities during COVID-19 pandemic’, Housing Studies [Preprint]. Available at: https://doi.org/10.1080/02673037.2024.2313606.

  • Hu, L. and He, S. (2024b) ‘Entrance opportunity vs. academic performance: unpacking the nonlinear capitalization effects of multidimensional school qualities on housing sales and rental prices’, Humanities and Social Sciences Communications, 11(1). Available at: https://doi.org/10.1057/s41599-024-03728-5.

  • Hu, Y., Chen, L. and Zhao, Z. (2024) ‘How does street environment affect pedestrian crash risks? A link-level analysis using street view image-based pedestrian exposure measurement’, Accident Analysis and Prevention, 205. Available at: https://doi.org/10.1016/j.aap.2024.107682.

  • Hu, Y., Zhao, M. and Zhao, Z. (2024) ‘Uncovering heterogeneous effects of link-level street environment on e-bike and e-scooter usage’, Transportation Research Part D: Transport and Environment, 136. Available at: https://doi.org/10.1016/j.trd.2024.104477.

  • Huang, G., Zhao, Z. and Yeh, A.G.O. (2024) ‘How shareable is your trip? A path-based analysis of ridesplitting trip shareability’, Computers, Environment and Urban Systems, 110. Available at: https://doi.org/10.1016/j.compenvurbsys.2024.102120.

  • Jiang, F., Ma, J., Webster, C.J., Wang, W., et al. (2024) ‘Automated site planning using CAIN-GAN model’, Automation in Construction, 159. Available at: https://doi.org/10.1016/j.autcon.2024.105286.

  • Jiang, F., Ma, J., Webster, C.J., Chen, W., et al. (2024) ‘Estimating and explaining regional land value distribution using attention-enhanced deep generative models’, Computers in Industry, 159–160. Available at: https://doi.org/10.1016/j.compind.2024.104103.

  • Jiang, X. et al. (2024) ‘Built environment and airbnb spatial distribution in Hong Kong: A case study considering the spatial heterogeneity and multiscale effects’, Applied Geography, 166. Available at: https://doi.org/10.1016/j.apgeog.2024.103262.

  • Jiang, X., Huang, B. and Zhao, Y. (2024) ‘Spatiotemporal Image Fusion With Spectrally Preserved Pre-Prediction: Tackling Complex Land-Cover Changes’, IEEE Transactions on Geoscience and Remote Sensing, 62, pp. 1–14. Available at: https://doi.org/10.1109/TGRS.2024.3412154.

  • Lai, K.Y. et al. (2024) ‘Association between Residential Greenness and Allostatic Load: A Cohort Study’, Environmental Science and Technology, 58(11), pp. 4884–4893. Available at: https://doi.org/10.1021/acs.est.3c04792.

  • Lai, Ka Yan et al. (2024) ‘Nexus between residential air pollution and physiological stress is moderated by greenness’, Nature Cities, 1(3), pp. 225–237. Available at: https://doi.org/10.1038/s44284-024-00036-6.

  • Li, C. and He, S. (2024a) ‘“Renovate to rent” as a spatio-temporal fix under state entrepreneurialism: Urban renewal through long-term rental apartment development in China’, Geoforum, 157. Available at: https://doi.org/10.1016/j.geoforum.2024.104159.

  • Li, C. and He, S. (2024b) ‘Too Privileged to Move? Neighbourhood Perception and Relocation Intention in China’s Gated Communities’, Tijdschrift voor Economische en Sociale Geografie [Preprint]. Available at: https://doi.org/10.1111/tesg.12616.

  • Li, C., Zhu, J. and He, S. (2024) ‘Regulating in-between (in)formality: institutionalising the private rental market in China’s urban villages’, Housing Studies, pp. 1–23. Available at: https://doi.org/10.1080/02673037.2024.2406264.

  • Li, X. et al. (2024) ‘Enhancing Urban Climate-Energy Modeling in the Community Earth System Model (CESM) Through Explicit Representation of Urban Air-Conditioning Adoption’, Journal of Advances in Modeling Earth Systems, 16(4). Available at: https://doi.org/10.1029/2023MS004107.

  • Li, Z., Ma, J., et al. (2024) ‘Assessing the impacts of urban morphological factors on urban building energy modeling based on spatial proximity analysis and explainable machine learning’, Journal of Building Engineering, 85. Available at: https://doi.org/10.1016/j.jobe.2024.108675.

  • Li, Z., Chen, B., et al. (2024) ‘Deep learning for urban land use category classification: A review and experimental assessment’, Remote Sensing of Environment, 311. Available at: https://doi.org/10.1016/j.rse.2024.114290.

  • Li, Z., Ma, J. and Jiang, F. (2024) ‘Exploring the effects of 2D/3D building factors on urban energy consumption using explainable machine learning’, Journal of Building Engineering, 97. Available at: https://doi.org/10.1016/j.jobe.2024.110827.

  • Liang, Y., Liu, Y., et al. (2024) ‘Exploring large language models for human mobility prediction under public events’, Computers, Environment and Urban Systems, 112. Available at: https://doi.org/10.1016/j.compenvurbsys.2024.102153.

  • Liang, Y., Zhao, Z., et al. (2024) ‘Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network’, Information Fusion, 106. Available at: https://doi.org/10.1016/j.inffus.2024.102294.

  • Liang, Y., Zhao, Z. and Webster, C. (2024) ‘Generating sparse origin–destination flows on shared mobility networks using probabilistic graph neural networks’, Sustainable Cities and Society, 114. Available at: https://doi.org/10.1016/j.scs.2024.105777.

  • Liao, Q. et al. (2024) ‘Motivators and Demotivators for COVID-19 Vaccination Based on Co-Occurrence Networks of Verbal Reasons for Vaccination Acceptance and Resistance: Repetitive Cross-Sectional Surveys and Network Analysis’, JMIR Public Health and Surveillance, 10. Available at: https://doi.org/10.2196/50958.

  • Ling, C. et al. (2024) ‘Unravelling heterogeneity and dynamics of commuting efficiency: Industry-level insights into evolving efficiency gaps based on a disaggregated excess-commuting framework’, Journal of Transport Geography, 115. Available at: https://doi.org/10.1016/j.jtrangeo.2024.103820.

  • Liu, Y. and He, S. (2024a) ‘From the Pearl River Delta to the Greater Bay Area: State spatial selectivity, contingent socio-spatial processes, and variegated geographies of China’s city-regionalism’, Transactions in Planning and Urban Research, 3(3), pp. 216–240. Available at: https://doi.org/10.1177/27541223241270374.

  • Liu, Y. and He, S. (2024b) ‘The promise and reality of middle-class homeownership in China: housing assetisation, speculative urban (re)development and residential inequalities’, Urban Geography, pp. 1–23. Available at: https://doi.org/10.1080/02723638.2024.2397255.

  • Lu, H. et al. (2024) ‘A dose of nature to reduce sexual crimes in public outdoor spaces: Proposing the Landscape-Sexual Crime Model’, Landscape and Urban Planning, 250. Available at: https://doi.org/10.1016/j.landurbplan.2024.105143.

  • Mu, X. et al. (2024) ‘Evaluating the representativeness of mobile big data: A comparative analysis between China’s mobile big data and census data at the county level’, Applied Geography, 166, p. 103260. Available at: https://doi.org/10.1016/j.apgeog.2024.103260.

  • Ni, Y. et al. (2024) ‘Understanding paediatric COVID-19 vaccination during the pandemic: a prospective cohort and a population-based registry study’, The Lancet Regional Health - Western Pacific, 43, p. 100976. Available at: https://doi.org/10.1016/j.lanwpc.2023.100976.

  • Ou, Y., Li, X. and Nam, K.-M. (2024) ‘Rail transit disruptions, traffic generations, and adaptations: Quasi-experimental evidence from Hong Kong’, Transportation Research Part D: Transport and Environment, 135. Available at: https://doi.org/10.1016/j.trd.2024.104381.

  • Ou, Y., Song, W. and Nam, K.-M. (2024) ‘Metro-line expansions and local air quality in Shenzhen: Focusing on network effects’, Transportation Research Part D: Transport and Environment, 126, p. 103991. Available at: https://doi.org/10.1016/j.trd.2023.103991.

  • Qiang, W.W. et al. (2024) ‘Does a more compact urban center layout matter in reducing household carbon emissions? Evidence from Chinese cities’, Land Use Policy, 146. Available at: https://doi.org/10.1016/j.landusepol.2024.107320.

  • Qiao, R. et al. (2024) ‘The nonlinear influence of land conveyance on urban carbon emissions: An interpretable ensemble learning-based approach’, Land Use Policy, 140. Available at: https://doi.org/10.1016/j.landusepol.2024.107117.

  • Shan, L., Fan, Z. and He, S. (2024) ‘Towards a better understanding of capitalization of urban greening: Examining the interactive relationship between public and club green space accessibility’, Urban Forestry and Urban Greening, 96. Available at: https://doi.org/10.1016/j.ufug.2024.128359.

  • Su, S. et al. (2024) ‘Rethinking the theoretical genesis, research paradigm and research agenda of Geo-computational Social Sciences’, Acta Geographica Sinica [Preprint]. Available at: https://research.polyu.edu.hk/en/publications/%E7%A4%BE%E4%BC%9A%E5%9C%B0%E7%90%86%E8%AE%A1%E7%AE%97%E7%9A%84%E7%90%86%E8%AE%BA%E9%80%BB%E8%BE%91%E4%B8%8E%E7%A0%94%E7%A9%B6%E8%8C%83%E5%BC%8F%E5%8F%8A%E5%B1%95%E6%9C%9B (Accessed: 14 January 2025).

  • Sun, Y., Ling, J. and He, S. (2024) ‘Actually existing state entrepreneurialism: From conceptualization to materialization’, Progress in Human Geography, 48(2), pp. 131–150. Available at: https://doi.org/10.1177/03091325231219700.

  • Tay, E.H. et al. (2024) ‘Adherence to COVID-19 measures and the associated factors: evidence from a two-wave longitudinal study in Singapore’, BMC Public Health, 24(1). Available at: https://doi.org/10.1186/s12889-024-20256-8.

  • Terbeck, F., He, S. and Cai, R. (2024) ‘Neighborhood governance and residents’ satisfaction during the COVID-19 pandemic in urban China: evidence from six major Chinese cities’, Urban Geography, pp. 1–22. Available at: https://doi.org/10.1080/02723638.2024.2403855.

  • Tian, L. et al. (2024) ‘Examining the non-linear relationship between urban form and air temperature at street level: A case of Hong Kong’, Building and Environment, 264. Available at: https://doi.org/10.1016/j.buildenv.2024.111884.

  • Tian, T. et al. (2024) ‘Mapping the Time-Series of Essential Urban Land Use Categories in China: A Multi-Source Data Integration Approach’, Remote Sensing, 16(17), p. 3125.

  • Tu, Y. et al. (2024) ‘A 30 m annual cropland dataset of China from 1986 to 2021’, Earth System Science Data, 16(5), pp. 2297–2316. Available at: https://doi.org/10.5194/essd-16-2297-2024.

  • Wang, Q. et al. (2024) ‘Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis?’, Transportation Research Part B: Methodological, 179, p. 102869. Available at: https://doi.org/10.1016/j.trb.2023.102869.

  • Wang, X. et al. (2024) ‘Municipal and Urban Renewal Development Index System: A Data-Driven Digital Analysis Framework’, Remote Sensing, 16(3). Available at: https://doi.org/10.3390/rs16030456.

  • Webster, Chris (2024) ‘Coupling planning models with models of spontaneous order’, Environment and Planning B: Urban Analytics and City Science, 51(5), pp. 1051–1054. Available at: https://doi.org/10.1177/23998083241246594.

  • Webster, C. (2024) ‘Tiebout, Coase and urban scaling’, Annals of Regional Science [Preprint]. Available at: https://doi.org/10.1007/s00168-024-01272-3.

  • Wei, H., Chen, Y., et al. (2024) ‘Built environments, communities, and housing price: A data-model integration approach’, Applied Geography, 166. Available at: https://doi.org/10.1016/j.apgeog.2024.103270.

  • Wei, H., Chen, B., et al. (2024) ‘Moderating AC Usage Can Reduce Thermal Disparity between Indoor and Outdoor Environments’, Environmental Science and Technology, 58(24), pp. 10524–10535. Available at: https://doi.org/10.1021/acs.est.4c00424.

  • Wei, S. et al. (2024) ‘Coastal urbanization may indirectly positively impact growth of mangrove forests’, Communications Earth and Environment, 5(1). Available at: https://doi.org/10.1038/s43247-024-01776-y.

  • Wong, I.O.L. et al. (2024) ‘Assessment of the impact of the vaccine pass policy on COVID-19 vaccine hesitancy and uptake among Chinese adults in Hong Kong’, Vaccine, 42(14), pp. 3346–3354. Available at: https://doi.org/10.1016/j.vaccine.2024.04.035.

  • Wu, S., Song, Y., et al. (2024) ‘High-resolution greenspace dynamic data cube from Sentinel-2 satellites over 1028 global major cities’, Scientific Data, 11(1). Available at: https://doi.org/10.1038/s41597-024-03746-7.

  • Wu, S., Lin, X., et al. (2024) ‘Satellite observations reveal a decreasing albedo trend of global cities over the past 35 years’, Remote Sensing of Environment, 303. Available at: https://doi.org/10.1016/j.rse.2024.114003.

  • Wu, Shengbiao et al. (2024) ‘The interplay of cloud cover and 3D urban structures reduces human access to sunlight’, Nature Cities, pp. 1–9. Available at: https://doi.org/10.1038/s44284-024-00120-x.

  • Xia, H. et al. (2024) ‘Enhancing phenology modeling through the integration of artificial light at night effects’, Remote Sensing of Environment, 303. Available at: https://doi.org/10.1016/j.rse.2024.113997.

  • Xu, W. et al. (2024) ‘Greener view, safer drive: Using repeated field experiments and deep transfer learning technique to investigate impacts of urban road landscapes on driving performance’, Landscape and Urban Planning, 251. Available at: https://doi.org/10.1016/j.landurbplan.2024.105156.

  • Xu, Wenyan et al. (2024) ‘Racial disparities in environmental exposures and SARS-CoV-2 infection rates: A detailed population-weighted analysis’, Sustainable Cities and Society, 101, p. 105135. Available at: https://doi.org/10.1016/j.scs.2023.105135.

  • Xu, W., He, J. and Jiang, B. (2024) ‘Not just More, but more diverse: Green landscapes along urban roads may significantly reduce drivers’ psychophysiological fatigue’, Transportation Research Part F: Traffic Psychology and Behaviour, 103, pp. 273–289. Available at: https://doi.org/10.1016/j.trf.2024.04.009.

  • Xue, H. et al. (2024) ‘Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety’, Accident Analysis and Prevention, 200. Available at: https://doi.org/10.1016/j.aap.2024.107544.

  • Yan, X. et al. (2024) ‘Governing cross-border healthcare in mainland China: a scoping review of national policies from 2002 to 2022’, The Lancet Regional Health - Western Pacific, 45. Available at: https://doi.org/10.1016/j.lanwpc.2024.101046.

  • Yan, X. and He, S. (2024) ‘Demystifying hospital size distribution: A geographical approach’, Applied Geography, 163, p. 103185. Available at: https://doi.org/10.1016/j.apgeog.2023.103185.

  • Yu, X. et al. (2024) ‘Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning’, Accident Analysis and Prevention, 197. Available at: https://doi.org/10.1016/j.aap.2023.107455.

  • Yuan, J. et al. (2024) ‘Dynamic predictors of COVID-19 vaccination uptake and their interconnections over two years in Hong Kong’, Nature Communications, 15(1). Available at: https://doi.org/10.1038/s41467-023-44650-9.

  • Zhang, L. et al. (2024) ‘A Prolonged Artificial Nighttime-light Dataset of China (1984-2020)’, Scientific Data, 11(1). Available at: https://doi.org/10.1038/s41597-024-03223-1.

  • Zhang, P. et al. (2024) ‘Accessible Jobs and Secured Jobs by Mode of Travel and Isochrone: An Exploratory Study of Shanghai, China’, Transportation Research Record [Preprint]. Available at: https://doi.org/10.1177/03611981241246774.

  • Zhao, L., Shen, S. and Zhao, Z. (2024) ‘Planning decentralized battery-swapping recharging facilities for e-bike sharing systems’, Sustainable Cities and Society, 101, p. 105118. Available at: https://doi.org/10.1016/j.scs.2023.105118.

  • Zhao, M. et al. (2024) ‘Unraveling influencing factors of public charging station utilization’, Transportation Research Part D: Transport and Environment, 137. Available at: https://doi.org/10.1016/j.trd.2024.104506.

  • Zhao, N. et al. (2024) ‘Conflict-mediation, consensus-building, and co-production: Three models of co-governance in China’s neighborhood regeneration’, Transactions in Planning and Urban Research, 3(4), pp. 401–419. Available at: https://doi.org/10.1177/27541223241293407.

  • Zhou, M. and Zhou, J. (2024) ‘Multiscalar trip resilience and metro station-area characteristics: A case study of Hong Kong amid the pandemic’, Journal of Transport Geography, 116. Available at: https://doi.org/10.1016/j.jtrangeo.2024.103851.

  • Zhou, Y. et al. (2024) ‘Impacts of social deprivation on mortality and protective effects of greenness exposure in Hong Kong, 1999–2018: A spatiotemporal perspective’, Health and Place, 87. Available at: https://doi.org/10.1016/j.healthplace.2024.103241.

  • Zhou, Yang et al. (2024) ‘Residence-Workplace Identification and Validation Based on Mobile Phone Data: A Case Study in a Large-Scale Urban Agglomeration in China’, Transportation Research Record: Journal of the Transportation Research Board, p. 03611981241270163. Available at: https://doi.org/10.1177/03611981241270163.

  • Zhu, J. et al. (2024) ‘COVID-19 and aggravated housing precarity for international students: an Australian case study’, International Journal of Housing Policy, 24(2), pp. 344–371. Available at: https://doi.org/10.1080/19491247.2024.2339441.

  • Zhu, J. and Pawson, H. (2024) ‘COVID-19 as a disruption to China’s “tenure neutrality” initiative? State-accentuated tenure inequality and rental sector precarity during the pandemic’, Housing Studies, pp. 1–23. Available at: https://doi.org/10.1080/02673037.2024.2428742.

  • Zu, J. et al. (2024) ‘Carsharing in China: Impact of system and urban factors on usage and efficiency’, Journal of Transport Geography, 117. Available at: https://doi.org/10.1016/j.jtrangeo.2024.103897.

  • 胡莉蓉，何深静 & 苏世亮 (2024) 深圳市公共住房居民就医可达性——基于互联网地图服务和改进两步移动搜索法. 热带地理, 44(2), pp. 226–235.

  • 刘嘉瑶，朱金 & 何深静. (2024) 香港“临时”保障性住房的发展与启示——基于临时城市主义的视角. 上海城市规划, (5), 35-41.

2023

41 papers published in 2023

  • Cantwell, G.T., Kirkley, A. and Radicchi, F. (2023) ‘Heterogeneous message passing for heterogeneous networks’, Physical Review E, 108(3), p. 034310. Available at: https://doi.org/10.1103/PhysRevE.108.034310.

  • Chen, B. (2023) ‘Coincided disparity between housing price and health outcome’, The Lancet Regional Health - Europe, 27, p. 100593. Available at: https://doi.org/10.1016/j.lanepe.2023.100593.

  • Chen, R., Zhang, M. and Zhou, J. (2023) ‘Jobs-housing relationships before and amid COVID-19: An excess-commuting approach’, Journal of Transport Geography, 106, p. 103507. Available at: https://doi.org/10.1016/j.jtrangeo.2022.103507.

  • Feng, L. et al. (2023) ‘Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China’, Remote Sensing of Environment, 297, p. 113775. Available at: https://doi.org/10.1016/j.rse.2023.113775.

  • Guo, M., Ni, M.Y., et al. (2023) ‘Automated simulation for household road traffic noise exposure: Application and field evaluation in a high-density city’, Computers, Environment and Urban Systems, 104, p. 102000. Available at: https://doi.org/10.1016/j.compenvurbsys.2023.102000.

  • Guo, M., Lin, Y., et al. (2023) ‘Characterizing environmental pollution with civil complaints and social media data: A case of the Greater Taipei Area’, Journal of Environmental Management, 348, p. 119310. Available at: https://doi.org/10.1016/j.jenvman.2023.119310.

  • Hao, T. et al. (2023) ‘Heat and park attendance: Evidence from “small data” and “big data” in Hong Kong’, Building and Environment, 234, p. 110123. Available at: https://doi.org/10.1016/j.buildenv.2023.110123.

  • He, S. and Qian, J. (2023) ‘Police and Politics in Aesthetics‐Based Urban Governance: Redevelopment and Grassroots Struggles in Enninglu, Guangzhou, China’, Antipode, 55(3), pp. 853–876. Available at: https://doi.org/10.1111/anti.12919.

  • He, W. et al. (2023) ‘Global urban fractional changes at a 1 km resolution throughout 2100 under eight scenarios of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs)’, Earth System Science Data, 15(8), pp. 3623–3639. Available at: https://doi.org/10.5194/essd-15-3623-2023.

  • Hu, J. et al. (2023) ‘Multi-city assessments of human exposure to extreme heat during heat waves in the United States’, Remote Sensing of Environment, 295, p. 113700. Available at: https://doi.org/10.1016/j.rse.2023.113700.

  • Huang, G. et al. (2023) ‘To share or not to share? Revealing determinants of individuals’ willingness to share rides through a big data approach’, Transportation Research Part C: Emerging Technologies, 157, p. 104372. Available at: https://doi.org/10.1016/j.trc.2023.104372.

  • Huang, G., Liang, Y. and Zhao, Z. (2023) ‘Understanding market competition between transportation network companies using big data’, Transportation Research Part A: Policy and Practice, 178, p. 103861. Available at: https://doi.org/10.1016/j.tra.2023.103861.

  • Kirkley, A. et al. (2023) ‘Compressing network populations with modal networks reveal structural diversity’, Communications Physics, 6(1), p. 148. Available at: https://doi.org/10.1038/s42005-023-01270-5.

  • Lai, K.Y. et al. (2023) ‘Associations of Urban Built Environment with Cardiovascular Risks and Mortality: a Systematic Review’, Journal of Urban Health, 100(4), pp. 745–787. Available at: https://doi.org/10.1007/s11524-023-00764-5.

  • Li, C. and He, S. (2023) ‘“Carrot and stick” approach to housing demolition and relocation under flexible authoritarianism in urban China’, Humanities and Social Sciences Communications, 10(1), p. 296. Available at: https://doi.org/10.1057/s41599-023-01807-7.

  • Li, C., Zhu, J. and He, S. (2023) ‘Panacea or Pandora’s Box? An institutional analysis of the contested long-term rental apartments development in China’, Habitat International, 131. Available at: https://doi.org/10.1016/j.habitatint.2022.102715.

  • Liang, Y. et al. (2023) ‘Deep trip generation with graph neural networks for bike sharing system expansion’, Transportation Research Part C: Emerging Technologies, 154, p. 104241. Available at: https://doi.org/10.1016/j.trc.2023.104241.

  • Lun, P. et al. (2023) ‘COVID-19 Vaccination Willingness and Reasons for Vaccine Refusal’, JAMA Network Open, 6(10), p. e2337909. Available at: https://doi.org/10.1001/jamanetworkopen.2023.37909.

  • Luo, W., Zhou, Y., et al. (2023) ‘Cross-regional analysis of the association between human mobility and COVID-19 infection in Southeast Asia during the transitional period of “living with COVID-19”’, Health & Place, 81, p. 103000. Available at: https://doi.org/10.1016/j.healthplace.2023.103000.

  • Luo, W., Liu, Q., et al. (2023) ‘Spatiotemporal variations of “triple-demic” outbreaks of respiratory infections in the United States in the post-COVID-19 era’, BMC Public Health, 23(1), p. 2452. Available at: https://doi.org/10.1186/s12889-023-17406-9.

  • Peixoto, T.P. and Kirkley, A. (2023) ‘Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection’, Physical Review E, 108(2), p. 024309. Available at: https://doi.org/10.1103/PhysRevE.108.024309.

  • Poudyal, B., Ghoshal, G. and Kirkley, A. (2023) ‘Characterizing network circuity among heterogeneous urban amenities’, Journal of The Royal Society Interface, 20(208), p. 20230296. Available at: https://doi.org/10.1098/rsif.2023.0296.

  • Shan, L. and He, S. (2023) ‘Intensified discrimination against tenants and its health effects during the COVID-19 pandemic in large Chinese cities’, Scientific Reports, 13(1), p. 22316. Available at: https://doi.org/10.1038/s41598-023-48935-3.

  • Shan, L., He, S. and Wan, C. (2023) ‘Unraveling the dynamic Airbnb-gentrification interrelation before and after the COVID-19 Pandemic: Evidence from Beijing, China’, Cities, 137, p. 104270. Available at: https://doi.org/10.1016/j.cities.2023.104270.

  • Shi, J. et al. (2023) ‘Contributions of residential traffic noise to depression and mental wellbeing in Hong Kong: A prospective cohort study’, Environmental Pollution, 338, p. 122641. Available at: https://doi.org/10.1016/j.envpol.2023.122641.

  • Stenseth, N.Chr. et al. (2023) ‘How to avoid a local epidemic becoming a global pandemic’, Proceedings of the National Academy of Sciences, 120(10), p. e2220080120. Available at: https://doi.org/10.1073/pnas.2220080120.

  • Tu, Y., Wu, S., et al. (2023) ‘A 30 m annual cropland dataset of China from 1986 to 2021’. ESSD – Land/Land Cover and Land Use. Available at: https://doi.org/10.5194/essd-2023-190.

  • Tu, Y., Chen, B., Yang, J., et al. (2023) ‘Olympic effects on reshaping urban greenspace of host cities’, Landscape and Urban Planning, 230, p. 104615. Available at: https://doi.org/10.1016/j.landurbplan.2022.104615.

  • Tu, Y., Chen, B., Yu, L., et al. (2023) ‘Raveling the nexus between urban expansion and cropland loss in China’, Landscape Ecology, 38(7), pp. 1869–1884. Available at: https://doi.org/10.1007/s10980-023-01653-7.

  • Wei, H. et al. (2023) ‘Impact of early heat anomalies on urban tree cooling efficiency: Evidence from spring heatwave events in India’, International Journal of Applied Earth Observation and Geoinformation, 120, p. 103334. Available at: https://doi.org/10.1016/j.jag.2023.103334.

  • Wu, S., Chen, B., et al. (2023) ‘Improved human greenspace exposure equality during 21st century urbanization’, Nature Communications, 14(1), p. 6460. Available at: https://doi.org/10.1038/s41467-023-41620-z.

  • Wu, S., Yu, W., et al. (2023) ‘Remote sensing of urban greenspace exposure and equality: Scaling effects from greenspace and population mapping’, Urban Forestry & Urban Greening, 90, p. 128136. Available at: https://doi.org/10.1016/j.ufug.2023.128136.

  • Wu, S., Yu, W. and Chen, B. (2023) ‘Observed inequality in thermal comfort exposure and its multifaceted associations with greenspace in United States cities’, Landscape and Urban Planning, 233, p. 104701. Available at: https://doi.org/10.1016/j.landurbplan.2023.104701.

  • Xu, G. et al. (2023) ‘Settlement scaling law reveals population-land tensions in 7000+ African urban agglomerations’, Habitat International, 142, p. 102954. Available at: https://doi.org/10.1016/j.habitatint.2023.102954.

  • Xu, W. et al. (2023) ‘Racial disparities, environmental exposures, and SARS-CoV-2 infection rates: A racial map study in the USA’. Epidemiology. Available at: https://doi.org/10.1101/2023.04.17.23288622.

  • Yan, X. and He, S. (2023) ‘Healthcare in cumulatively caused migration: Hong Kong residents’ perceived Mainland healthcare quality and migration intentions in the Greater Bay Area, China’, Habitat International, 136. Available at: https://doi.org/10.1016/j.habitatint.2023.102828.

  • Yang, Y. and Jiang, B. (2023) ‘Green spaces in highly urbanized tracts tied to lower prevalence of chronic respiratory diseases: A nationwide study across levels of urbanicity’, Urban Forestry & Urban Greening, 90, p. 128149. Available at: https://doi.org/10.1016/j.ufug.2023.128149.

  • Zhang, R. et al. (2023) ‘Association of climatic variables with risk of transmission of influenza in Guangzhou, China, 2005–2021’, International Journal of Hygiene and Environmental Health, 252, p. 114217. Available at: https://doi.org/10.1016/j.ijheh.2023.114217.

  • Zhou, M., Zhou, Jiali, et al. (2023) ‘Introducing social contacts into the node-place model: A case study of Hong Kong’, Journal of Transport Geography, 107, p. 103532. Available at: https://doi.org/10.1016/j.jtrangeo.2023.103532.

  • Zhou, M., Ma, H., et al. (2023) ‘Metro travel and perceived COVID-19 infection risks: A case study of Hong Kong’, Cities, 137, p. 104307. Available at: https://doi.org/10.1016/j.cities.2023.104307.

  • Zhou, M. and Zhou, J. (2023) ‘Structural change and spatial pattern of intentional travel groups: A case study of metro riders in Hong Kong’, Applied Geography, 152, p. 102885. Available at: https://doi.org/10.1016/j.apgeog.2023.102885.

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2022

13 papers published in 2022 (after the establishment of USI in December 2022)

  • Cai, R. and He, S. (2022) ‘Enacting urban entrepreneurialism through neighbourhood governance: A comparative study of Shanghai and Guangzhou, China’, Journal of Urban Affairs, pp. 1–16. Available at: https://doi.org/10.1080/07352166.2022.2082299.

  • Chen, B. et al. (2022) ‘Contrasting inequality in human exposure to greenspace between cities of Global North and Global South’, Nature Communications, 13(1), p. 4636. Available at: https://doi.org/10.1038/s41467-022-32258-4.

  • Chen, B. and Webster, C. (2022) ‘Eight Reflections on Quantitative Studies of Urban Green Space: A Mapping-Monitoring-Modeling-Management (4M) Perspective’, Landscape Architecture Frontiers, 10(3), p. 66. Available at: https://doi.org/10.15302/J-LAF-1-030035.

  • He, S. and Zhang, Y. (2022) ‘Reconceptualising the rural through planetary thinking: A field experiment of sustainable approaches to rural revitalisation in China’, Journal of Rural Studies, 96, pp. 42–52. Available at: https://doi.org/10.1016/j.jrurstud.2022.10.008.

  • Huang, J., Jones, P. and He, X. (2022) ‘Masks, ventilation and exposure time: A web-based calculator of indoor COVID-19 infection risk’, Frontiers in Built Environment, 8, p. 986923. Available at: https://doi.org/10.3389/fbuil.2022.986923.

  • Jiang, B. et al. (2022) ‘Green spaces, especially nearby forest, may reduce the SARS-CoV-2 infection rate: A nationwide study in the United States’, Landscape and Urban Planning, 228, p. 104583. Available at: https://doi.org/10.1016/j.landurbplan.2022.104583.

  • Kirkley, A. (2022) ‘Spatial regionalization based on optimal information compression’, Communications Physics, 5(1), p. 249. Available at: https://doi.org/10.1038/s42005-022-01029-4.

  • Lin, X. et al. (2022) ‘Estimating 10-m land surface albedo from Sentinel-2 satellite observations using a direct estimation approach with Google Earth Engine’, ISPRS Journal of Photogrammetry and Remote Sensing, 194, pp. 1–20. Available at: https://doi.org/10.1016/j.isprsjprs.2022.09.016.

  • Mimar, S. et al. (2022) ‘Connecting intercity mobility with urban welfare’, PNAS Nexus. Edited by T. Jaworski, 1(4), p. pgac178. Available at: https://doi.org/10.1093/pnasnexus/pgac178.

  • Pi, X. et al. (2022) ‘Mapping global lake dynamics reveals the emerging roles of small lakes’, Nature Communications, 13(1), p. 5777. Available at: https://doi.org/10.1038/s41467-022-33239-3.

  • Sun, Y. et al. (2022) ‘The impact of place attachment on well-being for older people in high-density urban environment: a qualitative study’, Journal of Aging & Social Policy, pp. 1–21. Available at: https://doi.org/10.1080/08959420.2022.2111168.

  • Wang, X. et al. (2022) ‘Grid-Based Essential Urban Land Use Classification: A Data and Model Driven Mapping Framework in Xiamen City’, Remote Sensing, 14(23), p. 6143. Available at: https://doi.org/10.3390/rs14236143.

  • Zhou, Y. et al. (2022) ‘Satellite mapping of urban built-up heights reveals extreme infrastructure gaps and inequalities in the Global South’, Proceedings of the National Academy of Sciences, 119(46), p. e2214813119. Available at: https://doi.org/10.1073/pnas.2214813119.

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