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Abstract Architecture
Black and White Architecture

Publications

142

papers have been published since the establishment of the USI in December 2022
2025

4 papers published from 1 Jan 2025 to 3 Jan 2025

  • Doan, Q. C., Ma, J., Chen, S., & Zhang, X. (2025). Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality. Landscape and Urban Planning, 253. Scopus. https://doi.org/10.1016/j.landurbplan.2024.105204

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

  • Shan, L., & 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. Scopus. https://doi.org/10.1016/j.landurbplan.2024.105244

  • Yang, Y., Jiang, B., Wang, L., Zhou, Y., Li, B., & Gong, P. (2025). Thinking beyond general greenness: The nuanced associations between a variety of greenspaces and cardiovascular diseases across urbanicity. Landscape and Urban Planning, 253. Scopus. https://doi.org/10.1016/j.landurbplan.2024.105223​

2024

86 papers published in 2024

  • Chan, V. K. Y., Chai, Y., Chan, S. S. M., Luo, H., Jit, M., Knapp, M., Bishai, D. M., Ni, M. Y., Wong, I. C. K., & Li, X. (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). Scopus. https://doi.org/10.1186/s12916-024-03386-z

  • Chen, B., Tu, Y., An, J., Wu, S., Lin, C., & Gong, P. (2024). Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war. Communications Earth and Environment, 5(1). Scopus. https://doi.org/10.1038/s43247-024-01488-3

  • Chen, B., Wu, S., Jin, Y., Song, Y., Wu, C., Venevsky, S., Xu, B., Webster, C., & Gong, P. (2024). Wildfire risk for global wildland–urban interface areas. Nature Sustainability, 7(4), 474–484. Scopus. https://doi.org/10.1038/s41893-024-01291-0

  • Chen, C., Luo, Z., & 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). Scopus. https://doi.org/10.1002/psp.2827

  • Chen, C., Zhang, X., & 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), 18701–18712. Scopus. https://doi.org/10.1021/acs.est.4c04337

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

  • Dai, M., & 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, 102968. https://doi.org/10.1016/j.habitatint.2023.102968

  • Ding, F., Chen, S., & 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. Scopus. https://doi.org/10.1016/j.trd.2024.104064

  • Doan, Q. C., Chen, C., He, S., & Zhang, X. (2024). How urban air quality affects land values: Exploring non-linear and threshold mechanism using explainable artificial intelligence. Journal of Cleaner Production, 434, 140340. https://doi.org/10.1016/j.jclepro.2023.140340

  • Fan, X., Ning, K., Ma, T. S., Aung, Y., Tun, H. M., Thin Zaw, P. P., Flores, F. P., Chow, M. S., Leung, C. M., Lun, P., Chang, W. C., Leung, G. M., & Ni, M. Y. (2024). Post-traumatic stress, depression, and anxiety during the 2021 Myanmar conflict: A nationwide population-based survey. The Lancet Regional Health - Southeast Asia, 26. Scopus. https://doi.org/10.1016/j.lansea.2024.100396

  • Fang, Z., Jin, Y., Zheng, S., Zhao, L., & Yang, T. (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. Scopus. https://doi.org/10.1016/j.compenvurbsys.2024.102132

  • Fu, T., Li, X., Wang, J., Zhang, L., Gong, H., Zhao, Z., & Sobhani, A. (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), 20970–20984. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2024.3454705

  • Gao, X., Zhu, J., Zhu, H., & Zhang, X. (2024). Spatial spillover effects of skilled migration on innovation in China. Heliyon, 10(11). Scopus. 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, 14730952241257704. https://doi.org/10.1177/14730952241257704

  • Gerlofs, B. A., Iaquinto, B. L., Poon, K. Y. N., & Tsang, C. T. Y. (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), 844–862. https://doi.org/10.1080/24694452.2024.2304200

  • Guo, C., Yang, J., Ma, J., Chen, J., Chen, S., Zheng, Y., Huang, B., Yu, J., Li, T., & He, S. (2024). Ambient fine particulate matter and its constituents may exacerbate the acceleration of aging in adults. Environment International, 192. Scopus. https://doi.org/10.1016/j.envint.2024.109019

  • He, Q., & Colic-Peisker, V. (2024). Homeownership Habitus and Residential Practice of Highly-Skilled Chinese Migrants in the Netherlands. Housing, Theory and Society. Scopus. https://doi.org/10.1080/14036096.2024.2353052

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

  • He, S., Shan, L., & 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. Scopus. https://doi.org/10.1016/j.cities.2024.105091

  • Hu, L., & 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. Scopus. https://doi.org/10.1080/02673037.2024.2313606

  • Hu, L., & 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). Scopus. https://doi.org/10.1057/s41599-024-03728-5

  • Hu, L., He, S., & Su, S. (2024). Accessibility of Healthcare Resources to Public Housing in Shenzhen, China: Indirect Map Service and Optimized Two-Step Floating Catchment Area Method. Tropical Geography, 44(2), 226–235. Scopus. https://doi.org/10.13284/j.cnki.rddl.003824

  • Hu, Y., Chen, L., & 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. Scopus. https://doi.org/10.1016/j.aap.2024.107682

  • Hu, Y., Zhao, M., & 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. Scopus. https://doi.org/10.1016/j.trd.2024.104477

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

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

  • Jiang, F., Ma, J., Webster, C. J., Wang, W., & Cheng, J. C. P. (2024). Automated site planning using CAIN-GAN model. Automation in Construction, 159. Scopus. https://doi.org/10.1016/j.autcon.2024.105286

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

  • Jiang, X., Ye, D., Li, K., Feng, R., Wu, Y., & Yang, T. (2024). Built environment and airbnb spatial distribution in Hong Kong: A case study considering the spatial heterogeneity and multiscale effects. Applied Geography, 166. Scopus. https://doi.org/10.1016/j.apgeog.2024.103262

  • Lai, K. Y., Kumari, S., Gallacher, J., Webster, C. J., & Sarkar, C. (2024a). Association between Residential Greenness and Allostatic Load: A Cohort Study. Environmental Science and Technology, 58(11), 4884–4893. Scopus. https://doi.org/10.1021/acs.est.3c04792

  • Lai, K. Y., Kumari, S., Gallacher, J., Webster, C., & Sarkar, C. (2024b). Nexus between residential air pollution and physiological stress is moderated by greenness. Nature Cities, 1(3), 225–237. https://doi.org/10.1038/s44284-024-00036-6

  • Li, C., & 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. Scopus. https://doi.org/10.1016/j.geoforum.2024.104159

  • Li, C., & He, S. (2024b). Too Privileged to Move? Neighbourhood Perception and Relocation Intention in China’s Gated Communities. Tijdschrift Voor Economische En Sociale Geografie. Scopus. https://doi.org/10.1111/tesg.12616

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

  • Li, X., Zhao, L., Oleson, K., Zhou, Y., Qin, Y., Zhang, K., & Fang, B. (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). Scopus. https://doi.org/10.1029/2023MS004107

  • Li, Z., Chen, B., Wu, S., Su, M., Chen, J. M., & Xu, B. (2024). Deep learning for urban land use category classification: A review and experimental assessment. Remote Sensing of Environment, 311. Scopus. https://doi.org/10.1016/j.rse.2024.114290

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

  • Li, Z., Ma, J., Jiang, F., Zhang, S., & Tan, Y. (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. Scopus. https://doi.org/10.1016/j.jobe.2024.108675

  • Liang, Y., Liu, Y., Wang, X., & Zhao, Z. (2024). Exploring large language models for human mobility prediction under public events. Computers, Environment and Urban Systems, 112. Scopus. https://doi.org/10.1016/j.compenvurbsys.2024.102153

  • Liang, Y., Zhao, Z., Ding, F., Tang, Y., & He, Z. (2024). Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network. Information Fusion, 106. Scopus. https://doi.org/10.1016/j.inffus.2024.102294

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

  • Liao, Q., Yuan, J., Wong, I. O. L., Ni, M. Y., Cowling, B. J., & Lam, W. W. T. (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. Scopus. https://doi.org/10.2196/50958

  • Ling, C., Niu, X., Yang, J., Zhou, J., & Yang, T. (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. Scopus. https://doi.org/10.1016/j.jtrangeo.2024.103820

  • Liu, Y., & 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), 216–240. https://doi.org/10.1177/27541223241270374

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

  • Lu, H., Liu, L., Zhong, H., & Jiang, B. (2024). A dose of nature to reduce sexual crimes in public outdoor spaces: Proposing the Landscape-Sexual Crime Model. Landscape and Urban Planning, 250. Scopus. https://doi.org/10.1016/j.landurbplan.2024.105143

  • Ni, Y., Flores, F. P., Lun, P., Ning, K., Chow, M. S. C., Tian, L., Lin, S.-H., Lam, H. S., Cowling, B. J., Bishai, D. M., Leung, G. M., & Ni, M. Y. (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, 100976. https://doi.org/10.1016/j.lanwpc.2023.100976

  • Ou, Y., Li, X., & 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. Scopus. https://doi.org/10.1016/j.trd.2024.104381

  • Ou, Y., Song, W., & 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, 103991. https://doi.org/10.1016/j.trd.2023.103991

  • Qiang, W. W., Wen, T., Luo, H., Huang, B., & Lee, H. F. (2024). Does a more compact urban center layout matter in reducing household carbon emissions? Evidence from Chinese cities. Land Use Policy, 146. Scopus. https://doi.org/10.1016/j.landusepol.2024.107320

  • Qiao, R., Wu, Z., Jiang, Q., Liu, X., Gao, S., Xia, L., & Yang, T. (2024). The nonlinear influence of land conveyance on urban carbon emissions: An interpretable ensemble learning-based approach. Land Use Policy, 140. Scopus. https://doi.org/10.1016/j.landusepol.2024.107117

  • Shan, L., Fan, Z., & 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. Scopus. https://doi.org/10.1016/j.ufug.2024.128359

  • Tay, E. H., Shafie, S., Shahwan, S., Zhang, Y., Wang, P., Satghare, P., Devi, F., Tan, S. C., Ni, M. Y., Lun, P., & Subramaniam, M. (2024). Adherence to COVID-19 measures and the associated factors: Evidence from a two-wave longitudinal study in Singapore. BMC Public Health, 24(1). Scopus. https://doi.org/10.1186/s12889-024-20256-8

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

  • Tian, L., Hao, T., He, X., Chan, I., Niu, J., Chan, P. W., Ng, W. Y., & Huang, J. (2024). Examining the non-linear relationship between urban form and air temperature at street level: A case of Hong Kong. Building and Environment, 264. Scopus. https://doi.org/10.1016/j.buildenv.2024.111884

  • Tian, T., Yu, L., Tu, Y., Chen, B., & Gong, P. (2024). Mapping the Time-Series of Essential Urban Land Use Categories in China: A Multi-Source Data Integration Approach. Remote Sensing, 16(17), 3125.

  • Tu, Y., Wu, S., Chen, B., Weng, Q., Bai, Y., Yang, J., Yu, L., & Xu, B. (2024). A 30 m annual cropland dataset of China from 1986 to 2021. Earth System Science Data, 16(5), 2297–2316. Scopus. https://doi.org/10.5194/essd-16-2297-2024

  • Wang, X., Li, X., Wu, T., He, S., Zhang, Y., Ling, X., Chen, B., Bian, L., Shi, X., Zhang, R., Wang, J., Zheng, L., Li, J., & Gong, P. (2024). Municipal and Urban Renewal Development Index System: A Data-Driven Digital Analysis Framework. Remote Sensing, 16(3). Scopus. https://doi.org/10.3390/rs16030456

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

  • Webster, C. (2024b). Tiebout, Coase and urban scaling. Annals of Regional Science. Scopus. https://doi.org/10.1007/s00168-024-01272-3

  • Wei, H., Chen, B., Huang, K., Gao, M., Fan, B., Zhang, T., Tu, Y., & Xu, B. (2024). Moderating AC Usage Can Reduce Thermal Disparity between Indoor and Outdoor Environments. Environmental Science and Technology, 58(24), 10524–10535. Scopus. https://doi.org/10.1021/acs.est.4c00424

  • Wei, H., Chen, Y., Chen, B., Shi, S., Tu, Y., & Xu, B. (2024). Built environments, communities, and housing price: A data-model integration approach. Applied Geography, 166. Scopus. https://doi.org/10.1016/j.apgeog.2024.103270

  • Wei, S., Zhang, H., Xu, Z., Lin, G., Lin, Y., Liang, X., Ling, J., Wee, A. K. S., Lin, H., Zhou, Y., & Gong, P. (2024). Coastal urbanization may indirectly positively impact growth of mangrove forests. Communications Earth and Environment, 5(1). Scopus. https://doi.org/10.1038/s43247-024-01776-y

  • Wong, I. O. L., Wong, C., Mak, N., Dai, A., Xiao, J., Wu, P., Ni, M. Y., Liao, Q., & Cowling, B. J. (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), 3346–3354. Scopus. https://doi.org/10.1016/j.vaccine.2024.04.035

  • Wu, S., Chen, B., An, J., Lin, C., & Gong, P. (2024). The interplay of cloud cover and 3D urban structures reduces human access to sunlight. Nature Cities, 1–9. https://doi.org/10.1038/s44284-024-00120-x

  • Wu, S., Lin, X., Bian, Z., Lipson, M., Lafortezza, R., Liu, Q., Grimmond, S., Velasco, E., Christen, A., Masson, V., Crawford, B., Ward, H. C., Chrysoulakis, N., Fortuniak, K., Parlow, E., Pawlak, W., Tapper, N., Hong, J., Hong, J.-W., … Chen, B. (2024). Satellite observations reveal a decreasing albedo trend of global cities over the past 35 years. Remote Sensing of Environment, 303. Scopus. https://doi.org/10.1016/j.rse.2024.114003

  • Wu, S., Song, Y., An, J., Lin, C., & Chen, B. (2024). High-resolution greenspace dynamic data cube from Sentinel-2 satellites over 1028 global major cities. Scientific Data, 11(1). Scopus. https://doi.org/10.1038/s41597-024-03746-7

  • Xia, H., Qiao, L., Guo, Y., Ru, X., Qin, Y., Zhou, Y., & Wu, C. (2024). Enhancing phenology modeling through the integration of artificial light at night effects. Remote Sensing of Environment, 303. Scopus. https://doi.org/10.1016/j.rse.2024.113997

  • Xu, W., He, J., & 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, 273–289. Scopus. https://doi.org/10.1016/j.trf.2024.04.009

  • Xu, W., He, J., Luo, L., & Jiang, B. (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. Scopus. https://doi.org/10.1016/j.landurbplan.2024.105156

  • Xu, W., Jiang, B., Sullivan, W. C., Webster, C., Lu, Y., Chen, N., Yu, Z., & Chen, B. (2024). Racial disparities in environmental exposures and SARS-CoV-2 infection rates: A detailed population-weighted analysis. Sustainable Cities and Society, 101, 105135. https://doi.org/10.1016/j.scs.2023.105135

  • Xue, H., Guo, P., Li, Y., & Ma, J. (2024). Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety. Accident Analysis and Prevention, 200. Scopus. https://doi.org/10.1016/j.aap.2024.107544

  • Yan, X., Han, Z., Ye, P., Yeh, A. G.-O., Xu, X., Lee, A. W. M., Cheung, K. M. C., Gong, P., & He, S. (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. Scopus. https://doi.org/10.1016/j.lanwpc.2024.101046

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

  • Yu, X., Ma, J., Tang, Y., Yang, T., & Jiang, F. (2024). Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning. Accident Analysis and Prevention, 197. Scopus. https://doi.org/10.1016/j.aap.2023.107455

  • Yuan, J., Xu, Y., Wong, I. O. L., Lam, W. W. T., Ni, M. Y., Cowling, B. J., & Liao, Q. (2024). Dynamic predictors of COVID-19 vaccination uptake and their interconnections over two years in Hong Kong. Nature Communications, 15(1). Scopus. https://doi.org/10.1038/s41467-023-44650-9

  • Zhang, L., Ren, Z., Chen, B., Gong, P., Xu, B., & Fu, H. (2024). A Prolonged Artificial Nighttime-light Dataset of China (1984-2020). Scientific Data, 11(1). Scopus. https://doi.org/10.1038/s41597-024-03223-1

  • Zhang, P., Zhou, M., Zhou, J., Zhang, T., & Zhang, M. (2024). Accessible Jobs and Secured Jobs by Mode of Travel and Isochrone: An Exploratory Study of Shanghai, China. Transportation Research Record. Scopus. https://doi.org/10.1177/03611981241246774

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

  • Zhao, M., Wang, D., Li, W., & Liu, J. (2024). Unraveling influencing factors of public charging station utilization. Transportation Research Part D: Transport and Environment, 137. Scopus. https://doi.org/10.1016/j.trd.2024.104506

  • Zhou, M., & 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. Scopus. https://doi.org/10.1016/j.jtrangeo.2024.103851

  • Zhou, Y., Lu, Y., Wei, D., & He, S. (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. Scopus. https://doi.org/10.1016/j.healthplace.2024.103241

  • Zhou, Y., Yuan, Q., Yang, C., Guo, T., Ma, X., Sun, W., & Yang, T. (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, 03611981241270163. https://doi.org/10.1177/03611981241270163

  • Zhu, J., & 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, 1–23. https://doi.org/10.1080/02673037.2024.2428742

  • Zhu, J., Pawson, H., He, S., & Li, B. (2024). COVID-19 and aggravated housing precarity for international students: An Australian case study. International Journal of Housing Policy, 24(2), 344–371. Scopus. https://doi.org/10.1080/19491247.2024.2339441

  • Zu, J., Kong, H., Xu, Y., & Zhang, X. (2024). Carsharing in China: Impact of system and urban factors on usage and efficiency. Journal of Transport Geography, 117. Scopus. https://doi.org/10.1016/j.jtrangeo.2024.103897

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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.

​​​

2022

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

  • 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.

  • 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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