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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.

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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