Publications

2023

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.

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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.

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Guo, M. 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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, p. 102715. Available at: https://doi.org/10.1016/j.habitatint.2022.102715.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Wu, S. 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.

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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.

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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, p. 102828. Available at: https://doi.org/10.1016/j.habitatint.2023.102828.

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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.

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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.

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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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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Liu, X. et al. (2022) ‘China’s Belt and Road: time to make it greener’, Nature, 610(7933), pp. 630–630. Available at: https://doi.org/10.1038/d41586-022-03319-x.

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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.

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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.

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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.

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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.