| Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach J Liu, B Wang, L Xiao Journal of Transport Geography 92, 103034, 2021 | 99 | 2021 |
| Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree L Xiao, S Lo, J Liu, J Zhou, Q Li Sustainable cities and society 72, 103063, 2021 | 98 | 2021 |
| Hierarchical two-step floating catchment area (2SFCA) method: Measuring the spatial accessibility to hierarchical healthcare facilities in Shenzhen, China Z Tao, Y Cheng, J Liu International Journal for Equity in Health 19, 1-16, 2020 | 85 | 2020 |
| Global and local associations between urban greenery and travel propensity of older adults in Hong Kong L Yang, J Liu, Y Lu, Y Ao, Y Guo, W Huang, R Zhao, R Wang Sustainable cities and society 63, 102442, 2020 | 77 | 2020 |
| Spatially varying effects of street greenery on walking time of older adults L Yang, J Liu, Y Liang, Y Lu, H Yang ISPRS International Journal of Geo-Information 10 (9), 596, 2021 | 76 | 2021 |
| Revitalizing historic districts: Identifying built environment predictors for street vibrancy based on urban sensor data M Li, J Liu, Y Lin, L Xiao, J Zhou Cities 117, 103305, 2021 | 44 | 2021 |
| Using a system of equations to assess the determinants of the walking behavior of older adults L Yang, X Tang, H Yang, F Meng, J Liu Transactions in GIS 26 (3), 1339-1354, 2022 | 30 | 2022 |
| Built environment correlates of walking for transportation J Liu, L Xiao, J Zhou Journal of Transport and Land Use 14 (1), 1129-1148, 2021 | 21 | 2021 |
| Predicting vibrancy of metro station areas considering spatial relationships through graph convolutional neural networks: The case of Shenzhen, China L Xiao, S Lo, J Zhou, J Liu, L Yang Environment and Planning B: Urban Analytics and City Science 48 (8), 2363-2384, 2021 | 19 | 2021 |
| Beating long trips with a smartphone? A case study of Beijing residents J Zhou, L Yang, J Liu, C Zhang Cities 73, 36-43, 2018 | 18 | 2018 |
| Elaborating spatiotemporal associations between the built environment and urban vibrancy: A case of Guangzhou City, China B Wang, Y Lei, D Xue, J Liu, C Wei Chinese Geographical Science 32 (3), 480-492, 2022 | 15 | 2022 |
| Perceived neighborhood environment impacts on health behavior, multi-dimensional health, and life satisfaction J Liu, L Yang, L Xiao, Z Tao Frontiers in Public Health 10, 850923, 2022 | 14 | 2022 |
| Built environment correlates of the propensity of walking and cycling L Xiao, L Yang, J Liu, H Yang Sustainability 12 (20), 8752, 2020 | 14 | 2020 |
| Non-linear relationships between built environment and commuting duration of migrants and locals J Liu, L Xiao Journal of Transport Geography 106, 103517, 2023 | 11 | 2023 |
| A tale of two social groups in Xiamen, China: Trip frequency of migrants and locals and its determinants J Liu, L Xiao, L Yang, J Zhou Travel Behaviour and Society 20, 213-224, 2020 | 10 | 2020 |
| Exploring non-linear built environment effects on urban vibrancy under COVID-19: The case of Hong Kong L Xiao, J Liu Applied Geography 155, 102960, 2023 | 8 | 2023 |
| Using Entropy Weight Method to Assess Transit Satisfaction: A Focus on Older Adults Y Linchuan, G Yuanyuan, L Jixiang China City Planning Review 30 (1), 64-73, 2021 | 5 | 2021 |
| 建成环境对步行通勤通学的影响 刘吉祥， 周江评， 肖龙珠， 杨林川 地理科学进展 38 (6), 2019 | 5 | 2019 |
| Detecting urban dynamics with taxi trip data for evaluation and optimizing of spatial planning: the example of Xiamen city, China L Xiao, J Liu International review for spatial planning and sustainable development 4 (3 …, 2016 | 5 | 2016 |
| Effects of the built environment on pedestrian communing to work and school: The Hong Kong case, China L Jixiang, Z Jiangping, X Longzhu, Y Linchuan Progress in Geography 38 (6), 807-817, 2019 | 4 | 2019 |
LONGZHU XIAOCity University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
