A machine learning-based method for the large-scale evaluation of the qualities of the urban environment L Liu, EA Silva, C Wu, H Wang Computers, environment and urban systems 65, 113-125, 2017 | 231 | 2017 |
Understanding rural housing abandonment in China's rapid urbanization X Gao, A Xu, L Liu, O Deng, M Zeng, J Ling, Y Wei Habitat International 67, 13-21, 2017 | 86 | 2017 |
Transformations of urban studies and planning in the big/open data era: A review Y Long, L Liu International Journal of Image and Data Fusion 7 (4), 295-308, 2016 | 44 | 2016 |
A new perspective on the temporal pattern of human activities in cities: The case of Shanghai Y Zhang, L Liu, H Wang Cities 87, 196-204, 2019 | 24 | 2019 |
Evaluating the lifestyle impact of China’s rural housing land consolidation with locational big data: A study of Chengdu L Liu, X Gao, J Zhuang, W Wu, B Yang, W Cheng, P Xiao, X Yao, O Deng Land Use Policy 96, 104623, 2020 | 22 | 2020 |
A machine learning method for the large-scale evaluation of urban visual environment L Liu, H Wang, C Wu arXiv preprint arXiv:1608.03396, 2016 | 17 | 2016 |
Understanding temporal pattern of human activities using Temporal Areas of Interest Y Zhang, L Liu Applied geography 94, 95-106, 2018 | 16 | 2018 |
大数据时代的智慧城市规划: 国际经验 刘伦, 刘合林, 王谦, 龙瀛 国际城市规划, 38-43, 2014 | 15 | 2014 |
城市模型的回顾与展望——访谈麦克· 巴蒂之后的新思考 刘伦, 龙瀛, 麦克, 巴蒂 城市规划 38 (8), 63-70, 2014 | 15 | 2014 |
Block-level changes in the socio-spatial landscape in Beijing: Trends and processes L Liu, EA Silva, Y Long Urban Studies 56 (6), 1198-1214, 2019 | 12 | 2019 |
新数据环境下定量城市研究的四个变革 龙瀛, 刘伦 国际城市规划 32 (1), 64-73, 2017 | 12 | 2017 |
Similar outcomes, different paths: Tracing the relationship between neighborhood-scale built environment and travel behavior using activity-based modelling L Liu, EA Silva, Z Yang Cities 110, 103061, 2021 | 10 | 2021 |
Hard and soft data integration in geocomputation: Mixed methods for data collection and processing in urban planning EA Silva, L Liu, HR Kwon, H Niu, Y Chen Handbook of planning support science, 37-55, 2020 | 10 | 2020 |
A retrospect and prospect of urban models: Reflections after interviewing Mike Batty L Liu, Y Long City Planning Review 38 (8), 63-70, 2014 | 9 | 2014 |
Evacuation simulation and evaluation of different scenarios based on traffic grid model and high performance computing M Li, J Deng, L Liu, Y Long, Z Shen International Review for Spatial Planning and Sustainable Development 3 (3 …, 2015 | 7 | 2015 |
Temporal point pattern analysis of human activities using GIS methods: a case study of library visiting activities in Chengdu city, China Y Zhang, L Liu The Professional Geographer 71 (4), 738-750, 2019 | 6 | 2019 |
Using mobile phone data to probe mobility‐related well‐being of rural residents: A case study of Chengdu, China X Gao, L Liu, D Ou, H Yuwu Regional Science Policy & Practice, 2022 | 4 | 2022 |
The commuting rural labour forces revealed by mobile phone trace data X Gao, L Liu, J Zhuang, D Ou, Q Li, O Deng, J Li, M Zeng Environment and Planning A: Economy and Space 51 (8), 1611-1614, 2019 | 4 | 2019 |
Infectiousness of places – Impact of multiscale human activity places in the transmission of COVID-19 L Liu, H Wang, Z Zhang, W Zhang, S Zhuang, S Wang, EA Silva, T Lv, ... npj Urban Sustainability 2, 28, 2022 | 3 | 2022 |
城市研究中的计算机视觉应用进展与展望 刘伦, 王辉 城市规划 43 (1), 117-124, 2019 | 3 | 2019 |