Abstract
Zeqi Ren, Dongyang Hou, Feng Zhen
Abstract
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10.1103/physreve.49.1685 · doi-reference
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10.1109/tvcg.2016.2598585 · doi-reference
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10.3390/buildings15091414 · doi-reference
How the neighborhood amenity mix shapes urban vitality: An exploratory analysis from a rhythm perspective
10.1016/j.apgeog.2025.103807 · doi-reference
Enhanced mapping of essential urban land use categories in China (EULUC-China 2.0): Integrating multimodal deep learning with multisource geospatial data
10.1016/j.scib.2025.07.006 · doi-reference
Geographic micro-process model: Understanding global urban expansion from a process-oriented view
10.1016/j.compenvurbsys.2021.101603 · doi-reference
An evaluation of street dynamic vitality and its influential factors based on multi-source big data
10.3390/ijgi10030143 · doi-reference
Spatial heterogeneity in distance decay of using bike sharing: An empirical large-scale analysis in Shanghai
10.1016/j.trd.2021.102814 · doi-reference
Spatial characterization of urban vitality and the association with various street network metrics from the multi-scalar perspective
10.3389/fpubh.2021.677910 · doi-reference
Travel and the built environment: A meta-analysis
10.1080/01944361003766766 · doi-reference
Understanding the mesoscopic scaling patterns within cities
10.1038/s41598-020-78135-2 · doi-reference
A systematic review of urban vitality studies: Trends and research opportunities
10.1016/j.landusepol.2025.107745 · doi-reference
Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality
10.1016/j.landurbplan.2024.105204 · doi-reference
Exploring the spatiotemporal patterns and correlates of urban vitality: Temporal and spatial heterogeneity
10.1016/j.scs.2023.104440 · doi-reference
A 100 m gridded population dataset of China's seventh census using ensemble learning and big geospatial data
10.5194/essd-16-3705-2024 · doi-reference
3D-GloBFP: The first global three-dimensional building footprint dataset
10.5194/essd-16-5357-2024 · doi-reference
Travel demand and the 3Ds: Density, diversity, and design
10.1016/s1361-9209(97)00009-6 · doi-reference
Random forests
10.1023/a:1010933404324 · doi-reference
Urban scaling and its deviations: Revealing the structure of wealth, innovation and crime across cities
10.1371/journal.pone.0013541 · doi-reference
The origins of scaling in cities
10.1126/science.1235823 · doi-reference
Temporal visitation patterns of points of interest in cities on a planetary scale: A network science and machine learning approach
10.1038/s41598-023-32074-w · doi-reference