Identification of urban regions’ functions in Chengdu, China, based on vehicle trajectory data
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DOI: 10.1371/journal.pone.0215656
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Cited by:
- Ting Liu & Gang Cheng & Jie Yang, 2023. "Multi-Scale Recursive Identification of Urban Functional Areas Based on Multi-Source Data," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
- Guolei Zhou & Chenggu Li & Jing Zhang, 2020. "Identification of urban functions enhancement and weakening based on urban land use conversion: A case study of Changchun, China," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-14, June.
- Qiao, Si & Yeh, Anthony Gar-On, 2021. "Is ride-hailing a valuable means of transport in newly developed areas under TOD-oriented urbanization in China? Evidence from Chengdu City," Journal of Transport Geography, Elsevier, vol. 96(C).
- Jing Cheng & Xiaowei Luo, 2023. "Analyzing the Direction of Urban Function Renewal Based on the Complex Network," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
- Xuanxuan Xia & Kexin Lin & Yang Ding & Xianlei Dong & Huijun Sun & Beibei Hu, 2020. "Research on the Coupling Coordination Relationships between Urban Function Mixing Degree and Urbanization Development Level Based on Information Entropy," IJERPH, MDPI, vol. 18(1), pages 1-24, December.
- Jiao, Hongzan & Huang, Shibiao & Zhou, Yu, 2023. "Understanding the land use function of station areas based on spatiotemporal similarity in rail transit ridership: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 109(C).
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