Spatial variation of ridesplitting adoption rate in Chicago
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DOI: 10.1016/j.tra.2022.07.018
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- Zhang, Xiaojian & Zhou, Zhengze & Xu, Yiming & Zhao, Xilei, 2024. "Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning," Journal of Transport Geography, Elsevier, vol. 114(C).
- HUO, Zhengqi & YANG, Xiaobao & LIU, Xiaobing & YAN, Xuedong, 2024. "Spatio-temporal analysis on online designated driving based on empirical data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
- Chaoying Yin & Xiaoquan Wang & Chunfu Shao & Jianxiao Ma, 2022. "Exploring the Relationship between Built Environment and Commuting Mode Choice: Longitudinal Evidence from China," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
- Yunqiang Xue & Qifang Kong & Feng Sun & Meng Zhong & Haokai Tu & Caifeng Tan & Hongzhi Guan, 2022. "Shared Parking Decision Behavior of Parking Space Owners and Car Travelers Based on Prospect Theory—A Case Study of Nanchang City, China," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
- Shulika, Olha & Bujak, Michal & Ghasemi, Farnoud & Kucharski, Rafal, 2024. "Spatiotemporal variability of ride-pooling potential – Half a year New York City experiment," Journal of Transport Geography, Elsevier, vol. 114(C).
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Keywords
Ridesplitting adoption rate; Spatial variation; Built environment; Socio-economic factor; Geographically weighted regression;All these keywords.
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