The interplay between dockless bikeshare and bus for small-size cities in the US: A case study of Ithaca
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DOI: 10.1016/j.jtrangeo.2021.103175
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References listed on IDEAS
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Cited by:
- Gao, Ming & Fang, Congying, 2025. "Deciphering urban cycling: Analyzing the nonlinear impact of street environments on cycling volume using crowdsourced tracker data and machine learning," Journal of Transport Geography, Elsevier, vol. 124(C).
- Lv, Huitao & Li, Haojie & Chen, Yanlu & Feng, Tao, 2023. "An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning," Journal of Transport Geography, Elsevier, vol. 113(C).
- Liu, Xinyu & Yu, Jie & Zhao, Jing & Schneider, Robert J., 2025. "Bikeshare impacts on bus ridership: Unraveling the rail proximity effect," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
- Dehdari Ebrahimi, Zhila & Momenitabar, Mohsen & Nasri, Arefeh A. & Mattson, Jeremy, 2022. "Using a GIS-based spatial approach to determine the optimal locations of bikeshare stations: The case of Washington D.C," Transport Policy, Elsevier, vol. 127(C), pages 48-60.
- Huang, Ganxiang & Wang, Hongyan & Xu, Di, 2024. "Understanding the complementary effect of bike-sharing on public transit: A case study of subway line expansion in Xiamen, China," Journal of Transport Geography, Elsevier, vol. 121(C).
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