Modeling bike-sharing demand using a regression model with spatially varying coefficients
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DOI: 10.1016/j.jtrangeo.2021.103059
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References listed on IDEAS
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Cited by:
- Chang, Annie Y.J. & Wang, Xudong & Sharafi, Mojdeh & Miranda-Moreno, Luis & Sun, Lijun, 2024. "Headwind or tailwind? The evolution of bike-sharing and ride-hailing demand during the COVID-19 pandemic," Journal of Transport Geography, Elsevier, vol. 118(C).
- Zhang, Yantang & Hu, Xiaowei & Wang, Hui & An, Shi, 2024. "How does the built environment affect the usage efficiency of dockless-shared bicycle? An exploration of time-varying nonlinear relationships," Journal of Transport Geography, Elsevier, vol. 118(C).
- Hongjun Cui & Zhixiao Ren & Xinwei Ma & Minqing Zhu, 2025. "How does Bike Absence Influence Mode Shifts Among Dockless Bike-Sharing Users? Evidence From Nanjing, China," Papers 2503.14265, arXiv.org.
- Ali Behroozi & Ali Edrisi, 2025. "Predicting travel demand of a bike sharing system using graph convolutional neural networks," Public Transport, Springer, vol. 17(1), pages 281-317, March.
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