A deeper investigation into the effect of the built environment on the use of ridehailing for non-work travel
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DOI: 10.1016/j.jtrangeo.2021.102952
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Cited by:
- Oded Cats & Rafal Kucharski & Santosh Rao Danda & Menno Yap, 2022. "Beyond the dichotomy: How ride-hailing competes with and complements public transport," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
- Steven R. Gehrke & Michael P. Huff, 2024. "Spatial equity implications and neighborhood indicators of ridehailing trip frequency and vehicle miles traveled in the phoenix metro region," Transportation, Springer, vol. 51(1), pages 271-295, February.
- Rico Krueger & Michel Bierlaire & Prateek Bansal, 2022. "A Data Fusion Approach for Ride-sourcing Demand Estimation: A Discrete Choice Model with Sampling and Endogeneity Corrections," Papers 2212.02178, arXiv.org.
- Sangwan Lee, 2022. "Exploring Associations between Multimodality and Built Environment Characteristics in the U.S," Sustainability, MDPI, vol. 14(11), pages 1-16, May.
- Yan, Yingying & Zhong, Shiquan & Tian, Junfang & Jia, Ning, 2022. "An empirical study on consumer automobile purchase intentions influenced by the COVID-19 outbreak," Journal of Transport Geography, Elsevier, vol. 104(C).
- Hossain Mohiuddin & Md Musfiqur Rahman Bhuiya & Shaila Jamal & Zhi Chen, 2022. "Exploring the Choice of Bicycling and Walking in Rajshahi, Bangladesh: An Application of Integrated Choice and Latent Variable (ICLV) Models," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
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Keywords
New mobility; Built environment; Residential self-selection; ICLV model; Accessibility;All these keywords.
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