Generalized Costs of Travel by Solo and Pooled Ridesourcing vs. Privately Owned Vehicles, and Policy Implications
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Tian Li & Peng Jing & Linchao Li & Dazhi Sun & Wenbo Yan, 2019. "Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
- Enayat Mirzaei & Dominique Mignot, 2021. "An Empirical Analysis of Mode Choice Decision for Utilitarian and Hedonic Trips: Evidence from Iran," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
- Kunbo Shi & Long Cheng & Jonas De Vos & Yongchun Yang & Wanpeng Cao & Frank Witlox, 2021. "How does purchasing intangible services online influence the travel to consume these services? A focus on a Chinese context," Transportation, Springer, vol. 48(5), pages 2605-2625, October.
- Emami, Maryam & Haghshenas, Hossein & Talebian, Ahmadreza & Kermanshahi, Shahab, 2022. "A game theoretic approach to study the impact of transportation policies on the competition between transit and private car in the urban context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 320-337.
- Mingwei He & Jianbo Li & Zhuangbin Shi & Yang Liu & Chunyan Shuai & Jie Liu, 2022. "Exploring the Nonlinear and Threshold Effects of Travel Distance on the Travel Mode Choice across Different Groups: An Empirical Study of Guiyang, China," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
- Yuanyuan Mao & Xiyuan Ren & Ling Yin & Qingying Sun & Ke Song & De Wang, 2021. "Investigating Tourists’ Willingness to Walk (WTW) to Attractions within Scenic Areas: A Case Study of Tongli Ancient Town, China," Sustainability, MDPI, vol. 13(23), pages 1-15, November.
- Guan, Xiaodong & Wang, Donggen, 2019. "Influences of the built environment on travel: A household-based perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 710-724.
- Bi, Hui & Ye, Zhirui & Hu, Liyang & Zhu, He, 2021. "Why they don't choose bus service? Understanding special online car-hailing behavior near bus stops," Transport Policy, Elsevier, vol. 114(C), pages 280-297.
- Ostermeijer, Francis & Koster, Hans RA. & van Ommeren, Jos, 2019.
"Residential parking costs and car ownership: Implications for parking policy and automated vehicles,"
Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 276-288.
- Francis Ostermeijer & Hans Koster & Jos van Ommeren, "undated". "Residential parking costs and car ownership: Implications for parking policy and automated vehicles," Tinbergen Institute Discussion Papers 19-020/VIII, Tinbergen Institute.
- Junya Kumagai & Mihoko Wakamatsu & Shunsuke Managi, 2021. "Do commuters adapt to in-vehicle crowding on trains?," Transportation, Springer, vol. 48(5), pages 2357-2399, October.
- Jixiang Liu & Longzhu Xiao, 2024. "Socioeconomic differences in effect size: predicting commuting mode choice of migrants and locals using a light gradient boosting approach," Transportation, Springer, vol. 51(1), pages 1-24, February.
- Neves, Carlos Eduardo Teixeira & da Silva, Alan Ricardo & Arruda, Fabiana Serra de, 2021. "Exploring the link between built environment and walking choice in São Paulo city, Brazil," Journal of Transport Geography, Elsevier, vol. 93(C).
- Charles Raux & Ayana Lamatkhanova & Lény Grassot, 2021. "Does the built environment shape commuting? The case of Lyon (France)," Post-Print halshs-03010833, HAL.
- Duan, Sophia Xiaoxia & Tay, Richard & Molla, Alemayehu & Deng, Hepu, 2022. "Predicting Mobility as a Service (MaaS) use for different trip categories: An artificial neural network analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 135-149.
- Audrius Dėdelė & Auksė Miškinytė, 2021. "Promoting Sustainable Mobility: A Perspective from Car and Public Transport Users," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
- Jae-Hong Kwon & Gi-Hyoug Cho, 2023. "The Long-Lasting Impact of Past Mobility Dependence on Travel Mode Share in a New Neighborhood: The Case of the Seoul Metropolitan Area, South Korea," Land, MDPI, vol. 12(10), pages 1-16, October.
- Song, Weize & Zhang, Xiaoling & An, Kangxin & Yang, Tao & Li, Heng & Wang, Can, 2021. "Quantifying the spillover elasticities of urban built environment configurations on the adjacent traffic CO2 emissions in mainland China," Applied Energy, Elsevier, vol. 283(C).
- Ren, Xiyuan & Chow, Joseph Y.J., 2022. "A random-utility-consistent machine learning method to estimate agents’ joint activity scheduling choice from a ubiquitous data set," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 396-418.
- Chen, Jie & Hu, Maobin & Shi, Congling, 2023. "Development of eco-routing guidance for connected electric vehicles in urban traffic systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
- Jincheng Wang & Qunqi Wu & Feng Mao & Yilong Ren & Zilin Chen & Yaqun Gao, 2021. "Influencing Factor Analysis and Demand Forecasting of Intercity Online Car-Hailing Travel," Sustainability, MDPI, vol. 13(13), pages 1-19, July.
More about this item
Keywords
Engineering; Ridesourcing; ridesharing; vehicle sharing; travel costs; travel behavior; autonomous vehicles; automobile ownership; policy analysis;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-DCM-2020-03-09 (Discrete Choice Models)
- NEP-ENE-2020-03-09 (Energy Economics)
- NEP-REG-2020-03-09 (Regulation)
- NEP-TRE-2020-03-09 (Transport Economics)
- NEP-URE-2020-03-09 (Urban and Real Estate Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsdav:qt6vz5q4mc. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.