Modelling users’ behaviour of a carsharing program: Application of a joint hazard and zero inflated dynamic ordered probability model
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References listed on IDEAS
- Steininger, Karl & Vogl, Caroline & Zettl, Ralph, 1996. "Car-sharing organizations : The size of the market segment and revealed change in mobility behavior," Transport Policy, Elsevier, vol. 3(4), pages 177-185, October.
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- repec:eee:transa:v:103:y:2017:i:c:p:362-376 is not listed on IDEAS
- Nourinejad, Mehdi & Roorda, Matthew J., 2014. "A dynamic carsharing decision support system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 36-50.
- Firnkorn, Jörg, 2012. "Triangulation of two methods measuring the impacts of a free-floating carsharing system in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1654-1672.
- Junhee Kang & Keeyeon Hwang & Sungjin Park, 2016. "Finding Factors that Influence Carsharing Usage: Case Study in Seoul," Sustainability, MDPI, Open Access Journal, vol. 8(8), pages 1-12, July.
- Wagner, Sebastian & Brandt, Tobias & Neumann, Dirk, 2016. "In free float: Developing Business Analytics support for carsharing providers," Omega, Elsevier, vol. 59(PA), pages 4-14.
- Schaefers, Tobias, 2013. "Exploring carsharing usage motives: A hierarchical means-end chain analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 69-77.
- Cartenì, Armando & Cascetta, Ennio & de Luca, Stefano, 2016. "A random utility model for park & carsharing services and the pure preference for electric vehicles," Transport Policy, Elsevier, vol. 48(C), pages 49-59.
- de Luca, Stefano & Di Pace, Roberta, 2015. "Modelling users’ behaviour in inter-urban carsharing program: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 59-76.
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KeywordsCrashing; Travel demand; Travel mode; Zero inflation; Joint econometric model;
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