A behavioral choice model of the use of car-sharing and ride-sourcing services

Felipe F. Dias (), Patrícia S. Lavieri (), Venu M. Garikapati (), Sebastian Astroza (), Ram M. Pendyala () and Chandra R. Bhat ()
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Felipe F. Dias: The University of Texas at Austin
Patrícia S. Lavieri: The University of Texas at Austin
Venu M. Garikapati: National Renewable Energy Laboratory
Sebastian Astroza: The University of Texas at Austin
Ram M. Pendyala: Arizona State University
Chandra R. Bhat: The University of Texas at Austin

Transportation, 2017, vol. 44, issue 6, No 5, 1307-1323

Abstract: Abstract There are a number of disruptive mobility services that are increasingly finding their way into the marketplace. Two key examples of such services are car-sharing services and ride-sourcing services. In an effort to better understand the influence of various exogenous socio-economic and demographic variables on the frequency of use of ride-sourcing and car-sharing services, this paper presents a bivariate ordered probit model estimated on a survey data set derived from the 2014–2015 Puget Sound Regional Travel Study. Model estimation results show that users of these services tend to be young, well-educated, higher-income, working individuals residing in higher-density areas. There are significant interaction effects reflecting the influence of children and the built environment on disruptive mobility service usage. The model developed in this paper provides key insights into factors affecting market penetration of these services, and can be integrated in larger travel forecasting model systems to better predict the adoption and use of mobility-on-demand services.

Keywords: Ride-sourcing services; Car-sharing services; Bivariate ordered probit model; Market adoption and use of disruptive mobility services; Travel demand forecasting (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (83)

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DOI: 10.1007/s11116-017-9797-8

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