Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76629
Title: A behavioral choice model of the use of car-sharing and ride-sourcing services
Authors: Dias, FF
Lavieri, PS
Garikapati, VM
Astroza, S
Pendyala, RM
Bhat, CR 
Keywords: Bivariate ordered probit model
Car-sharing services
Market adoption and use of disruptive mobility services
Ride-sourcing services
Travel demand forecasting
Issue Date: 2017
Publisher: Springer
Source: Transportation, 2017, p. 1-17 How to cite?
Journal: Transportation 
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.
URI: http://hdl.handle.net/10397/76629
ISSN: 0049-4488
DOI: 10.1007/s11116-017-9797-8
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