Understanding and Modeling the Social Preferences for Riders in Rideshare Matching

Yu Cui (), Ramandeep Singh Manjeet Singh Makhija (), Roger B. Chen (), Qing He () and Alireza Khani ()
Additional contact information
Yu Cui: NRC Research Fellow, Federal Highway Administration
Ramandeep Singh Manjeet Singh Makhija: University at Buffalo, The State University of New York
Roger B. Chen: Department of Civil and Environmental Engineering, University of Hawaii at Manoa
Qing He: University at Buffalo, The State University of New York
Alireza Khani: University of Minnesota

Transportation, 2021, vol. 48, issue 4, No 11, 1809-1835

Abstract: Abstract Ridesharing is the sharing of trip segments from one place to another among multiple travelers, obviating others’ needs to drive themselves. By having more than one occupant sharing a vehicle, ridesharing aims to reduce personal resources and costs, such as fuel and trip-related costs, and driver stress. The objective of this paper is to model the social preferences of rideshare passengers. We identify challenges and barriers people face in ridesharing with respect to whom they share the ride with and model these social preferences to determine the probability of matching for rideshare demand forecasting. An online survey instrument was designed and distributed among the people residing in the United States to uncover their preferences for ridesharing, in addition to the attributes of potential rideshare passengers. Furthermore, using the survey data, a discrete choice model with latent variables was estimated to uncover the relationship between social preferences and matching. We identified 13 attitudinal dimensions characterizing social preference from the survey responses. These 13 variables were further distilled into four latent variables using factor analysis. Four models were estimated for each latent dimension to predict the probabilities of a person pleasantly experiencing his/her shared rides in social aspects from his/her attributes and preferences. Based on the estimated choice model, we developed a matching index derived from preference probabilities that give a compatibility ratio between riders.

Keywords: Ridesharing behavior; Survey; Social preferences; Ordinal logistic regression; Factor analysis; Latent variables (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11116-020-10112-0 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:transp:v:48:y:2021:i:4:d:10.1007_s11116-020-10112-0

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11116/PS2

DOI: 10.1007/s11116-020-10112-0

Access Statistics for this article

Transportation is currently edited by Kay W. Axhausen

More articles in Transportation from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().