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Exploration of Factors That Influence Willingness to Consider Pooled Rideshare

Haotian Su, Rakesh Gangadharaiah, Elenah B. Rosopa, Johnell O. Brooks, Lisa Boor, Kristin Kolodge, Patrick J. Rosopa, Yunyi Jia

2024Transportation Research Record Journal of the Transportation Research Board13 citationsDOIOpen Access PDF

Abstract

Ridesharing has become an increasingly prevalent form of transportation. Although transportation network companies such as Uber and Lyft initially started as a personal rideshare service where individuals ride alone or with people they know, rideshare services have been expanded to pooled rideshare—a dynamic rideshare system where an individual rides with passengers they do not know. Despite the growth in rideshare services worldwide, the use of pooled rideshare in the U.S.A. is relatively low compared to other forms of transportation. A national U.S. survey ( N = 5385) was conducted to investigate reasons why individuals are willing or unwilling to consider pooled rideshare. Exploratory and confirmatory factor analyses were performed, where the exploratory factor analysis suggests five factors, specifically, service experience , time/cost , traffic/environment , privacy , and safety . Model fit indices of the confirmatory factor analysis verified that these five factors can represent the factors behind riders’ willingness to consider pooled rideshare. Furthermore, a binomial logistic regression was conducted to explore how the five factors influence riders’ willingness to consider pooled rideshare. The three factors that influence riders’ willingness to consider pooled rideshare were service experience ( B = 1.05), traffic/environment ( B = .38), and time/cost ( B = .26), while a lack of privacy ( B = −1.46) can be a deterrent for pooled rideshare. Safety is important for those who are both willing and unwilling to consider the use of pooled rideshare. Understanding these factors is important for the future of pooled rideshare services in the U.S.A.

Topics & Concepts

EngineeringTransport engineeringService (business)Poison controlHuman factors and ergonomicsLogistic regressionForensic engineeringOperations researchMarketingBusinessEnvironmental healthComputer scienceMedicineMachine learningTransportation and Mobility InnovationsSharing Economy and PlatformsHuman-Automation Interaction and Safety
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