A User-Centered Design Exploration of Factors That Influence the Rideshare Experience
Open Access
Abstract
The rise of real-time information communication through smartphones and wireless networks enabled the growth of ridesharing services. While personal rideshare services (individuals riding alone or with acquaintances) initially dominated the market, the popularity of pooled ridesharing (individuals sharing rides with people they do not know) has grown globally. However, pooled ridesharing remains less common in the U.S., where personal vehicle usage is still the norm. Vehicle design and rideshare services may need to be tailored to user preferences to increase pooled rideshare adoption. Based on a large, national U.S. survey (N = 5385), the results of exploratory and confirmatory factor analyses suggested that four key factors influence riders’ willingness to consider pooled ridesharing: comfort/ease of use, convenience, vehicle technology/accessibility, and passenger safety. A binomial logistic regression was conducted to determine how the four factors influence one’s willingness to consider pooled ridesharing. The two factors that positively influence riders’ willingness to consider pooled ridesharing are vehicle technology/accessibility (B = 1.10) and convenience (B = 0.94), while lack of passenger safety (B = −0.63) and comfort/ease of use (B = −0.17) are pooled ridesharing deterrents. Understanding user-centered design and service factors are critical to increase the use of pooled ridesharing services in the future.Keywords
Funding Information
- U.S. Department of Energy (DE-EE0009205)
This publication has 39 references indexed in Scilit:
- Dynamic ridesharing and information and communications technology: past, present and future prospectsTransportation Planning and Technology, 2013
- Ridesharing in North America: Past, Present, and FutureTransport Reviews, 2012
- Logistic regression modelsAllergologia et Immunopathologia, 2011
- Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel AnalysisOrganizational Research Methods, 2004
- Relation of sample size to the stability of component patterns.Psychological Bulletin, 1988
- Telecommunications and travel relationships: a reviewTransportation Research Part A: General, 1986
- An Index of Factorial SimplicityPsychometrika, 1974
- A Rationale and Test for the Number of Factors in Factor AnalysisPsychometrika, 1965
- PROMAX: A QUICK METHOD FOR ROTATION TO OBLIQUE SIMPLE STRUCTUREBritish Journal of Statistical Psychology, 1964
- The Application of Electronic Computers to Factor AnalysisEducational and Psychological Measurement, 1960