Exploring Commuter’s Preferences and Future Intentions to Use Ride-Sharing: A Case Study From a Developing Country

  • Intizar Hussain
  • , Qinaat Hussain*
  • , Charitha Dias
  • , Walid Al Bargi
  • , Nazam Ali
  • , Muhammad Abdullah
  • , Lin Cheng
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study investigates transportation choices with a specific focus on ride-sharing practices. The main aim of the study was to understand the current modes of transport, the primary reasons for choosing them, ride-sharing experiences, and future ride-sharing intentions within the context of Islamabad, Pakistan. The final analyses were based on 294 respondents, including 88 respondents with prior ride-sharing experience. The sample was skewed toward male participants (80.6%), reflecting national mobility patterns. Logistic regression was employed to investigate the relationship between different factors toward individuals’ intentions to use ride-sharing as a future commuting option. The results indicate that gender, previous ride-sharing experience, preferences for companionship during ride-sharing, and the primary mode of transportation for shopping emerged as significant factors influencing future ride-sharing intentions. Males are nearly three times more likely to adopt ride-sharing (Exp (β) = 2.9) than females (β = 1.07, p < 0.01). Similarly, individuals with previous ride-sharing experience (β = 0.94, p < 0.01) have a 2.6 times higher likelihood of choosing ride-sharing in the future. Moreover, respondents preferring larger groups while ride-sharing exhibit higher adoption intentions (β = 0.26, p = 0.02, Exp (β) = 1.3). In contrast, individuals primarily using motorcycles (β = −1.53, p = 0.02, Exp (β) = 0.2) or personal cars (β = −1.72, p = 0.01, Exp (β) = 0.2) for shopping are less inclined to shift toward ride-sharing. The model achieves a Nagelkerke pseudo R2 of 0.23, explaining 23% of the variance in future ride-sharing intentions. This research yields valuable insights that could guide initiatives aimed at fostering ride-sharing adoption and encouraging individuals to utilize this mode of transportation.

Original languageEnglish
Article number5516034
JournalJournal of Advanced Transportation
Volume2025
Issue number1
DOIs
StatePublished - 2025

Bibliographical note

Publisher Copyright:
Copyright © 2025 Intizar Hussain et al. Journal of Advanced Transportation published by John Wiley & Sons Ltd.

Keywords

  • carpooling
  • logistic regression
  • mode choice
  • ride-sharing
  • travel pattern

ASJC Scopus subject areas

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management

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