Ridesharing as a Green Commute Alternative: A Campus Case Study

Sevgi Erdoğan, Cinzia Cirillo, Jean Michel Tremblay

Research output: Contribution to journalArticlepeer-review

43 Scopus citations


This paper studies demand for ridesharing in a university campus context, where authorities are planning to introduce programs aimed at reducing carbon-intensive travel activity. Following a descriptive analysis of commuter survey data, ordered probit models are developed to investigate interest in ridesharing. The model results show that participation in the program ranges from those who are possibly interested in being drivers to those who wish to be passengers. To further investigate differences in commuters’ taste, latent class ordered probit models are developed; the introduction of individual heterogeneity improves model fit. Residential distance, parking cost, web application, matching preferences, and service flexibility are found to significantly affect propensity to rideshare. These effects should be taken into account by universities or other large employers when planning carpooling/vanpooling services.

Original languageEnglish (US)
Pages (from-to)377-388
Number of pages12
JournalInternational Journal of Sustainable Transportation
Issue number5
StatePublished - Jul 4 2015
Externally publishedYes


  • SOV commute trip reduction
  • latent class ordered probit model
  • ordered response models
  • ridesharing
  • vanpooling

ASJC Scopus subject areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Transportation


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