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Title: The Importance of Peers in Student Cycling Choice: a Discrete Choice Model with Endogenous Social Interactions for the Choice of Owning a Bike by a University Student in Toronto
Accession Number: 01660392
Record Type: Component
Abstract: The paper employed a latent class discrete choice model with endogenous social interaction effect model to investigate the role of gender and age-cohort-specific peer or social interaction effect on the choice of owning a bike by the university students in Toronto. For the empirical investigation, it used a dataset collected through a web-based travel survey among the students of all 4 universities with 7 campuses in Toronto. Two latent classes of bicycle owners are identified: peer-conforming and peer-indifferent. Empirical model proves that the influence of age-cohort specific peer-group social interactions is real and very strong on the choices of bicycle ownership. Gender of the students play a defining role in partitioning a student into the latent classes of bicycle users, however, female students are influenced more by the choices of fellow female students than do the male students. Also, considerable heterogeneity exists in such age-cohort specific social interaction effects. The finding of this study has clear policy relevance and calls for policy initiatives. Policy initiatives that target female students of specific age groups will have greater potential in influencing bicycle usage. Overall, the choice of owning a bicycle is influenced by various variables in complex ways. This makes the potential of social engineering type policy initiatives highly potential for success in increasing bicycle ownership among the university students.
Supplemental Notes: This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.
Report/Paper Numbers: 18-03088
Language: English
Authors: Habib, Khandker NurulPagination: 20p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Planning and Forecasting; Society; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-03088
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:44AM
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