Substitution effect or complementation effect for bicycle travel choice preference and other transportation availability: Evidence from US large-scale shared bicycle travel behaviour data. (1st September 2018)

• Record Type: Journal Article
• Authors: Wang, Zhaohua; Sun, Yefei; Zeng, Yimeng; Wang, Bo
• Is Part Of: Journal of cleaner production. Volume 194(2018)
• Page Start: 406
• Page End: 415
• Publication Date: 2018-09-01
• Subjects: Shared bicycle travel data -- Substitution effect -- Complementation effect -- Bicycle travel choice preference -- Other transportation availability; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2018.04.233
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Among all transportation modes, how do people choose their strategy when commuting? To better understand travel behaviour in new era, we introduce the perspective of "Multi-Choice" to complement that of existing "Single-Choice" based on the random utility maximisation theory and focus on actual travel data from the Pronto! system in Seattle in 2015, to test such a theory as well as other geographical and demographical data. By using mixed multiple regression, we find that at the peak of weekday use, the accessibility of other transportation modes (quantified by their density of infrastructure) could affect the departure flow of the Pronto! stations around them (within a 0.5 km buffer), but in a different trend in terms of multi-choice process. Besides those, we also find that the density of the points of interest around the station could positively affect departure flows on weekends, while the traffic-related factors did not. The current study broadens the traditional perspective of travel demand models by introducing a multi-choice option, and testing it against actual mode choices in people's daily behaviour using shared-bicycle data from Pronto!, Seattle.