Activity-travel adaptations in response to a tradable driving credits scheme. (December 2018)

• Record Type: Journal Article
• Authors: Dogterom, Nico; Ettema, Dick; Dijst, Martin
• Is Part Of: Transport policy. Volume 72(2018)
• Page Start: 79
• Page End: 88
• Publication Date: 2018-12
• Subjects: Tradable driving credits -- Activity-travel pattern -- Stated adaptation -- Car use -- Travel behaviour; Transportation and state -- Periodicals; Transportation -- Rates -- Periodicals; 388
• DOI: 10.1016/j.tranpol.2018.09.018
• Languages: English
• ISSNs: 0967-070X

Abstract

Abstract: Although interest in the concept of tradable driving credits (TDC) has increased in recent years, empirical research into the potential effects of such a measure is scarce. The study reported in this paper employed an activity-based approach to investigate drivers' responses to two distance-based TDC scenarios. Three hundred and eight Dutch frequent car commuters participated in an online stated adaptation experiment in which they recorded their car use for 7 days and, in response to the TDC scenarios, had the opportunity to reorganise their car use pattern, if desired. This paper investigates adaptation behaviours at the trip level. The results show that approximately 30% of trips made for maintenance and leisure-oriented activities were subject to change. In cases of change, a travel mode change was the most preferred adaptation strategy. A mixed logit modelling framework is used to test the effect of a variety of activity/trip attributes, TDC scenario attributes, and individual characteristics on the preference for adaptation alternatives. Highlights: Responses of frequent car commuters to a hypothetical tradable driving credit scheme in the Netherlands were analysed. Trips made for maintenance and leisure were changed mostly. A travel mode change was the most preferred adaptation option, with the bicycle chosen in more than 40% of the cases. A mixed logit model was used to estimate the effects of trip, scenario and individual characteristics on adaptation choices.