1. Activity-travel adaptations in response to a tradable driving credits scheme
- Author
-
Martin Dijst, Dick Ettema, and Nico Dogterom
- Subjects
Scheme (programming language) ,050210 logistics & transportation ,Computer science ,05 social sciences ,Geography, Planning and Development ,0211 other engineering and technologies ,021107 urban & regional planning ,Transportation ,02 engineering and technology ,Preference ,Empirical research ,Mixed logit ,0502 economics and business ,Econometrics ,TRIPS architecture ,Travel mode ,Adaptation (computer science) ,computer ,computer.programming_language - 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.
- Published
- 2018