Will information and incentive affect traveler's day-to-day departure time decisions?—An empirical study of decision making evolution process. Issue 6 (2nd June 2020)

• Record Type: Journal Article
• Authors: Hu, Xianbiao; Zhu, Xiaoyu; Chiu, Yi-Chang; Tang, Qing
• Is Part Of: International journal of sustainable transportation. Volume 14:Issue 6(2020)
• Page Start: 403
• Page End: 412
• Publication Date: 2020-06-02
• Subjects: Departure time choice -- travel behavior evolution -- smartphone based data collection -- incentive rewards -- information and communication technology (ICT); Transportation -- Periodicals; Sustainable development -- Periodicals; 388
• DOI: 10.1080/15568318.2019.1570402
• Languages: English
• ISSNs: 1556-8318

Abstract

Abstract: The uncertainty and unpredictability of a transportation network roots in the dynamics of individual travel behavior, which can be revised consciously or repeated habitually depending upon the reality and personality. In this paper, we propose to study the day-to-day departure time choice behavior of the travelers, using real observation data collected from a smartphone app, "Metropia". Influenced by the information and incentives provided in the app and the comparison with the experience gained from the last trip, a transformation process of traveler's day-to-day experience on departure time from an existing habit to a new one is analyzed in this study. The analysis result in a binary choice model for the shift of departure time for each repeated morning commute trip comparing with the last one, which proves that users' experience in app engagement, previous travel time saving, habitual travel time, incentives, and commute flexibility are able to trigger day-to-day behavioral change for their morning home-to work commutes. The findings of this research provide insights on the users' adaption to a new traffic information service along with incentives, and corresponding behavior changes over a transition period. The outcomes suggest ways to improve ICT services and incentive scheme, as well as the transportation operation and demand management.