Citation

Sunio V, Schmocker JD, Kim J. Transp. Res. F Traffic Psychol. Behav. 2018; 59: 98-114.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.trf.2018.08.017

PMID

unavailable

Abstract

We describe how a mobility behavior change support system, called Blaze, is able to achieve a shift in changing the travel behavior of university students. We identify a causal pathway linking the effect of the technology intervention to its behavioral outcome through the mediation of a number of variables. The stage model of self-regulated behavioral change (SSBC) is used as a theoretical framework to understand how the outcome may be influenced by determinants (conceptual theory), and how the determinants may be activated by different intervention types (action theory). Using longitudinal data from a social experiment conducted over a month at a university in the Philippines, we test three hypotheses regarding the mechanism of change induced by Blaze. Our main findings suggest, in agreement with SSBC, that travel behavior change is achieved by a transition through a temporal sequence of four stages: predecision, pre-action, action and post-action. In an extension from SSBC, we further distinguish post-action depending on whether the behavior is on initiation or under maintenance. We observe that the former (initiation) is characterized by instability (either relapse or progress), while the latter (maintenance) by stability. Moreover, we validate most of the determinants of intentions as postulated by the stage model. Finally, we find that that Blaze can significantly change only the proximate implementation intention and not the more distal ones (e.g. goal and behavioral intentions). We discuss the implications of our results on the potential role of technology interventions in mobility management.

Language: en

Keywords

Mechanism of change; Mobility behavior change support system; Stage model; Technology-based intervention; Travel demand management