Impact of information intervention on travel mode choice of urban residents with different goal frames: A controlled trial in Xuzhou,China |
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| Institution: | 1. École supérieure d’aménagement du territoire et de développement régional (ÉSAD), FAS-1622, Université Laval, Québec, Canada;2. AFEKA, Tel-Aviv Academic College of Engineering, Afeka Center for Infrastructure, Transportation and Logistics (ACITRAL), 38 Mivtza Kadesh St, 699812 Tel Aviv, Israel;1. Department of Family and Consumer Studies and Cancer Control and Population Sciences, Huntsman Cancer Institute, 225 S 1400 E RM 228, University of Utah, Salt Lake City, UT 84112, USA;2. Department of Psychology, 380 S. 1530 E., RM 502 BSB, University of Utah, Salt Lake City, UT, USA;3. Department of Geography, Ohio State University, 1036 Derby Hall, 154 N. Oval Mall, The Ohio State University, Columbus, OH, USA;4. Department of Family and Consumer Studies, 225 S 1400 E RM 228, University of Utah, Salt Lake City, UT, USA;1. Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada;2. Faculty of Kinesiology, University of Calgary, Alberta, Canada;3. School of Planning, Architecture, and Landscape, University of Calgary, Alberta, Canada;4. Faculty of Sport Sciences, Waseda University, Japan;5. Transportation Planning, Transportation Department, The City of Calgary, Alberta, Canada;1. Lund University, Department of Technology and Society, Box 118, SE-221 00 Lund, Sweden;2. Trivector Traffic, Åldermansgatan 13, SE-222764 Lund, Sweden;1. College of Management and Economics, Tianjin University, Tianjin 300072, China;2. Center for Energy & Environmental Policy Research, Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;3. School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, SEB Building, Atlanta, GA 30332, USA |
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| Abstract: | In order to assess the degree to which specific groups will adapt their travel behaviors after certain intervention, this study utilized a cluster analysis to discuss three segments’ distinct goal frames, social-demographic properties, travel modes, and habitat, and then carried out an information intervention controlled trial to discover three segments’ modal split shifts. The results indicate that the information have consistent and distinct impacts on travel mode choice by clusters. This consistency is embodied in the simultaneous and significant increase in travel times by green modes (walking, non-powered bicycle, or bus) and in the small but non-significant effects on reducing car use in the three clusters. The distinctness of the impacts is that information have a more effective influence on subjects with gain goal frames because their travel times by all three green modes greatly improved. Subjects with the hedonic goal frame are the least sensitive to information, with the only significant increase in travel times being by non-powered bicycle. This research also addressed the “attitude-behavior gap”, weather impacts, and goal-oriented prompts. The findings suggest that policy interventions should be designed to improve public transit features, especially the bicycle system, rather than only to constrain car use, and that tailored policies should be targeted to specific groups with different goal frames. |
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| Keywords: | Information Goal frame Travel mode choice Cluster analysis |
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