IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v91y2016icp134-147.html

Impact of information intervention on travel mode choice of urban residents with different goal frames: A controlled trial in Xuzhou, China

Author

Listed:
  • Geng, Jichao
  • Long, Ruyin
  • Chen, Hong

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.

Suggested Citation

  • Geng, Jichao & Long, Ruyin & Chen, Hong, 2016. "Impact of information intervention on travel mode choice of urban residents with different goal frames: A controlled trial in Xuzhou, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 134-147.
  • Handle: RePEc:eee:transa:v:91:y:2016:i:c:p:134-147
    DOI: 10.1016/j.tra.2016.06.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416301999
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2016.06.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Simma, A. & Axhausen, K. W., 2001. "Structures of commitment in mode use: a comparison of Switzerland, Germany and Great Britain," Transport Policy, Elsevier, vol. 8(4), pages 279-288, October.
    2. Avineri, Erel & Owen D. Waygood, E., 2013. "Applying valence framing to enhance the effect of information on transport-related carbon dioxide emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 31-38.
    3. Geller, E Scott, 1981. "Evaluating Energy Conservation Programs: Is Verbal Report Enough?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(3), pages 331-335, December.
    4. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    5. Eric Morris & Erick Guerra, 2015. "Mood and mode: does how we travel affect how we feel?," Transportation, Springer, vol. 42(1), pages 25-43, January.
    6. Yue, Ting & Long, Ruyin & Chen, Hong, 2013. "Factors influencing energy-saving behavior of urban households in Jiangsu Province," Energy Policy, Elsevier, vol. 62(C), pages 665-675.
    7. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    8. Kandt, Jens & Rode, Philipp & Hoffmann, Christian & Graff, Andreas & Smith, Duncan, 2015. "Gauging interventions for sustainable travel: A comparative study of travel attitudes in Berlin and London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 35-48.
    9. Böhler, Susanne & Grischkat, Sylvie & Haustein, Sonja & Hunecke, Marcel, 2006. "Encouraging environmentally sustainable holiday travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(8), pages 652-670, October.
    10. Wang, Zhaohua & Liu, Wei, 2015. "Determinants of CO2 emissions from household daily travel in Beijing, China: Individual travel characteristic perspectives," Applied Energy, Elsevier, vol. 158(C), pages 292-299.
    11. Lan-Cui Liu & Gang Wu & Yue-Jun Zhang, 2015. "Investigating the residential energy consumption behaviors in Beijing: a survey study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 243-263, January.
    12. Chen, Hong & Long, Ruyin & Niu, Wenjing & Feng, Qun & Yang, Ranran, 2014. "How does individual low-carbon consumption behavior occur? – An analysis based on attitude process," Applied Energy, Elsevier, vol. 116(C), pages 376-386.
    13. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    14. Tertoolen, Gerard & van Kreveld, Dik & Verstraten, Ben, 1998. "Psychological resistance against attempts to reduce private car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(3), pages 171-181, April.
    15. Graham-Rowe, Ella & Skippon, Stephen & Gardner, Benjamin & Abraham, Charles, 2011. "Can we reduce car use and, if so, how? A review of available evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 401-418, June.
    16. Jens Kandt & Philipp Rode & Christian Hoffmann & Andreas Graff & Duncan Smith, 2015. "Gauging interventions for sustainable travel: a comparative study of travel attitudes in Berlin and London," LSE Research Online Documents on Economics 63872, London School of Economics and Political Science, LSE Library.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Geng, Jichao & Long, Ruyin & Chen, Hong & Li, Wenbo, 2017. "Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 282-292.
    2. Jichao Geng & Ruyin Long & Hong Chen & Ting Yue & Wenbo Li & Qianwen Li, 2017. "Exploring Multiple Motivations on Urban Residents’ Travel Mode Choices: An Empirical Study from Jiangsu Province in China," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    3. Gustav Bösehans & Ian Walker, 2020. "Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory," Transportation, Springer, vol. 47(1), pages 243-273, February.
    4. Licheng Sun & Qunwei Wang & Shilong Ge, 2018. "Urban resident energy-saving behavior: a case study under the A2SC framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 515-536, March.
    5. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    6. Timmer, Sebastian & Merfeld, Katrin & Henkel, Sven, 2023. "Exploring motivations for multimodal commuting: A hierarchical means-end chain analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    7. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    8. Kandt, Jens & Rode, Philipp & Hoffmann, Christian & Graff, Andreas & Smith, Duncan, 2015. "Gauging interventions for sustainable travel: A comparative study of travel attitudes in Berlin and London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 35-48.
    9. Wolf, Ingo & Schröder, Tobias & Neumann, Jochen & de Haan, Gerhard, 2015. "Changing minds about electric cars: An empirically grounded agent-based modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 269-285.
    10. Feiyu Chen & Hong Chen & Xinru Huang & Ruyin Long & Hui Lu & Ting Yue, 2017. "Public Response to the Regulation Policy of Urban Household Waste: Evidence from a Survey of Jiangsu Province in China," Sustainability, MDPI, vol. 9(6), pages 1-23, June.
    11. Adam Rosenfield & John P. Attanucci & Jinhua Zhao, 2020. "A randomized controlled trial in travel demand management," Transportation, Springer, vol. 47(4), pages 1907-1932, August.
    12. Blumenberg, Evelyn & Schouten, Andrew & Brown, Anne, 2022. "Who’s in the driver’s seat? Gender and the division of car use in auto-deficit households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 14-26.
    13. Chiara Calastri & Simone Borghesi & Giorgio Fagiolo, 2019. "How do people choose their commuting mode? An evolutionary approach to travel choices," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(3), pages 887-912, October.
    14. Feitelson, Eran & Cohen-Blankshtain, Galit, 2018. "Public transport planning in a spatially segmented city: The case of Jerusalem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 65-74.
    15. Václav Plevka & Pieter Segaert & Chris M. J. Tampère & Mia Hubert, 2016. "Analysis of travel activity determinants using robust statistics," Transportation, Springer, vol. 43(6), pages 979-996, November.
    16. Cristina Pronello & Jean-Baptiste Gaborieau, 2018. "Engaging in Pro-Environment Travel Behaviour Research from a Psycho-Social Perspective: A Review of Behavioural Variables and Theories," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    17. Timmer, Sebastian & Bösehans, Gustav & Henkel, Sven, 2023. "Behavioural norms or personal gains? – An empirical analysis of commuters‘ intention to switch to multimodal mobility behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    18. Nordfjærn, Trond & Lind, Hans Brende & Şimşekoğlu, Özlem & Jørgensen, Stig Halvard & Lund, Ingunn Olea & Rundmo, Torbjørn, 2019. "The role of social cognition in perceived thresholds for transport mode change," Transport Policy, Elsevier, vol. 83(C), pages 88-96.
    19. Jens Kandt & Philipp Rode & Christian Hoffmann & Andreas Graff & Duncan Smith, 2015. "Gauging interventions for sustainable travel: a comparative study of travel attitudes in Berlin and London," LSE Research Online Documents on Economics 63872, London School of Economics and Political Science, LSE Library.
    20. Qu, Ying & Liu, Yakun & Zhu, Qinghua & Liu, Yue, 2014. "Motivating small-displacement car purchasing in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 47-58.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:91:y:2016:i:c:p:134-147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.