IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v83y2020ics0966692319305393.html
   My bibliography  Save this article

Promoting active mobility behavior by addressing information target groups: The case of Austria

Author

Listed:
  • Markvica, Karin
  • Millonig, Alexandra
  • Haufe, Nadine
  • Leodolter, Maximilian

Abstract

Current transport policy objectives aiming to increase active mobility can solely be achieved by changing people's mobility behavior. To arouse interest and influence the decision process of the people, adequate information sources and services as well as appropriate incentives and motivation have to be used, but they have to be target-group specific to reach people more effectively. Influencing factors such as mobility habits, attitudes towards transport modes, shared social norms and values must be considered. Since people resemble in some characteristics, methods from social sciences are applied to identify homogeneous groups of shared mobility-related information needs and to extract appropriate group-related arguments to promote active mobility (e.g. health, environment, costs, image, or adventure). The paper describes the methodological approach and the results in form of six comprehensively defined homogeneous target groups derived from 12 qualitative focus groups. Moreover, a survey among a representative sample of 1000 persons in Austria is presented. Based on the outcomes, customized concepts for each specific target group (arguments, information needs, and preferred information channels) have been developed. The concept provides a solid basis for implementing measures to promote active mobility as prerequisite for reaching transport policy objectives.

Suggested Citation

  • Markvica, Karin & Millonig, Alexandra & Haufe, Nadine & Leodolter, Maximilian, 2020. "Promoting active mobility behavior by addressing information target groups: The case of Austria," Journal of Transport Geography, Elsevier, vol. 83(C).
  • Handle: RePEc:eee:jotrge:v:83:y:2020:i:c:s0966692319305393
    DOI: 10.1016/j.jtrangeo.2020.102664
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692319305393
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2020.102664?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
    ---><---

    References listed on IDEAS

    as
    1. Bamberg, Sebastian & Fujii, Satoshi & Friman, Margareta & Gärling, Tommy, 2011. "Behaviour theory and soft transport policy measures," Transport Policy, Elsevier, vol. 18(1), pages 228-235, January.
    2. Xinyu Cao & Susan Handy & Patricia Mokhtarian, 2006. "The Influences of the Built Environment and Residential Self-Selection on Pedestrian Behavior: Evidence from Austin, TX," Transportation, Springer, vol. 33(1), pages 1-20, January.
    3. Dieter Bögenhold, 2001. "Social Inequality and the Sociology of Life Style: Material and Cultural Aspects of Social Stratification," American Journal of Economics and Sociology, Wiley Blackwell, vol. 60(4), pages 829-847, April.
    4. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
    5. Linz, Manfred, 2004. "Weder Mangel noch Übermaß: Über Suffizienz und Suffizienzforschung," Wuppertal Papers 145, Wuppertal Institute for Climate, Environment and Energy.
    6. Norwood, Patricia & Eberth, Barbara & Farrar, Shelley & Anable, Jillian & Ludbrook, Anne, 2014. "Active travel intervention and physical activity behaviour: An evaluation," Social Science & Medicine, Elsevier, vol. 113(C), pages 50-58.
    7. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abouelela, Mohamed & Durán-Rodas, David & Antoniou, Constantinos, 2024. "Do we all need shared E-scooters? An accessibility-centered spatial equity evaluation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    2. Ferretto, Laura & Bruzzone, Francesco & Nocera, Silvio, 2021. "Pathways to active mobility planning," Research in Transportation Economics, Elsevier, vol. 86(C).
    3. Losada-Rojas, Lisa L. & Pyrialakou, Dimitra & Waldorf, Brigitte S. & Banda, Jorge A. & Gkritza, Konstantina, 2022. "The effect of location on physical activity: Implications for active travel," Journal of Transport Geography, Elsevier, vol. 104(C).
    4. Laura Mariana Reyes Madrigal & Isabelle Nicolaï & Jakob Puchinger, 2023. "Pedestrian mobility in Mobility as a Service (MaaS): sustainable value potential and policy implications in the Paris region case," Post-Print hal-04085604, HAL.
    5. Verena Maria Stockhammer & Sarah Pfoser & Karin Markvica & Jürgen Zajicek & Matthias Prandtstetter, 2021. "Behavioural Biases Distorting the Demand for Environmentally Friendly Freight Transport Modes: An Overview and Potential Measures," Sustainability, MDPI, vol. 13(21), pages 1-34, October.

    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. Yuan Gao & Kun Liu & Peiling Zhou & Hongkun Xie, 2021. "The Effects of Residential Built Environment on Supporting Physical Activity Diversity in High-Density Cities: A Case Study in Shenzhen, China," IJERPH, MDPI, vol. 18(13), pages 1-16, June.
    2. Sun, Bindong & Yan, Hong & Zhang, Tinglin, 2017. "Built environmental impacts on individual mode choice and BMI: Evidence from China," Journal of Transport Geography, Elsevier, vol. 63(C), pages 11-21.
    3. Kimihiro Hino & Ayako Taniguchi & Masamichi Hanazato & Daisuke Takagi, 2019. "Modal Shift from Cars and Promotion of Walking by Providing Pedometers in Yokohama City, Japan," IJERPH, MDPI, vol. 16(12), pages 1-14, June.
    4. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    5. Zijun Lu & Zhengao Li & Chuangui Mao & Yuanyuan Tan & Xingyue Zhang & Ling Zhang & Wenfei Zhu & Yuliang Sun, 2022. "Correlation between Campus-Built Environment and Physical Fitness in College Students in Xi’an—A GIS Approach," IJERPH, MDPI, vol. 19(13), pages 1-14, June.
    6. Liang Ma & Corinne Mulley & Wen Liu, 2017. "Social marketing and the built environment: What matters for travel behaviour change?," Transportation, Springer, vol. 44(5), pages 1147-1167, September.
    7. Antonio Páez, 2007. "Spatial perspectives on urban systems: developments and directions," Journal of Geographical Systems, Springer, vol. 9(1), pages 1-6, April.
    8. Shatu, Farjana & Yigitcanlar, Tan & Bunker, Jonathan, 2019. "Shortest path distance vs. least directional change: Empirical testing of space syntax and geographic theories concerning pedestrian route choice behaviour," Journal of Transport Geography, Elsevier, vol. 74(C), pages 37-52.
    9. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September.
    10. Li, Jingjing & Auchincloss, Amy H. & Yang, Yong & Rodriguez, Daniel A. & Sánchez, Brisa N., 2020. "Neighborhood characteristics and transport walking: Exploring multiple pathways of influence using a structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 85(C).
    11. Guimpert, Ignacio & Hurtubia, Ricardo, 2018. "Measuring, understanding and modelling the Walking Neighborhood as a function of built environment and socioeconomic variables," Journal of Transport Geography, Elsevier, vol. 71(C), pages 32-44.
    12. Xinyu Cao & Patricia L. Mokhtarian, 2012. "The connections among accessibility, self- selection and walking behaviour: a case study of Northern California residents," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 5, pages 73-95, Edward Elgar Publishing.
    13. Mitra, Suman & Yao, Mingqi & Ritchie, Stephen G., 2021. "Gender differences in elderly mobility in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 203-226.
    14. Alessandro Rigolon & Matthew H. E. M. Browning & Olivia McAnirlin & Hyunseo (Violet) Yoon, 2021. "Green Space and Health Equity: A Systematic Review on the Potential of Green Space to Reduce Health Disparities," IJERPH, MDPI, vol. 18(5), pages 1-27, March.
    15. Lachapelle, Ugo & Noland, Robert B., 2012. "Does the commute mode affect the frequency of walking behavior? The public transit link," Transport Policy, Elsevier, vol. 21(C), pages 26-36.
    16. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.
    17. Zhao, Chunli & Nielsen, Thomas Alexander Sick & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Meng, Xiaoying, 2018. "Urban form, demographic and socio-economic correlates of walking, cycling, and e-biking: Evidence from eight neighborhoods in Beijing," Transport Policy, Elsevier, vol. 64(C), pages 102-112.
    18. Rodríguez, Daniel A. & Levine, Jonathan & Agrawal, Asha Weinstein & Song, Jumin, 2011. "Can information promote transportation-friendly location decisions? A simulation experiment," Journal of Transport Geography, Elsevier, vol. 19(2), pages 304-312.
    19. Yu-Hsin Tsai, 2009. "Impacts of self-selection and transit proximity on commute mode choice: evidence from Taipei rapid transit system," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(4), pages 1073-1094, December.
    20. Cao, Xinyu (Jason) & Mokhtarian, Patricia L. & Handy, Susan L., 2009. "The relationship between the built environment and nonwork travel: A case study of Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 548-559, June.

    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:jotrge:v:83:y:2020:i:c:s0966692319305393. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.