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

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  • 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
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    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. Linz, Manfred, 2004. "Weder Mangel noch Übermaß: Über Suffizienz und Suffizienzforschung," Wuppertal Papers 145, Wuppertal Institute for Climate, Environment and Energy.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
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    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.

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