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On the role of frameworks and smart mobility in addressing the rural mobility problem

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  • Mounce, Richard
  • Beecroft, Mark
  • Nelson, John D.

Abstract

Mobility is fundamentally important in enabling people to access services, which can deliver substantial benefits to people's quality of life. This is particularly important in rural areas where the range and extent of public transport services are, in general, significantly lower than in urban areas, and, indeed, below the level required to provide a level of service that is sufficiently high to enable people in rural areas without private cars to access these services. This paper looks at the role of governments in institutional, organisational, regulatory and financial frameworks in supporting rural transport services at a level that enables this access. A cluster analysis is performed to identify distinct classes of framework types across Europe. In addition, the paper gives examples of good practice and innovation in rural transport from across Europe incorporating a variety of themes: the use of Information and Communications Technology, intermodal service coordination, demand-responsive transport, shared mobility and good governance. Key success factors for introducing, sustaining and transferring these forms of good practice are then discussed.

Suggested Citation

  • Mounce, Richard & Beecroft, Mark & Nelson, John D., 2020. "On the role of frameworks and smart mobility in addressing the rural mobility problem," Research in Transportation Economics, Elsevier, vol. 83(C).
  • Handle: RePEc:eee:retrec:v:83:y:2020:i:c:s0739885920301542
    DOI: 10.1016/j.retrec.2020.100956
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    References listed on IDEAS

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    1. Mulley, Corinne & Nelson, John D. & Wright, Steve, 2018. "Community transport meets mobility as a service: On the road to a new a flexible future," Research in Transportation Economics, Elsevier, vol. 69(C), pages 583-591.
    2. Mounce, Richard & Nelson, John D., 2019. "On the potential for one-way electric vehicle car-sharing in future mobility systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 17-30.
    3. Peter White, 2011. "Equitable Access: Remote and Rural Communities 'Transport Needs'," International Transport Forum Discussion Papers 2011/19, OECD Publishing.
    4. Wright, Steve & Nelson, John D. & Cooper, James M. & Murphy, Stephanie, 2009. "An evaluation of the transport to employment (T2E) scheme in Highland Scotland using social return on investment (SROI)," Journal of Transport Geography, Elsevier, vol. 17(6), pages 457-467.
    5. Velaga, Nagendra R. & Beecroft, Mark & Nelson, John D. & Corsar, David & Edwards, Peter, 2012. "Transport poverty meets the digital divide: accessibility and connectivity in rural communities," Journal of Transport Geography, Elsevier, vol. 21(C), pages 102-112.
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    Cited by:

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    2. Gómez-Carmona, Oihane & Buján-Carballal, David & Casado-Mansilla, Diego & López-de-Ipiña, Diego & Cano-Benito, Juan & Cimmino, Andrea & Poveda-Villalón, María & García-Castro, Raúl & Almela-Miralles, , 2023. "Mind the gap: The AURORAL ecosystem for the digital transformation of smart communities and rural areas," Technology in Society, Elsevier, vol. 74(C).
    3. Douglas Mitieka & Rose Luke & Hossana Twinomurinzi & Joash Mageto, 2023. "Smart Mobility in Urban Areas: A Bibliometric Review and Research Agenda," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    4. Flipo, Aurore & Ortar, Nathalie & Sallustio, Madeleine, 2023. "Can the transition to sustainable mobility be fair in rural areas? A stakeholder approach to mobility justice," Transport Policy, Elsevier, vol. 139(C), pages 136-143.
    5. Ping Zhang & Weiwei Li & Kaixu Zhao & Yi Zhao & Hua Chen & Sidong Zhao, 2023. "The Impact Factors and Management Policy of Digital Village Development: A Case Study of Gansu Province, China," Land, MDPI, vol. 12(3), pages 1-32, March.
    6. Mulley, Corinne & Nelson, John D. & Ho, Chinh & Hensher, David A., 2023. "MaaS in a regional and rural setting: Recent experience," Transport Policy, Elsevier, vol. 133(C), pages 75-85.
    7. Iria Lopez-Carreiro & Andres Monzon & Elena Lopez, 2023. "MaaS Implications in the Smart City: A Multi-Stakeholder Approach," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    8. Juan Miguel Vega Naranjo & Montaña Jiménez-Espada & Francisco Manuel Martínez García & Rafael González-Escobar & Juan Pedro Cortés-Pérez, 2023. "Intercity Mobility Assessment Facing the Demographic Challenge: A Survey-Based Research," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    9. Thea Xenia Wiesli & Ulf Liebe & Thomas Hammer & Roger Bär, 2021. "Sustainable Quality of Life: A Conceptualization That Integrates the Views of Inhabitants of Swiss Rural Regions," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    10. Aurore Flipo & Madeleine Sallustio & Nathalie Ortar & Nicolas Senil, 2021. "Sustainable Mobility and the Institutional Lock-In: The Example of Rural France," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    11. Imhof, Sebastian & Blättler, Kevin, 2023. "Assessing spatial characteristics to predict DRT demand in rural Switzerland," Research in Transportation Economics, Elsevier, vol. 99(C).
    12. Miwa, Tomio & Wang, Jianbiao & Morikawa, Takayuki, 2023. "Are seniors in mountainous areas able to realize their desired trips? A novel approach to estimate trip demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).

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    More about this item

    Keywords

    Rural transport; Smart mobility; Shared mobility; Rural mobility; Mobility framework; Good practice;
    All these keywords.

    JEL classification:

    • H1 - Public Economics - - Structure and Scope of Government
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis

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