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PETRA: Governance as a key success factor for big data solutions in mobility

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  • Veeneman, Wijnand
  • van der Voort, Haiko
  • Hirschhorn, Fabio
  • Steenhuisen, Bauke
  • Klievink, Bram

Abstract

The promise of big data in the field of mobility is great, for example for mobility-as-a-service solutions. Having a better sense of the existing flows over the network would allow for much improved modelling of future flows and nudging users into behaviours targeting collectively better outcomes. Because of this promise the interest that cities have in big data for mobility is high. They are looking for ways in which a mobility data platform gathers the relevant data, allow for advanced modelling of current and future network states, and ways to drive travel behaviour. We participated in the EU funded PETRA project that built such a platform for the cities of Haifa, Rome and Venice. In this paper, we are looking for key governance mechanisms that affect the success of mobility data platforms, and how they are related to technical features. The project and an additional study into 10 cases revealed that the more ambitious a platform is on a technical level, the more governance challenges they will encounter, thus the more advanced governance arrangements are necessary. However, many governance arrangements are a given rather than a subject to design. This implies that for success, the technical ambition of the platform should be aligned with the institutions of the city in which the platforms will be implemented.

Suggested Citation

  • Veeneman, Wijnand & van der Voort, Haiko & Hirschhorn, Fabio & Steenhuisen, Bauke & Klievink, Bram, 2018. "PETRA: Governance as a key success factor for big data solutions in mobility," Research in Transportation Economics, Elsevier, vol. 69(C), pages 420-429.
    • Handle: RePEc:eee:retrec:v:69:y:2018:i:c:p:420-429
    DOI: 10.1016/j.retrec.2018.07.003
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    References listed on IDEAS

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    1. Caragliu, A. & Del Bo, C. & Nijkamp, P., 2009. "Smart cities in Europe," Serie Research Memoranda 0048, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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    Cited by:

    1. Qiuchen, Wang & Jannicke, Hauge Baalsrud & Sebastiaan, Meijer, 2022. "The complexity of stakeholder influence on MaaS: A study on multi-stakeholder perspectives in Shenzhen self-driving mini-bus case," Research in Transportation Economics, Elsevier, vol. 94(C).
    2. Marc Schabka & Aurelia Kammerhofer & Valerie Batiajew & Maria Juschten, 2022. "Driving Forces and Barriers for the Implementation of Mobility Services in Austria—A Practitioner Perspective," Sustainability, MDPI, vol. 14(18), pages 1-26, September.
    3. Smith, Göran & Theseira, Walter, 2020. "Workshop 5 report: How much regulation should disruptive transport technologies be subject to?," Research in Transportation Economics, Elsevier, vol. 83(C).
    4. Daozhi Zhao & Di Wang, 2019. "The Research of Tripartite Collaborative Governance on Disorderly Parking of Shared Bicycles Based on the Theory of Planned Behavior and Motivation Theories—A Case of Beijing, China," Sustainability, MDPI, vol. 11(19), pages 1-21, September.

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    More about this item

    Keywords

    Governance-mobility; Data platforms; Big data; Smart cities; Institutions;
    All these keywords.

    JEL classification:

    • H4 - Public Economics - - Publicly Provided Goods
    • K3 - Law and Economics - - Other Substantive Areas of Law
    • 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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