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Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System

Author

Listed:
  • Ivana Semanjski

    (Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium)

  • Rik Bellens

    (Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium)

  • Sidharta Gautama

    (Department of Telecommunications and Information Processing, Ghent University, 9000 Ghent, Belgium)

  • Frank Witlox

    (Department of Geography, Ghent University, 9000 Gent, Belgium
    Department of Geography, University of Tartu, 51014 Tartu, Estonia)

Abstract

It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital content through our mobile phone and social networks activities, bank card payments, location-based positioning information, online activities, etc. However, the implementation of these large data amounts in city assets planning systems still remains a rather abstract idea for several reasons, including the fact that practical examples are still very strongly services-oriented, and are a largely unexplored and interdisciplinary field; hence, missing the cross-cutting dimension. In this paper, we describe the Policy 2.0 concept and integrate user generated content into Policy 2.0 platform for sustainable mobility planning. By means of a real-life example, we demonstrate the applicability of such a big data integration approach to smart cities planning process. Observed benefits range from improved timeliness of the data and reduced duration of the planning cycle to more informed and agile decision making, on both the citizens and the city planners end. The integration of big data into the planning process, at this stage, does not have uniform impact across all levels of decision making and planning process, therefore it should be performed gradually and with full awareness of existing limitations.

Suggested Citation

  • Ivana Semanjski & Rik Bellens & Sidharta Gautama & Frank Witlox, 2016. "Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System," Sustainability, MDPI, vol. 8(11), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:11:p:1142-:d:82277
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    References listed on IDEAS

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    Cited by:

    1. Md Altab Hossin & Jie Du & Lei Mu & Isaac Owusu Asante, 2023. "Big Data-Driven Public Policy Decisions: Transformation Toward Smart Governance," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Shengrun Zhang & Frank Witlox, 2019. "Analyzing the Impact of Different Transport Governance Strategies on Climate Change," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    3. Marko Šoštarić & Krešimir Vidović & Marijan Jakovljević & Orsat Lale, 2021. "Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    4. Paul Baustert & Tomás Navarrete Gutiérrez & Thomas Gibon & Laurent Chion & Tai-Yu Ma & Gabriel Leite Mariante & Sylvain Klein & Philippe Gerber & Enrico Benetto, 2019. "Coupling Activity-Based Modeling and Life Cycle Assessment—A Proof-of-Concept Study on Cross-Border Commuting in Luxembourg," Sustainability, MDPI, vol. 11(15), pages 1-24, July.
    5. Tom Storme & Corneel Casier & Hossein Azadi & Frank Witlox, 2021. "Impact Assessments of New Mobility Services: A Critical Review," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    6. Sungwook Lee & Do-Hyung Park, 2019. "Community Attachment Formation and Its Influence on Sustainable Participation in a Digitalized Community: Focusing on Content and Social Capital of an Online Community," Sustainability, MDPI, vol. 11(10), pages 1-15, May.

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