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Mobile Phone Data for Urban Climate Change Adaptation: Reviewing Applications, Opportunities and Key Challenges

Author

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  • Sébastien Dujardin

    (Geography Department, University of Namur, Rue de Bruxelles, 61, 5000 Namur, Belgium)

  • Damien Jacques

    (Dalberg Data Insights, Place du Champ de Mars 5, 1050 Brussel, Belgium)

  • Jessica Steele

    (Geography and Environmental Sciences, University of Southampton, University Road, Building 44, Southampton SO17 1BJ, UK
    The Flowminder Foundation, Roslagsgatan 17, SE-11355 Stockholm, Sweden)

  • Catherine Linard

    (Geography Department, University of Namur, Rue de Bruxelles, 61, 5000 Namur, Belgium)

Abstract

Climate change places cities at increasing risk and poses a serious challenge for adaptation. As a response, novel sources of data combined with data-driven logics and advanced spatial modelling techniques have the potential for transformative change in the role of information in urban planning. However, little practical guidance exists on the potential opportunities offered by mobile phone data for enhancing adaptive capacities in urban areas. Building upon a review of spatial studies mobilizing mobile phone data, this paper explores the opportunities offered by such digital information for providing spatially-explicit assessments of urban vulnerability, and shows the ways these can help developing more dynamic strategies and tools for urban planning and disaster risk management. Finally, building upon the limitations of mobile phone data analysis, it discusses the key urban governance challenges that need to be addressed for supporting the emergence of transformative change in current planning frameworks.

Suggested Citation

  • Sébastien Dujardin & Damien Jacques & Jessica Steele & Catherine Linard, 2020. "Mobile Phone Data for Urban Climate Change Adaptation: Reviewing Applications, Opportunities and Key Challenges," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1501-:d:321829
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    References listed on IDEAS

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    Cited by:

    1. Kwang-Sub Lee & Jin Ki Eom & Jun Lee & Sangpil Ko, 2021. "Analysis of the Activity and Travel Patterns of the Elderly Using Mobile Phone-Based Hourly Locational Trajectory Data: Case Study of Gangnam, Korea," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    2. Gutiérrez, Antonio, 2022. "Movilidad urbana y datos de alta frecuencia [Urban mobility and high frequency data]," MPRA Paper 114854, University Library of Munich, Germany.

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