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Spatial data analytics of mobility with consumer data

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  • Birkin, Mark

Abstract

Consumer data arising from the interaction between customers and service providers are becoming ubiquitous. These data are appealing for research because they are frequently collected and quickly released; they cover a wide variety of attitudes, lifestyles and behavioural characteristics; and they are often dynamically replenished and longitudinal. It is demonstrated that consumer data can make important contributions to understanding problems in transport geography and in solving applied problems ranging from migration, infrastructure investment and retail service provision to commuting and individual mobility. However more effective exploitation of these data depends on the construction of bridges to allow greater freedom in the transfer of data from the commercial to the academic sector; it requires development of frameworks for privacy and ethics in the secondary use of personal data; and it is contingent on the emergence of effective strategies for the amelioration of selection bias which impairs the quality of many consumer data sources.

Suggested Citation

  • Birkin, Mark, 2019. "Spatial data analytics of mobility with consumer data," Journal of Transport Geography, Elsevier, vol. 76(C), pages 245-253.
    • Handle: RePEc:eee:jotrge:v:76:y:2019:i:c:p:245-253
    DOI: 10.1016/j.jtrangeo.2018.04.012
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    File URL: http://www.sciencedirect.com/science/article/pii/S0966692317300212
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    References listed on IDEAS

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    Cited by:

    1. Shaw, F. Atiyya & Wang, Xinyi & Mokhtarian, Patricia L. & Watkins, Kari E., 2021. "Supplementing transportation data sources with targeted marketing data: Applications, integration, and internal validation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 150-169.
    2. Rains, Tim & Longley, Paul, 2021. "The provenance of loyalty card data for urban and retail analytics," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    3. Ffion Carney, 2021. "Linking Loyalty Card Data to Public Transport Data to Explore Mobility and Social Exclusion in the Older Population," Sustainability, MDPI, vol. 13(11), pages 1-19, May.

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