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A framework for modern time geography: emphasizing diverse constraints on accessibility

Author

Listed:
  • Somayeh Dodge

    (University of California Santa Barbara)

  • Trisalyn A. Nelson

    (University of California Santa Barbara)

Abstract

Time geography is widely used by geographers as a model for understanding accessibility. Recent changes in how access is created, an increasing awareness of the need to better understand individual variability in access, and growing availability of detailed spatial and mobility data have created an opportunity to build more flexible time geography models. Our goal is to outline a research agenda for a modern time geography that allows new modes of access and a variety of data to flexibly represent the complexity of the relationship between time and access. A modern time geography is more able to nuance individual experience and creates a pathway for monitoring progress toward inclusion. We lean on the original work by Hägerstrand and the field of movement GIScience to develop both a framework and research roadmap that, if addressed, can enhance the flexibility of time geography to help ensure time geography will continue as a cornerstone of accessibility research. The proposed framework emphasizes the individual and differentiates access based on how individuals experience internal, external, and structural factors. To enhance nuanced representation of inclusion and exclusion, we propose research needs, focusing efforts on implementing flexible space–time constraints, inclusion of definitive variables, addressing mechanisms for representing and including relative variables, and addressing the need to link between individual and population scales of analysis. The accelerated digitalization of society, including availability of new forms of digital spatial data, combined with a focus on understanding how access varies across race, income, sexual identity, and physical limitations requires new consideration for how we include constraints in our studies of access. It is an exciting era for time geography and there are massive opportunities for all geographers to consider how to incorporate new realities and research priorities into time geography models, which have had a long tradition of supporting theory and implementation of accessibility research.

Suggested Citation

  • Somayeh Dodge & Trisalyn A. Nelson, 2023. "A framework for modern time geography: emphasizing diverse constraints on accessibility," Journal of Geographical Systems, Springer, vol. 25(3), pages 357-375, July.
    • Handle: RePEc:kap:jgeosy:v:25:y:2023:i:3:d:10.1007_s10109-023-00404-1
    DOI: 10.1007/s10109-023-00404-1
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    Cited by:

    1. Vanessa Brum-Bastos & Antonio Páez, 2023. "Hägerstrand meets big data: time-geography in the age of mobility analytics," Journal of Geographical Systems, Springer, vol. 25(3), pages 327-336, July.
    2. Daniela Arias-Molinares & Juan Carlos García-Palomares & Gustavo Romanillos & Javier Gutiérrez, 2023. "Uncovering spatiotemporal micromobility patterns through the lens of space–time cubes and GIS tools," Journal of Geographical Systems, Springer, vol. 25(3), pages 403-427, July.

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    More about this item

    Keywords

    Time geography; Mobility analytics; Big data; Social sensing; Geospatial data representativeness;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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