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Mobility deviation index: incorporating geographical context into analysis of human mobility

Author

Listed:
  • Milad Malekzadeh

    (Western University)

  • Jed A. Long

    (Western University)

Abstract

Many studies seek to study the relationship between socioeconomic factors and human mobility indicators. However, it is well documented that mobility levels are also driven by the geographical context where individual movement takes place. Here we test whether accounting for geographical context leads to new or different interpretations of human mobility behavior when studying associations with socioeconomic factors. Specifically, we define mobility deviation index as the relative level of observed mobility when compared to expected mobility for a specific location, where expected mobility accounts for geographical context. Our results highlight the significant role of context when interpreting spatial patterns of human mobility. We demonstrate that controlling for the effects of geographical context will substantially impact our interpretation of associations between measures of human mobility and socioeconomic variables. These results represent an important step in furthering our understanding of the role of place on human mobility patterns.

Suggested Citation

  • Milad Malekzadeh & Jed A. Long, 2024. "Mobility deviation index: incorporating geographical context into analysis of human mobility," Journal of Geographical Systems, Springer, vol. 26(3), pages 427-448, July.
    • Handle: RePEc:kap:jgeosy:v:26:y:2024:i:3:d:10.1007_s10109-024-00444-1
    DOI: 10.1007/s10109-024-00444-1
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    References listed on IDEAS

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    1. Xinwei Ma & Yanjie Ji & Yuchuan Jin & Jianbiao Wang & Mingjia He, 2018. "Modeling the Factors Influencing the Activity Spaces of Bikeshare around Metro Stations: A Spatial Regression Model," Sustainability, MDPI, vol. 10(11), pages 1-12, October.
    2. R W Vickerman, 1974. "Accessibility, Attraction, and Potential: A Review of Some Concepts and Their Use in Determining Mobility," Environment and Planning A, , vol. 6(6), pages 675-691, December.
    3. Robin Lovelace, 2021. "Open source tools for geographic analysis in transport planning," Journal of Geographical Systems, Springer, vol. 23(4), pages 547-578, October.
    4. Yang Xu & Shih-Lung Shaw & Ziliang Zhao & Ling Yin & Zhixiang Fang & Qingquan Li, 2015. "Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach," Transportation, Springer, vol. 42(4), pages 625-646, July.
    5. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    6. Katarzyna Sila-Nowicka & A. Stewart Fotheringham & Urška Demšar, 2023. "Activity triangles: a new approach to measure activity spaces," Journal of Geographical Systems, Springer, vol. 25(4), pages 489-517, October.
    7. Sabina Buczkowska & Nicolas Coulombel & Matthieu Lapparent, 2019. "A comparison of Euclidean Distance, Travel Times, and Network Distances in Location Choice Mixture Models," Networks and Spatial Economics, Springer, vol. 19(4), pages 1215-1248, December.
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    More about this item

    Keywords

    Expected mobility; Network mobility data; Radius of gyration;
    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
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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