Activity graphs: Spatial graphs as a framework for quantifying individual mobility

Jed A. Long (), Jinhyung Lee and Darja Reuschke
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Jed A. Long: Western University
Jinhyung Lee: Western University
Darja Reuschke: University of Southampton

Journal of Geographical Systems, 2023, vol. 25, issue 3, No 5, 377-402

Abstract: Abstract Human mobility is poorly captured by existing methods which employ simple measures to quantify human mobility patterns. This paper develops spatial graph-based methods to quantify patterns of human mobility—termed activity graphs. Activity graphs are constructed with anchors representing activity locations and edges connecting anchors representing movement between anchors. We first perform a factor analysis to identify four primary dimensions of mobility that can be derived from activity graphs: quantity, extent, connectedness, and clustering. A case study with GPS tracking data from a sample of UK-based workers is then used to demonstrate how activity graphs can be applied in practice and how new dimensions of mobility captured by activity graphs may lead to new insights about mobility behaviour. We provide several promising new areas for future work where activity graphs can be further extended to address increasingly sophisticated spatial questions around individual mobility. Our analysis fits within the time-geographic framework presented by Hägerstrand, and our results highlight opportunities for continued research motivated by issues emphasized by Hägerstrand in his seminal work.

Keywords: Mobility; GPS; Spatial graph; Network; Spatial analysis; Time geography (search for similar items in EconPapers)
JEL-codes: R40 R41 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10109-023-00405-0

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