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Erschienen in: Journal of Geographical Systems 3/2023

24.02.2023 | Original Article

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

verfasst von: Jed A. Long, Jinhyung Lee, Darja Reuschke

Erschienen in: Journal of Geographical Systems | Ausgabe 3/2023

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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.

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Metadaten
Titel
Activity graphs: Spatial graphs as a framework for quantifying individual mobility
verfasst von
Jed A. Long
Jinhyung Lee
Darja Reuschke
Publikationsdatum
24.02.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Geographical Systems / Ausgabe 3/2023
Print ISSN: 1435-5930
Elektronische ISSN: 1435-5949
DOI
https://doi.org/10.1007/s10109-023-00405-0

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