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Multiscale Complex Network Analysis of Commuting Efficiency

Urban Connectivity, Hierarchy, and Labor Market

Bibliographic Data

ID3207014
AuthorsYue Jing (University of Florida), Yujie Hu (0000-0001-5814-0805, University of Florida, corresponding author)
Year2024
Volume114
Issue8
Pages1681-1692
Publication date2024-09-13
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAnnals of the American Association of Geographers (JOURNAL)
Journal identifiersISSN: 2469-4452 • E-ISSN: 2469-4460
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/24694452.2023.2284296
OpenAlexW4391089608
LanguageEN
Citations received6
References cited28

This study employs the 2012 to 2016 commuting flows of Florida to reexamine excess commuting (EC) through multiscale complex network analysis. The results reveal significant discrepancies in urban connectivity, hierarchy, and labor market geography between the actual (ACN) and optimal commuting networks (OCN). Compared to ACN, OCN illustrates an overly simplified and isolated polycentric commuting system. This is evident through reduced overall network connectivity, a restructured centrality distribution pattern, and fragmented community divisions. Consequently, these results underscore the importance of delving into the economic implications of commuting within the conventional EC framework

Centrality · Complex network · Econometrics · Economic geography · Economics · Geography · Hierarchy · Network analysis · Population · Sociology · Statistics · Urban hierarchy · Computer Science · Demography · Engineering · Human Mobility and Location-Based Analysis · Mathematics · Transportation Planning and Optimization · Urban Transport and Accessibility

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Unique citing works6
Citations per year3
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 5

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