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How sensitive are measures of polycentricity to the choice of ‘centres’? A methodological and empirical exploration

Bibliographic Data

ID21016347
AuthorsWeiyang Zhang (0000-0002-8002-3207, Center for Modern Chinese City Studies & The Future City Lab & School of Urban and Regional Science, East China Normal University, China; Ghent University, Belgium, corresponding author), Ben Derudder (0000-0001-6195-8544, Ghent University)
Year2019
Volume56
Issue16
Pages3339-3357
Publication date2019-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueUrban Studies (JOURNAL)
Journal identifiersISSN: 0042-0980 • E-ISSN: 1360-063X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0042098019843061
OpenAlexW2945788405
LanguageEN
Citations received33
References cited42

In the literature dealing with measuring ‘urban polycentricity’, relatively little attention has been paid to the identification of what constitutes an ‘urban centre’. In this paper, we assess the sensitivity of polycentricity measures to one particular aspect of this identification: using the case of ‘polycentric urban regions’, we empirically examine the sensitivity of the ‘level’ of polycentricity to the number of cities included in the analysis. Using a two-mode firm–city data source, we do so by stepwise measuring the polycentricity of the Yangtze River Delta (YRD) as cities are added to the analysis. This measurement of ‘stepwise polycentricity’ is benchmarked against an ideal typical urban system with a rank-size distribution. The results suggest that the measure of polycentricity is indeed highly sensitive to the choice of the number of cities, so that the alleged level of polycentricity is contingent on the choice of a cut-off point. We propose that the analysis of the sensitivity of polycentricity can help researchers to (1) investigate the different role of cities in shaping polycentric structures of urban regions, and (2) better identify mono- or polycentric structures of urban regions. Analyses of trends in the ‘stepwise polycentricity’ of the YRD and seven other urban regions along the Yangtze River Economic Belt serve to illustrate

Corporate governance · Economic geography · Economics · Geography · Identification (biology) · Polycentricity · Regional science · Ecology · Global Urban Networks and Dynamics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis

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Unique citing works33
Citations per year5,5
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 32

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