Measuring polycentricity via network flows, spatial interaction and percolation/ (Record no. 13367)
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control field | 20221014173103.0 |
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100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Sarkar, Somwrita |
245 ## - TITLE STATEMENT | |
Title | Measuring polycentricity via network flows, spatial interaction and percolation/ |
Statement of responsibility | Somwrita Sarkar |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc | London: |
Name of publisher, distributor, etc | Sage, |
Date of publication, distribution, etc | 2020. |
300 ## - PHYSICAL DESCRIPTION | |
Pages | vol 57, issue 12, 2020: (2402–2422 p.) |
520 ## - SUMMARY, ETC. | |
Summary, etc | Polycentricity, or the number of central urban places, is commonly measured by location-based metrics (e.g. employment density/total number of workers, above a threshold). While these metrics are good indicators of location ‘centricity’, results are sensitive to threshold choice. We consider the alternative idea that a centre’s status depends on its connectivity to other locations through trip inflows/outflows: this is inherently a network rather than place idea. Three flow and network-based centricity metrics for measuring metropolitan area polycentricity using journey-to-work data are presented: (a) trip-based; (b) density-based; and (c) accessibility-based. Using these measures, polycentricity is computed and rank-centricity distributions are plotted to test Zipf-like or Christaller-like behaviours. Further, a percolation theory framework is proposed for the full origin–destination matrix, where trip flows are used as a thresholding parameter to count the number of sub-centres. Trip flows prove to be an effective measure to count and hierarchically organise metropolitan areas and sub-centres, tackling the arbitrariness of defining any threshold on employment statistics to count sub-centres. Applications on data from the Greater Sydney region show that the proposed framework helps to characterise polycentricity and sub-regional organisation more robustly, and provide unexpected insights into the connections between land use, labour market organisation, transport and urban structure. |
700 ## - Added Entry Personal Name | |
Added Entry Personal Name | Wu, Hao |
700 ## - Added Entry Personal Name | |
Added Entry Personal Name | Levinson, David M |
773 0# - HOST ITEM ENTRY | |
Host Biblionumber | 8843 |
Host Itemnumber | 16581 |
Place, publisher, and date of publication | London Sage Publications Ltd. 1964 |
Title | Urban studies |
International Standard Serial Number | 0042-0980 |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1177/0042098019832517 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Articles |
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700 ## - Added Entry Personal Name | |
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942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
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