Measuring polycentricity via network flows, spatial interaction and percolation/ (Record no. 13367)

MARC details
000 -LEADER
fixed length control field 02208nab a2200205 4500
005 - DATE & TIME
control field 20221014173103.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221014b |||||||| |||| 00| 0 eng d
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
100 ## - MAIN ENTRY--PERSONAL NAME
-- 54018
700 ## - Added Entry Personal Name
-- 54019
700 ## - Added Entry Personal Name
-- 54020
942 ## - ADDED ENTRY ELEMENTS (KOHA)
-- ddc

No items available.

Library, SPA Bhopal, Neelbad Road, Bhauri, Bhopal By-pass, Bhopal - 462 030 (India)
Ph No.: +91 - 755 - 2526805 | E-mail: [email protected]

OPAC best viewed in Mozilla Browser in 1366X768 Resolution.
Free counter