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Title:

Network Measures of Polycentricity

Accession Number:

01698328

Record Type:

Component

Abstract:

A set of flow and network-based metrics for measuring metropolitan area polycentricity using Journey-To-Work data are presented. Polycentricity is most commonly measured by location-based metrics (e.g. employment density). While such activity-density based metrics are good indicators of the “centricity" of a location, they fail to capture the idea that a center is a center based on which other locations it is connected to in terms of flows of people in and out of these locations: this is inherently a network idea rather than a location idea. The paper proposes three new measures of polycentricity: (a) a trip-based centricity measure, (b) a density-based centricity measure, and, (c) an accessibility-based centricity measure. Using these measures, polycentricity is computed and the resulting hierarchies of centers empirically measured to test whether the size distributions of centers follow a Zipf-like or a Chirstaller-like distribution. Demonstrating these measures on data from the Greater Sydney region, it is shown that these network-based measures, especially accessibility based centrality, characterize polycentricity more robustly than the traditional location-based measures and provide unexpected insights into the connections between landuse, transport, and urban structure.

Supplemental Notes:

This paper was sponsored by TRB committee ABE30 Standing Committee on Transportation Issues in Major Cities.

Report/Paper Numbers:

19-01399

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Sarkar, Somwrita
Wu, Hao
Levinson, David

Pagination:

17p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Geographic Terms:

Subject Areas:

Planning and Forecasting; Transportation (General)

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-01399

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:52AM