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Title:

Measuring Segregation Using Patterns of Daily Travel Behavior: A Social Interaction-Based Model of Exposure

Accession Number:

01588001

Record Type:

Component

Abstract:

Recent advances in transportation geography demonstrate the ability to compute a metropolitan scale metric of social interaction opportunities based on the time-geographic concept of joint accessibility. The method the authors put forward in this article decomposes the Social Interaction Potential (SIP) metric into interactions within and between social groups, such as people of different racial origin, income level, and occupation. This provides a novel metric of exposure, one of the fundamental spatial dimensions of segregation. In particular, the SIP metric is disaggregated into measures of inter-group and intra-group exposure. While activity spaces have been used to measure exposure in the geographic literature, these approaches, however, do not adequately represent the dynamic nature of the target populations. The authors make the next step by representing both the source and target population groups by space-time prisms, thus more accurately representing spatial and temporal dynamics and constraints. Additionally, decomposition of the SIP metric means that each of the group-wise components of the SIP metric can be represented at zones of residence, workplace, and specific origin-destination pairs. Consequently, the spatial variation in segregation can be explored and hotspots of segregation and integration potential can be identified. The proposed approach is demonstrated for synthetic cities with different population distributions and daily commute flow characteristics, as well as for a case study of the Detroit-Warren-Livonia MSA.

Supplemental Notes:

This paper was sponsored by TRB committee ADD00 Section - Social, Economic, and Cultural Issues. Alternate title: Measuring Segregation Using Patterns of Daily Travel Behavior: Social Interaction-Based Model of Exposure.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-0151

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Farber, Steven
O’Kelly, Morton
Miller, Harvey J
Neutens, Tijs

Pagination:

20p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Uncontrolled Terms:

Exposure data; Social interaction

Geographic Terms:

Detroit (Michigan)

Subject Areas:

Planning and Forecasting; Society; Transportation (General); I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-0151

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 4:18PM