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Title:

Exploratory Analysis of Spatial Hierarchical Clustering in Los Angeles County, California: Relationship of Opportunity-Based Accessibility, Reported Land Values, and Resident Characteristics

Accession Number:

01371026

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/168505.aspx

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Order URL: http://worldcat.org/isbn/9780309263047

Abstract:

The phenomenon of agglomeration has long been recognized as an important component in businesses and their location decisions. A similar phenomenon may also exist in resident location of the population in an urban area. This concept may also emerge from residential segregation and ethnic enclaves. Residential segregation may be influenced by location characteristics, social composition, and accessibility. This paper uses spatial clustering indicators that comprise resident population and its characteristics, infrastructure provision, activity opportunities by opportunity type, housing supply, and synoptic measures of travel. Time of day is introduced as a fundamental unit in classifying the spatial units. Classification of spatial units is accomplished first with a cluster technique that accounts for spatial dependence in opportunity-based accessibility indicators for different variables considered individually. Normalized scores for each variable and all spatial units are then used to derive a second set of clusters using multiple variables to build a group of clusters of spatial units. The characteristics of the residents in each spatial unit are examined for the Los Angeles County region of California with a sample of approximately 6,000 geolocated households with corresponding data on their residences along with detailed location characteristics. Residents of these clusters share similarity in their characteristics, and this analysis provides an example not only of a new way to use spatial clustering to understand location choices of households but also a way to alleviate the problem of dimensionality in choice set identification.

Monograph Title:

Planning 2012

Monograph Accession #:

01470884

Report/Paper Numbers:

12-1297

Language:

English

Authors:

Ravulaparthy, Srinath
Dalal, Pamela
Chen, Yali
Goulias, Konstadinos G

Pagination:

pp 132–140

Publication Date:

2012

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2307
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309263047

Media Type:

Print

Features:

Figures; Maps; References; Tables

Uncontrolled Terms:

Subject Areas:

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Feb 8 2012 5:01PM

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