Neighborhood Attributes and Commuting Behavior: Transit Choice

Gordon, Peter; Lee, Bumsoo; Moore, James E., II; Richardson, Harry W.; Williamson, Christopher

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Neighborhood Attributes and Commuting Behavior: Transit Choice

2004-10-01
By Gordon, Peter ; Lee, Bumsoo ; Moore, James E., II

File Language:

English

Details

Creators:

Gordon, Peter ; Lee, Bumsoo ; Moore, James E., II ; Richardson, Harry W. ; Williamson, Christopher
Corporate Creators:

METRANS Transportation Center (Calif.) ; University of Southern California. School of Policy, Planning, and Development ; California. Dept. of Transportation. Division of Research and Innovation
Corporate Contributors:

United States. Department of Transportation. Research and Special Programs Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA/CA/OR-2005/04;03-20-2004-6
Resource Type:

Research Paper
Geographical Coverage:

California
Corporate Publisher:

METRANS Transportation Center (Calif.)
Abstract:

Neighborhood type matters when we try to explain variations in public transit commuting. We found this statistical link over a sample of all census tracts in the four largest California metro areas. In this research, we used statistical cluster analysis to identify twenty generic neighborhood types. The variables used in the analysis included broad indicators of location and population density, street design, transit access and highway access. Once identified, the denser neighborhoods had higher transit use, other things equal. Yet, what distinguishes the research is that we did not use a simple density measure to differentiate neighborhoods. Rather, density was an important ingredient of our neighborhood-type definition -- which surpassed simple density in explanatory power.
Format:

PDF
Funding:

65A0047;METRANS Project 03-20
Download URL:

https://rosap.ntl.bts.gov/view/dot/57477/dot_57477_DS1.pdf
File Type:

[PDF - 1.40 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:3c66ae092b5733a176777efca6decee91468647124c9adc1e70898e2bd96d9224173aeeca15a4e83694e15e4501dd5bcfabd848c9a7f34d29111a48fc489278d

File Language:

English

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