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SPATIAL ANALYSIS OF URBAN BUILT ENVIRONMENTS
AND VEHICLE TRANSIT BEHAVIOR
by
Daniel Currie Eisman
A Thesis Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
MASTER OF SCIENCE
(GEOGRAPHIC INFORMATION SCIENCE AND TECHNOLOGY)
August 2012
Copyright 2012 Daniel Currie Eisman
Object Description
| Title | Spatial analysis of urban built environments and vehicle transit behavior |
| Author | Eisman, Daniel Currie |
| Author email | deisman1@gmail.com;deisman1@gmail.com |
| Degree | Master of Science |
| Document type | Thesis |
| Degree program | Geographic Information Science and Technology |
| School | College of Letters, Arts And Sciences |
| Date defended/completed | 2012-05-18 |
| Date submitted | 2012-07-06 |
| Date approved | 2012-07-06 |
| Restricted until | 2012-07-06 |
| Date published | 2012-07-06 |
| Advisor (committee chair) | Vos, Robert |
| Advisor (committee member) |
Oda, Katsuhiko Warshawsky, Daniel |
| Abstract | In an effort to explore smart growth principles, this study offers an empirical test of the influence of the built environment at the neighborhood scale on vehicle transit behavior. Using U.S. Census data combined with spatial analysis techniques, the study conducts a cross-sectional analysis of the effect of the built environment on household automobile ownership and vehicles miles traveled (VMTs) in 75 block groups across five metropolitan statistical areas. Variables are measured for density, job and retail access, transit accessibility, and street connectivity. The study also considers confounding variables including household income, regional density, extent of regional transit network, age of neighborhood population, and individual transit expenditure. From these data, best-fit regression models are developed for VMTs and automobile ownership. Although there is significant unexplained variation, the regression models confirm a statistically significant association of VMTs and automobile ownership with the built environment. Among the implications of these findings are that (1) neighborhood density should be encouraged in areas well-served by transit, (2) transit and smart-growth projects will have a greater impact on VMTs in regions that have robust, existing transit systems, and (3) new transit projects will likely be most effective in reducing vehicle ownership if planners focus on better serving moderate and low-income neighborhoods. Future research should examine statistical associations longitudinally, based on updated data from the 2010 U.S. Census, and should attempt to gather primary data on VMTs at the household and neighborhood scales. |
| Keyword | built environments; vehicle transit; spatial analysis; GIS; vehicle miles traveled; automobile ownership |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Contributing entity | University of Southern California |
| Rights | Eisman, Daniel Currie |
| Access conditions | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@usc.edu |
| Archival file | uscthesesreloadpub_Volume4/etd-EismanDani-918.pdf |
Description
| Title | Page 1 |
| Contributing entity | University of Southern California |
| Full text | SPATIAL ANALYSIS OF URBAN BUILT ENVIRONMENTS AND VEHICLE TRANSIT BEHAVIOR by Daniel Currie Eisman A Thesis Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE (GEOGRAPHIC INFORMATION SCIENCE AND TECHNOLOGY) August 2012 Copyright 2012 Daniel Currie Eisman |
