Built environment and travel behavior: Validation and application of a continuous-treatment propensity score stratification method
This article discusses the validation and implementation of a propensity score approach with continuous treatment to test the existence of a causal relationship between the built environment and travel behavior using cross-sectional data. The implemented methodology differs from previous application...
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University of Minnesota
2017-08-01
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Online Access: | https://www.jtlu.org/index.php/jtlu/article/view/890 |
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doaj-c4b1a7d4893e4d818811196f8a8997532021-08-31T04:37:35ZengUniversity of MinnesotaJournal of Transport and Land Use1938-78492017-08-0110110.5198/jtlu.2017.890278Built environment and travel behavior: Validation and application of a continuous-treatment propensity score stratification methodGiancarlos Troncoso Parady0Kiyoshi Takami1Noboru Harata2Department of Urban Engineering, School of Engineering, The University of TokyoUniversity of TokyoUniversity of TokyoThis article discusses the validation and implementation of a propensity score approach with continuous treatment to test the existence of a causal relationship between the built environment and travel behavior using cross-sectional data. The implemented methodology differs from previous applications in the planning literature in that it relaxes the binary treatment assumption, which polarizes the built environment into two extremes (e.g., urban vs suburban). The effectiveness of the proposed methodology in reducing bias was validated via Monte Carlo simulation. The proposed approach was shown to reduce self-selection bias against Ordinary Least Squares (OLS) regression in all but extreme levels of non-linearity. Empirical results suggest that an increase in urbanization has a negative effect on home-based maintenance car trip frequencies, and conversely, a positive effect on home-based maintenance non-motorized trip frequencies. Result estimates suggest the existence of a causal mode substitution mechanism between car and non-motorized modes given increases in the urbanization level at residential locations, thus providing some empirical support to the arguments put forth by compact city advocates.https://www.jtlu.org/index.php/jtlu/article/view/890Travel behaviorBuilt EnvironmentResidential Self-selectionLand use |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Giancarlos Troncoso Parady Kiyoshi Takami Noboru Harata |
spellingShingle |
Giancarlos Troncoso Parady Kiyoshi Takami Noboru Harata Built environment and travel behavior: Validation and application of a continuous-treatment propensity score stratification method Journal of Transport and Land Use Travel behavior Built Environment Residential Self-selection Land use |
author_facet |
Giancarlos Troncoso Parady Kiyoshi Takami Noboru Harata |
author_sort |
Giancarlos Troncoso Parady |
title |
Built environment and travel behavior: Validation and application of a continuous-treatment propensity score stratification method |
title_short |
Built environment and travel behavior: Validation and application of a continuous-treatment propensity score stratification method |
title_full |
Built environment and travel behavior: Validation and application of a continuous-treatment propensity score stratification method |
title_fullStr |
Built environment and travel behavior: Validation and application of a continuous-treatment propensity score stratification method |
title_full_unstemmed |
Built environment and travel behavior: Validation and application of a continuous-treatment propensity score stratification method |
title_sort |
built environment and travel behavior: validation and application of a continuous-treatment propensity score stratification method |
publisher |
University of Minnesota |
series |
Journal of Transport and Land Use |
issn |
1938-7849 |
publishDate |
2017-08-01 |
description |
This article discusses the validation and implementation of a propensity score approach with continuous treatment to test the existence of a causal relationship between the built environment and travel behavior using cross-sectional data. The implemented methodology differs from previous applications in the planning literature in that it relaxes the binary treatment assumption, which polarizes the built environment into two extremes (e.g., urban vs suburban). The effectiveness of the proposed methodology in reducing bias was validated via Monte Carlo simulation. The proposed approach was shown to reduce self-selection bias against Ordinary Least Squares (OLS) regression in all but extreme levels of non-linearity. Empirical results suggest that an increase in urbanization has a negative effect on home-based maintenance car trip frequencies, and conversely, a positive effect on home-based maintenance non-motorized trip frequencies. Result estimates suggest the existence of a causal mode substitution mechanism between car and non-motorized modes given increases in the urbanization level at residential locations, thus providing some empirical support to the arguments put forth by compact city advocates. |
topic |
Travel behavior Built Environment Residential Self-selection Land use |
url |
https://www.jtlu.org/index.php/jtlu/article/view/890 |
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