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Looking beyond the mean for equity analysis: Examining distributional impacts of transportation improvements
AbstractActivity-based travel demand models can be useful tools for understanding the individual level equity impacts of transportation plans, because of their ability to generate disaggregate transportation measures. However, these capabilities have yet to be fully explored in public practice. In this paper we first discuss a general framework for performing transportation equity analysis using activity-based travel demand models, distributional comparisons, and incorporating equity standards. In addition, we demonstrate the advantages of distributional comparisons, relative to average measures. This demonstration uses the 2000 Bay Area Travel Survey and (activity-based) mode choice model. The findings show that distributional comparisons are capable of clearly revealing the winners and losers that result from transportation improvements, in comparison with average measures. The use of these results will likely result in different conclusions on transportation investments.
HighlightsA new operational approach for Transportation equity analysis is proposed.Approach relies on activity-based Travel demand models and distributional comparions.This study details the benefits gained from applying distributional comparisons.
Looking beyond the mean for equity analysis: Examining distributional impacts of transportation improvements
AbstractActivity-based travel demand models can be useful tools for understanding the individual level equity impacts of transportation plans, because of their ability to generate disaggregate transportation measures. However, these capabilities have yet to be fully explored in public practice. In this paper we first discuss a general framework for performing transportation equity analysis using activity-based travel demand models, distributional comparisons, and incorporating equity standards. In addition, we demonstrate the advantages of distributional comparisons, relative to average measures. This demonstration uses the 2000 Bay Area Travel Survey and (activity-based) mode choice model. The findings show that distributional comparisons are capable of clearly revealing the winners and losers that result from transportation improvements, in comparison with average measures. The use of these results will likely result in different conclusions on transportation investments.
HighlightsA new operational approach for Transportation equity analysis is proposed.Approach relies on activity-based Travel demand models and distributional comparions.This study details the benefits gained from applying distributional comparisons.
Looking beyond the mean for equity analysis: Examining distributional impacts of transportation improvements
Bills, Tierra S. (author) / Walker, Joan L. (author)
Transport Policy ; 54 ; 61-69
2016-08-11
9 pages
Article (Journal)
Electronic Resource
English
Social and psychological impacts of transportation improvements
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