First Advisor

Kelly Clifton

Date of Award

Fall 2020

Document Type


Degree Name

Master of Science (M.S.) in Civil & Environmental Engineering


Civil and Environmental Engineering




Urban transportation -- Planning, Urban transportation policy -- Social aspects, Social justice




The United States is a megadiverse nation with a transportation system that, for decades, was designed to serve primarily able-bodied, white, male motorists. This legacy creates a situation in which varying socio-demographic groups experience the transportation system differently with contrasting safety, accessibility, and convenience outcomes. This project introduces descriptive statistics and binary logistic models that provide transportation professionals and policy makers with a quantitative understanding on how, why, and when certain socio-demographic groups are more likely to engage in a trip. This project provides tools to measure and understand the equity implications of a wide array of transportation policy decisions.

The binary logistic models presented predict the likelihood of a trip maker engaging on a weekday trip at a given time of day based on their race and ethnicity, gender, income level, preferred mode of transportation, age, and the purpose of their trip. In some instances, the interactions among these parameters were explored too. The models and descriptive statistics are based on the 2017 National Household Travel Survey data which includes over 900,000 datapoints and is weighted to adequately represent every socio-demographic group present in the U.S.


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A research project submitted in partial fulfillment of the requirement for the degree of Master of Science in Civil and Environmental Engineering.

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