Authors: Perry Carter*, Texas Tech University
Topics: Spatial Analysis & Modeling, Gender, Economic Geography
Keywords: gender, travel-to-work, commuting, transportation, labor
Session Type: Paper
Start / End Time: 2:35 PM / 4:15 PM
Room: Harding, Marriott, Mezzanine Level
Presentation File: No File Uploaded
The journey to work has long been an object of study for transportation and economic geographers. It has also been an object of study for feminist geographers who have been interested in the differing travel distances and travel times to work between women and men. The presumption underlying this gendered difference in travel times is that women are more closely tether to their homes than men due to greater demands on their time in the performance of household tasks and childcare. This project contributes to these fields of geographic study by examining travel times to work for a sample of women and men in the Dallas-Forth Worth SMSA. The data for this project comes from the U.S. Census’s 2014 Public Use Microdata Sample (PUMS) via IPUMS USA. The dataset is composed of more than 140,000 sampled commuters with in the DFW SMSA. The analyses in this study includes traditional methods such as multiple regression analysis, as well as, newer machine learning techniques such as random forest. The findings of this work suggest that the difference between the travel times of female and male workers is both a function of the gendered nature of work inside the home as well as the gendered nature of work outside of the home.