Equity in Accessibility to Opportunities: Insights, Measures, and Solutions based on Mobile Device Location Data

This report summarizes the study of accessibility to opportunities among different population groups and neighborhoods in Baltimore City. The study is the first of its kind in utilizing observed multimodal mobile device location data from individual devices to systematically study accessibility to opportunities. Passively collected mobile device location data used in this study reveal day-to-day travel patterns of more than 25% of the U.S. population for an entire year across the nation. To showcase the application of this data, the authors selected the Baltimore city as the testbed. This new data source with very high sampling rates, combined with point of interest data and census data, allows the authors to analyze how residents in each neighborhood travel to work or seek their essential needs such as food and healthcare. The study introduces a data-driven accessibility measure based on the observed location data, which can also be calculated using individual-level outputs of a typical activity-based model. Research findings directly identify accessibility gaps among neighborhoods. In addition to the above, accessibility and equity measures from mobile device location data are compared with traditional measures, and the comparison results are discussed. Furthermore, this study draws on information from the data-driven method to capture the differences in accessibility among different income groups.

• Record URL:
  https://www.morgan.edu/Documents/ACADEMICS/CENTERS/NTC/Accessibility%20Final%20Report.pdf
• 
• Summary URL:
  https://www.morgan.edu/school_of_engineering/research_centers/urban_mobility_and_equity_center/research/completed_research/equity_in_accessibility.html
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University of Maryland, College Park

  College Park, MD  United States  20742

  Urban Mobility & Equity Center

  Morgan State University
  Baltimore, MD  United States  21251

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Zhang, Lei
  • Shin, Hyeon-Shic
  • Ghader, Sepehr
  • Darzi, Aref
  • Zhao, Guangchen
  • Kabiri, Aliakbar
• Publication Date: 2021-3

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 24p

Subject/Index Terms

• TRT Terms: Accessibility; Equity; Income; Location data; Multimodal transportation; Neighborhoods; Travel patterns
• Geographic Terms: Baltimore (Maryland)
• Subject Areas: Data and Information Technology; Society; Transportation (General);

Filing Info

• Accession Number: 01770407
• Record Type: Publication
• Files: UTC, TRIS, ATRI, USDOT
• Created Date: Apr 23 2021 4:38PM