Highly Transportation Disadvantaged Areas Indianapolis [supporting dataset]

This file contains areas designated as highly transportation disadvantaged in Indianapolis. These two areas were outlined using three different measures and publicly available data. The methodology is replicable and can be used in other cities.

• Record URL:
  http://dx.doi.org/10.5703/1288284317568
• Dataset URL:
  https://doi.org/10.4231/12HS-8G97
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. The dataset supports report: Public Acceptance and Socio-Economic Analysis of Shared Autonomous Vehicles: Implications for Policy and Planning, available at the URL above.
• Corporate Authors:

  Purdue University

  West Lafayette, IN  United States  47907-2051

  Center for Connected and Automated Transportation

  University of Michigan Transportation Research Institute
  Ann Arbor, MI  United States  48109

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Losada-Rojas, Lisa Lorena
  • 0000-0002-7221-4900
  • Gkartzonikas, Christos
  • 0000-0001-6579-9106
  • Candanedo, Raul F Elizondo
  • 0000-0002-9520-932X
  • Gkritza, Konstantina
  • 0000-0002-6598-4771
• Publication Date: 2022-8-10

Language

• English

Media Info

• Media Type: Dataset
• Dataset: Version: 1.0 Integrity Hash:
• Dataset publisher:

  Purdue University Research Repository

  West Lafayette, IN  United States 

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Data; Geographic information systems; Transportation disadvantaged persons
• Geographic Terms: Indianapolis (Indiana)
• Subject Areas: Data and Information Technology; Society; Transportation (General); Vehicles and Equipment;

Filing Info

• Accession Number: 01875842
• Record Type: Publication
• Contract Numbers: 69A3551747105
• Files: UTC, TRIS, ATRI, USDOT
• Created Date: Mar 20 2023 9:35AM