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Dryad

Data from: Addressing spatial mismatch in labor and transportation access with connected automated shuttles to meet the needs of low-income populations

Stathopoulos, Amanda1; Kang, Shuqing1

Published Jul 27, 2026 on Dryad. https://doi.org/10.5061/dryad.47d7wm3t1

Data files

Jul 27, 2026 version files 1.53 MB

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Abstract

This dataset provides census tract-level geospatial data developed to support transportation innovation analysis, accessibility assessment, and equity-focused planning. The dataset integrates publicly available housing, employment, transportation, and sociodemographic indicators from multiple sources into a unified spatial database. Variables include population and employment counts, demographic characteristics, household and income measures, housing attributes, transportation accessibility indicators, and other community-level metrics relevant to mobility and transportation planning. Data are organized as tabular records linked to census tracts, enabling spatial analysis and integration with geographic information systems (GIS).

The dataset was developed to support research conducted for the Center for Connected and Automated Transportation at the University of Michigan, including the project “Addressing Spatial Mismatch in Labor and Transportation Access with Connected Automated Shuttles to Meet the Needs of Low-Income Populations.” Potential applications include transportation planning, accessibility analysis, equity assessment, workforce access studies, automated mobility research, and policy evaluation. Because all information is derived from publicly available, aggregated data sources, the dataset contains no individual-level records or personally identifiable information and may be reused for research, planning, and educational purposes.