Data for Quantifying transportation energy vulnerability and its spatial patterns in the United States.
Citation:
Liu, Shanshan; Kontou, Eleftheria (2022): Data for Quantifying transportation energy vulnerability and its spatial patterns in the United States.. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9337369_V2
Persistent link for this dataset:
Related Article [Liu, S., & Kontou, E. (2022). Quantifying transportation energy vulnerability and its spatial patterns in the United States. Sustainable Cities and Society, 103805.]
Dataset Description

This data set contains all the map data used for "Quantifying transportation energy vulnerability and its spatial patterns in the United States". The multiple dimensions (i.e., exposure, sensitivity, adaptive capacity) of transportation energy vulnerability (TEV) at the census tract level in the United States, the changes in TEV with electric vehicles adoption, and the detailed data for Chicago, Los Angeles, and New York are in the dataset.
Subject Physical Sciences
Keywords Transport energy; Vulnerability; Fuel costs; Electric vehicles
License CC BY
Funder Illinois Department of Transportation (IDOT)
Funder UIUC Center for Social and Behavioral Science
Corresponding Creator Eleftheria Kontou
Downloaded 48 times
Version DOI Comment Publication Date
2 10.13012/B2IDB-9337369_V2 Updated the data files and Readme 2022-04-11
1 10.13012/B2IDB-9337369_V1 2022-04-06
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