Electric Vehicle Charging Gap Analysis: Summary Memo and Instructions for Automated Tool

Breck, Andrew; Aiello, Allison; Gilmore, Michelle M.; Baker, Gary; Costa, Stephen

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Electric Vehicle Charging Gap Analysis: Summary Memo and Instructions for Automated Tool

2019-10-15
By Breck, Andrew ; Aiello, Allison ; Gilmore, Michelle M.

File Language:

English

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Creators:

Breck, Andrew ; Aiello, Allison ; Gilmore, Michelle M. ; Baker, Gary ; Costa, Stephen
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Corporate Contributors:

United States. National Park Service. Park Facility Management Division
Subject/TRT Terms:
Publication/ Report Number:

DOT-VNTSC-NPS-20-01;999/165288
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final report; 2017- 2019
Corporate Publisher:

John A. Volpe National Transportation Systems Center (U.S.)
Abstract:

This document summarizes the methodology and major deliverables resulting from the National Park Service (NPS) Electric Vehicle (EV) Charging Stations Gap Analysis project. The project created a semi-automated geospatial tool that can help NPS to visualize and understand key gaps in EV access on a park-by-park basis, or for clusters of co-located park units. It will enable NPS to perform future analyses efficiently and adaptively on an ongoing basis. The project also performed a nationwide screening exercise, which determined that the largest remaining gap for EV access for NPS (as measured by visitation) is in the four corners area of the NPS Intermountain Region (as of 2019). In light of that, the project used the semi-automated tool to conduct a final gap analysis in the four corners area. The appendix of the document includes instructions for using the semi-automated tool.
Format:

PDF
Funding:

P15PG00231;VU500/SE643
Download URL:

https://rosap.ntl.bts.gov/view/dot/42561/dot_42561_DS1.pdf
File Type:

[PDF - 1.30 MB]
Collection(s):

Volpe Center
Main Document Checksum:

urn:sha-512:df07f12ab79bfa0ce1d4bff04970040e270042dc88879d1bc17be879398e5a2585083e4eaef989e1ce733d35e6e1994d7c9470243dcb067c00802bb791d795dc

File Language:

English

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