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Title: Understanding the linkage between electric vehicle charging network coverage and charging opportunity using GPS travel data

Abstract

Using GPS travel survey data from three metropolitan areas, this paper estimates the relationship between plug-in electric vehicle (PEV) public charging infrastructure coverage and charging opportunity. The former is defined as the percentage of public areas with charging stations installed and the latter represents the drivers probability of accessing a public charger at their trip stops (stop-based) or during at least one stop of their travel day (trip chain-based). Understanding this relationship is important to PEV manufacturers and electric vehicle supply equipment (EVSE) providers, as well as government agencies, for evaluating different levels of EVSE deployment and estimating the impact of its availability on PEV adoption. Heuristic procedures are developed to estimate stop- and trip chain-based charging opportunities. Charging opportunity reflects the visibility of EVSE as the incremental security that charging stations enable, while evaluating the potential of a driver to access EVSE at travel stops or during the day, for different levels of EVSE deployment on the transportation network. The metrics proposed do not assess the probability of completing trips with electric vehicles of a given range. The analysis results indicate that drivers’ trip destinations concentrate in a few popular places and EVSE deployment in these areas could achievemore » relatively high levels of charging opportunity. This finding is also robust to regional variations.« less

Authors:
 [1]; ORCiD logo [2]; ORCiD logo [2];  [3]; ORCiD logo [2]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Lamar Univ., Beaumont, TX (United States). Dept. of Civil and Environmental Engineering
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1567006
Alternate Identifier(s):
OSTI ID: 1636916
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Transportation Research Part C: Emerging Technologies
Additional Journal Information:
Journal Volume: 98; Journal Issue: C; Journal ID: ISSN 0968-090X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; Electric vehicle; Charging opportunity; Charging infrastructure; Charging coverage

Citation Formats

Kontou, Eleftheria, Liu, Changzheng, Xie, Fei, Wu, Xing, and Lin, Zhenhong. Understanding the linkage between electric vehicle charging network coverage and charging opportunity using GPS travel data. United States: N. p., 2019. Web. doi:10.1016/j.trc.2018.11.008.
Kontou, Eleftheria, Liu, Changzheng, Xie, Fei, Wu, Xing, & Lin, Zhenhong. Understanding the linkage between electric vehicle charging network coverage and charging opportunity using GPS travel data. United States. https://doi.org/10.1016/j.trc.2018.11.008
Kontou, Eleftheria, Liu, Changzheng, Xie, Fei, Wu, Xing, and Lin, Zhenhong. Tue . "Understanding the linkage between electric vehicle charging network coverage and charging opportunity using GPS travel data". United States. https://doi.org/10.1016/j.trc.2018.11.008. https://www.osti.gov/servlets/purl/1567006.
@article{osti_1567006,
title = {Understanding the linkage between electric vehicle charging network coverage and charging opportunity using GPS travel data},
author = {Kontou, Eleftheria and Liu, Changzheng and Xie, Fei and Wu, Xing and Lin, Zhenhong},
abstractNote = {Using GPS travel survey data from three metropolitan areas, this paper estimates the relationship between plug-in electric vehicle (PEV) public charging infrastructure coverage and charging opportunity. The former is defined as the percentage of public areas with charging stations installed and the latter represents the drivers probability of accessing a public charger at their trip stops (stop-based) or during at least one stop of their travel day (trip chain-based). Understanding this relationship is important to PEV manufacturers and electric vehicle supply equipment (EVSE) providers, as well as government agencies, for evaluating different levels of EVSE deployment and estimating the impact of its availability on PEV adoption. Heuristic procedures are developed to estimate stop- and trip chain-based charging opportunities. Charging opportunity reflects the visibility of EVSE as the incremental security that charging stations enable, while evaluating the potential of a driver to access EVSE at travel stops or during the day, for different levels of EVSE deployment on the transportation network. The metrics proposed do not assess the probability of completing trips with electric vehicles of a given range. The analysis results indicate that drivers’ trip destinations concentrate in a few popular places and EVSE deployment in these areas could achieve relatively high levels of charging opportunity. This finding is also robust to regional variations.},
doi = {10.1016/j.trc.2018.11.008},
journal = {Transportation Research Part C: Emerging Technologies},
number = C,
volume = 98,
place = {United States},
year = {2019},
month = {1}
}

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Cited by: 13 works
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Works referenced in this record:

Deployment of stationary and dynamic charging infrastructure for electric vehicles along traffic corridors
journal, April 2017

  • Chen, Zhibin; Liu, Wei; Yin, Yafeng
  • Transportation Research Part C: Emerging Technologies, Vol. 77
  • DOI: 10.1016/j.trc.2017.01.021

Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data
journal, January 2014

  • Dong, Jing; Liu, Changzheng; Lin, Zhenhong
  • Transportation Research Part C: Emerging Technologies, Vol. 38
  • DOI: 10.1016/j.trc.2013.11.001

Factors of electric vehicle adoption: A comparison of conventional and electric car users based on an extended theory of planned behavior
journal, January 2018

  • Haustein, Sonja; Jensen, Anders Fjendbo
  • International Journal of Sustainable Transportation, Vol. 12, Issue 7
  • DOI: 10.1080/15568318.2017.1398790

Deploying public charging stations for electric vehicles on urban road networks
journal, November 2015

  • He, Fang; Yin, Yafeng; Zhou, Jing
  • Transportation Research Part C: Emerging Technologies, Vol. 60
  • DOI: 10.1016/j.trc.2015.08.018

A comprehensive model of regional electric vehicle adoption and penetration
journal, February 2017


Stochastic dynamic itinerary interception refueling location problem with queue delay for electric taxi charging stations
journal, March 2014

  • Jung, Jaeyoung; Chow, Joseph Y. J.; Jayakrishnan, R.
  • Transportation Research Part C: Emerging Technologies, Vol. 40
  • DOI: 10.1016/j.trc.2014.01.008

Socially optimal replacement of conventional with electric vehicles for the US household fleet
journal, April 2017

  • Kontou, Eleftheria; Yin, Yafeng; Lin, Zhenhong
  • International Journal of Sustainable Transportation, Vol. 11, Issue 10
  • DOI: 10.1080/15568318.2017.1313341

Optimal design of electric vehicle public charging system in an urban network for Greenhouse Gas Emission and cost minimization
journal, December 2017


Policy measures to promote electric mobility – A global perspective
journal, December 2015


Promoting the Market for Plug-In Hybrid and Battery Electric Vehicles: Role of Recharge Availability
journal, January 2011

  • Lin, Zhenhong; Greene, David L.
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2252, Issue 1
  • DOI: 10.3141/2252-07

Enabling fast charging – Vehicle considerations
journal, November 2017


Effectiveness of incentives on electric vehicle adoption in Norway
journal, July 2016

  • Mersky, Avi Chaim; Sprei, Frances; Samaras, Constantine
  • Transportation Research Part D: Transport and Environment, Vol. 46
  • DOI: 10.1016/j.trd.2016.03.011

A corridor-centric approach to planning electric vehicle charging infrastructure
journal, November 2013


Electric vehicles: How much range is required for a day’s driving?
journal, December 2011

  • Pearre, Nathaniel S.; Kempton, Willett; Guensler, Randall L.
  • Transportation Research Part C: Emerging Technologies, Vol. 19, Issue 6
  • DOI: 10.1016/j.trc.2010.12.010

Consumer Resistance to Innovations: The Marketing Problem and its solutions
journal, February 1989


How may incentives for electric cars affect purchase decisions?
journal, November 2016


Acceptable Walking Distances in Central Areas
journal, July 1985


The influence of financial incentives and other socio-economic factors on electric vehicle adoption
journal, May 2014


A statistical approach to estimating acceptance of electric vehicles and electrification of personal transportation
journal, January 2013

  • Tamor, Michael A.; Gearhart, Chris; Soto, Ciro
  • Transportation Research Part C: Emerging Technologies, Vol. 26
  • DOI: 10.1016/j.trc.2012.07.007

Rapid estimation of electric vehicle acceptance using a general description of driving patterns
journal, February 2015

  • Tamor, Michael A.; Moraal, Paul E.; Reprogle, Briana
  • Transportation Research Part C: Emerging Technologies, Vol. 51
  • DOI: 10.1016/j.trc.2014.10.010

US residential charging potential for electric vehicles
journal, December 2013

  • Traut, Elizabeth J.; Cherng, TsuWei Charlie; Hendrickson, Chris
  • Transportation Research Part D: Transport and Environment, Vol. 25
  • DOI: 10.1016/j.trd.2013.10.001

Cost analysis of plug-in hybrid electric vehicles using GPS-based longitudinal travel data
journal, May 2014


Long-term strategic planning of inter-city fast charging infrastructure for battery electric vehicles
journal, January 2018

  • Xie, Fei; Liu, Changzheng; Li, Shengyin
  • Transportation Research Part E: Logistics and Transportation Review, Vol. 109
  • DOI: 10.1016/j.tre.2017.11.014

Works referencing / citing this record:

Charging Station and Power Network Planning for Integrated Electric Vehicles (EVs)
journal, July 2019