City-Wide Strategic EV Charging Network Design: Demand-Supply Integration via Market Dynamics

The transportation sector accounts for a massive portion of greenhouse gas emissions and air pollution, making the adoption of sustainable and low-emission alternatives crucial for mitigating climate change and improving air quality. Electric vehicles (EVs) have emerged as a promising solution, offering reduced emissions and lower operating costs compared to conventional internal combustion engine vehicles. As a result, many cities and regions around the world are transitioning towards incorporating EVs into their transportation systems. One of the critical challenges in promoting EV adoption is the availability and accessibility of a well-established charging infrastructure. An efficient and strategically located charging network is essential to alleviate range anxiety among EV users and encourage the widespread adoption of electric mobility. However, the deployment of EV charging stations requires careful planning and decision-making, considering factors such as demand distribution, traffic patterns, existing infrastructure, and accessibility for users. The Electric Vehicle Location Selection Problem (EVLSP) addresses the task of identifying optimal locations for installing EV charging stations to achieve maximum coverage, minimize the cost of infrastructure development, and enhance the convenience and accessibility for EV users. To tackle this complex problem, researchers have explored various algorithms and methodologies from operations research and optimization fields. In this project, the research team presents a comprehensive study on the EVLSP with a specific focus on the city of Avondale, AZ. Avondale, like many other urban areas, faces challenges related to sustainable transportation and seeks to improve its urban mobility while reducing environmental impact. This research aims to provide valuable insights into the strategic deployment of EV charging stations in Avondale, considering the city’s unique characteristics and transportation needs.


  • English


  • Status: Active
  • Funding: $150000
  • Contract Numbers:



  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Center for Understanding Future of Travel Behavior and Demand

    University of Texas
    Austin, TX  United States 
  • Project Managers:

    Bhat, Chandra

  • Performing Organizations:

    Arizona State University, Tempe

    Tempe, AZ  United States 
  • Principal Investigators:

    Zhou, Xuesong

  • Start Date: 20230901
  • Expected Completion Date: 20250531
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01917636
  • Record Type: Research project
  • Source Agency: Data-Supported Transportation Operations and Planning Center
  • Contract Numbers: 69A3552344815, 69A3552348320
  • Files: UTC, RIP
  • Created Date: May 6 2024 3:28PM