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ICTD 2025

Sustainable Transportation

POSTER RECEPTION (View list of posters here)

Understanding Utilization Patterns and Behavioral Insights at Electric Vehicle Charging Stations

Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT

    Co-Author(s)

  • John H. Kodi, n/a

    ITS Engineer
    HNTB Corporation
    Tallahassee, Florida, United States

    • Presenter(s)

  • John H. Kodi, n/a

    ITS Engineer
    HNTB Corporation
    Tallahassee, Florida, United States

    • Primary Author(s)

  • JS

    Jimoku H. Salum, P.E

    Transportation Engineer
    SRF Consulting Group
    Tallahassee, Florida, United States

    • Presenter(s)

  • JS

    Jimoku H. Salum, P.E

    Transportation Engineer
    SRF Consulting Group
    Tallahassee, Florida, United States

    • Co-Author(s)

  • SA

    Sultan Ali, PhD

    TSM&O Engineer & Project Manager
    CHA Consulting, Inc.
    Doral, FL, United States

    • Presenter(s)

  • SA

    Sultan Ali, PhD

    TSM&O Engineer & Project Manager
    CHA Consulting, Inc.
    Doral, FL, United States

    • Co-Author(s)

  • Odilo M. Mdimi, n/a

    Graduate Research Assistant
    Florida International University
    Miami, Florida, United States

    • Presenter(s)

  • Odilo M. Mdimi, n/a

    Graduate Research Assistant
    Florida International University
    Miami, Florida, United States

    • Submitter(s)

  • John H. Kodi, n/a

    ITS Engineer
    HNTB Corporation
    Tallahassee, Florida, United States

Abstract: In the last decade, demand for electric vehicles (EVs) has surged, necessitating an expansion in charging infrastructure to accommodate the growing adoption rate. This study examined EV charging infrastructure usage in Boulder, Colorado, and Cary, North Carolina, focusing on charging behavior pattern and charging station utilization. Data from 33 publicly available charging stations covering the period from 2018 to 2023 were analyzed. Kruskal-Wallis test, a non-parametric method, was used to test the influence of various variables on charging station utilization. Additionally, the Cox proportional hazards model was used to analyze factors affecting the post-charge occupancy time. The results revealed that a charging fee does not significantly impact the number of charging sessions or charging station utilization, but it influences post-charge occupancy time. Notably, charging during weekdays displayed longer post-charge occupancy times than during weekends. This highlights the importance of demand management strategies, user education on recommended charging practices, and incentives to encourage timely disconnection after charging completion, all contributing to improving charging station efficiency and overall EV charging experience for EV users. These findings emphasize the importance of having efficient EV charging stations to optimize energy use while saving gasoline, reducing greenhouse gas emissions, and promoting a sustainable future for transportation.

Learning Objectives:

Attendees can expect to learn the following from this session:
  • Understanding Utilization Patterns and Behavioral Insights at Electric Vehicle Charging Stations
  • Understand the importance of having efficient EV charging stations to optimize energy use while saving gasoline, reducing greenhouse gas emissions, and promoting a sustainable future for transportation.
  • Understanding charging behavior for different EV users