Level of Education of Students Involved

Graduate

Faculty Sponsor

Sonja Streuber

College

Arts and Sciences

Discipline(s)

Analytics and Modeling, Computer Science

ORCID Identifier(s)

https://orcid.org/0009-0004-5438-0114

Presentation Type

Poster Presentation

Symposium Date

Spring 4-27-2023

Abstract

This report presents a model developed to explore the relationship between charging infrastructure availability and electric car sales growth in California. The model focuses on analysing the rate of charging infrastructure growth and sales growth of different types of electric vehicles between 2016 and 2021. The data is analysed using a stochastic approach, and a logistic function is used to model the charging infrastructure growth rate. The model treats California as the environment and uses multiple charging stations as patches. The model's results are presented as plots on the interface, and the correlation between the sales and charging infrastructure growth rates are predicted over five years. This report provides insights into the interdependence between charging infrastructure availability and electric vehicle sales growth, which can be valuable for policymakers and stakeholders in the transportation sector.

Biographical Information about Author(s)

Amar Agrawal is an Analytics and Modelling graduate student from Kathmandu, Nepal. He completed this project as a coursework requirement for Simulation and Modelling module. He was interested in this topic as he was fascinated to see if the race for developing the charging infrastructures worldwide would make sense. Coming from a sales analysis background, he plans to graduate with sound understanding of statistical analysis in December, 2023.

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