Project Description:

The goal of this project is to develop a modeling tool capable of simulating Electrical Vehicle (EV) infrastructure design and user adoption scenarios to facilitate the planning and design of EV infrastructure systems and reduce transportation-related lung cancer risks.

Outputs:

The research team will work on a multi-agent simulation-based decision-making tool to evaluate the health impacts of EVs under various deployment scenarios. The outputs consist of: (1) Simulation framework: an agent-based simulation modeling framework that models the dynamic interactions of EV users and road infrastructure under various deployment scenarios; (2) Empirical datasets and analysis: empirical data sets will be synthesized and collected, and an empirical analysis will be conducted to explore health impacts of EVs.

_{Figure 1: Proposed agent-based EV deployment simulation framework}

Outcomes/Impacts:

The research will provide a decision-making tool for policymakers to evaluate EV deployments under various scenarios considering their health impacts to the general public. The tool will enhance the existing policymaking through incorporating multisource data and agent-based simulation in EV infrastructure planning. By deploying EVs and integrating them into transportation infrastructure systems more strategically, the decision-support tool will ultimately help to make transportation systems more equitable and sustainable.