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Communities of Concern

Research Project:
Develop an Agent-based Modeling Tool to Promote Electrical Vehicle (EV) Deployment and Reduce Lung Cancer Risks

University: Washington State University

Principal Investigator(s): Jia Li

Project Partners: Tiankai Wang (Texas State University)

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.

US DOT Priorities:

By creating a modeling tool capable of simulating EV infrastructure design and user adoption scenarios, this project advances transportation planning and design, aligning with the DOT's priorities in equity and sustainability. The research represents a breakthrough as it combines advanced modeling techniques to promote EV deployment, which contributes to environmental preservation and climate stability by reducing emissions. Furthermore, it addresses public health concerns by mitigating lung cancer risks associated with transportation-related air pollution. Overall, this project engages in transformative research by developing innovative tools to promote sustainable transportation and enhance environmental and public health.


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 the community-level health impacts of EVs.

Figure 1: Proposed agent-based EV deployment simulation framework


The research will provide a decision-making tool for policymakers to evaluate EV deployments under various scenarios considering their health impacts to the community. 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 and communities more strategically, the decision-support tool will ultimately help to make transportation systems more equitable and sustainable.

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