Agent Based Modeling Framework for Wildfire Evacuation in Damaged Transportation Settings
| 项目名称： | Agent Based Modeling Framework for Wildfire Evacuation in Damaged Transportation Settings |
| 摘要： | The main goal of this study is to support effective evacuation planning by developing an agent-based modeling framework for wildfire evacuation in damaged transportation settings. The framework will predict traffic conditions during an evacuation and identify the critical parts of the transportation network for pre-fire risk mitigation actions aimed at improving mobility during a wildfire evacuation. To achieve the goal, the project will perform an online survey of residents in the PNW region to collect information on human behaviors during a wildfire evacuation, which will be used to characterize individual evacuees’ decision sequence in agent-based model. Other types of data (e.g., weather and vegetation patterns, topography, transportation network, and building distribution in Spokane, Washington) will also be collected to perform wildfire simulation, vulnerability assessment, and traffic simulation. |
| 状态： | Active |
| 资金： | 80000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Lee, Ji Yun |
| 执行机构： | Washington State University, Pullman |
| 开始时间： | 20210516 |
| 预计完成日期： | 20220515 |
| 主题领域： | Environment；Planning and Forecasting；Safety and Human Factors；Transportation (General) |
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