How Mobility and Accessibility Affect Crime Rates: Insights from Mobile Device Location Data
| 项目名称： | How Mobility and Accessibility Affect Crime Rates: Insights from Mobile Device Location Data |
| 摘要： | This research study will investigate the possible correlations between mobility, accessibility, and crime rate. A rich mobile device location dataset including detailed anonymized location traces of the mobile devices observed in the city of Baltimore will be combined with the police arrest records to study how mobility and accessibility affect neighborhood safety. The research team will first process and analyze the mobile device location dataset to obtain measures of mobility and accessibility. These measures will be different from the traditional measures in that they will be obtained based on the empirically observed location data. The research team will then build statistical and machine learning tools to model crime rates at zone level and corridor level, using the calculated mobility and accessibility measures, land use variables, and economy-related variables as the covariates. Subsequently, the team will focus on the correlation of the crime rates with the mobility and accessibility variables. The study seeks to inform the decision makers about the transportation-related issues contributing to the lack of safety and offer transportation solutions to crime-related problems, specially at the neighborhoods suffering from high crime rates. |
| 状态： | Completed |
| 资金： | 100000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Tucker-Thomas, Dawn |
| 执行机构： | Urban Mobility & Equity Center |
| 开始时间： | 20191001 |
| 预计完成日期： | 20210330 |
| 实际结束时间： | 20210330 |
| 主题领域： | Data and Information Technology；Safety and Human Factors；Transportation (General) |
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