A network spatial analysis simulating response time to calls for service at variable staffing levels A case study on strategic police defunding in the city of Chicago
A network spatial analysis simulating response time to calls for service at variable staffing levels A case study on strategic police defunding in the city of Chicago
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DOI：
10.1140/epjs/s11734-021-00344-1
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发表时间：
2021-12-18
影响因子：
2.8
通讯作者：
Gonzalez, Marta
中科院分区：
文献类型：
--
作者：
Clark, Callie;Dangwal, Chitra;Gonzalez, Marta
鉴于最近发生的事件，关于取消警察经费的讨论激增。一方面，减少警察存在的政策旨在减少警察暴力的频率。另一方面，警察部队的缩编引发了对公共安全和警察反应时间的关切。在这项工作中，我们使用空间分析来研究减少警力可能对响应时间的影响。将芝加哥的交通系统建模为网络，模拟警察从车站到事件的响应。然后，我们使用该模拟来计算从警察到备用响应者的资源重新分配的影响。使用芝加哥的大型，开源的警察事件响应数据库，我们使用我们的模拟来预测响应时间的变化受到各种犯罪和警务方案。我们的模型表明，目前的响应时间分布可以保持30-60%的减少警察的人员配备水平，如果一些事件被重新分配给备用响应者。
In light of recent events, there has been a surge in discussions of defunding police. On one hand, policy that reduces police presence aims to reduce frequency of police violence. On the other hand, downsizing the police force triggers concerns of public safety and police response time. In this work, we use spatial analysis to examine the impact a reduced police force may have on response time. Modeling the transportation system of Chicago as a network, we simulate the response of police officers from stations to incidents. We then use this simulation to calculate the impacts of resource re-allocation from police to alternate responders. Using Chicago's large, open-source police incident response database, we use our simulation to predict how the response time changes subject to various crime and policing scenarios. Our model suggests that the current response time distribution can be maintained with a 30-60% reduction in police staffing levels if some incidents are re-allocated to alternate responders.