A network spatial analysis simulating response time to calls for service at variable staffing levels

Abstract

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.

Complex urban systems: a living lab to understand urban processes and solve complex urban problems

“…The article by Clark et al “A Network Spatial Analysis Simulating Response Times to Call for Service at Variable Staffing Levels” [ 6 ] responds to the recent discussions around the slogan “Defunding the Police”. It addresses the balance between reducing policy presence to reduce incidents of police brutality versus public safety concerns because of longer response times.…”