Where Matters

Does where an incident happens affect how quickly first responders arrive? Timely emergency responses are important to urban safety. However, the combined influence of street-level environments, operational conditions, and neighborhood contexts on dispatch performance remains unclear. We examined such geographical complexity by modeling geographic predictors for whether emergency vehicles successfully arrived at incidents in the city of Dallas within the city’s eight-minute benchmark. Using 250,647 incidents and 56 million GPS points along emergency dispatch routes in 2016, we compiled fourteen spatial and operational variables for every incident to train a Bayesian-optimized random forest classifier. The fourteen variables characterized street network topology, roadway attributes, land use, and socioeconomic status, and the model achieved an accuracy of 77.26% in predicting whether emergency response arrived at an incident within eight minutes. A longer distance to dispatch stations, dispatching from non-nearest stations, and low street–network integration were the strongest predictors of unsuccessful responses. Higher-income areas showed slightly elevated unsuccessful rates linked to frequent construction-related disruptions. These findings highlight emergency response as a coupled spatial–operational–temporal process and underscore the need for context-sensitive dispatch strategies and coordinated urban planning

Emergency management · Emergency response · Geographic information system · Global Positioning System · Natural disaster · Socioeconomic status · Evacuation and Crowd Dynamics · Facility Location and Emergency Management · Traffic and Road Safety

• Availability of Recreational Resources in Minority and Low Socioeconomic Status Areas

  Open Access•Latetia V Moore, Ana V Diez Roux et al.•American Journal of Preventive…•2008

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• EMS Response Time for Patients Critically-Injured from Automobile Accidents Using Regression Analysis

  Open Access•Sneha Reddy Vanga, Phillip M Ligrani et al.•Current Urban Studies•2021

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