Ambulance emergency response time is directly associated with the survival outcome of the crash victims, and determining the optimal location of ambulances can significantly reduce the response time, thereby enhancing the survival probability of crash victims. The main aim of this study is to maximize the survival probability of crash victims by optimally deploying a given fleet of ambulances. We considered two test scenarios in this study: in the first scenario, we assume that ambulances are always available to respond to calls, while in the second scenario, we account for the busy probability of ambulances, considering the fact that they may not always be available when a call is received. Firstly, 100 random points representing as accident locations were generated on the selected road network. Subsequently, 200 potential ambulance locations were identified, and 25 hospital locations were chosen for transferring crash victim to a hospital. The travel times between ambulance location and the accident location, plus the travel time between accident location and the hospital location, were obtained using HERE Routing API. The survival probability outcomes were then compared across three instances: when the crash victim is transferred to the nearest hospital, transferred to only government hospitals, and transferred to a dedicated trauma care center. The results show that in the first scenario, with the current fleet of 14 ambulances, the survival probabilities for the three instances are 95.34%, 87.90%, 83.08%, respectively. In the second scenario, considering the busy probability of 0.4, the survival probabilities for the same three instances decrease to 79.68%, 73.03%, and 67.85%, respectively.

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Optimal Location of Ambulances in Urban Areas to Maximize the Survival Probability of Crash Victims

  • Shashidhar Kundagol,
  • Bhargab Maitra

摘要

Ambulance emergency response time is directly associated with the survival outcome of the crash victims, and determining the optimal location of ambulances can significantly reduce the response time, thereby enhancing the survival probability of crash victims. The main aim of this study is to maximize the survival probability of crash victims by optimally deploying a given fleet of ambulances. We considered two test scenarios in this study: in the first scenario, we assume that ambulances are always available to respond to calls, while in the second scenario, we account for the busy probability of ambulances, considering the fact that they may not always be available when a call is received. Firstly, 100 random points representing as accident locations were generated on the selected road network. Subsequently, 200 potential ambulance locations were identified, and 25 hospital locations were chosen for transferring crash victim to a hospital. The travel times between ambulance location and the accident location, plus the travel time between accident location and the hospital location, were obtained using HERE Routing API. The survival probability outcomes were then compared across three instances: when the crash victim is transferred to the nearest hospital, transferred to only government hospitals, and transferred to a dedicated trauma care center. The results show that in the first scenario, with the current fleet of 14 ambulances, the survival probabilities for the three instances are 95.34%, 87.90%, 83.08%, respectively. In the second scenario, considering the busy probability of 0.4, the survival probabilities for the same three instances decrease to 79.68%, 73.03%, and 67.85%, respectively.