建築物室內的緊急醫療資源空間配置模型： 以台大共同教室大樓佈署自動體外 心臟電擊去顫器為例

Abstract

在心臟驟停(out-of-hospital cardiac arrest, OHCA)患者的黃金救護時間內實施自動體外除顫器(automated external defibrillator, AED)急救，可以有效提高患者存活率。然而關於AED最佳化區位的研究中，缺少考量室內環境下人口流動的條件，導致部分時段的OHCA患者潛在的高風險。因此本篇文章提供了室內時空區位模型，考量到室內人口流動特性，計算AED最佳位置。此模型依據人口流動特性建構室內路網，以最大化覆蓋範圍(maximal covering location problem, MCLP)為目標式，以4分鐘作為AED的覆蓋半徑。本篇文章建議考量室內人口流動特性的最佳化位置策略，可以在有限的AED經費成本下，提高室內OHCA患者的存活率。

Treat out-of-hospital cardiac arrest (OHCA) patient within first few critical minutes with an automated external defibrillator (AED) can strongly increase survival. While planning optimal AED locations, population flow in a indoor environment is understudied. Here we describe a spatial-temporal locating model that considers population flow in indoor environment to solve optimal AED location problem. Our model is based on indoor transportation network to maximize the covered demand over all time periods, with a 4 minutes AED covering radius. Our results suggest the AED allocation strategies with considering population flow in indoor environment. Such installations can raise OHCA patient survival potential with finite AEDs.