本計畫為整合型計畫－救災醫療體系之研究–以雲嘉南為例－之子計畫四。計 畫內容將運用GIS 探討雲嘉南醫療資源分佈，以及災害潛勢地區分佈，以及相關緊 急救護資源分佈，並進行救災動線選擇。因此，本子計畫研究內容和其它四個子計 畫均密切相關，利用其他子計畫的資料進行分析，再將這些資訊作為救災的基礎。 本計畫為三年期計畫，第一年以建立一災害發生機率模型作為目標，透過雲嘉 南地區災害的歷史紀錄與各類型災害潛勢區資料，作為本次研究地區的基礎資料； 將其特性與分佈狀況做一機率地圖，可在災害發生前分析同類型的救援分佈，提高 救援效率。 第二年所探究的內容為救災路線之選擇，依據各路線的空間距離與受災因子的影 響，建構路段阻斷風險推估模式，作為救援路線選擇基礎外，並結合第一年成果，考量 醫療救護設施的服務範圍與容量、前進指揮中心的區位設置、和救護站等不同醫療層級 設施，與救援路線相結合的緊急醫療救援配置網絡，為本階段的研究成果。 第三年延續第一年與第二年的研究成果，透過空間決策支援系統(Spatial Decision Support System)，藉由整合災害潛勢區資料、緊急醫療資源服務範圍與救災路線選擇， 結合地理資訊系統於決策支援系統中，以圖形展示或圖層分析於系統使用者介面上，並 進行地震、颱風等各類型災害情境模擬，提供決策者各類參考資訊。 透過前述三年期計畫之執行，本計畫將可達成在面對災害衝擊下，進行災區對救援 需求特性之分類、緊急醫療資源據點服務範圍之確認、救災路線選擇模式之建構等研究 目的，並可為防救災主管機關防救災決策之參考。 This project is one of the five collaborative research projects within the framework of the Integrated Project, Research on the Disaster Medical System - the case of Yu-Jia-Nan District. The aims of this project are to use Geographic Information System (GIS) to describe the locations of the medical resources, the potential disaster area and the emergency rescue services in the Yu-Jia-Nan District, and to assign the routes for disaster rescue. This project will work closely with other collaborative projects. It will employ data from them as input data, and produce information for disaster rescue operations as the outcomes. This is a three-year project. In the first year, it is aiming at developing a probabilistic model of disaster. Historical data about the disasters happened in the Yu-Jia-Nan District and the data on different types of potential disaster area will be collected and stored in a database by which the spatial distribution and characteristics of disasters can be analyzed. These data can be used to forecast a potential disaster to improve the efficiency of the rescue operations. The aim of the work in the second year is to develop a route choice model for the rescue tasks. This model will estimate the availability of the routes when suffering a disaster before assigning the routes for rescue. In addition, the outcomes for the work in the first year will be integrated to assign the locations and service ranges for different levels of medical resources and the Emergency and Rescue Command Center, and to recommend the routes choice for each rescue operation. In the third year, a Spatial Decision Support System (SDSS) which integrates the GIS and the models developed in the first two years will be developed. The SDSS will integrate the data on potential disaster area, the data on service ranges of the emergency medical resources and the route choice model for rescue operations into a system which is able to simulate the scenarios of different types of disasters. Also, it has a user interface which is able to present the information, including the graphical information, for decision making. Overall, this three-year project will develop a decision support system which is able to recognize the pattern and the demand of the rescue operations, to arrange the service ranges of the medical resources under different scenarios of disasters and to assign the routes for the rescue tasks.
