Journal of Geo-information Science ›› 2019, Vol. 21 ›› Issue (9): 1411-1419.doi: 10.12082/dqxxkx.2019.180533

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Selection Method for Urban Emergency Medical Institutions Considering Spatiotemporal Accessibility

LIU Xiaohui1,*(),LIU Yongwei2,CAI Fei1,FAN Wenping1   

  1. 1. School of Surveying and Geo-Informatics, Shandong Jianzhu University, Ji'nan 250101, China
    2. Telchina Smart Industry Group Company with Limited Liability, Ji'nan 250101, China
  • Received:2018-10-19 Revised:2019-05-07 Online:2019-09-25 Published:2019-09-24
  • Contact: LIU Xiaohui
  • Supported by:
    Shandong Provincial Natural Science Foundation, China(ZR2016DQ06);Science and Technology Project of Institutions of Higher Education of Shandong Province(J16LH05);The Housing and Construction Department Science-Technology Program of Shandong Province of China(2018-K8-02);Shandong Province Social Science Planning Research Project(14DGLJ06);Doctoral Research Fund of Shandong Jianzhu University(XNBS1404)


With the rapid development of urbanization in China, urban scale is increasing. The urban population is increasing rapidly, and public emergencies occur frequently, which raises new requirements for emergency management and decision-making of public emergency departments. In cities, the population density is very large and the speed of population flow is fast. Once an emergency occurs in the crowd, there will be so many people involved. Therefore, relevant departments are required to take scientific and efficient emergency response actions timely. It is an important aspect of emergency response for urban emergencies to select and allocate emergency medical institutions. In the process of emergency decision-making, the selection of medical institutions should meet two requirements. On one hand, it should enable the injured to reach the selected medical institutions quickly; On the other hand, it requires the selected medical institutions to have the ability to deal with emergency events and realize the accessibility of emergency medical services. However, geographic location of medical institutions and real-time traffic are the main factors affecting the spatiotemporal accessibility of medical institutions. Meanwhile, the availability of medical services is determined by the matching degree between the resource quantity in medical institutions and emergency assistance need. Based on existing research and the theory of spatiotemporal accessibility, this paper focused on the needs of urban emergency relief, and studied the method to recommend emergency medical institutions for decision-makers. So, the location of medical institutions, real-time traffic, the grade and resources quantity of medical institutions, and the need for emergency assistance were used as choice indicators to define the spatiotemporal accessibility of medical institutions. A medical institution selection model suitable for emergency assistance of city emergencies was proposed, which can recommend medical institutions that meet the emergency response requirements for emergency decision-makers. On this basis, an algorithmic flow for the model was designed, and its feasibility and the role of key steps were verified experimentally. Compared with the traditional accessibility measurement method, the emergency medical institution selection model and algorithm proposed in this paper consider the impact of real-time road traffic situation and the matching degree between emergency rescue demand and emergency resource. Meanwhile, this algorithm can complete the route planning while selecting the most suitable medical assistance institution, which can improve the decision-making efficiency. It is of great practical significance for improving emergency response.

Key words: emergency medical services, medical institutions selection, spatiotemporal accessibility, medical assistance need, shortest path of dynamic time cost, Qingdao