1. Introduction

 This is the first independent research project I have come into contact with and the starting point of my academic career. The project aims to optimize the allocation of first-aid resources in Wuhan. Based on the discussion of the accessibility of first-aid resources in Wuhan, it established a rational evaluation system for the distribution of first-atid sites and an optimization model for the setting of first-aid sies, and further proposed two stratagies to help optimize the allocation of first-aid resources: ① Use neural networks to predict the load of each first-aid station and allocate emergency resources such as emergency vehicles as needed; ②Set temporary parking area for ambulances in the service area of ​​the first-aid site.

2. My contribution

• Used 2SFCA to obtain the potential accessibility of first-aid services
• Established a comprehensive evaluation index system to evaluate the availability of first aid service.
• Predicted First aid stations’ load using ARMA model and NAR neural network.
• Established serval multi-objective linear optimization models for first aid station site selection under different strategies, and solved them using simulated annealing genetic algorithm (SAGA).
• Applied spatiotemporal hotspot analysis to figure out and visualize the patterns of different types of emergency events.

  3. Publications

  [1] Sun, Y., Zhao, M., Zhang, K., Chen, B., Lin, H., &Lu, C., 2017. Bibliometric Analysis of Medical Geographic Information System Research. Medical information, 30, 53-56. (In Chinese) [2] Sun, Y., Zhao, M., Liu, Z., Lin, H., Zhang, K., &Chen, B., 2017. Evaluation Indexes and Empirical Research on the Rationality of Layout of First-aid Sites. Journal of Medical Informatics, 38, 48-53. (In Chinese)

---

• Previous
  Tea Expansion in Anji County, China: Determinants, Trade-off mechanism, Simulation
• Next
  Thematic Map Design for Planning Decision-making

---