Study on the Emergency Shelter Spatial Accessibility Based on Simulation of Evacuation Process
- DOI
- 10.2991/978-94-6463-044-2_3How to use a DOI?
- Keywords
- spatial accessibility; emergency shelter; Simulation of evacuation process; spatial analysis
- Abstract
Urban emergency shelters are very important public safety facilities. This paper analyses the spatial accessibility of emergency shelters in urban Tianjin by simulating the evacuation process. This process is divided into stages by using GIS spatial analysis techniques based on shelter data and house data. A big difference or ascendancy is that this method can find out the discrimination in the service supply and service demand. The difference can reveal the competition among them. The experience results show that, except for Hebei District, which needs to increase the construction of evacuation sites, the spatial distribution of emergency evacuation sites in other districts and counties in Tianjin is reasonable, but there is a need to improve the utility rate of large and medium-sized evacuation sites in terms of planning, construction and management.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zilin Ding AU - Hongjun Dong AU - Yajing Li AU - Xinqiang Yao AU - Hui Zhang PY - 2022 DA - 2022/12/27 TI - Study on the Emergency Shelter Spatial Accessibility Based on Simulation of Evacuation Process BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 10 EP - 20 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_3 DO - 10.2991/978-94-6463-044-2_3 ID - Ding2022 ER -