Research on Suitability Evaluation of Emergency Shelter based on RAGA-PP Model--Taking Yangpu District, Shanghai as an Example

Yuyan Chen

《International Core Journal of Engineering》 7卷10期 (2021/10) Pp. 237-243

https://doi.org/10.6919/ICJE.202110_7(10).0036

摘要

In order to quantitatively evaluate the disaster prevention suitability of urban emergency shelters, this paper construct an evaluation index system for evacuation site suitability from the three aspects of effectiveness, accessibility, and safety. Using real-coded accelerated genetic algorithm (RAGA) to optimize the projection pursuit (PP) model to analyze the suitability of emergency shelters in Yangpu District. The result shows: indicators such as effective evacuation area, distance from medical aid sites, and number of people that can be served have a greater impact on the disaster reduction capabilities of emergency evacuation sites. Among the existing emergency shelters in Yangpu District, the Public Green Space on Dalian Road is highly adaptable. the Fudan Science Park Primary School and Fifteenth Middle School are poorly adaptable, and urgently need to be optimized.

關鍵字

Emergency Shelter ； Public Safety ； Suitability Evaluation ； RAGA-PP Model

參考文獻

B.A. Sawyerr, A.O. Adewumi, M.M. Ali. Benchmarking RCGAu on the noiseless BBOB testbed(The Scientific World Journal), Vol.7(2015), No.4, p.95-97.

B.A. Sawyerr, A.O. Adewumi, M.M. Ali. Real-coded genetic algorithm with uniform random local search (Applied Mathetics and computation), Vol.22(2014), No.8, p.589-597.

S.L. Liu, Y.L. Lu, et al. Study on the rationality of spatial layout of urban emergency shelters (Urban Development Research), vol.19(2012) No.3, p.113-117.

Y.H. Huang. GIS-based evaluation and analysis of suitability of emergency shelters in Shanghai's urban function optimization zone (Shanghai Normal University), (2018), p.89

Y.K. Zhou, J.W. Liu, J.Z. Liang. Comprehensive evaluation of the suitability of refuges in Fuzhou based on improved grey correlation(Geography and Geographic Information Science), Vol.34(2018), No.6, p.63-70.