Title :
GIS-based safe area discovery for emergency logistics
Author :
Hu, Jian-Kun ; Yang, Bin ; Wang, Jie ; Wang, Zhi-Huan ; Hu, Zhi-Hua
Author_Institution :
Logistics Res. Center, Shanghai Maritime Univ., Shanghai, China
Abstract :
Quick response to urgent relief right after natural disasters through efficient emergency logistics distribution is vital to the alleviation of disaster impact in the affected areas, which remains challenging in the field of logistics and related study areas. This paper analyzes the spatial data and the attribute data by space model and logistics models. Numerical studies with a real large-scale earthquake disaster occurring in Wenchuan are conducted, and the corresponding results indicate the applicability of the proposed method and its potential advantages.
Keywords :
disasters; earthquake engineering; emergency services; geographic information systems; geophysical techniques; logistics; GIS-based safe area discovery; Wenchuan; attribute data analysis; emergency logistics distribution; large-scale earthquake disaster; logistics models; natural disasters; space model; spatial data analysis; Disaster management; Earthquakes; Geographic Information Systems; Logistics; Roads; Robustness; Routing; Stochastic processes; Uncertainty; Vehicle dynamics; Emergency logistics; Emergency management; GIS; Logistics network; Safe area discovery;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477642
