International Journal of Human Capital in Urban Management
Quarterly Publication

Optimization-based planning to assess the level of disaster in the city

https://doi.org/10.22034/IJHCUM.2020.03.02
Volume 5, Issue 3 - Serial Number 19
Summer 2020
Pages 199-206
International Journal of Human Capital in Urban Management

Document Type : ORIGINAL RESEARCH ARTICLE

Authors

A. Edrisi
A. Nadi
M. Askari

Faculty of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran

Abstract
BACKGROUND AND OBJECTIVES: After having struck in a major natural disaster like an earthquake, different organizations run about to decrease losses. The lack of accurate demand information is a common problem that all emergency response organizations have to encounter such a crisis. Evaluation of the City disaster level is a mean to feed this information to the disaster response operations. The objective of this research is eschedule a group of experts to assess relief demand. These evaluation teams need to be scheduled to minimize the evaluation time.
METHODS: This paper aims to formulate the routing and scheduling of the assessment teams so that real demand information for savings and rescue would be available as soon as possible. The simulated annealing algorithm is used to solve the scheduling problem.
FINDING: two cost functions, sum of arrival time and max completion time, were evaluated. The latest is found to perform better in evaluation of the teams performance.
CONCLUSION:The performance of the approach is tested on several randomly generated networks and synthesized demand data. The results show a 13 % improvement in the total completion time of operation in comparison with previous approaches.

Keywords

Demand information
Disaster management
Relief assessment routing
Scheduling and optimization
Simulated annealing
Subjects
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  • Receive Date 11 March 2020
  • Revise Date 15 May 2020
  • Accept Date 17 June 2020

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