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Title:

Analysis of relief response strategies for a limited information environment
Cover of Analysis of relief response strategies for a limited information environment

Accession Number:

01627880

Record Type:

Component

Abstract:

A disaster logistics manager always struggles how relief items can be allocated among victims to bring maximum benefits. The most critical aspect, often ignored, is the shortage of information in post-disaster situation that creates confusion and difficulties in relief allocation. This study proposes an agent based model for comparing different relief allocation strategies in an environment of limited information. The authors have validated the model by agent’s behavior observation after the 2011 Great East Japan earthquake and the 2016 Kumamoto earthquake, Japan. Logistics manager shows dynamic decision making behavior and can utilize one of the three updated strategies. These are (1) Rigid push strategy (RPS) (2) Semi rigid push strategy (SRPS) and (3) Adjusted push strategy (APS). APS shows better performance in the criteria of average shortage per day and average perish per day when shelter capacity is lower or there are variations of shelter capacity among shelters.

Supplemental Notes:

This paper was sponsored by TRB committee ABR20 Standing Committee on the Logistics of Disaster Response and Business Continuity.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-03740

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Das, Rubel
Okumura, Makoto

Pagination:

15p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Geographic Terms:

Subject Areas:

Freight Transportation; Planning and Forecasting; Security and Emergencies

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-03740

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:25AM