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Title:

Two-Stage Hurricane Shelter Location Model with Stochastic Demand and Capacity

Accession Number:

01658556

Record Type:

Component

Abstract:

This paper presents a stochastic mixed integer model that identifies optimal number and location of emergency shelters for hurricane evacuees. The model is defined in two stages- shelter locations are selected in the first stage and after the information of uncertainty of storm scenarios is obtained, the distribution of evacuees is determined in the second stage. The overall stochastic model minimizes shelter operating cost (first stage), the transportation cost between affected census block and shelter location, and cost of not satisfying evacuee demand (second stage). An accelerating algorithm relying on L-shaped method was developed to solve the problem. A case study of potential hurricane affected demand locations and candidate shelters in a county in Connecticut is presented to demonstrate the results and performance of the algorithm.

Supplemental Notes:

This paper was sponsored by TRB committee ABR30 Standing Committee on Emergency Evacuations. Alternate title: Two-Stage Hurricane Shelter Location Model with Stochastic Demand and Capacity for Hurricane Preparedness

Report/Paper Numbers:

18-05287

Language:

English

Authors:

Rahman, Ashrafur
Lownes, Nicholas E
Decker, Brett

Pagination:

18p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Geographic Terms:

Connecticut

Subject Areas:

Highways; Planning and Forecasting; Security and Emergencies

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-05287

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:20AM