Next Article in Journal
Characterization and Potential Use of Biochar for the Remediation of Coal Mine Waste Containing Efflorescent Salts
Previous Article in Journal
Retrofits for Energy Efficient Office Buildings: Integration of Optimized Photovoltaics in the Form of Responsive Shading Devices
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(11), 2098; doi:10.3390/su9112098

Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach

1
Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
2
School of Management, Shanghai University, Shanghai 200444, China
3
School of Administrative Studies, York University, Toronto, ON M3J 1P3, Canada
4
China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China
5
Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China
*
Author to whom correspondence should be addressed.
Received: 24 September 2017 / Revised: 8 November 2017 / Accepted: 14 November 2017 / Published: 15 November 2017
(This article belongs to the Section Sustainable Urban and Rural Development)
View Full-Text   |   Download PDF [4293 KB, uploaded 15 November 2017]   |  

Abstract

In recent years, extreme natural hazards threaten cities more than ever due to contemporary society’s high vulnerability in cities. Hence, local governments need to implement risk mitigation and disaster operation management to enhance disaster resilience in cities. Transforming existing open spaces within cities into emergency shelters is an effective method of providing essential life support and an agent of recovery in the wake of disasters. Emergency shelters planning must identify suitable locations for shelters and reasonably allocate evacuees to those shelters. In this paper, we first consider both the buildings’ post-disaster condition and the human choice factor that affect evacuees’ decision, and propose a forecasting method to estimate the time-varying shelter demand. Then we formulate an integrated location-allocation model that is used sequentially: an emergency shelter location model to satisfy the time-varying shelter demand in a given urban area with a goal of minimizing the total setup cost of locating the shelters and an allocation model that allocates the evacuees to shelters with a goal of minimizing their total evacuation distance. We also develop an efficient algorithm to solve the model. Finally, we propose an emergency shelters planning based on a case study of Shanghai, China. View Full-Text
Keywords: disaster planning; emergency shelters; urban disaster resilience; location-allocation model; time-varying shelter demand disaster planning; emergency shelters; urban disaster resilience; location-allocation model; time-varying shelter demand
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhao, L.; Li, H.; Sun, Y.; Huang, R.; Hu, Q.; Wang, J.; Gao, F. Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach. Sustainability 2017, 9, 2098.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top