Disaster relief routing: Integrating research and practice

Luis E. De la Torre*, Irina S. Dolinskaya, Karen R. Smilowitz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

256 Scopus citations

Abstract

Disaster relief presents many unique logistics challenges, with problems including damaged transportation infrastructure, limited communication, and coordination of multiple agents. Central to disaster relief logistics is the distribution of life-saving commodities to beneficiaries. Operations research models have potential to help relief agencies save lives and money, maintain standards of humanitarianism and fairness and maximize the use of limited resources amid post-disaster chaos. Through interviews with aid organizations, reviews of their publications, and a literature review of operations research models in transportation of relief goods, this paper provides an analysis of the use of such models from the perspective of both practitioners and academics. With the complexity of disaster relief distribution and the relatively small number of journal articles written on it, this is an area with potential for helping relief organizations and for tremendous growth in operations research.

Original languageEnglish (US)
Pages (from-to)88-97
Number of pages10
JournalSocio-Economic Planning Sciences
Volume46
Issue number1
DOIs
StatePublished - Mar 2012

Funding

This work was funded by the Center for the Commercialization of Innovative Transportation Technology at Northwestern University , a University Transportation Center Program of the Research and Innovative Technology Administration of USDOT through support from the Safe, Accountable, Flexible, Efficient Transportation Equity Act (SAFETEA-LU).

Keywords

  • Disaster relief
  • Survey
  • Vehicle routing problem

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Economics and Econometrics
  • Strategy and Management
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research

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