Participant Support Costs for Advancing Dynamic Relief Response: Integration of New Data Streams and Routing Models

  • Dolinskaya, Irina (PD/PI)

Project: Research project

Project Details


The response to the January 2010 Haitian earthquake demonstrated that a new era of disas-
ter relief characterized by an unprecedented use of digital technology to collect and disseminate
information had begun. The years since the earthquake have seen a deepening understanding of
the roles new technologies are already playing in disaster relief, as well as the severe challenges
involved in adequately putting these technologies to use. The goal of this project is to assess how
this rapidly growing availability of new types of data shortly after a disaster or during a crisis
can lead to better logistical decisions, and to facilitate integration of the data into humanitarian
logistics operations, such as relief distribution and search-and-rescue e�orts.

The proposed work follows and greatly expands on a research design implemented successfully in
our preliminary study on the use of text message data for urban search and rescue (USAR) teams
in Haiti. Over the past year we have conducted a preliminary study centered on incorporating real-
time information on road conditions, collapsed infrastructure and assistance requests from trapped
people into search-and-rescue operational models. The ultimate goal of such work is to provide
humanitarian assistance organizations with systematized, deployable methods of putting new data
streams directly to use on the ground while working within these data streams' limitations. In
the proposed work for the next three years, we plan to scale up and extend our work in this �eld
by introducing a new class of models, called adaptive orienteering problems with stochastic travel
times, that combine vehicle routing and optimal path �nding in a dynamic framework subject to
Effective start/end date8/1/137/31/18


  • National Science Foundation (CMMI-1265786)


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