Disasters frequently disrupt transportation infrastructure, impeding the timely delivery of critical relief
supplies. For this, intermodal transportation can be a crucial solution for delivering these supplies,
especially when traditional road networks are compromised. However, the urgent need for immediate
relief often overshadows the environmental impact of humanitarian operations. To address this, a
mathematical model is proposed to optimize intermodal relief distribution while minimizing costs, unmet
demand, and carbon emissions. This model considers various transportation modes, disaster scenarios, and
the strategic location of relief facilities. By optimizing facility location, resource allocation, and
intermodal operations, the study aims to balance the immediate need for relief with long-term
environmental sustainability.
Author(s):
Aliza Sharmin | Graduate Student | University of Tennessee Knoxville Xueping Li | Professor | University of Tennessee Knoxville