This study proposes a two-stage stochastic programming model to plan the transportation of vital first-aid commodities to disaste affected are as during emergency response.Amulti-commodity,mult modal network flow for mulationis developed to describe the flow of material over anurban transportation network.Since it is difficult to predict the timing and magnitude of any disaster and its impact on the urban system, resource mobilization is treated in a random manner,and the resource requirements are represented as random variables.Furthermore,uncertainty a rising from the vulnerability of the transportation system lead stor and omarccapacities and supply amounts.Randomnessis represented by afinite sample of scenarios for capacity,supply and demand triplet.The two stages are defined with respectto information asymmetry,which discloses uncertainty during the progress of the response.The approachis validated by quantifying the expected value of perfect and stochastic information in problem instances generated out of actual data.