Call for Papers ---Special Issue of Transportation Science: Uncertainty in Logistics and Transportation Systems

Researchers have long recognized the practical importance of incorporating uncertainty into planning models for logistics and transportation systems. With recent advances in computational tools and techniques for solving such models, more and more researchers are building and solving them. The rise of “big data” and the resulting opportunity to understand and estimate the degree of uncertainty in many transportation problems will only accelerate this trend. Similarly, the large number of high-quality talks scheduled for the 2014 INFORMS Transportation Science and Logistics Society Workshop (also focused on this topic) indicates that there are very intense and rich research efforts in this area. In conjunction with the TSL workshop, this special issue intends to establish the landscape for the state-of-the-art in handling uncertainty in planning problems and to guide researchers in their future efforts. We anticipate articles covering results from a wide spectrum of research efforts, including models of novel applications, new ways to represent/model uncertainty in well-known applications, innovative and effective solution techniques for new or existing models, and analyses of how uncertainty impacts the plans organizations should execute. Applications of interest include (but are not limited to):