This paper proposes a method for designing a seamless centralized emergency supply network by integrating three sub-networks (shelter network, medical network, and distribution network) to support emergency logistics operations in response to large-scale natural disasters. The proposed method...

This work proposes a post-disaster demand-oriented emergency logistics operational model that aims at disaster relief–service distribution to maximize survivor resilience. Rooted in survival psychology and cognition theories, this work proposes a conceptual model which hypothesizes...

In this paper, train scheduling problem (TSCP) is discussed for the case of single-track railway corridor, in which variable sensitivity on train delay are discussed in detailed for different types of trains. The mathematical model is a complicated nonlinear mixed-integer programming. The object...

This study investigates the economic incentive-drivers used in various configurations in green supply chains. The configurations of competitive suppliers and integrated transportation are studied for recycled materials with low economic value but high environmental impact. Arguments are embodied...

Time-varying lane-changing fractions and queue lengths are important lane traffic characteristics which may exhibit significant changes in the presence of a lane-blocking incident. This paper describes a stochastic system modeling approach to estimate time-varying lane-changing fractions and...

This study presents a reference-dependent Hotelling model for analyzing airline competition in pricing and green transportation investment, as well as the resulting financial performance under the European Union emission trading scheme. One feature of the proposed methodology is that it embeds...

After a disaster, a huge number of homeless victims should be evacuated to temporary resettlement sites. However, because the number of temporary shelters is insufficient, as are shelter building capabilities, victims must be evacuated and resettled in batches. The perceived psychological...

Real-time prediction of the effects of freeway incidents on traffic congestion is urgently necessary for the development of advanced freeway incident management systems. This paper presents a stochastic estimation approach to real-time prediction of time-varying delays and queue lengths which...