Travel demand models have been providing decision-support for transportation infrastructure planning over the past half-century. However, with limited opportunities for new highway and transit infrastructure in congested areas, “demand-oriented” policy measures (e.g. travel demand management), which allow for more efficient usage of existing road and transit capacity, require improved methods o...

The key factor to increase enterprise profits and reduce the logistic costs is scientific and reasonable logistics demand forecasting, the accuracy of which can directly influence the effect of decision-making for an enterprise. In some instance, a single customer’s demand is irregular, while the demand in a region is comparatively more stable, so it can be better forecasted. In this paper, we ...

Demand-adaptive transit systems (DAS) display features of both traditional fixed-line bus services and purely on-demand systems, that is, they offer demandresponsive services within the framework of traditional scheduled bus transportation. Similarly to most transportation systems dedicated to serve several demands with the same vehicle, demand-adaptive transit systems involve a complex set of ...

In this paper we present methodologies for improving the demand-responsiveness of air transportation systems. The main ingredients are the flexibility in transportation capacity provided by an innovative aircraft and an integrated model where supply-demand interactions are explicitly formulated. The integrated model benefits from the simultaneous schedule planning and revenue management decisio...

The intensifying climate change comes along with the need to reduce greenhouse gas emissions significantly. The transport sector’s substantial role in this context leads to the imperative to decrease the fossil energy demand in transportation considerably. The contribution of single actions to reduce energy demand in transport has mostly been modeled in linearly structured scenarios. In consequ...

Keywords: logit model, cross-nested model, GEV model, random utility, transportation demand Swiss Transport Research Conference – STRC 2003 – Monte Verita

This paper studies a Stochastic Multi-Period Location-Transportation Problem (SMLTP) characterized by multiple transportation options, multiple demand periods and a stochastic stationary demand. We consider the determination of the number and location of the depots required to satisfy a set of customer’s demands, and the mission of these depots in terms of the subset of customers they must supp...

Transportation infrastructure significantly contributes to a nation’s prosperity by facilitating workers’ access to employers, consumers’ access to shopping and leisure activities, and firms’ access to capital, labour and potential customers. The public sector has generally provided the vast amount of a nation’s infrastructure – roadways, waterways, railways and airways – and expanded it to sat...

We prove that the combinatorial diameter of the skeleton of the polytope of feasible solutions of any m× n transportation problem is less than 12 (m + n). The transportation problem ( TP ) is a classic problem in operations research. The problem was posed for the first time by Hitchcock in 1941 [8] and independently by Koopmans in 1947 [11], and appears in any standard introductory course on op...

We prove that the combinatorial diameter of the skeleton of the polytope of feasible solutions of any m× n transportation problem is at most 8 (m+ n− 2). The transportation problem (TP ) is a classic problem in operations research. The problem was posed for the first time by Hitchcock in 1941 [9] and independently by Koopmans in 1947 [12], and appears in any standard introductory course on oper...