Random and fuzzy utility models for road route choice

Quattrone, A.; Vitetta, Antonino

doi:10.1016/j.tre.2011.04.007

Cited by 58 publications

(28 citation statements)

References 30 publications

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“…The reduction of generalized costs obtained with the introduction of intermodality between the different basic modes, therefore, increases the efficiency of transport services in multimodal cycles by providing the resources for the profit of the MTO (Multimodal Transport Operator) [8][9][10].…”

Section: The Analytical Model Of Combined Transportmentioning

confidence: 99%

The terminal cycle time in road-rail combined transport

Russo

Sansone

2014

Energy and Sustainability V

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The object of this paper is the statistical study of some variables of the cycle of a road-rail intermodal terminal. The variables considered are the total average time of the terminal cycle, relative to the truck vehicle, and the number of vehicles entering the terminal. The study of the variables was carried out at the terminal of Verona, Quadrante Europa. The first part of the paper reports the execution of the surveys, the second regards the calibration of specific statistical models related to the variables.

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Section: The Analytical Model Of Combined Transportmentioning

confidence: 99%

The terminal cycle time in road-rail combined transport

Russo

Sansone

2014

Energy and Sustainability V

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“…Distribution channels models can be integrated with relief vehicles' paths and routes optimization models [14][15][16][17][18] and assignment models [19,24].…”

Section: Distribution Channelsmentioning

confidence: 99%

Models for humanitarian logistics

Russo

Trecozzi

2012

The Sustainable City VII

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Emergency logistics is a process to organize and distribute resources during emergency conditions in the area affected by a disastrous event. By means of emergency logistics is possible to reduce disaster impacts that are natural or anthropic, after an event has occurred. During emergency conditions planning is needed to continue evacuation activities after the time when the final effects occur and people cannot be rescued. For evacuation activities resources must be identified to allocate in the area affected of the disastrous event according to elementary work classes.In this paper we focus on resources, in particular we consider the relief vehicles and their distribution channels. We propose two distribution channel models: the first one is transhipment, when the relief vehicles go to the emergency area with one contact point; the second model is point to point, when the relief vehicles go to the emergency area without any contact point.

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“…This case, considering that a subset of paths in the choice sets is perceived by users, has been treated in literature. Two different phases can be distinguished [32,38]: 1) generation of a choice set and 2) path choice among the alternatives belonging to the choice set.…”

Section: One-to-onementioning

confidence: 99%