A consolidated model of trip distribution

Grange, Louis de; Fernández, Enrique; de, Joaquín

doi:10.1016/j.tre.2009.06.001

Cited by 40 publications

(22 citation statements)

References 25 publications

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“…It was also shown that the level shift data aggregation significantly alter the values of the model parameters (Grange L. D., 2010). The distribution model best known is called transportation problem or Hitchcock (Hitchcock, 1941), in which the goods produced in the indicated origins to a number of destinations are provided at minimal cost.…”

Section: Cit2016 -Xii Congreso De Ingeniería Del Transportementioning

confidence: 99%

Model Estimates for Generation and Distribution From National Travels of Transport of Air Cargo Between Major Cities in Colombia

Cervera¹

2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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SUMMARYThis paper presents models of generation, extraction and distribution of travel for air cargo between the main cities of Colombia. To develop the work we use information of cargo movement in Colombia during 2012, from then, we make the performance analysis and modeling to estimate future behavior considering possible scenarios. The generation model analyzed statistical variables such as population, distance between the main cities of Colombia, the gross domestic product of the cities, indicators of industrial density, the level of unemployment, among other characteristics to determine their influence on transport domestic air cargo. For travel distribution model, including the gravitational, allowed to predict the behavior of air freight, under the hypothetical situation that the Colombian Caribbean coast will have a joint cargo airport that meets the needs of Barranquilla, Santa Marta and Cartagena. The results showed that despite the geographical situation of the cities, this is feasible, given that centralize the management of the three coastal cities in a specialized cargo airport could reduce generalized costs and encourage greater trade with the rest of the cities of Colombia, as demonstrated in the model.

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Section: Cit2016 -Xii Congreso De Ingeniería Del Transportementioning

confidence: 99%

Model Estimates for Generation and Distribution From National Travels of Transport of Air Cargo Between Major Cities in Colombia

Cervera¹

2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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“…The proposed stochastic equilibrium assignment model that captures route correlation is based on the following multi-objective optimization problem (other applications of multi-objective models in transportation can be found in [34,35,40] …”

Section: Mathematical Formulation Of Modelmentioning

confidence: 99%

A Maximum Entropy Fixed-Point Route Choice Model for Route Correlation

Grange

Raveau

González

2014

Entropy

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Abstract:In this paper we present a stochastic route choice model for transit networks that explicitly addresses route correlation due to overlapping alternatives. The model is based on a multi-objective mathematical programming problem, the optimality conditions of which generate an extension to the Multinomial Logit models. The proposed model considers a fixed point problem for treating correlations between routes, which can be solved iteratively. We estimated the new model on the Santiago (Chile) Metro network and compared the results with other route choice models that can be found in the literature. The new model has better explanatory and predictive power that many other alternative models, correctly capturing the correlation factor. Our methodology can be extended to private transport networks.

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“…Particularly prominent are the spatial trip distribution formulations such as the doubly constrained gravitational model proposed by [3] and its later modifications and extensions (see [4][5][6][7][8][9][10]). Other important applications of maximum entropy are the combined models which integrate the different transportation decisions including trip generation, destination choice, mode choice and route choice.…”

Section: Introductionmentioning

confidence: 99%

A Maximum Entropy Estimator for the Aggregate Hierarchical Logit Model

Donoso

Grange

González

2011

Entropy

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Abstract:A new approach for estimating the aggregate hierarchical logit model is presented. Though usually derived from random utility theory assuming correlated stochastic errors, the model can also be derived as a solution to a maximum entropy problem. Under the latter approach, the Lagrange multipliers of the optimization problem can be understood as parameter estimators of the model. Based on theoretical analysis and Monte Carlo simulations of a transportation demand model, it is demonstrated that the maximum entropy estimators have statistical properties that are superior to classical maximum likelihood estimators, particularly for small or medium-size samples. The simulations also generated reduced bias in the estimates of the subjective value of time and consumer surplus.

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A consolidated model of trip distribution

Cited by 40 publications

References 25 publications

Model Estimates for Generation and Distribution From National Travels of Transport of Air Cargo Between Major Cities in Colombia

Model Estimates for Generation and Distribution From National Travels of Transport of Air Cargo Between Major Cities in Colombia

A Maximum Entropy Fixed-Point Route Choice Model for Route Correlation

A Maximum Entropy Estimator for the Aggregate Hierarchical Logit Model

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