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1976•Transportation Research Record Journal of the Transportation Research BoardRequires access

APPLICATION OF DISAGGREGATE TECHNIQUES TO CALIBRATE A TRIP DISTRIBUTION AND MODAL-SPLIT MODEL

Martin F Richards

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Abstract

A trip distribution and modal-split model for use in a transportation planning study for Tilburg, Netherlands (170,000 population), was developed by using disaggregate models. The procedures adopted were based on the functional similarity of multinomial logit and Wilson's entropy maximizing model. A model system with four modes and six market segments was developed by using readily available software. Although it was impossible to develop a simultaneous trip distribution and modal-choice model, a satisfactory sequential model system, in which the mode choice utility functions were used as generalized prices in the distribution model, was obtained. This paper describes the basic philosophy of the approach, some of the problems encountered, and some of the results. /Author/

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A trip distribution and modal-split model for use in a transportation planning study for Tilburg, Netherlands (170,000 population), was developed by using disaggregate models. The procedures adopted were based on the functional similarity of multinomial logit and Wilson's entropy maximizing model. A model system with four modes and six market segments was developed by using readily available software. Although it was impossible to develop a simultaneous trip distribution and modal-choice model, a satisfactory sequential model system, in which the mode choice utility functions were used as generalized prices in the distribution model, was obtained. This paper describes the basic philosophy of the approach, some of the problems encountered, and some of the results. /Author/

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Available abstract

A trip distribution and modal-split model for use in a transportation planning study for Tilburg, Netherlands (170,000 population), was developed by using disaggregate models. The procedures adopted were based on the functional similarity of multinomial logit and Wilson's entropy maximizing model. A model system with four modes and six market segments was developed by using readily available software. Although it was impossible to develop a simultaneous trip distribution and modal-choice model, a satisfactory sequential model system, in which the mode choice utility functions were used as generalized prices in the distribution model, was obtained. This paper describes the basic philosophy of the approach, some of the problems encountered, and some of the results. /Author/

Key concepts: Trip distribution, Modal, Mode choice, Computer science, Multinomial distribution, Multinomial logistic regression, Econometrics, Mode (computer interface)

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