200711th World Conference on Transport ResearchWorld Conference on Transport Research SocietyRequires access

Estimation and Implementation of a Simultaneous Trip Generation Model for Multiple Travel Purposes – A New Approach

O I Larsen

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Abstract

This paper includes sub-models for access to car, mode/destination choice for 5 travel purposes and trip generation. A novel approach to trip generation is used. It is based on a model estimated as a Hurdle-Poisson model for the total number of sojourns simultaneously with a multinomial logit model for the distribution of sojourns by purpose. A special procedure converts sojourns to home based tours with one or two destinations. In our view the method used in RegMod represents a reasonable trade-off between realistic representation of travel behavior and execution speed for large scale travel demand models.

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What this paper is about

This paper includes sub-models for access to car, mode/destination choice for 5 travel purposes and trip generation. A novel approach to trip generation is used. It is based on a model estimated as a Hurdle-Poisson model for the total number of sojourns simultaneously with a multinomial logit model for the distribution of sojourns by purpose. A special procedure converts sojourns to home based tours with one or two destinations. In our view the method used in RegMod represents a reasonable trade-off between realistic representation of travel behavior and execution speed for large scale travel demand models.

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Available abstract

This paper includes sub-models for access to car, mode/destination choice for 5 travel purposes and trip generation. A novel approach to trip generation is used. It is based on a model estimated as a Hurdle-Poisson model for the total number of sojourns simultaneously with a multinomial logit model for the distribution of sojourns by purpose. A special procedure converts sojourns to home based tours with one or two destinations. In our view the method used in RegMod represents a reasonable trade-off between realistic representation of travel behavior and execution speed for large scale travel demand models.

Key concepts: Trip generation, Multinomial logistic regression, Computer science, Trip distribution, Poisson distribution, Destinations, Mode (computer interface), Travel time

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