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Incorporating a Disaggregate Model for Trip Generation, Trip Distribution and Mode Choice

Ryosuke Ando, Shogo Kawakami, Naojiro Aoshima

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Abstract

A major innovation in the analysis of transportation demand since the mid-1970s is the development of disaggregate travel demand models based on discrete choice analysis. In the modelling of travel demand, disaggregate models allow us to introduce an individual’s attributes that influence travel behaviour, and to make more efficient use of the available individual data. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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What this paper is about

A major innovation in the analysis of transportation demand since the mid-1970s is the development of disaggregate travel demand models based on discrete choice analysis. In the modelling of travel demand, disaggregate models allow us to introduce an individual’s attributes that influence travel behaviour, and to make more efficient use of the available individual data. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Available abstract

A major innovation in the analysis of transportation demand since the mid-1970s is the development of disaggregate travel demand models based on discrete choice analysis. In the modelling of travel demand, disaggregate models allow us to introduce an individual’s attributes that influence travel behaviour, and to make more efficient use of the available individual data. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Trip distribution, Trip generation, Mode choice, Demand forecasting, Travel behavior, Discrete choice, Mode (computer interface), Transport engineering

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