Micro-simulation of daily activity-travel patterns for travel demand forecasting

Ryuichi Kitamura (), Cynthia Chen, Ram Pendyala and Ravi Narayanan

Transportation, 2000, vol. 27, issue 1, 25-51

Abstract: The development and initial validation results of a micro-simulator for the generation of daily activity-travel patterns are presented in this paper. The simulator assumes a sequential history and time-of-day dependent structure. Its components are developed based on a decomposition of a daily activity-travel pattern into components to which certain aspects of observed activity-travel behavior correspond, thus establishing a link between mathematical models and observational data. Each of the model components is relatively simple and is estimated using commonly adopted estimation methods and existing data sets. A computer code has been developed and daily travel patterns have been generated by Monte Carlo simulation. Study results show that individuals' daily travel patterns can be synthesized in a practical manner by micro-simulation. Results of validation analyses suggest that properly representing rigidities in daily schedules is important in simulating daily travel patterns. Copyright Kluwer Academic Publishers 2000

Keywords: daily activity-travel patterns; forecasting; micro-simulation; synthetic travel patterns (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (28)

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DOI: 10.1023/A:1005259324588

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