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

Author

Listed:
  • Ryuichi Kitamura
  • Cynthia Chen
  • Ram Pendyala
  • Ravi Narayanan

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

Suggested Citation

  • Ryuichi Kitamura & Cynthia Chen & Ram Pendyala & Ravi Narayanan, 2000. "Micro-simulation of daily activity-travel patterns for travel demand forecasting," Transportation, Springer, vol. 27(1), pages 25-51, February.
    • Handle: RePEc:kap:transp:v:27:y:2000:i:1:p:25-51
    DOI: 10.1023/A:1005259324588
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