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

Listed author(s):
  • Ryuichi Kitamura

    ()

  • Cynthia Chen
  • Ram Pendyala
  • Ravi Narayanan
Registered author(s):

    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

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    File URL: http://hdl.handle.net/10.1023/A:1005259324588
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    Article provided by Springer in its journal Transportation.

    Volume (Year): 27 (2000)
    Issue (Month): 1 (February)
    Pages: 25-51

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    Handle: RePEc:kap:transp:v:27:y:2000:i:1:p:25-51
    DOI: 10.1023/A:1005259324588
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/economics/regional+science/journal/11116/PS2

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