Parameter Calibration of Combined Travel Demand Model Based on Improved SP Survey
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U491.1

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    Abstract:

    The combined travel demand model (CTDM) was introduced and a combined destination-mode choice model was established. The model parameters were estimated by applying stepwise maximum likelihood estimation method. According to joint use requirement of stated preference (SP) data and revealed preference (RP) data, the SP-off-RP survey method was improved. A web-based survey software named "web-based survey design and data collection platform of individual behavior " was developed to collect data, which was used to calibrate the parameters of the combined destination-mode choice model. Taking film-watching behavior of students in Jiading campus of Tongji University as example, the parameters of model were calibrated with SP/RP data. The results show that parameters calibrated by SP/RP data have better accuracy.

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YangChao, CaiYitian, HeShulin. Parameter Calibration of Combined Travel Demand Model Based on Improved SP Survey[J].同济大学学报(自然科学版),2013,41(9):1372~1377

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History
  • Received:September 27,2012
  • Revised:May 27,2013
  • Adopted:March 01,2013
  • Online: September 05,2013
  • Published:
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