A Study of the Travel Mode Choice Model of Chinese Urban Elderly

This paper is based on resident travel survey data in Jinan City using a disaggregate model and conducts exploratory research related to the travel mode choice behavior of the elderly. The results show that age, gender, having a driver's license and a monthly pass, number of bikes and electric cars in the family, travel purpose, travel distance, travel time, and other variables have an important impact on the travel mode choice of the elderly. After determining the characteristics of the variables, the parameters of the model were calibrated. According to the model calibration results, combined with the sample data used in the parameter calibration, the future travel choice probability of the elderly was predicted. The result of personal choice was calculated using aggregate analysis after predicting the average probability of all types of travel modes and comparing them with the actual survey sample selection ratio. The final model errors were below 2 percent, which is within the allowable range, so the model parameter calibration is effective.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 42-48
  • Monograph Title: Challenges and Advances in Sustainable Transportation Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01526813
  • Record Type: Publication
  • ISBN: 9780784413364
  • Files: TRIS, ASCE
  • Created Date: May 15 2014 3:01PM