Comparison of Mode Choice Behavior for Work Tours and Non-work Tours Considering Trip Chain Complexity

This paper investigates mode choice behavior for work tours and non-work tours based on data from a within-day travel survey in Zhongshan, Guangdong province in China. The sample analyzed, consisting of 7,734 tours, was obtained by transforming raw trip data into tours and differentiating between work and non-work tours. Using multinomial logit models, the authors analyze mode choice for both work and non-work tours separately, while considering trip chain complexity – including number of stops, tour distance, monetary cost, and number of daily tours. The rho-squared measures of goodness of fit are much higher for work tours than for non-work tours, suggesting that non-work mode choice may be more diverse and less predictable. All socio-demographic characteristics significant for non-work tours are also significant for work tours, while gender and household size are significant only for work tours. Interestingly, an increase in the number of intermediate stops within non-work tours is associated with increased use of non-driving modes, but an increase within work tours is associated with decreased use for non-driving modes (bus and bicycle). Prior research that analyzes trip chain complexity has analyzed it for pooled data without distinguishing between non-work tours and work tours. The findings of this paper, when the authors account for this distinction, suggest that if intermediate stops increase, compared to choosing the car, respondents are more likely to choose non-driving modes (walk, bicycle, motorcycle, and bus) for non-work tours, whereas they are less likely to choose bicycle or bus for work tours.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB10 Traveler Behavior and Values. Alternate title: Comparison of Mode Choice Behavior for Work Tours and Nonwork Tours Considering Trip Chain Complexity.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Yun, Mei-Ping
    • Chen, Zhen-Huan
    • Liu, Jiang-Yong
  • Conference:
  • Date: 2014

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 20p
  • Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01514335
  • Record Type: Publication
  • Report/Paper Numbers: 14-0610
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 12 2014 12:33PM