Analysis of Combined Modes Choice Characteristic of Non-Motorized Modes and Motorized Modes

Non-motorized modes are those whose speeds are slower than motorized modes, represented as walking, bicycles and electric bicycles. With the expansion of urban size, non-motorized modes could not meet the residents’ need of trips, so more people would like to choose motorized modes. The research took trip chain as a unit based on data from a within-day travel survey in Zhongshan, Guangdong province in China. According to the cooperation of non-motorized modes and motorized modes, there are four types for the cooperation, including “non-motorized + non-motorized”, “motorized + motorized”, “non-motorized + motorized (mainly non-motorized modes with longer distance)”, “non-motorized + motorized (mainly motorized modes with longer distance)”. In order to clear the influencing factors of combined modes choice, after preliminarily analyzing the characteristic of trip chain attributes including trip purpose, departure time, consumed time, distance and stops, the research used disaggregate model Multinomial Logistic regression model to build a combined mode choice model for combined modes. The results show age, gender, occupation, personal income, the ownership of transport tools, trip purpose, trip chain consumed time have different significant influence on mode choice. Those with low personal income prefer to choose combined mode with non-motorized, and those with high income like choose motorized mode or combined mode with motorized, so the service level of non-motorized mode should be improved to attract more people with high income to use. And especially those who have private car prefer to choose “motorized + motorized” combined mode, so the service level of “non-motorized + motorized” combined mode should be improved to attract more private car owner.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 280-291
  • Monograph Title: ICTE 2015

Subject/Index Terms

Filing Info

  • Accession Number: 01578856
  • Record Type: Publication
  • ISBN: 9780784479384
  • Files: TRIS, ASCE
  • Created Date: Sep 21 2015 3:02PM