Multi-stage trips: An exploration of factors affecting mode combination choice of travelers in England. (September 2019)

• Record Type: Journal Article
• Authors: Basheer, Muhammad Aamir; van der Waerden, Peter; Kochan, Bruno; Bellemans, Tom; Raheel Shah, Syyed Adnan
• Is Part Of: Transport policy. Volume 81(2019)
• Page Start: 95
• Page End: 105
• Publication Date: 2019-09
• Subjects: Mode choice -- Multi-stage trips -- Mode combination -- Sustainable transport -- Multinomial logistic regression; Transportation and state -- Periodicals; Transportation -- Rates -- Periodicals; 388
• DOI: 10.1016/j.tranpol.2019.06.007
• Languages: English
• ISSNs: 0967-070X

Abstract

Abstract: A tremendous growth has been observed in the use of personal vehicles. Increase in private vehicle use has created many environmental, social and economic problems. A multi-stage trip can help to elevate the problems of delays, environmental degradation, and congestion. Multi-stage trips provide the benefits of smarter, cleaner and sustainable transport. This paper focuses on the organization of different multi-stage trips with respect to first mile, main stage, and last mile and factors that influence the choice of these mode combinations. A multinomial logistic regression (MNL) model is used to evaluate the factors that affect the choice of different mode combinations in a multi-stage trip. For most of the combinations, the trip purpose is significantly associated with mode choice for these combinations. In most cases, availability of the car results in a decline of probability for choosing a combination involving walk. The families with children prefer to take a combination involving a car or public transport at the first or last mile. This study only focuses on the mode combination of 3-stage trips so, an analysis can also be made for multi-stage trips having more than 3 stages. Highlights: The multi-stage trip is one of the key solutions to resolve the problem being faced due to high use of private vehicles. Multinomial logistic regression is used to evaluate the choice between different mode choice combination. Household income has an influence on the probability of specific mode involving public transport or car for a first and last mile. The families with children prefer to take combination involving a car or public transport at first or last mile. It is the matter of fact that one individual link is not enough to mode choice behavior rather combination of different mode is important.