A joint model of destination and mode choice for urban trips: a disaggregate approach

作者：Seyedabrishami Seyedehsan; Shafahi Yousef^*

来源：Transportation Planning and Technology, 2013, 36(8): 703-721.

DOI：10.1080/03081060.2013.851507

• trip destination
• mode choice
• disaggregate joint model
• fuzzy decision tree
• Shiraz

Trip destination and mode choice are highly influenced by travelers%26apos; perceptions and behaviors; selecting a destination and a vehicle for a trip are two interdependent problems. This paper presents and applies a disaggregate joint model for traveler destination and mode choice. The choice model uses fuzzy set and probability theory to deal with the uncertainty embedded in travelers%26apos; perceptions and behaviors. The model is structured as a decision tree in which the fuzzy and non-fuzzy classification of influential variables regarding destination selection and mode choice expand the tree. The most influential explanatory variables among all the variables categorized for travelers%26apos; household, trip, and living zone specifications are selected based on the maximizing information. An aggregation method is designed to provide aggregate estimates for transportation planning based on the suggested disaggregate choice model. A data-set of over 9000 home-based morning peak-hour trips in Shiraz, a large city in Iran, is used for model construction and evaluation. When compared with a multinomial logit (MNL) model, the suggested models%26apos; estimates are more accurate than the traditional MNL model.

• 出版日期2013-12-1