Transport mode information is essential for understanding people’s movement behavior and travel demand estimation. Current approaches extract travel information once the travel is complete. Such approaches are limited in terms of generating just-in-time information for a number of mobility based applications, e.g., real time mode specific patronage estimation. In order to detect the transport m...

Transport systems are full of interactions between the demand for travel and the supply costs. As the demand increases, congestion builds up in the network and the costs of travel increases. In response to increased costs of travel, people may alter their demand for travel in terms of change of route, departure-time, mode, or choose not to travel. This demand/supply interaction enables an econo...

In this paper we maximize the utility of a structural model of the demand for multi-destination non-work travel using maximum entropy method introduced by Shanon. A utility value is assigned when only partial information is available about the decision maker’s preferences. The maximum entropy utility solution embeds a large family of utility functions that includes the most commonly used functi...

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Understanding mechanisms underlie the individual’s daily time allocations is very important to understand the variability of individual’s time-space constraints and to forecast his/her daily activity participation. At most of previous studies, activity time allocation was viewed as allocating a continuous quantity (daily time budget) into multiple discrete alternatives (i.e. various activities ...

In this study, we examined factors associated with children being driven to school. Participants were 1603 students (aged 9-11 years) and their parents from 24 public primary schools in inner western Sydney, Australia. Students recorded their modes of travel to and from school for 5 days in a student survey. Parents recorded their demographic data, their attitudes to travel, and their modes of ...

One of the important problems studied in the area of travel behavior analysis is travel mode choice which is one of the four crucial steps in transportation demand estimation for urban planning. State of the art models in travel demand modelling can be classified as trip based; tour based; and activity based. In trip based approach, each individual trips is modelled as independent and isolated ...

Understanding people's attitudes towards proenvironmental travel will help to encourage people to adopt proenvironmental travel behavior. Revealed preference theory assumes that the consumption preference of consumers can be revealed by their consumption behavior. In order to investigate the influences on citizens' travel decision and analyze the difficulties of promoting proenvironmental trave...