Information and communication technologies (ICT) are enjoying fast development which immediately translate into their market enhancements nowadays (1). ICT relaxes both space and time constraints while allowing instant information exchange. In terms of activity-based travel demand, ICT use might substitute, complement or modify individual activity-travel behavior at varying degrees. On the othe...

It can be argued that the main thinking in transport planning and policy making stem from neoclassical economics in which individuals are largely assumed to make rational, consistent, and efficient choices, and apply cognitive processes of decision making that maximise their economic utility. Research in behavioural sciences indicates that individuals’ choices in a wide range of contexts deviat...

This paper guides transport planners in making the best use of mobile phone traces, derived either from network data or smartphone app data. It suggests combining such new sources with conventional travel surveys whose sample size and cost could ultimately be reduced. In context a rapidly evolving mobility landscape, modes services available, big can help monitor behaviour change, learn quasi-e...

Abstract Travel demand estimation, as represented by an origin–destination (OD) matrix, is essential for urban planning and management. Compared to data typically used in travel the key strengths of social media are that they low-cost, abundant, available real-time, free geographical partition. However, also have significant limitations: population behavioural biases, lack important information...

Visualizing flows between origins and destinations can be straightforward when dealing with small numbers of journeys or simple geographies. Representing flows as lines embedded in geographic space has commonly been used to map transport flows, especially when geographic patterns are important as they are when characterising cities or managing transportation. However, for larger numbers of flow...

The regional travel demand models are generally macroscopic in nature and do not include traffic controls in the traffic assignment process. In travel demand models, the road capacities are kept fixed within the functional classification of roadways and free-flow-speeds are adjusted to accommodate the impacts of traffic controls and traffic operations. Part of the reason this approach is adopte...

This paper has developed and evaluated the implementation of an adapted Markov Chain modelling heuristic and simulation framework in the context of transportation research. In order to gain insight into the travel patterns of individuals and in the decision making that people use to make transport mode decisions, a new methodology is presented in this paper to extract knowledge from data. The p...

One notable issue to deal with when capturing the individualism of travel behaviors is the gender difference. An extensive body of research has widely acknowledged that women and men exhibit quite different travel and activity patterns. For example, findings have suggested that women tend to invest more time to family-sustaining activities and that women make more family-sustaining trips yet fe...