The need to understand and forecast individual travel behavior over longer periods of time and space has placed tremendous stress on available data collection and modelling techniques. Traditional travel survey methods tend to focus exclusively on observed choices, using diary and stated preference techniques. However, improving our understanding requires more than just an improved accounting o...

Travel demand is well announced as a crucial component of transportation planning. This paper aims to develop a direct demand model, denoting a more acceptable abstraction of reality, for intercity passengers in daily work and leisure trips in Tehran province. The model utilizes combined estimation across the data source, collected in 2011, of travelers originating from ...

The Institute for Transport Studies at the University of Leeds is carrying out research about the reliability benefits from improved bus infrastructure. The study includes both demand and supply modelling, and it is hoped that the final stage of the project will include an economic analysis of the effects on reliability of different bus infrastructure improvement scenarios. Of the various measu...

The recent policy discussions about information technology in transport and trafficdemand management have increased the interest in activity-based approaches to the analysis oftravel behaviour, in particular in the modelling of household activity scheduling which is at thecore of many of the required changes in travel behaviour. The paper is a state-of-the-art reviewof conceptua...

This dissertation consists of five papers and an introduction. In Barriers in travel models, the focus is on modelling mobility in border regions, both borders within nations and between nations. We use travel surveys and networks from Sweden and Norway to model the barrier effect caused by the borders in the region between two counties on each side of the national border. In Identifying local ...

Despite the clear theoretical advantages of activity-based models travel behaviour relative to trip-based models, adoption such in planning practice has been slow. This editorial discusses some reasons underlying this fact, including “locking into” outmoded model structures and software challenges translating research advances into practice. It argues for more widespread an activity-scheduling ...