The ultimate goal of travel behavior analysis is to gain a full understanding of why people travel and to develop quantitative capabilities that facilitate the prediction of travel behavior. Toward this end, the individual’s travel behavior has been examined in connection with her activity engagement, with the recognition that travel demand is a derived demand. Studies from this viewpoint are r...

Telecommuting means that employees work completely or sometime at home or at remote telecommuting centres instead of daily travel to work at regular offices. Impacts of telecommuting on transport are becoming significant. This paper reviews the growth of telecommuting and analyzes the necessity to evaluate the influence of telecommuting in transport planning and control. The transport network e...

Time-of-day modelling is an additional step to the conventional four-step Travel Demand Models (TDMs). Here, target obtain more detailed outputs over temporal dimension. With this step, daily (24-hour) travel demand distributed into a discrete number of time-windows.This paper aims identify most precise time windows that maximise trips fall within given time-window and minimise trip-tailing ass...

Activity-based models are a specific type of agent-based models widely used in transport and urban planning to generate and study travel demand. They deal with agents that structure their behaviour in terms of daily activity schedules: sequences of activity instances (such as work, sleep or shopping) with assigned start times, durations and locations, and interconnected by trips with assigned t...

The topic of intermodal passenger mobility has become more important during the last 20 years. As options increase in number and flexibility, it gets attractive to combine multiple modes on single trips. In addition, travel behavior is expected contribute less car dependent transport sector’s reduction greenhouse gas emissions. Creating improving conditions for such a requires planning with kno...