Using road GIS (geographical information systems) data and travel demand data for two U.S. urban areas, the dynamical driver sources of each road segment were located. A method to target road clusters closely related to urban traffic congestion was then developed to improve road network efficiency. The targeted road clusters show different spatial distributions at different times of a day, indi...

In this paper, we are interested in routing vehicles to minimize unmet demand under uncertainty. Such a problem arises in situations with large demand or tight deadlines, so that routes that satisfy all demand points are difficult or impossible to obtain. An important application is the distribution of medical supplies to respond to large-scale emergencies, such as natural disasters or terroris...

Understanding the public transportation users’ preferences to long-distance travel modes would contribute to reasonable developing policies and resource allocation. This paper aims to explore the influencing mechanism of potential factors on the long-distance travel mode choice. A survey was conducted to collect the data. The analysis of variance (ANOVA) approach was applied to analyze the corr...

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...

One of the basic goals of tourism demand modelling is to estimate income and/or price elasticities, which can then be used in developing better informed public and private policies. The focus of econometric studies is to determine the extent to which the data support a particular theory. In reviews of empirical studies on international tourism demand and its determinants, Lim (1999, 2006) argue...

In this paper, we are interested in routing vehicles to minimize unmet demand with uncertain demand and travel time parameters. Such a problem arises in situations with large demand or tight deadlines, so that routes that satisfy all demand points are difficult or impossible to obtain. An important application is the distribution of medical supplies to respond to large-scale emergencies, such a...

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 ...