Introduction: Travel agencies may be consulted by intending travelers seeking pre-travel health advice. Travel agents should be equipped to deal with such queries and have access to a source of high quality travel health advice. This study aimed to establish the level of knowledge of travel health risks among Irish travel agencies. Methods: A web-based su...

An analysis was conducted to examine the market visibility of small aircraft as a transportation mode in competition with automobile and scheduled commercial air travel by estimating the pool of users that would potentially switch on-demand air travel due to cost/time saving. These new aircraft greatly increase the practicality of regional aircraft as a transportation mode that can avoid the co...

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 modal split model is one of the steps of the classical four-step travel demand planning. Predictive, descriptive, and prescriptive modal split models are essential to make a balance between travel demand and supply. To calibrate these models, it is necessary to detect and employ influential independent variables that are related to characteristics of travel modes, individual and family attr...

This paper aims to introduce a new modelling approach that represents departure time, destination and travel mode choice under a unified framework. Through it, it is possible to overcome shortages of the traditional 4-step model associated with the lack of introducing actual travellers’ behaviours. This objective can be achieved through adopting discrete 3-level Nested Logit model that represen...

This paper presents a multi-stage approach toward the robust classification of travel-modes from GPS traces. Due to the fact that GPS traces are often composed of more than one travel-mode, they are segmented to find sub-traces characterized as an individual travel-mode. This is conducted by finding individual movement segments by identifying stops. In the first stage of classification three ma...

2 Xing Su 3 Computer Science Department, 4 Graduate Center, City University of New York 5 New York, NY 10016 6 [email protected] 7 +1-(347)784-4035 8 9 Hernan Caceres 10 Industrial and Systems Engineering (ISE) 11 University of Buffalo, The State University of New York 12 Buffalo, NY 14260 13 [email protected] 14 +1-(716)645-2357 15 16 Hanghang Tong 17 School of Computing, Informatics, and...

Travel mode identification is one of the essential steps in travel information detection with Global Positioning System (GPS) survey data. This paper presents a Support Vector Classification (SVC) model for travel mode identification with GPS data. Genetic algorithm (GA) is employed for optimizing the parameters in the model. The travel modes of walking, bicycle, subway, bus, and car are recogn...