Disability is a serious social, cultural and economic problem, the solving of which requires both legal regulations and coordinated activities by the State. A constantly increasing number of the disabled is an important premise for undertaking actions aimed at complex rehabilitation of this population group, and their engagement in social and economic life. Creating possibilities for spending f...

This paper presents the Transport Disruption ontology, a formal framework for modelling travel and transport related events that have a disruptive impact on traveller’s journeys. We discuss related models, describe how transport events and their impacts are captured, and outline use of the ontology within an interlinked repository of the travel information to support intelligent transport systems.

This paper presents a methodology for developing a hybrid agent-based micro-simulation model to capture the impacts of commuter travel mode choices on a University campus transport network. The proposed methodology involves: (i) developing realistic population of commuter agents (students and staff); (ii) assigning activity lists and travel mode choices to agents using machine learning method; ...

in this research, first was identified suitable regions (considering ecological indexes) for intensive and extensive outdoor recreation and their various degrees using the usual tourism ecological model and applying gis. results showed that 297.223 hectares of park area have class 1 of extensive outdoor recreation potential, 86.465223 hectares class 2 of extensive outdoor recreation potential, ...

This article presents the results of a study exploring travellers’ preferences for middle-distance travel using Q-methodology. Respondents rank-ordered 42 opinion statements regarding travel choice and motivations for travel in general and for car and public transport as alternative travel modes. By-person factor analysis revealed four distinct preference segments for middle-distance travel: (1...

One of user's queries from navigation service is to find the nearest facility in terms of time. The facility that is being questioned by the user as a destination may have a queuing service system (e.g. bank), which means that the cost function of the shortest path includes the waiting time at the destination as well as the travel time. This research conducts in the zone 1 of Mashhad with Bank ...

In this paper, we present a multi-agent based simulation model for supporting the decision making in urban transport planning. The model can be used to investigate how different transport infrastructure investments and policy instruments will affect the travel choices of passengers. We have identified four main categories of factors influencing the choice of travel: cost, time, convenience, and...