In the context of public transportation system, improving the service quality and robustness through minimizing the average passengers waiting time is a real challenge. This study provides robust stochastic programming models for train timetabling problem in urban rail transit systems. The objective is minimization of the weighted summation of the expected cost of passenger waiting time, its va...

The increased human mobility, combined with high use of private cars, increases the load on the environment and raises issues about the quality of life. The use of private cars lends to high levels of air pollution in cities, parking problems, noise pollution, congestion, and the resulting low transfer velocity (and, thus, inefficiency in the use of public resources). Public transportation serv...

Geographic information systems (GIS) are convenient and potentially powerful platforms for transportation and urban analysis. Most GIS-based tools for transportation and urban analysis continue a place-based representation that is increasingly ill-suited to answer important questions in theory, policy and practice. The increasing disconnection between people and places means that a people-based...

From our experiences in the past, we have seen that the growth of cities is very much dependent on the transportation networks. In mega cities, transportation networks determine to a significant extent as to where the people will move and houses will be built. Hence, transportation network data is crucial to an urban growth prediction system. Existing works have used manually derived distance b...

Abstract. Understanding urban mobility is a fundamental question for institutional organizations (transport authorities, city halls) and it involves many different fields like social sciences, urbanism or geography. With the increasing number of probes tracking human locations, like magnetic pass for urban transportation, road sensors, CCTV systems or cell phones, mobility data are exponentiall...

Rapidly growing urban areas tend to reveal distinctive spatial and temporal variations of land use/land cover in a locally urbanized environment. In this article, the author analyzes urban growth phenomena at a local scale by employing Geographic Information Systems, remotely sensed image data from 1984, 1994, and 2004, and landscape shape index. Since spatial patterns of land use/land cover ch...

Video analytics is emerging as a high potential area supplementing intelligent transportation systems (ITSs) with wide ranging applications from traffic flow analysis to surveillance. Object detection and classification, as a sub part of a video analytical system, could potentially help transportation agencies to analyze and respond to traffic incidents in real time, plan for possible future ca...

The modelling of land use change is a way to analyse future scenarios by modelling different future pathways. This study demonstrates the potential to explore and test the understanding of land use change relations by applying spatial data of different scales, coupled with socio-economic data. In the EU-FP7 research project PASHMINA (Paradigm Shift modelling and innovative approaches), three st...

In order to improve tourist satisfaction and promote the coordinated development of tourism and urban, this paper investigates an urban transportation network problem for tourism via lane reservation strategy. The focus of the problem is to select some lanes from the existing transportation infrastructure and convert them to reserved lanes for tourism so that tourist satisfaction can be ensured...

Contemporary urban areas are complex economic and transportation systems having a structured land use pattern. The utility value of land use is a measurement unit of the value of a specific land use zone in relation to the whole economic system. It is the effective economic output value of land use and it is defined according to concepts of accessibility level, economic level and spatial intera...