The paper anticipates and proposes a version of the project for revitalisation Moscow district railway. Sources have been analysed to identify possible future scenarios risks identified which will be addressed in project. These include pessimistic forecasts such as an increase number urban dwellers their cultural contrast, social discontent, unemployment, negative aspects Fourth Industrial Revo...

Providing real-time crowding information in urban railways would enable informed travel decisions and encourage cooperative behavior of passengers, as well improve operating efficiency safety. However, the problem prediction is not trivial because unavailability ground-truth data, particularly for direct impact on passengers (e.g., denied boarding platforms). This paper proposes a data-driven m...

Understanding variations of heavy metals in atmospheric particles between different functional areas is significant for pollution control and urban planning in cities. To reveal pollution and spatial distribution of heavy metals in atmospheric particles from different urban functional areas in Shijiazhuang in North China, 43 settled dust samples were collected over the main urban area and heavy...

Human activity hotspots are the clusters of activity locations in space and time, and a better understanding of their functionality would be useful for urban land use planning and transportation. In this article, using trajectory data, we aim to infer the functionality of human activity hotspots from their scaling pattern in a reliable way. Specifically, a large number of stopping locations are...

the passenger line planning is a process of strategic long-term decision-making problem in the field of railway passenger planning. a line is a route between starting point and destination with certain stops, which has a certain frequency of train schedule. a new solution based on decomposition algorithm has been proposed in this paper, which is defined in a master problem and two sub problems....