Calendar

Abstract:

The increasing concentration of people in cities generates many problems of control in the management of resources and urban space. Urban sprawl, for example, generates serious environmental, social and economic challenges that pertain to congestion, increasing transport costs, and segregated urban environments. Making cities ‘smarter’ has the potential to provide a solution for handling more efficiently new sources of digital information, to gain a better understanding of urban dynamics and human mobility and last but not least, to search for more sustainable living conditions. In this context, the increasing availability of geolocated data generated by the use of information and communication technologies (ICT) provides new tools to analyse activity and mobility patterns in urban environments. In this paper, we present an overview of recent findings in empirical applications of such ‘big data’ to the systematic study of cities and their problems of movement. The paper concludes with a discussion on the potential of this new source of data and on how the coupling of big data analysis and computer modelling can open new horizons for the analysis of urban systems.

The introduction of ICT in techno-socio-economic systems, such as Smart Grids,
traffic management, food supply chains and others, transforms the role of simulation as a scientific method for studying these complex systems. The scientific focus and challenge in…

Abstract The digital revolution will make data abundant and cheap. Moving from a time of darkness into a digital age with information overload, we will need suitable filters. However, those who build these filters will determine what we see. This creates possibilities to…

Abstract: The emergence of “Big Data” has been a dramatic development in recent years.
Alongside it, a lesser-known but equally important set of concepts and practices has also
come into being—“Smart Data.” This paper shares the author’s understanding of what, why…

Abstract The popularity of social media and computer-mediated communication has resulted
in high-volume and highly semantic data about digital social interactions. This constantly
accumulating data has been termed as Big Social Data or Social Big Data, and various…

Individual computations and social interactions underlying collective behavior in
groups of animals are of great ethological, behavioral, and theoretical interest. While
complex individual behaviors have successfully been parsed into small dictionaries of …

Aside from becoming more complex and dynamic, manufacturing supply chains
must be capable in adapting to disruptive events caused by natural and man-made
disasters. Risk analysis is an aid in developing mitigation policies to achieve a resilient …

For the common sense services provided according to the space emotion, we
developed a user motion-based image parameters extraction system. The system is to infer
the space emotion in accordance with extraction results of the image parameters. The real-…

Complexity Science, which can be defined as the science that studies complex systems and
emergent phenomena through the construction of computational models, has for decades
proved to be useful to the understanding and description of quite diverse scientific…

In this paper, a new lattice hydrodynamic model (LH model) of traffic flow under
consideration of reaction time of drivers and a corresponding feedback control scheme are
proposed. Based on the model, stability analysis is conducted through linear stability…