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UrbanNet 2016

21/09/2016 | Beurs van Berlage, Amsterdam

Scope and rationale:

The pervasive access to information is empowering citizens to make more informed decisions (e.g., regarding their travel behavior, shopping, energy and other resources consumption habits, etc.), as well as leading to new forms of social relationships and to the introduction of new activities such as e-shopping and teleworking. At the same time, the penetration of ICT is turning individuals into passive and/or active ‘sensors’ that produce, exchange and consume an increasing amount of information, generating a variety of heterogeneous data on citizens’ preferences and behavior. As we move, shop, travel, etc., we leave e-footprints informing on our needs, choices and opinions. This feedback loop is modifying urban dynamics, as well as opening new opportunities for understanding such dynamics and developing new approaches to the design and management of urban systems. In recent years, research on the analysis of non-conventional data sources has begun to jump from academia to industry and public administration, and the interest in new data-driven applications and decision-making tools for infrastructure and strategic planning is growing every day both in private and public sectors.

Following a series of successful satellites organised at previous ECCS/CCS events, (UrbanNet2013 at ECCS13, CitiNet 2014 at ECCS14, UrbanNet2015 at NetSci 2015), the objective of the UrbanNet2016 workshop as satellite of the CCS 2016 is to create a space for exchanging state-of-the-art results and innovative ideas on how to address the problems and opportunities opened by smart cities through complex systems theory and methodologies. In this sense, we have launched a call for contributions for the satellite. Particular attention will be devoted to new data-driven approaches for improving the planning and management of urban infrastructures, including land use, transportation, energy and tourism planning, to mention some examples.

Urban planning, transport, mobility, retail, multiplex and multilayer networks in cities, housing, tourism, energy, smart city, ICT, data analytics, urban modelling.