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The study of urban systems has a long tradition in disciplines such as architecture, geography, civil engineering, economy and physics to name a few. However, the pervasive introduction of information technologies adding to the recent advances in network science and complexity are opening new research opportunities in this highly multidisciplinary field. The new technologies provide citizens with knowledge to make more informed decisions (e.g., regarding their travel behavior, energy and 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 remote working. At the same time, the penetration of ICT aa is turning individuals into passive and/or active 'sensors' that produce, exchange and consume and increasing amount of information, generating a variety of heteogeneous data on citizens' preferences and behaviors. As we move, travel, shop, etc., we leave digital footprints informing on our needs, choices and opinions. This feedback loop modifies urban dynamics, as well as opens 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 become pervasive in academia, and also in industry and public administration. The interest in new data-driven applications and decision-making tools for infrastructure and strategic planning is growing every day in both private and public sectors.
Following a series of successful satellites organized at previous ECCS/CCS events (UrbanNet2013 at ECCS13, CitiNet 2014 at ECCS14, UrbanNet2015 at NetSci 2015, UrbanNet2016 at CCS2016, UrbanSys17 at CCS2017, UrbanSys18 at CCS2018, UrbanSys19 at CCS2019, UrbanNet2020 at NetSci 2020, UrbanSys2021 at CCS2021), the objective of the UrbanSys2022 workshop is to create a space for exchanging cutting edge results and innovative ideas on how to address problems and opportunities related to urban systems applying network science and complex systems methods to both conventional and non conventional data. Particular attention will be devoted to new ICT-data approaches for improving the understanding of urban mobility networks and the definition of the urban space. These focuses may include land use, activity-driven analyses, city structure, socio-economic traits and characterization of the neighborhoods to name a few. Furthermore, attention will be paid to ad-hoc planning and management of urban infrastructures, transportation networks, energy and tourism planning, to mention other examples. |
