TY - GEN
T1 - How smart is the smart city? Assessing the impact of ICT on cities
AU - Gath-Morad, Michal
AU - Schaumann, Davide
AU - Zinger, Einat
AU - Plaut, Pnina
AU - Kalay, Yehuda E.
N1 - Publisher Copyright: © Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - The notion of “smart cities” has gained much popularity over the past few years, fueled by emerging needs and opportunities, and accompanied by considerable political and commercial hype. But in fact, throughout their long history cities have always strived to become “smarter”, in order to mitigate existential challenges such as defending their citizens, providing them with water, disposing of waste, facilitating access, and more. They did so by making use of available (often new) technologies, such as new fortification methods, water supply, sewers, and transportation systems. The reciprocal relationship between cities and technology has, in turn, shaped urban form, function and use patterns. Cities, in the twenty-first century, are confronted by unprecedented social, economic and environmental challenges. In response, they are attempting to enlist Information and Communication Technologies (ICT) —the current “new” technology —as one of the leading strategies to mitigate urban problems, increase efficiency, reduce costs and enhance the quality of city life. It is the use of this particular technology which is viewed as making cities “smart.” History teaches us that every such new technology, while advantageous in some ways, also has unforeseen side-and after-effects. Due to the highly ubiquitous and distributed nature of ICT, it affects individuals directly and in highly personalized ways in terms of spatial use patterns, consumption habits, and social interactions. The large number of variables and interactions affected by ICT makes it difficult to predict its explicit and implicit effects on the spatial and social use patterns of people in cities. What will be the effects, side-and after-effects of integrating ICT in cities, as it becomes ubiquitous and more accessible to both city governments and citizens? How will it transform people’s interactions and behavioral patterns? How will it affect the form, function and —especially —the use of cities? In short —what will be ICT’s impact on cities, and how can we assess it? Current tools used by city planners fail to account for these new types of interactions and transformative behavioral patterns. New tools, capable of forecasting dynamically and at high resolution the behavior of many individual people in a city, are needed. This paper aims to provide a framework to assess the impact of ICT on the form and function of cities, through its effect on people’s spatial behavior patterns.
AB - The notion of “smart cities” has gained much popularity over the past few years, fueled by emerging needs and opportunities, and accompanied by considerable political and commercial hype. But in fact, throughout their long history cities have always strived to become “smarter”, in order to mitigate existential challenges such as defending their citizens, providing them with water, disposing of waste, facilitating access, and more. They did so by making use of available (often new) technologies, such as new fortification methods, water supply, sewers, and transportation systems. The reciprocal relationship between cities and technology has, in turn, shaped urban form, function and use patterns. Cities, in the twenty-first century, are confronted by unprecedented social, economic and environmental challenges. In response, they are attempting to enlist Information and Communication Technologies (ICT) —the current “new” technology —as one of the leading strategies to mitigate urban problems, increase efficiency, reduce costs and enhance the quality of city life. It is the use of this particular technology which is viewed as making cities “smart.” History teaches us that every such new technology, while advantageous in some ways, also has unforeseen side-and after-effects. Due to the highly ubiquitous and distributed nature of ICT, it affects individuals directly and in highly personalized ways in terms of spatial use patterns, consumption habits, and social interactions. The large number of variables and interactions affected by ICT makes it difficult to predict its explicit and implicit effects on the spatial and social use patterns of people in cities. What will be the effects, side-and after-effects of integrating ICT in cities, as it becomes ubiquitous and more accessible to both city governments and citizens? How will it transform people’s interactions and behavioral patterns? How will it affect the form, function and —especially —the use of cities? In short —what will be ICT’s impact on cities, and how can we assess it? Current tools used by city planners fail to account for these new types of interactions and transformative behavioral patterns. New tools, capable of forecasting dynamically and at high resolution the behavior of many individual people in a city, are needed. This paper aims to provide a framework to assess the impact of ICT on the form and function of cities, through its effect on people’s spatial behavior patterns.
KW - Agent based simulation
KW - Architectural design
KW - Form
KW - Function
KW - Human behavior simulation
KW - Smart cities
KW - Urban design
KW - Use
UR - http://www.scopus.com/inward/record.url?scp=85010845073&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-3-319-51957-9_11
DO - https://doi.org/10.1007/978-3-319-51957-9_11
M3 - منشور من مؤتمر
SN - 9783319519562
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 189
EP - 207
BT - Agent Based Modelling of Urban Systems - 1st International Workshop, ABMUS 2016 Held in Conjunction with AAMAS 2016, Revised, Selected, and Invited Papers
A2 - Bazzan, Ana
A2 - Padgham, Lin
A2 - Nagel, Kai
A2 - Namazi-Rad, Mohammad-Reza
A2 - Perez, Pascal
T2 - 1st International Workshop on Agent Based Modelling of Urban Systems, ABMUS 2016 Held in Conjunction with Autonomous Agents and Multi Agent Systems, AAMAS 2016
Y2 - 10 May 2016 through 10 May 2016
ER -