The term intelligent city (IC) has been used with various meanings. At least five different descriptions of what an intelligent city is can be found in the literature:
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Intelligent cities evolve towards a strong integration of all dimensions of human, collective, and artificial intelligence available within a city. They are constructed as multi-dimensional agglomerations combining three main dimensions (Komninos 2006, 17-18; Komninos 2008, 122-123).
Thus the concept of ‘intelligent city’ integrates all the three aforementioned dimensions of the physical, institutional and digital spaces of an agglomeration. Consequently, the term ‘intelligent city’ describes a territory with (1) developed knowledge-intensive activities or clusters of such activities; (2) embedded routines of social co-operation allowing knowledge and know-how to be acquired and adapted;(3) a developed communication infrastructure, digital spaces, and knowledge / innovation management tools; and (4) a proven ability to innovate, manage and resolve problems that appear for the first time, since the capacity to innovate and to manage uncertainty are the critical factors for measuring intelligence.
Smart City is a relative concept. However, smart city research and literature seem putting more emphasis on embedded systems, sensors and interactive media, while intelligent cities rely more on collective intelligence / collaborative intelligence, innovation system, and web-based collaborative spaces. In any case both concepts try integrating the above mentioned three dimensions of urban space (physical, social, and digital).
An important issue in understanding intelligent cities is to describe their differences from other forms of digital spaces, namely the‘digital city’ and ‘intelligent environments’.
All intelligent cities are digital cities, but all digital cities are not intelligent (Komninos 2002, 195-201). The difference is in the problem solving capability of intelligent cities, while the ability of digital cities is in the provision of services via digital communication. Take the following examples: (1) the administration of a city -or a local community- offers online (via its web portal) services that already was providing offline. This is a typical case of digital city offering online services for the citizen. (2) A group of people /organizations creates new products / services using digital spaces of consultation and online collaboration among the citizens. This is a typical case of intelligent city creating services with the involvement of citizens (by the citizens). In the second case, the digital space becomes a tool that contributes to the capacity of the community to use collective intelligence and engineer new solutions to people needs.
As general rule, we may say that in services provision by local administrations, digital cities are placed downstream between the public authority and the citizen as recipient of services (as digital marketplaces); while intelligent cities are placed upstream between the citizens and the public authority, enabling co-creation and co-design of services (as Living lab). This view explains why the main building blocks of intelligent cities are related to innovation and problem solving processes, such as competitive intelligence, technology absorption, collaborative product development, and new product promotion.
Intelligent environments are digital spaces in which the digital interaction goes out of the computer and becomes embedded into buildings and infrastructures of the city. Intelligent environments can be combined both to digital cities, automating the delivery of services, and to intelligent cities as well, automating the collection and processing of information along new product / service development.
Intelligent cities create more effective urban systems capable of addressing contemporary challenges and urban problems. They create more innovative and competitive cities, based on knowledge clusters, people-led innovation, and global networking; offering higher capacity of monitoring and management of environmental issues; improved city transportation; more secure urban spaces. This greater effectiveness is based on solutions /platforms integrating human, collective and artificial intelligence (in other words urban activities, institutional capacity, and IT). Some major fields of intelligent city activation are:
------- Innovation economy ------- | ------- Urban infrastructure ----- | ----------- Governance ----------- |
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- Innovation in industries, clusters, districts of a city | - Transport | - Administration services to the citizen |
- Knowledge workforce: Education and employment | - Energy / Utilities | - Participatory and direct democracy |
- Creation of knowledge-intensive companies | - Protection of the environment / Safety | - Services to the citizen: Quality of life |
University research labs have developed prototypes and solutions for intelligent cities. MIT Smart Cities Lab [1] focuses upon intelligent, sustainable buildings, mobility systems (GreenWheel Electric Bicycle, Mobility-on-Demand, Citycar, Wheel Robots); the IntelCities [2] research consortium developed solutions for electronic government, planning systems and citizen participation; URENIO has developed a series of intelligent city platforms for the innovation economy [3] focusing on strategic intelligence, technology transfer, collaborative innovation, and incubation, while is offering, through its portal, a global watch on intelligent cities research and planning [4]; the Smart Cities Academic Network [5] is working on e-governance and e-services in the North Sea region.
Large IT and telecommunication companies such as CISCO, IBM, MS have developed new solutions and initiatives for intelligent cities as well. CISCO, launched the Global Intelligent Urbanization initiative [6] to help cities around the world using the network as the fourth utility for integrated city management, better quality of life for citizens, and economic development. Microsoft is working with Coventry University and Birmingham City Council on the Intelligent City Proof of Concept [7] which is an interoperable technology platform focusing on transport. IBM announced its SmarterCities [8] to stimulate economic growth and quality of life in cities and metropolitan areas with the activation of new approaches of thinking and acting in the urban ecosystem.
Intelligent (smart) cities are deploying online services in different sectors of cities - the local economy and development, environment, energy, transport, security, education, health, trade, housing, governance; and in different districts of cities - the CBD, financial, university, marketplace, port, airport, technology, and industrial districts.
These various domains of the intelligent city rely on a few knowledge processes, which are present regardless the sector /district of the city. Fundamental knowledge processes which sustain intelligent cities are: broadband communication, interactive services, use of smart devices and agents, intelligence gathering, creative behavior, collective intelligence, upgrade of skills, innovation, monitoring and measurement. Integration is a key-factor, enabling the above processes to work together and create environments more efficient in collaborative problem-solving and innovation. See also spatial intelligence of cities.
Recent publications on intelligent cities stress the convergence of innovation systems and virtual environments in creating global systems of innovation (Bell et al. 2009;[9] Komninos 2008;[10] IJIRD 2009).[11] As open innovation theory came to show, the emphasis has now shifted from the internal in the company innovation process to external innovation networks and knowledge environments, which have now taken on global dimensions. Virtual spaces and embedded systems are generating a wave of new hybrid environments (global digital ecosystems, living labs, i-hubs, COINs, smart cities, e-gov,digital cities, u-communities, intelligent environments, etc.) which amplify networking, experimentation and innovation on a global scale.