http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
The intelligence of a city is the capacity to learn: to learn the past, its history and the culture of its territory. Unlike the smart city, we do not build a city from scratch and there is nothing, there is no smart city standard car intelligence is measured this ability to fit into a territorial dynamic, a story and a culture. Continuous learning through instantaneous feedback provides the digital to understand and map the urban system and driver.
Cover; Half-Title Page; Title Page; Copyright Page; Contents; Foreword; Inhabiting, Moving, Working, Meeting, Playing, Living at Last ... ; Introduction; 1. What Do We Mean by Smart City and Where Does This Idea Come From?; 1.1. Not-so-smart smart cities!; 1.2. The smoke and mirrors of smart cities; 1.3. Other mirrors for other smoke: cities of the creative classes; 1.4. So what is a smart city?; 2. The Challenges of Urban Development in the Context of the Third Industrial Revolution; 2.1. The demographic and economic challenges: toward a change in economic model.
2.2. Geopolitical challenges: the polar shift in development in favor of the south-west and the different strategies among industrialized and emerging countries2.3. Energy transfer: the fossil fuel curse is not about to disappear; 2.4. The six breakthroughs in urban development based on smart cities; 3. What Makes a City Smart?; 3.1. Lessons from medieval cities; 3.1.1. Architect-less cities?; 3.1.2. How do cities become unintelligent?; 3.2. A city is a system of life; 3.3. Smart territory; 3.3.1. Territory: an immaterial asset.
3.3.2. The territory secretes innovation (and not the other way around)3.3.3. The territorial dynamic in action; 3.4. Are metropolises smart territories?; 3.5. A city is not a collection of smarties; 3.5.1. A city is a living system ... ; 3.5.2. ... which we understand today through new approaches ... ; 3.5.3. ... at the heart of which the sciences of complexity ... ; 3.5.4. ... help conjugate internal semi-stability and external instability; 3.6. The dangers of a technocentric approach; 4. New Sciences of Cities; 4.1. The more or less sympathetic myths of the ideal city; 4.2. A city is an imbalanced system.
4.2.1. Definition of an urban ecosystem4.2.2. A city is a system in incomplete equilibrium; 4.2.3. What is a city's optimal size?; 4.2.4. Size and inequalities are correlated; 4.3. Smart city: an autopoietic system; 4.4. A city must be designed as a system of systems; 4.4.1. Modeling; 4.4.2. Emergence; 4.4.3. Evolution inside: the urban lifecycle management; 4.4.4. System architecture as a frame of representation; 4.4.5. The design method; 4.4.6. Integration process: more efficiency for less; 4.4.7. Integrating heterogeneous systems; 5. Smart City in Action.
5.1. Two cities that should not exist: Norilsk and Singapore5.1.1. Norilsk, the most polluted and polluting city in the world; 5.1.2. Singapore, the smart nation; 5.2. Pilot projects; 5.2.1. The African city; 5.2.2. The emergence of a territorial project through meaning: the case of Rhamna, in Morocco; 5.2.3. Casablanca as a prototype for remedying to the tentacular growth of cities; 5.2.4. Angola, Namibia: eco-design of a drinking water supply; 5.2.5. Urban problem and economic transition: the Russian case of monotowns; 5.3. The worksites of the smart city; 5.3.1. The power of data.
Includes bibliographical references and index.
London, UK : ISTE, Ltd. ; Hoboken, NJ : John Wiley & Sons, Inc., 2018
Information systems, web and pervasive computing series