 Smart CitiesMayank Kejriwal ()
Chapter Chapter 22 in Handbook of Big Geospatial Data, 2021, pp 563-587 from Springer Abstract: Abstract Recent years have seen an increase in varied social and urban issues such as shortages, unequal resource allocations, and unpredictable weather and geopolitics. Advances in technology in both data management and collection (particularly from sensors and mobile devices), and Artificial Intelligence areas like Semantic Web and Natural Language Processing, present an unprecedented opportunity for addressing such social and urban problems without massive infrastructural investments. Within the context of an urban region, a ‘Smart City’ approach to these issues considers both the collective scope of individual problems and their interdependencies, and practical (including technological) steps that present a reasonable solution. In this chapter, we will describe both the scope of Smart Cities i.e. what defines a Smart City, according to various discussions in the literature, alternate definitions, nomenclatures and scope of Smart Cities, and the technologies and concerns that fall within the scope of making Smart Cities a commonplace reality. Special attention will be paid to the application of Artificial Intelligence and Big Data in implementing the Smart Cities vision. Date: 2021 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-55462-0_22 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-55462-0_22 Access Statistics for this chapter More chapters in Springer Books from Springer |
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