000 03505cam a2200481 a 4500
001 9781003230151
003 FlBoTFG
005 20240213122833.0
006 m o d
007 cr |n|||||||||
008 220925s2022 flu o 000 0 eng d
040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781000784619
_q(electronic bk.)
020 _a1000784614
_q(electronic bk.)
020 _a9781003230151
_q(electronic bk.)
020 _a1003230156
_q(electronic bk.)
020 _a9781000784633
_q(electronic bk. : EPUB)
020 _a1000784630
_q(electronic bk. : EPUB)
020 _z1032136197
020 _z9781032136196
024 7 _a10.1201/9781003230151
_2doi
035 _a(OCoLC)1345580587
035 _a(OCoLC-P)1345580587
050 4 _aQ335
072 7 _aTEC
_x061000
_2bisacsh
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aCOM
_x043000
_2bisacsh
072 7 _aUT
_2bicssc
082 0 4 _a006.3
_223/eng/20220929
245 0 0 _aArtificial intelligence perspective for smart cities /
_cedited by Vahap Tecim, Sezer Bozkus Kahyaoglu.
260 _aBoca Raton :
_bCRC Press,
_c2022.
300 _a1 online resource
520 _aThe concept of a "smart city" is used widely in general; however, it is hard to explain because of the complexity and multidimensionality of this notion. However, the essential qualification for being a smart city is to achieve "sustainable social, environmental, and economic development" and boost the living standards of society based on Information and Communication Technology (ICT) and Artificial intelligence (AI). AI in smart cities has become an important aspect for cities that face great challenges to make smart decisions for social well-being, particularly cybersecurity and corporate sustainability. In this context, we aim to contribute literature with a value-added approach where various AI applications of smart cities are discussed from a different perspective. First, we start by discussing the conceptual design, modeling, and determination of components for the sustainability of a smart city structure. Since smart cities operate on spatial-based data, it is important to design, operate, and manage smart city elements using Geographical Information Systems (GIS) technologies. Second, we define the structure, type, unit, and functionality of the layers to be placed on the GIS to achieve best practices based on Industry 4.0 components. Transportation is one of the key indicators of smart cities, so it is critical to make transportation in smart cities accessible for different disabled groups by using AI technologies. Third, we demonstrate what kinds of technologies should be used for which disabled groups in different transportation vehicles with specific examples. Finally, we create a discussion platform for processes and sub-processes such as waste management, emergency management, risk management, and data management for establishing smart cities including the financial and ethical aspects.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aArtificial intelligence.
650 0 _aSmart cities.
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
650 7 _aCOMPUTERS / Networking / General
_2bisacsh
700 1 _aTecim, Vahap.
700 1 _aKahyaoglu, Sezer Bozkus.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003230151
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c6113
_d6113