000 02312nam a2200349Ia 4500
001 3150
008 230305s2022 xx 000 0 und d
020 _a9780128211229
040 _cTBS
041 _aeng
043 _aen_UK
245 0 _aImplementing data-driven strategies in smart cities
260 _bElsevier,
_c2022
300 _axxiii, 232 p.
500 _aa roadmap for urban transformation
520 _aImplementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven urban interventions. The book opens by exploring the revolution that big data, data science, and the Internet of Things are making feasible for the city. It explores alternate topologies, typologies, and approaches to operationalize data science in cities, drawn from global examples including top-down, bottom-up, greenfield, brownfield, issue-based, and data-driven. It channels and expands on the classic data science model for data-driven urban interventions - data capture, data quality, cleansing and curation, data analysis, visualization and modeling, and data governance, privacy, and confidentiality. Throughout, illustrative case studies demonstrate successes realized in such diverse cities as Barcelona, Cologne, Manila, Miami, New York, Nancy, Nice, São Paulo, Seoul, Singapore, Stockholm, and Zurich. Given the heavy emphasis on global case studies, this work is particularly suitable for any urban manager, policymaker, or practitioner responsible for delivering technological services for the public sector from sectors as diverse as energy, transportation, pollution, and waste management.
590 _bEbook available on TBS Databases.
630 _aTD
_913128
650 _aData-driven
_913129
650 _aBig data
_95432
650 _aData science
_913130
650 _aSmart cities
_913131
650 _aUrban transformation
_913132
700 _aCarrasco-Farré, Carlos
_eAutor
_913133
700 _aGrimaldi, Didier
_eAutor
_913134
856 _uhttps://www-sciencedirect-com.hub.tbs-education.fr/book/9780128211229/implementing-data-driven-strategies-in-smart-cities
902 _a1565
905 _am
911 _ahttps://biblioteca.tbs-education.es/portadas/9780128211229.jpg
942 _a1
_2lcc
999 _c3000
_d3000