A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data

The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Simon Elias Bibri [verfasserIn] John Krogstie [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	data-driven smart sustainable cities sustainable cities smart cities compact cities eco-cities infrastructure strategic planning sustainability data-driven technologies

Übergeordnetes Werk:	In: Future Cities and Environment - Ubiquity Press, 2018, 7(2021), 1
Übergeordnetes Werk:	volume:7 ; year:2021 ; number:1

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.5334/fce.116

Katalog-ID:	DOAJ052609448

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ052609448
003	DE-627
005	20230308170058.0
007	cr uuu---uuuuu
008	230227s2021 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.5334/fce.116 \|2 doi
035			\|a (DE-627)DOAJ052609448
035			\|a (DE-599)DOAJ10c5403f4c444f30ac6d56b9c3bd38e2
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a NA9000-9428
050		0	\|a HT101-395
100	0		\|a Simon Elias Bibri \|e verfasserin \|4 aut
245	1	2	\|a A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data
264		1	\|c 2021
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies.
650		4	\|a data-driven smart sustainable cities
650		4	\|a sustainable cities
650		4	\|a smart cities
650		4	\|a compact cities
650		4	\|a eco-cities
650		4	\|a infrastructure
650		4	\|a strategic planning
650		4	\|a sustainability
650		4	\|a data-driven technologies
653		0	\|a Aesthetics of cities. City planning and beautifying
653		0	\|a Urban groups. The city. Urban sociology
700	0		\|a John Krogstie \|e verfasserin \|4 aut
773	0	8	\|i In \|t Future Cities and Environment \|d Ubiquity Press, 2018 \|g 7(2021), 1 \|w (DE-627)835889459 \|w (DE-600)2835215-4 \|x 23639075 \|7 nnns
773	1	8	\|g volume:7 \|g year:2021 \|g number:1
856	4	0	\|u https://doi.org/10.5334/fce.116 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/10c5403f4c444f30ac6d56b9c3bd38e2 \|z kostenfrei
856	4	0	\|u https://futurecitiesandenvironment.com/articles/116 \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2363-9075 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4392
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 7 \|j 2021 \|e 1

Indexfelder

author_variant	s e b seb j k jk
matchkey_str	article:23639075:2021----::nvloefraarvnmrssanbeiisfhftrataeirampornfr
hierarchy_sort_str	2021
callnumber-subject-code	NA
publishDate	2021
allfields	10.5334/fce.116 doi (DE-627)DOAJ052609448 (DE-599)DOAJ10c5403f4c444f30ac6d56b9c3bd38e2 DE-627 ger DE-627 rakwb eng NA9000-9428 HT101-395 Simon Elias Bibri verfasserin aut A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies. data-driven smart sustainable cities sustainable cities smart cities compact cities eco-cities infrastructure strategic planning sustainability data-driven technologies Aesthetics of cities. City planning and beautifying Urban groups. The city. Urban sociology John Krogstie verfasserin aut In Future Cities and Environment Ubiquity Press, 2018 7(2021), 1 (DE-627)835889459 (DE-600)2835215-4 23639075 nnns volume:7 year:2021 number:1 https://doi.org/10.5334/fce.116 kostenfrei https://doaj.org/article/10c5403f4c444f30ac6d56b9c3bd38e2 kostenfrei https://futurecitiesandenvironment.com/articles/116 kostenfrei https://doaj.org/toc/2363-9075 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2112 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2021 1
spelling	10.5334/fce.116 doi (DE-627)DOAJ052609448 (DE-599)DOAJ10c5403f4c444f30ac6d56b9c3bd38e2 DE-627 ger DE-627 rakwb eng NA9000-9428 HT101-395 Simon Elias Bibri verfasserin aut A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies. data-driven smart sustainable cities sustainable cities smart cities compact cities eco-cities infrastructure strategic planning sustainability data-driven technologies Aesthetics of cities. City planning and beautifying Urban groups. The city. Urban sociology John Krogstie verfasserin aut In Future Cities and Environment Ubiquity Press, 2018 7(2021), 1 (DE-627)835889459 (DE-600)2835215-4 23639075 nnns volume:7 year:2021 number:1 https://doi.org/10.5334/fce.116 kostenfrei https://doaj.org/article/10c5403f4c444f30ac6d56b9c3bd38e2 kostenfrei https://futurecitiesandenvironment.com/articles/116 kostenfrei https://doaj.org/toc/2363-9075 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2112 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2021 1
allfields_unstemmed	10.5334/fce.116 doi (DE-627)DOAJ052609448 (DE-599)DOAJ10c5403f4c444f30ac6d56b9c3bd38e2 DE-627 ger DE-627 rakwb eng NA9000-9428 HT101-395 Simon Elias Bibri verfasserin aut A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies. data-driven smart sustainable cities sustainable cities smart cities compact cities eco-cities infrastructure strategic planning sustainability data-driven technologies Aesthetics of cities. City planning and beautifying Urban groups. The city. Urban sociology John Krogstie verfasserin aut In Future Cities and Environment Ubiquity Press, 2018 7(2021), 1 (DE-627)835889459 (DE-600)2835215-4 23639075 nnns volume:7 year:2021 number:1 https://doi.org/10.5334/fce.116 kostenfrei https://doaj.org/article/10c5403f4c444f30ac6d56b9c3bd38e2 kostenfrei https://futurecitiesandenvironment.com/articles/116 kostenfrei https://doaj.org/toc/2363-9075 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2112 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2021 1
allfieldsGer	10.5334/fce.116 doi (DE-627)DOAJ052609448 (DE-599)DOAJ10c5403f4c444f30ac6d56b9c3bd38e2 DE-627 ger DE-627 rakwb eng NA9000-9428 HT101-395 Simon Elias Bibri verfasserin aut A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies. data-driven smart sustainable cities sustainable cities smart cities compact cities eco-cities infrastructure strategic planning sustainability data-driven technologies Aesthetics of cities. City planning and beautifying Urban groups. The city. Urban sociology John Krogstie verfasserin aut In Future Cities and Environment Ubiquity Press, 2018 7(2021), 1 (DE-627)835889459 (DE-600)2835215-4 23639075 nnns volume:7 year:2021 number:1 https://doi.org/10.5334/fce.116 kostenfrei https://doaj.org/article/10c5403f4c444f30ac6d56b9c3bd38e2 kostenfrei https://futurecitiesandenvironment.com/articles/116 kostenfrei https://doaj.org/toc/2363-9075 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2112 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2021 1
allfieldsSound	10.5334/fce.116 doi (DE-627)DOAJ052609448 (DE-599)DOAJ10c5403f4c444f30ac6d56b9c3bd38e2 DE-627 ger DE-627 rakwb eng NA9000-9428 HT101-395 Simon Elias Bibri verfasserin aut A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies. data-driven smart sustainable cities sustainable cities smart cities compact cities eco-cities infrastructure strategic planning sustainability data-driven technologies Aesthetics of cities. City planning and beautifying Urban groups. The city. Urban sociology John Krogstie verfasserin aut In Future Cities and Environment Ubiquity Press, 2018 7(2021), 1 (DE-627)835889459 (DE-600)2835215-4 23639075 nnns volume:7 year:2021 number:1 https://doi.org/10.5334/fce.116 kostenfrei https://doaj.org/article/10c5403f4c444f30ac6d56b9c3bd38e2 kostenfrei https://futurecitiesandenvironment.com/articles/116 kostenfrei https://doaj.org/toc/2363-9075 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2112 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2021 1
language	English
source	In Future Cities and Environment 7(2021), 1 volume:7 year:2021 number:1
sourceStr	In Future Cities and Environment 7(2021), 1 volume:7 year:2021 number:1
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	data-driven smart sustainable cities sustainable cities smart cities compact cities eco-cities infrastructure strategic planning sustainability data-driven technologies Aesthetics of cities. City planning and beautifying Urban groups. The city. Urban sociology
isfreeaccess_bool	true
container_title	Future Cities and Environment
authorswithroles_txt_mv	Simon Elias Bibri @@aut@@ John Krogstie @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	835889459
id	DOAJ052609448
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ052609448</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308170058.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2021 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.5334/fce.116</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ052609448</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ10c5403f4c444f30ac6d56b9c3bd38e2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">NA9000-9428</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">HT101-395</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Simon Elias Bibri</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">data-driven smart sustainable cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sustainable cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">smart cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">compact cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">eco-cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">infrastructure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">strategic planning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sustainability</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">data-driven technologies</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Aesthetics of cities. City planning and beautifying</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Urban groups. The city. Urban sociology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">John Krogstie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Future Cities and Environment</subfield><subfield code="d">Ubiquity Press, 2018</subfield><subfield code="g">7(2021), 1</subfield><subfield code="w">(DE-627)835889459</subfield><subfield code="w">(DE-600)2835215-4</subfield><subfield code="x">23639075</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:7</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.5334/fce.116</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/10c5403f4c444f30ac6d56b9c3bd38e2</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://futurecitiesandenvironment.com/articles/116</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2363-9075</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2021</subfield><subfield code="e">1</subfield></datafield></record></collection>
callnumber-first	N - Fine Arts
author	Simon Elias Bibri
spellingShingle	Simon Elias Bibri misc NA9000-9428 misc HT101-395 misc data-driven smart sustainable cities misc sustainable cities misc smart cities misc compact cities misc eco-cities misc infrastructure misc strategic planning misc sustainability misc data-driven technologies misc Aesthetics of cities. City planning and beautifying misc Urban groups. The city. Urban sociology A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data
authorStr	Simon Elias Bibri
ppnlink_with_tag_str_mv	@@773@@(DE-627)835889459
format	electronic Article
delete_txt_mv	keep
author_role	aut aut
collection	DOAJ
remote_str	true
callnumber-label	NA9000-9428
illustrated	Not Illustrated
issn	23639075
topic_title	NA9000-9428 HT101-395 A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data data-driven smart sustainable cities sustainable cities smart cities compact cities eco-cities infrastructure strategic planning sustainability data-driven technologies
topic	misc NA9000-9428 misc HT101-395 misc data-driven smart sustainable cities misc sustainable cities misc smart cities misc compact cities misc eco-cities misc infrastructure misc strategic planning misc sustainability misc data-driven technologies misc Aesthetics of cities. City planning and beautifying misc Urban groups. The city. Urban sociology
topic_unstemmed	misc NA9000-9428 misc HT101-395 misc data-driven smart sustainable cities misc sustainable cities misc smart cities misc compact cities misc eco-cities misc infrastructure misc strategic planning misc sustainability misc data-driven technologies misc Aesthetics of cities. City planning and beautifying misc Urban groups. The city. Urban sociology
topic_browse	misc NA9000-9428 misc HT101-395 misc data-driven smart sustainable cities misc sustainable cities misc smart cities misc compact cities misc eco-cities misc infrastructure misc strategic planning misc sustainability misc data-driven technologies misc Aesthetics of cities. City planning and beautifying misc Urban groups. The city. Urban sociology
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Future Cities and Environment
hierarchy_parent_id	835889459
hierarchy_top_title	Future Cities and Environment
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)835889459 (DE-600)2835215-4
title	A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data
ctrlnum	(DE-627)DOAJ052609448 (DE-599)DOAJ10c5403f4c444f30ac6d56b9c3bd38e2
title_full	A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data
author_sort	Simon Elias Bibri
journal	Future Cities and Environment
journalStr	Future Cities and Environment
callnumber-first-code	N
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2021
contenttype_str_mv	txt
author_browse	Simon Elias Bibri John Krogstie
container_volume	7
class	NA9000-9428 HT101-395
format_se	Elektronische Aufsätze
author-letter	Simon Elias Bibri
doi_str_mv	10.5334/fce.116
author2-role	verfasserin
title_sort	novel model for data-driven smart sustainable cities of the future: a strategic roadmap to transformational change in the era of big data
callnumber	NA9000-9428
title_auth	A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data
abstract	The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies.
abstractGer	The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies.
abstract_unstemmed	The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2112 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700
container_issue	1
title_short	A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data
url	https://doi.org/10.5334/fce.116 https://doaj.org/article/10c5403f4c444f30ac6d56b9c3bd38e2 https://futurecitiesandenvironment.com/articles/116 https://doaj.org/toc/2363-9075
remote_bool	true
author2	John Krogstie
author2Str	John Krogstie
ppnlink	835889459
callnumber-subject	NA - Architecture
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.5334/fce.116
callnumber-a	NA9000-9428
up_date	2024-07-04T01:43:03.353Z
_version_	1803610890808852481
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ052609448</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308170058.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2021 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.5334/fce.116</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ052609448</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ10c5403f4c444f30ac6d56b9c3bd38e2</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">NA9000-9428</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">HT101-395</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Simon Elias Bibri</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The conscious push for sustainable cities to be smarter and thus more sustainable in the era of big data is due to the problematicity surrounding their development planning approaches and operational management mechanisms, as well as the fragmentation of their designs and technologies. This has a clear bearing on their performance with respect to the contribution to and balancing of the goals of sustainability. This situation is compounded by the negative consequences of the expansion of urbanization, an irreversible global trend involving a multitude of environmental, social, economic, and spatial conditions that pose unprecedented challenges to policymakers and planners. The underlying argument is that more innovative solutions and sophisticated methods are needed to enable sustainable cities to tackle the kind of problems and complexities they embody. This in turn brings us to the question related to the weak connection between sustainable cities and smart cities as approaches as well as their extreme fragmentation as landscapes, both at the technical and policy levels. Therefore, sustainable cities need to embrace and leverage what smart cities have to offer so that they can optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability. This paper aims to develop a novel model for data-driven smart sustainable cities of the future, and in doing so, it provides a strategic planning process of transformative change towards sustainability. This model combines and integrates the prevailing paradigms of sustainable urbanism and the emerging paradigms of smart urbanism —based on the outcomes of the four case studies conducted on compact cities, eco-cities, data–driven smart cities, and environmentally data-driven smart sustainable cities. As the core of this aggregate model is how to bring about the different forms of infrastructural transformations needed to reach a vision of a sustainable future in the era of big data. Especially, it has become feasible to attain important improvements and advancements of sustainability by amalgamating sustainable cities and smart cities thanks to the proven role of advanced ICT and the untapped potential of data-driven technologies.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">data-driven smart sustainable cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sustainable cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">smart cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">compact cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">eco-cities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">infrastructure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">strategic planning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sustainability</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">data-driven technologies</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Aesthetics of cities. City planning and beautifying</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Urban groups. The city. Urban sociology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">John Krogstie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Future Cities and Environment</subfield><subfield code="d">Ubiquity Press, 2018</subfield><subfield code="g">7(2021), 1</subfield><subfield code="w">(DE-627)835889459</subfield><subfield code="w">(DE-600)2835215-4</subfield><subfield code="x">23639075</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:7</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.5334/fce.116</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/10c5403f4c444f30ac6d56b9c3bd38e2</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://futurecitiesandenvironment.com/articles/116</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2363-9075</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2021</subfield><subfield code="e">1</subfield></datafield></record></collection>
score	7.4000044

Nicht das Richtige dabei?

Schreiben Sie uns!

A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Roadmap to Transformational Change in the Era of Big Data

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?