Leveraging Smart City Technologies for Enhanced Real Estate Development: An Integrative Review

Smart Cities, Journal Year: 2025, Volume and Issue: 8(1), P. 10 - 10

Published: Jan. 7, 2025

This study aims to identify the added value of smart city technologies in real estate development, one most significant factors that would transform traditional into ones. In total, 16 utilized at both levels have been investigated. The research followed an integrative review methodology; is based on 168 publications. compiled results metadata analysis displayed state each technology’s values and usage scales. A total 131 were identified. These categorized life cycle sub-phases processes. Moreover, integration between these was revealed. proved are mature enough for practical use; therefore, developers, management, planners, experts should focus implementing them. City management invest Big Data geodata adopt several aspects required development. can influence stakeholders, enhance their decision-making which technology suit needs, provide recommendations who utilize Also, it provides a starting point stakeholders aim establish road map incorporating future estate.

Language: Английский

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5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives

IEEE Access, Journal Year: 2021, Volume and Issue: 10, P. 2987 - 3006

Published: Dec. 30, 2021

5G wireless communication systems provide massive system capacity with high data rates, very short low-latency, and ultra-high reliability, in addition to connection density a positive experience on smart cities the Internet of Things (IoT). Future networks are anticipated revolutionize typical applications such as enhanced mobile broadband services (EMBB), ultra-reliable low latency (uRLLC), machine-type communications (mMTC) anywhere everywhere. This rationalizes need investigate sustainable elements understand how can be more environmentally- friendly energy-efficient. paper aims act key enablers achieving sustainability cities, using macroscopic review. An overview several technologies used city enhance is presented. followed by investigating indicators that measure across environmental, social, economic dimensions; sub-dimensions energy efficiency, power consumption, carbon footprint, pollution, cost, health, safety, security. The results show majority research papers focus environmental dimensions (42%) when attempting address cities. findings also showed huge interest (37%) social (21%) well. Further, examining sub-dimensions, it was found most studies focused efficiency (20%), consumption (17%), cost (15%).

Language: Английский

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The Theoretical, Practical, and Technological Foundations of the 15-Minute City Model: Proximity and Its Environmental, Social and Economic Benefits for Sustainability

Energies, Journal Year: 2022, Volume and Issue: 15(16), P. 6042 - 6042

Published: Aug. 20, 2022

Conventional and emerging paradigms of urbanism require new responses under the current circumstances, especially in relation to integration sustainability dimensions technology advances. The escalating rate urbanization, coupled with climate emergency, fundamentally indeed disrupt challenges that research practice deal with, calling for adopting more innovative approaches urban planning design. With cities contributing around 65% Greenhouse Gas (GHG) emissions experiencing an unprecedented growth population, contemporary policy needs be redefined re-assessed accordingly. While numerous models, such as Compact City, Eco-City, Sustainable Smart have emerged response 15-Minute City has recently gained a steep popularity. This paper explores theoretical, practical, technological foundations particular focus on proximity dimension mixed land-use its environmental, social, economic benefits supported by smart technologies. We argue this evolving model potential gain expansion success regard building sustainable, efficient, resilient, equitable, inclusive line global agendas Development Goal (SDG) 11, it adds strategic value amalgam prevailing their synergies respect increasing while emphasizing environmental dimension.

Language: Английский

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Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: May 6, 2024

Abstract The United Nations’ 17 Sustainable Development Goals stress the importance of global and local efforts to address inequalities implement sustainability. Addressing complex, interconnected sustainability challenges requires a systematic, interdisciplinary approach, where technology, AI, data-driven methods offer potential solutions for optimizing resources, integrating different aspects sustainability, informed decision-making. Sustainability research surrounds various local, regional, challenges, emphasizing need identify emerging areas gaps AI models play crucial role. study performs comprehensive literature survey scientometric semantic analyses, categorizes problems, discusses sustainable use big data. outcomes analyses highlight collaborative inclusive that bridges regional differences, interconnection topics, major themes related It further emphasizes significance developing hybrid approaches combining techniques, expert knowledge multi-level, multi-dimensional Furthermore, recognizes necessity addressing ethical concerns ensuring data in research.

Language: Английский

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Telecom data analytics: Informed decision-making: A review across Africa and the USA

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(1), P. 1272 - 1287

Published: Jan. 19, 2024

Telecom data analytics has emerged as a pivotal tool for transforming raw into actionable insights, empowering telecom operators to make informed decisions and enhance the overall efficiency of their networks. This abstract provides an overview comprehensive review that explores landscape in both Africa USA. The delves diverse strategies, challenges, opportunities associated with these regions. It examines how advanced techniques, including machine learning artificial intelligence, are being leveraged extract valuable insights from vast datasets. comparative analysis highlights contextual differences regulatory environments, infrastructure development, technological landscapes influence adoption implementation analytics. In Africa, where is dynamic diverse, playing crucial role addressing connectivity optimizing network performance, expanding telecommunications services. also considers impact frameworks investment climates on deployment solutions. USA, mature market high adoption, investigates shaping decision-making processes, improving customer experiences, contributing development innovative landscape, dynamics, maintaining competitive edge. Throughout review, focus identifying best practices, lessons learned, cross-regional can inform future trajectory encapsulates broader themes offering glimpse critical played by industry across

Language: Английский

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Development and evaluation of an urban data governance reference model based on design science research

Government Information Quarterly, Journal Year: 2025, Volume and Issue: 42(2), P. 102025 - 102025

Published: April 2, 2025

Language: Английский

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Data-driven smart eco-cities and sustainable integrated districts: A best-evidence synthesis approach to an extensive literature review

European Journal of Futures Research, Journal Year: 2021, Volume and Issue: 9(1)

Published: Nov. 13, 2021

Abstract As materializations of trends toward developing and implementing urban socio-technical enviro-economic experiments for transition, eco-cities have recently received strong government institutional support in many countries around the world due to their ability function as an innovative strategic niche where test introduce various reforms. There are models eco-city based mainly on either following principles ecology or combining strategies sustainable cities solutions smart cities. The most prominent among these integrated districts data-driven eco-cities. latter model represents unprecedented transformative changes is currently undergoing light recent paradigm shift science technology brought by big data analytics. This motivated growing need tackle problematicity surrounding terms planning, development, governance approaches practices. Employing a combination both best-evidence synthesis narrative approaches, this paper provides comprehensive state-of-the-art thematic literature review new area significant gap itself that seeks fill together with what extent integration eco-urbanism urbanism addressed era data, driving factors behind it, forms directions it takes. study reveals district developments increasingly embracing compact city becoming common expansion route achieve sustainability. It also shows projects capitalizing technologies implement environmental, economic, social being accomplished strengths harnessing synergies ways enable improve performance respect sustainability its tripartite composition. turn means will change fundamental irreversible how be monitored, understood, analyzed, planned, designed, governed. However, poses risks drawbacks overcome order desired outcomes ecological broader sense. One key critical questions raised regard pertains very potentiality technocratic associated negative implications hidden pitfalls. In addition, shedding increasing adoption uptake eco-urbanism, assist policymakers planners assessing pros cons when effectuating ecologically transformations well stimulate prospective research further debates topic.

Language: Английский

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Eco-districts and data-driven smart eco-cities: Emerging approaches to strategic planning by design and spatial scaling and evaluation by technology

Land Use Policy, Journal Year: 2021, Volume and Issue: 113, P. 105830 - 105830

Published: Dec. 2, 2021

In recent years, the world has witnessed significant progress in implementing numerous eco-district and eco-city projects, which are under banner of experimentation or seen as sites innovation. Indeed, rise such initiatives serves a sign renewed attempts to experiment innovate designing urban futures an increasingly urbanized datafied society. light this, number alternative models eco-urbanism have been proposed by scholars promoted policy makers. The prominent among these sustainable districts data-driven smart eco-cities. At core is range compact ecological design strategies static dynamic conceptions spatial scaling. These intended produce boost benefits sustainability on basis set integrated approaches—increasingly supported big data technologies—as way overcome new challenges introduce solutions. Based two case studies conducted three ecologically technologically leading cities Europe—Stockholm, Malmö, Barcelona, this paper analyses discusses role relevance integrating density, mixed land use, greening, low-energy buildings emerging eco-districts; their scales context eco-cities; opportunities metabolism with respect evaluation eco-districts. This study shows that combining improves performance eco-districts dimensions sustainability, well paves for balanced integration producing synergistic effects. Also, highlights innovative potential enabling computing intelligence transforming scaling eco-cities through generating kind designs increase effects outcomes processes. Moreover, reveals advantages approach analysis flows resources environments relation district development. concludes planning holds great facilitating towards achieving goals thanks proven untapped technologies monitoring, understanding, analyzing processes systems real-time.

Language: Английский

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Data-Driven Smart Eco-Cities of the Future: An Empirically Informed Integrated Model for Strategic Sustainable Urban Development

World Futures, Journal Year: 2021, Volume and Issue: 79(7-8), P. 703 - 746

Published: Sept. 21, 2021

The eco-city is seenas a major force in the overall transition toward more sustainable urban development paradigm, acting as set of exemplary techno-environmental solutions for social transformation. However, scale and rate urbanization fundamentally disrupt challenges that eco-cities must contend with. This coupled with increased need to understand, plan, manage new innovative ways. On this account, transformative processes practices within are being highly responsive form data-driven urbanism effective way address overcome kinds designed solve. That is, increasingly embracing leveraging what smart cities have offer terms technologies applied an effort monitor, evaluate, improve their performance respect sustainability—under has been termed "data-driven eco-cities." aim paper develop integrated model strategic based on empirical research case studies. combines integrates leading global paradigms urbanism—namely eco-cities, data–driven cities, environmentally cities—in strategies solutions. main contribution study lies providing building future models development, well practical insights into developing planning change sustainability approaches. proposed serves facilitate progress achieving long-term goals those badging or regenerating themselves manifestly be become era big data.

Language: Английский

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An Urban Intelligence Architecture for Heterogeneous Data and Application Integration, Deployment and Orchestration

Sensors, Journal Year: 2024, Volume and Issue: 24(7), P. 2376 - 2376

Published: April 8, 2024

This paper describes a novel architecture that aims to create template for the implementation of an IT platform, supporting deployment and integration different digital twin subsystems compose complex urban intelligence system. In more detail, proposed Smart City has following main purposes: (i) facilitating in cloud environment; (ii) effectively storing, integrating, managing, sharing huge amount heterogeneous data acquired produced by each subsystem, using lake; (iii) exchange sharing; (iv) managing executing workflows, automatically coordinate run processes; (v) provide visualize required information. A prototype solution was implemented leveraging open-source frameworks technologies, test its functionalities performance. The results tests performed real-world settings confirmed could efficiently easily support subsystems, allowing them share integrate their select, extract, information user, as well promoting with other external systems, defining workflows orchestrate various involved analyses processes.

Language: Английский

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