The making of smart cities: Are Songdo, Masdar, Amsterdam, San Francisco and Brisbane the best we could build?

Yiğitcanlar, Tan; Han, Jung Hoon; Kamruzzaman, Md.; Ioppolo, Giuseppe; Marques, Jamile Sabatini

doi:10.1016/j.landusepol.2019.104187

Cited by 160 publications

(96 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The broad findings of our systematic literature review findings reveal that: (a) AI has an evident potential-but only if utilized responsibly [201]-to provide a positive change in our cities, societies, and businesses by promoting a more efficient, effective and sustainable transition/transformation [202,203], and; (b) Particularly, AI, with its technology, algorithms, and learning capabilities, can be a useful vehicle in automating the problem solving and decision-making processes that, in return, could reform urban landscapes and support the development of smarter cities [62].…”

Section: Discussionmentioning

confidence: 99%

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

et al. 2020

Self Cite

View full text Add to dashboard Cite

Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban locations that are enabled by community, technology, and policy to deliver productivity, innovation, livability, wellbeing, sustainability, accessibility, good governance, and good planning—has increased the demand for AI-enabled innovations. There is, nevertheless, no scholarly work that provides a comprehensive review on the topic. This paper generates insights into how AI can contribute to the development of smarter cities. A systematic review of the literature is selected as the methodologic approach. Results are categorized under the main smart city development dimensions, i.e., economy, society, environment, and governance. The findings of the systematic review containing 93 articles disclose that: (a) AI in the context of smart cities is an emerging field of research and practice. (b) The central focus of the literature is on AI technologies, algorithms, and their current and prospective applications. (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and urban management areas. (d) There is limited scholarly research investigating the risks of wider AI utilization. (e) Upcoming disruptions of AI in cities and societies have not been adequately examined. Current and potential contributions of AI to the development of smarter cities are outlined in this paper to inform scholars of prospective areas for further research.

show abstract

Section: Discussionmentioning

confidence: 99%

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…This attention of ICT leads urbanist mark Swilling to describe the sensor city as a form of algorithmic urbanism [154]. In this sense, concepts, such as big data analysis, ICT, sensors, real-time monitoring systems, smart infrastructures, IoT, represent necessary but not sufficient solutions [105,115,155]. The reconfiguration of the urban system expresses the need to integrate the environmental, social, economic dimensions of smart technologies into an integrated, efficient, and computerized urban context [6,49,156,157].…”

Section: Resultsmentioning

confidence: 99%

Understanding Sensor Cities: Insights from Technology Giant Company Driven Smart Urbanism Practices

D’Amico

L’Abbate

Liao

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

The data-driven approach to sustainable urban development is becoming increasingly popular among the cities across the world. This is due to cities’ attention in supporting smart and sustainable urbanism practices. In an era of digitalization of urban services and processes, which is upon us, platform urbanism is becoming a fundamental tool to support smart urban governance, and helping in the formation of a new version of cities—i.e., City 4.0. This new version utilizes urban dashboards and platforms in its operations and management tasks of its complex urban metabolism. These intelligent systems help in maintaining the robustness of our cities, integrating various sensors (e.g., internet-of-things) and big data analysis technologies (e.g., artificial intelligence) with the aim of optimizing urban infrastructures and services (e.g., water, waste, energy), and turning the urban system into a smart one. The study generates insights from the sensor city best practices by placing some of renowned projects, implemented by Huawei, Cisco, Google, Ericsson, Microsoft, and Alibaba, under the microscope. The investigation findings reveal that the sensor city approach: (a) Has the potential to increase the smartness and sustainability level of cities; (b) Manages to engage citizens and companies in the process of planning, monitoring and analyzing urban processes; (c) Raises awareness on the local environmental, social and economic issues, and; (d) Provides a novel city blueprint for urban administrators, managers and planners. Nonetheless, the use of advanced technologies—e.g., real-time monitoring stations, cloud computing, surveillance cameras—poses a multitude of challenges related to: (a) Quality of the data used; (b) Level of protection of traditional and cybernetic urban security; (c) Necessary integration between the various urban infrastructure, and; (d) Ability to transform feedback from stakeholders into innovative urban policies.

show abstract

“…In a rapidly populating, urbanizing and industrializing human civilization era-the Anthropocene-, sustainability of urban and rural areas is critical to secure the continuum of our existence on the planet [85][86][87]. Smart and sustainable development practices, especially at the dawn of the catastrophic natural events-that are caused by the human impacts on the ecosystem destruction such as Amazon and Australia bushfires-, are utmost importance to meet the sustainable development goals [88,89]. Within this perspective, this study concentrated on providing insights into the progress of the academic research in the field.…”

Section: Discussionmentioning

confidence: 99%

Scientific Landscape of Sustainable Urban and Rural Areas Research: A Systematic Scientometric Analysis

Sheikhnejad

Yiğitcanlar

2020

Sustainability

Self Cite

View full text Add to dashboard Cite

Urban and rural areas are the cradles of human development and civilization as all practical progress and feasible products have emerged from these places. Having a clear understanding of the sustainability of these areas, especially the progress of research in this field, is highly important. This study undertakes a comprehensive scientometric analysis to visualize and quantitatively measure the outcome of the scientific enterprise to construct sustainable urban and rural areas. The scientific productivity of recorded publications, their impacts, and their importance were systematically measured in diverse aspects by virtue of ten distinctive techniques. A critical assessment of the respected criteria for sustainable urban and rural areas is presented in order to further clarify its boundaries with other related topics, as well as providing a clear benchmark for future studies. After screening the search results between 1900 and 2018 on the Web of Science database, 7397 publications explicitly related to sustainable urban and rural areas were extracted and analyzed by the CiteSpace software via the relevant bibliometric indicators. The results of this study shed light on the trends and patterns, consisting of kernel research areas, countries, journals, institutions, and how these entities have been concatenated, inside the bibliographic records around sustainable urban and rural areas. The findings facilitate in identifying the barriers and weakness in the current sustainable urban and rural areas research, and consequently help in identifying auspicious directions for prospective investigations.

show abstract

The making of smart cities: Are Songdo, Masdar, Amsterdam, San Francisco and Brisbane the best we could build?

Cited by 160 publications

References 77 publications

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

Understanding Sensor Cities: Insights from Technology Giant Company Driven Smart Urbanism Practices

Scientific Landscape of Sustainable Urban and Rural Areas Research: A Systematic Scientometric Analysis

Contact Info

Product

Resources

About