The real-time city? Big data and smart urbanism

By Rob Kitchin. GeoJournal, 2013

2,425 citations recorded by the source corpus.

Subfields: Information Systems, Media Technology, Transportation

View Paper: https://www.semanticscholar.org/paper/6e737a0e5ef29303760a565ba5e9d98510ab0976

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Citations in the corpus

Smart cities with big data: Reference models, challenges, and considerations (2018, methodology): “Similarly, the San Francisco government analyzed crime records to improve public security services (Lee, 2013), and the Rio de Janeiro government used data from cameras and sensors to address various concerns of the city such as weather, energy, and safety (Kitchin, 2014).”
Digital turn, digital geographies? (2018, background): “…notice, choice, consent, security, integrity, access, use and accountability are treated as redundant, with data being generated without consent and repurposed in the service of data-driven urbanism and the ‘data-security assemblage’ (Aradau and Blanke, 2015, Kitchin, 2014c; Shelton et al ., 2015).”
The challenges and limits of big data algorithms in technocratic governance (2016, background): “This concept builds on the premise that “all aspects of a city can be measured and monitored and treated as technical problems which can be addressed through technical solutions” (Kitchin, 2014, p. 9).”
The governance of smart cities: A systematic literature review (2018, methodology): “…to scale services/exchanges 2) Delineates SG as multiple stakeholder endeavor with strong ICT-based public participation and public-private collaboration 22 Kitchin (2014) Theoretical – Components 1) Details instrumentation of cities with digital devices and infrastructure that produce ‘big data’.”
Global Sustainable Development Report 2019 (2019, neutral): “640 For information on assessments to date, see UNCTAD, 2019b. 641 Kitchin, 2014 642 World Bank, 2015a. 643 Acuto et al., 2018.”
Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects (2016, neutral): “A smart ITS of a city for dynamically collecting, processing and disseminating real time traffic information would require information processing system of petabyte scale [46].”
Estimating the success of re-identifications in incomplete datasets using generative models (2019, background): “Table 1 and Supplementary Note 7 show that, at very small sampling fraction (below 0.1%), where the error is the largest, the error is mostly determined by the marginals, and converges after few hundred records when the exact marginals are known.”
The role of big data in smart city (2016, background): “(2010, 13-13 Dec. 2010). S4: Distributed Stream Computing Platform. Paper presented at the Data Mining Workshops (ICDMW), 2010 IEEE International Conference on. Operators Network. (2012). Network Functions Virtualization, An Introduction, Benefits, Enablers, Challenges and Call for Action. Paper pre”
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation (2018, background): “, 2012), and smart urbanism (Kitchin, 2014)—emerged, which come with vast amounts of data.”
Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics (2017, background): “OSN data will soon include geographic data along with OSN interaction, for example, geo-tag real-time geographic data [65].”
The ethics of smart cities and urban science (2016, background): “With respect to the former, the emphasis has been on the development of new data analytics that utilize machine learning techniques designed to process and analyse enormous datasets, such as data mining and pattern recognition, data visualization and visual analytics, statistical analysis, and predi”
Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework (2020, background): “The large amount of data processed by corporate systems within smart city networks, means that organisations and governance authorities will need to balance the benefits of data analytics with individual and societal rights to maintain trust in government (Kitchin 2014).”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “Kitchin [56] described smart city as a city that is vastly controlled and made up of ubiquitous computing whose economy and governance are driven by innovation and creativity.”