Emerging platform urbanism in China: Reconfigurations of data, citizenship and materialities
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• Platform urbanism increasingly defines the ways in which cities develop for the future. • Platform urbanism is one of the latest developments of the smart city. • Chinese platform urbanism challenges currently held notions of urban citizenship and urban lifestyles. • China's urban platforms show domestic as well as international patterns of mobility.
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In recent years, AI applications have started to become an integral part of the city.
“In recent years, AI applications have been also started to become an integral part of the city.”
From The sustainability of artificial intelligence: an urbanistic viewpoint from the lens of smart and sustainable cities (2020) · cites this paper as [13]
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Flagged first, then by citations
Research works printed but not linked: 4
- Cowley, R., Caprotti, F., Ferretti, M., Zhong, C., 2018. Ordinary Chinese smart cities: Trhe case of Wuhan. In: Karvonen, A, Cugurullo, F, Caprotti, F (Eds.), Inside Smart Cities: Place. Politics and Urban Innovation London, Routledge, pp. 45-64.
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- Federico Caprotti is an associate professor at the University of Exeter''s Department of Geography, and is currently a fellow of the Alan Turing Institute. Over the past decade he has worked closely on eco-city and smart city projects in China and the EU including leading the 2015-18 €1.4m 'Smart Eco-Cities for a Green Economy (SMART-ECO)' re- search consortium involving researchers in the UK, the Netherlands, France, Germany and China. SMART-ECO is funded by the ESRC, China's NSFC, and the national research funding agencies of France, Germany, and the Netherlands. Federico holds a bachelor's and doctoral degree from Oxford University, and is a Fellow of the Higher Education Academy.
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Urban artificial intelligence: from automation to autonomy in the smart city
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- Authors
- Caprotti, F., & Liu, D.
- Affiliations
- University of Exeter (GB)
- Corresponding author
- Caprotti, Federico
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 151
- Pages
- 119690
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2954329179
- Cited by
- 70
- References
- 40
- Citations by year
- 2026: 18 · 2025: 7 · 2024: 8 · 2023: 7 · 2022: 7 · 2021: 11 · 2020: 11 · 2019: 1
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Technological Forecasting and Social Change (publishedVersion, cc-by)
- Open Research Exeter (University of Exeter) (acceptedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- Figshare (submittedVersion, cc-by-nc-nd)
- Funders
- National Natural Science Foundation of China
- Economic and Social Research Council (ES/L015978/2, numberES/L015978/2)
- Topics
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Social Sciences › Urban Studies › Urban Planning and Governance
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Keywords
- platform urbanism, smart cities, urban citizenship, urban mobility, data-driven urbanism, materiality, urban lifestyle, China
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