A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The analysis of big data is deemed to define a new era in urban research, planning and policy. Real-time data mining and pattern detection in high-frequency data can now be carried out at a large scale. Novel analytical practices promise smoother decision-making as part of a more evidence-based and smarter urbanism. Critical voices highlight the dangers and pitfalls of instrumental, data-driven city making to urban governance. Less attention has been devoted to identifying the practical conditions under which big data can realistically contribute to addressing urban policy problems. In this paper, we discuss the value and limitations of big data for long-term urban policy and planning. We first develop a theoretical perspective on urban analytics as a practice that is part of a new smart urbanism. We identify a particular challenge that arises out of the opposed temporalities of high-frequency data and the long durée of the structural challenges facing cities. Drawing on empirical studies using big urban data, we highlight epistemological and practical challenges that arise from the analysis of high-frequency data for strategic purposes. We then formulate propositions on the ways in which urban analytics can inform long-term urban policy.
The analysis of big data is deemed to define a new era in urban research, planning and policy. Real-time data mining and pattern detection in high-frequency data can now be carried out at a large scale. Novel analytical practices promise smoother decision-making as part of a more evidence-based and smarter urbanism. Critical voices highlight the dangers and pitfalls of instrumental, data-driven city making to urban governance. Less attention has been devoted to identifying the practical conditions under which big data can realistically contribute to addressing urban policy problems. In this paper, we discuss the value and limitations of big data for long-term urban policy and planning. We first develop a theoretical perspective on urban analytics as a practice that is part of a new smart urbanism. We identify a particular challenge that arises out of the opposed temporalities of high-frequency data and the long durée of the structural challenges facing cities. Drawing on empirical studies using big urban data, we highlight epistemological and practical challenges that arise from the analysis of high-frequency data for strategic purposes. We then formulate propositions on the ways in which urban analytics can inform long-term urban policy.
Smart cities, big data and urban policy: towards urban analytics for the long run
2021-02-01
Cities , 109 , Article 102992. (2021)
Article (Journal)
Electronic Resource
English
DDC:
710
TOWARDS GREEN SMART CITIES: IMPORTANCE OF URBAN FORESTRY AND URBAN VEGETATION
| DOAJ | 2020
Big data analytics for smart urban systems
| TIBKAT | 2023
Cities in transformation.Computational urban planning through big data analytics.
| BASE | 2021
Data analytics for smart cities
| TIBKAT | 2019