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作者

Jens Kandt;Michael Batty

来源

CITIES,Vol.109,Issue1,Article 102992

语言

英文

关键字

Big data;Mobilities;Smart cities;Urban analytics;Urban policy

作者单位

The Bartlett Centre for Advanced Spatial Analysis (CASA), University College London (UCL), Gower Street, London WC1E 6BT, UK;The Bartlett Centre for Advanced Spatial Analysis (CASA), University College London (UCL), Gower Street, London WC1E 6BT, UK

摘要

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, while 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 the particular tension of opposed temporalities of high-frequency data and the long durée of 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 purposesand formulate propositions on the ways in which urban analytics can inform long-term urban policy.