Harnessing sensing systems towards urban sustainability transformation

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作者
Adrienne Grêt-Regamey
Michal Switalski
Nora Fagerholm
Silviya Korpilo
Sirkku Juhola
Marketta Kyttä
Niina Käyhkö
Timon McPhearson
Markus Nollert
Tiina Rinne
Niko Soininen
Tuuli Toivonen
Aleksi Räsänen
Elias Willberg
Christopher M. Raymond
机构
[1] Institute for Spatial and Landscape Development,Planning of Landscape and Urban Systems
[2] ETH Zürich,UTU Geospatial Labs, Department of Geography and Geology, Faculty of Science
[3] University of Turku,Helsinki Institute of Sustainability Science
[4] University of Helsinki,Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences
[5] University of Helsinki,Spatial Planning and Transportation Engineering Research Group, Department of Built Environment, School of Engineering
[6] Aalto University,Stockholm Resilience Centre
[7] Urban Systems Lab,Spatial Transformation Laboratories
[8] The New School,Center for Climate Change, Energy and Environmental Law, Law School
[9] Stockholm University,Digital Geography Lab, Department of Geosciences and Geography, Faculty of Science
[10] Cary Institute of Ecosystem Studies,Department of Economics and Resource Management, Faculty of Agriculture and Forestry
[11] Institute for Spatial and Landscape Development,Department of Landscape Architecture, Planning and Management
[12] ETH Zürich,undefined
[13] University of Eastern Finland,undefined
[14] University of Helsinki,undefined
[15] University of Helsinki,undefined
[16] Swedish University of Agricultural Sciences,undefined
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摘要
Recent years have seen a massive development of geospatial sensing systems informing the use of space. However, rarely do these sensing systems inform transformation towards urban sustainability. Drawing on four global urban case examples, we conceptualize how passive and active sensing systems should be harnessed to secure an inclusive, sustainable and resilient urban transformation. We derive principles for stakeholders highlighting the need for an iterative dialogue along a sensing loop, new modes of governance enabling direct feeding of sensed information, an account for data biases in the sensing processes and a commitment to high ethical standards, including open access data sharing.
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