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The Use of Big Data in Regenerative Planning

Department of Urban Design and Regional Planning, Gdansk University of Technology, 80-384 Gdansk, Poland
Authors to whom correspondence should be addressed.
Sustainability 2018, 10(10), 3668;
Received: 9 August 2018 / Revised: 7 October 2018 / Accepted: 11 October 2018 / Published: 13 October 2018
(This article belongs to the Special Issue Transition towards Low-Impact and Regenerative Human Settlements)
With the increasing significance of Big Data sources and their reliability for studying current urban development processes, new possibilities have appeared for analyzing the urban planning of contemporary cities. At the same time, the new urban development paradigm related to regenerative sustainability requires a new approach and hence a better understanding of the processes changing cities today, which will allow more efficient solutions to be designed and implemented. It results in the need to search for tools which will allow more advanced analyses while assessing the planning projects supporting regenerative development. Therefore, in this paper, the authors study the role of Big Data retrieved from sensor systems, social media, GPS, institutional data, or customer and transaction records. The study includes an enquiry into how Big Data relates to the ecosystem and to human activities, in supporting the development of regenerative human settlements. The aim of the study is to assess the possibilities created by Big Data-based tools in supporting regenerative design and planning and the role they can play in urban projects. In order to do this, frameworks allowing for the assessment of planning projects were analyzed according to their potential to support a regenerative approach. This has been followed by an analysis of the accessibility and reliability of the data sources. Finally, Big Data-based projects were mapped upon aspects of regenerative planning according to the introduced framework. View Full-Text
Keywords: Big Data; regenerative sustainability; assessment tools Big Data; regenerative sustainability; assessment tools
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MDPI and ACS Style

Kamrowska-Zaluska, D.; Obracht-Prondzyńska, H. The Use of Big Data in Regenerative Planning. Sustainability 2018, 10, 3668.

AMA Style

Kamrowska-Zaluska D, Obracht-Prondzyńska H. The Use of Big Data in Regenerative Planning. Sustainability. 2018; 10(10):3668.

Chicago/Turabian Style

Kamrowska-Zaluska, Dorota, and Hanna Obracht-Prondzyńska. 2018. "The Use of Big Data in Regenerative Planning" Sustainability 10, no. 10: 3668.

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