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The Use of Big Data in Regenerative Planning

Author

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  • Dorota Kamrowska-Zaluska

    (Department of Urban Design and Regional Planning, Gdansk University of Technology, 80-384 Gdansk, Poland)

  • Hanna Obracht-Prondzyńska

    (Department of Urban Design and Regional Planning, Gdansk University of Technology, 80-384 Gdansk, Poland)

Abstract

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.

Suggested Citation

  • Dorota Kamrowska-Zaluska & Hanna Obracht-Prondzyńska, 2018. "The Use of Big Data in Regenerative Planning," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3668-:d:175460
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    References listed on IDEAS

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    Cited by:

    1. Neil Cuthill & Mengqiu Cao & Yuqi Liu & Xing Gao & Yuerong Zhang, 2019. "The Association between Urban Public Transport Infrastructure and Social Equity and Spatial Accessibility within the Urban Environment: An Investigation of Tramlink in London," Sustainability, MDPI, vol. 11(5), pages 1-18, February.
    2. Hanna Obracht-Prondzyńska & Ewa Duda & Helena Anacka & Jolanta Kowal, 2022. "Greencoin as an AI-Based Solution Shaping Climate Awareness," IJERPH, MDPI, vol. 19(18), pages 1-25, September.
    3. Yu Zhao & Guoqin Zhang & Tao Lin & Xiaofang Liu & Jiakun Liu & Meixia Lin & Hong Ye & Lingjie Kong, 2018. "Towards Sustainable Urban Communities: A Composite Spatial Accessibility Assessment for Residential Suitability Based on Network Big Data," Sustainability, MDPI, vol. 10(12), pages 1-18, December.

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