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Analysis of the Challenges in the Swedish Urban Planning Process: A Case Study about Digitalization
Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.ORCID iD: 0000-0003-3872-1316
AECOM, Madrid, Spain.
Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.
2022 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 14, no 24Article in journal (Refereed) Published
Sustainable development
Sustainable Development
Abstract [en]

While the populations of cities continue to grow, institutions are demanding more sustainability in urban development, leading to a great increase in the complexity of urban planning. The need to consider social, legal, environmental, and economic parameters challenges the traditional urban planning processing in favor of an optimized and automated process. Generative design has the potential to optimize the design phase by automatically generating spatial design solutions and analyzing them in the design phase. The objective of the present study is to analyze the traditional urban planning process and to compare it with a digitalized driven process by using generative design. This study uses a mixed approach with four research methods: document analysis, survey, interviews, and a case study based in Sweden. The critical analysis of the Swedish urban planning process makes it possible to define the main barriers to a digitalized process. Results also show the benefits of using generative design for a more sustainable and faster design process. Two main conclusions can be made from this study: institutional and organizational changes are necessary to achieve digitalization, and generative design proves to be a useful tool that should be considered to support the digitalization of urban planning.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 14, no 24
Keywords [en]
urban planning process, digitalization, generative design
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:hj:diva-59191DOI: 10.3390/su142416333ISI: 000902919000001Scopus ID: 2-s2.0-85144857998Local ID: GOA;intsam;848761OAI: oai:DiVA.org:hj-59191DiVA, id: diva2:1720300
Available from: 2022-12-19 Created: 2022-12-19 Last updated: 2023-01-27Bibliographically approved

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Nuñez Varela, ElenaMoscati, Annika

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