Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Conclusions and the Future of City Information Modelling (CIM)
This conclusion chapter synthesizes critical insights from the multifaceted City Information Modelling (CIM) field, highlighting its transformative potential in shaping sustainable, resilient, and equitable urban landscapes. CIM emerges as a critical tool for data-driven decision-making, particularly in achieving sustainable urbanization aligned with global initiatives like the UN’s Sustainable Development Goals. The technology’s impact is far-reaching, extending from enhancing healthcare outcomes to optimizing energy management in buildings, thereby contributing to carbon neutrality. Advanced machine learning and multi-objective optimization techniques further augment CIM’s capabilities, offering nuanced solutions to complex urban challenges, including pandemics. Environmental dimensions are not overlooked; CIM proves invaluable for balancing urban development with nature conservation, particularly in mitigating heat island effects. The chapter also delves into the institutional implications of CIM, emphasizing its role in improving governance mechanisms and fostering participatory decision-making. As we look towards a future marked by rapid technological advancements and urbanization, CIM stands as a robust framework, facilitating cross-disciplinary collaboration and offering dynamic solutions for the complexities of modern urban life.
Conclusions and the Future of City Information Modelling (CIM)
This conclusion chapter synthesizes critical insights from the multifaceted City Information Modelling (CIM) field, highlighting its transformative potential in shaping sustainable, resilient, and equitable urban landscapes. CIM emerges as a critical tool for data-driven decision-making, particularly in achieving sustainable urbanization aligned with global initiatives like the UN’s Sustainable Development Goals. The technology’s impact is far-reaching, extending from enhancing healthcare outcomes to optimizing energy management in buildings, thereby contributing to carbon neutrality. Advanced machine learning and multi-objective optimization techniques further augment CIM’s capabilities, offering nuanced solutions to complex urban challenges, including pandemics. Environmental dimensions are not overlooked; CIM proves invaluable for balancing urban development with nature conservation, particularly in mitigating heat island effects. The chapter also delves into the institutional implications of CIM, emphasizing its role in improving governance mechanisms and fostering participatory decision-making. As we look towards a future marked by rapid technological advancements and urbanization, CIM stands as a robust framework, facilitating cross-disciplinary collaboration and offering dynamic solutions for the complexities of modern urban life.
Conclusions and the Future of City Information Modelling (CIM)
Urban Sustainability
Cheshmehzangi, Ali (Herausgeber:in) / Batty, Michael (Herausgeber:in) / Allam, Zaheer (Herausgeber:in) / Jones, David S. (Herausgeber:in) / Cheshmehzangi, Ali (Autor:in) / Batty, Michael (Autor:in) / Allam, Zaheer (Autor:in) / Jones, David S. (Autor:in)
22.02.2024
5 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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