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City Information Modelling
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ÀúÀÚ Cheshmehzangi, Ali
ÃâÆÇ»ç/¹ßÇàÀÏ Springer International Publish / 2024.02.22
ÆäÀÌÁö ¼ö 253 page
ISBN 9789819990139
»óÇ°ÄÚµå 356937639
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Chapter 1: Introduction to City Information Modelling (CIM)Chapter 2: Exploring the Benefits of Explicit Parametric Modeling in City Information Modeling for Expeditious Digital Urban Survey and Structural AnalysesChapter 3: Exploring the Potential of CIM for Improving Health OutcomesChapter 4: City Information Modelling (CIM) and Sustainable DevelopmentChapter 5: Optimizing Urban Design for Pandemic: Using Reinforcement Learning and Multi-Objective OptimizationChapter 6: Urban Building Energy Reduction Powered by CIM: A Critical ReviewChapter 7: Towards Data-Driven Cities: Exploring the Potential of CIM in QoLChapter 8: Reinforcement Learning Environment for Traffic Scenarios in Historic CitiesChapter 9: Intelligent Recognition of Urban Healing EffectChapter 10: Towards Adaptive and Resilient Strategies Using Digital Twins: A study of the Port of Tyne, UKChapter 11: Ecosystem Institutional Maturity: Perspectives for CIM in Urban Management and Planning in CuritibaChapter 12: The Use of City Information Modelling (CIM) for Realising Net-Zero Energy Community: A Way Forward to Carbon NeutralityChapter 13: Chapter 8: Lessons Learnt and Towards Integrated City Information Modelling (iCIM)

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Cheshmehzangi, Ali

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