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Titlebook: City Information Modelling; Ali Cheshmehzangi,Michael Batty,David S. Jones Book 2024 The Editor(s) (if applicable) and The Author(s), unde

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發(fā)表于 2025-3-21 17:56:15 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱City Information Modelling
編輯Ali Cheshmehzangi,Michael Batty,David S. Jones
視頻videohttp://file.papertrans.cn/227/226809/226809.mp4
概述Explores information-based methods at the city level.Suggests CIM and other information-based approaches or methods in urban planning, development, and management.Provides robust discussions on novel
叢書名稱Urban Sustainability
圖書封面Titlebook: City Information Modelling;  Ali Cheshmehzangi,Michael Batty,David S. Jones Book 2024 The Editor(s) (if applicable) and The Author(s), unde
描述.This is the first book focused on City Information Modelling (CIM) that puts together a collection of recent studies related to concepts and trends in CIM, application and digitization processes/methods, and frameworks and practices of CIM. This emerging topic is important to various research and practice under sectors of the built environment, civil engineering, urban planning, urban design, and urban management. CIM aligns well with smart cities, data-driven urban analytics and optimization, information-based city planning, and future development paradigms.?..City Information Modelling.?.provides global case study examples in three parts. At first, the contributors offer several examples of ‘Concepts and Trends’, where CIM is explored further in urban management, urban sustainability, and big data studies. In the second part, the book offers various examples of application and digitization processes or methods related to urban planning and design practices. In the third part, the contributors delve into several examples of CIM frameworks and practices critical to contemporary research, planning and design paradigms, and future practices.??..This collection is a niche resource fo
出版日期Book 2024
關(guān)鍵詞City Information Modelling / CIM; Building Information Modelling / BIM; Urban Data; Big Data; Sustainabl
版次1
doihttps://doi.org/10.1007/978-981-99-9014-6
isbn_softcover978-981-99-9016-0
isbn_ebook978-981-99-9014-6Series ISSN 2731-6483 Series E-ISSN 2731-6491
issn_series 2731-6483
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-21 21:15:14 | 只看該作者
Book 2024ation processes or methods related to urban planning and design practices. In the third part, the contributors delve into several examples of CIM frameworks and practices critical to contemporary research, planning and design paradigms, and future practices.??..This collection is a niche resource fo
板凳
發(fā)表于 2025-3-22 02:10:41 | 只看該作者
City Information Modelling and Sustainable Development: The Role of CIM in Achieving Sustainable Urbent, emergency response planning, and public participation, along with reviewing successful case studies. (3) CIM for public participation will explore how CIM can enable citizen participation and engagement in city decision-making. This section will present the planning process of informatics datas
地板
發(fā)表于 2025-3-22 08:39:15 | 只看該作者
Enhancing Health Outcomes Through City Information Modeling (CIM): A Case Study of Sydney, Australia to health risks and assess the impact of urban interventions on health outcomes. However, the study also highlighted the need for better data collection and analysis, improved collaboration between public health professionals and urban planners, and the development of more sophisticated CIM tools.
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發(fā)表于 2025-3-22 12:03:46 | 只看該作者
City Information Modeling and Its Applications: A Review of CIM applications based on BIM–GIS, the main BIM–GIS integration CIM applications are further reviewed in this chapter. It revealed that these applications include but are not limited to urban planning, urban facility management, urban flood hazard assessment, route and evacuation planning, under
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發(fā)表于 2025-3-22 13:39:40 | 只看該作者
Optimizing Urban Design for Pandemics Using Reinforcement Learning and Multi-objective Optimizationes for future pandemics. The utilization of reinforcement learning has the potential to enhance urban planning by employing a reward-based mechanism to instruct an agent on the prevention of a pandemic outbreak. The consideration of multiple objectives simultaneously can lead to further enhancement
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發(fā)表于 2025-3-22 17:30:32 | 只看該作者
Sustainable Smart City Application Based on Machine Learning: A Case Study Example from the Provincetudy’s methodology is focused on machine learning, smart cities, and participatory approaches. Data sets will first be compiled through historical and institutional archives, field research, and in-person interviews with representatives of pertinent institutions. Then, a digital system built on mach
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發(fā)表于 2025-3-22 21:54:04 | 只看該作者
The Role of City Information Modelling (CIM) in Evaluating the Spatial Correlation Between Vegetatio Envi software to extract spatial patterns of surface temperature and Normalized Difference Vegetation Index (NDVI) of the Tehran metropolitan area. Satellite outputs show that over the past two decades, the minimum surface temperature and average surface temperature have decreased by 3.67?°C and 0.
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發(fā)表于 2025-3-23 04:45:17 | 只看該作者
Exploiting Advantages of VPL in City Information Modelling for Rapid Digital Urban Surveying and Strpted to the data structure of Grasshopper. The semantic structure of the CIM model allows the storage of attributes and metadata that facilitate the information enrichment and management. The CIM model also allows the extraction of structural geometric models (city block scale) necessary for FEM ana
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發(fā)表于 2025-3-23 06:01:21 | 只看該作者
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