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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Way Kuo,Wei-Ting Kary Chien,Taeho Kimnificant economic and technical barriers for other ports looking to replicate the same level of digitalization. This research aims to address the disparity in data availability among assets, facilities, and vehicles by proposing an adaptive Digital Twin framework, using the Port of Tyne as a case st

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Group C: Material Resistance Considerationsssing data from various origins such as buildings, energy grids, urban planning, environmental setups, transportation networks, and socio-demographic metrics, it then becomes feasible to construct a holistic digital portrayal of the community. It is consequently imperative to conduct comprehensive c

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Fundamental Reliability Mathematics,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 urbaniza

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A Vision of?Intelligent Train Controlof the (existing, new, and growing) city, allowing decision-makers to make informed choices for sustainable and resilient urban development. This chapter briefly provides a brief insight into the concept of CIM. It then provides the book’s aim and objectives and a summary of its structure.

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2731-6483 opment, and management.Provides robust discussions on novel .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

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Urban Sustainabilityhttp://image.papertrans.cn/c/image/226809.jpg