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Data-centric Regenerative Built Environment

2022-03-17 Computers
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Release : 2022-03-17
Genre : Computers
Kind : eBook
Book Rating : 193/5 ( reviews)

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Book Synopsis Data-centric Regenerative Built Environment by : Saeed Banihashemi

Download or read book Data-centric Regenerative Built Environment written by Saeed Banihashemi. This book was released on 2022-03-17. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions. This book is one of the first endeavors to present the data-driven methods for regenerative built environments and integrate it with the novel design solutions. It looks at four specific areas in which data is used – urban land use, transportation and traffic, environmental concerns and social issues – and draws on the theoretical literature concerning regenerative built environments to explain how the power of big data can achieve the systematic integration of urban design solutions. It then applies an in-depth case study method on Asian metropolises including Beijing and Tehran to bring the developed innovation into a research-led practical context. This book is a useful reference for anyone interested in driving sustainable regeneration of our urban environments through big data-centric design solutions.

Data-driven Multivalence in the Built Environment

2019-07-01 Science
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Release : 2019-07-01
Genre : Science
Kind : eBook
Book Rating : 801/5 ( reviews)

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Book Synopsis Data-driven Multivalence in the Built Environment by : Nimish Biloria

Download or read book Data-driven Multivalence in the Built Environment written by Nimish Biloria. This book was released on 2019-07-01. Available in PDF, EPUB and Kindle. Book excerpt: This book sets the stage for understanding how the exponential escalation of digital ubiquity in the contemporary environment is being absorbed, modulated, processed and actively used for enhancing the performance of our built environment. S.M.A.R.T., in this context, is thus used as an acronym for Systems & Materials in Architectural Research and Technology, with a specific focus on interrogating the intricate relationship between information systems and associative material, cultural and socioeconomic formations within the built environment. This interrogation is deeply rooted in exploring inter-disciplinary research and design strategies involving nonlinear processes for developing meta-design systems, evidence based design solutions and methodological frameworks, some of which, are presented in this issue. Urban health and wellbeing, urban mobility and infrastructure, smart manufacturing, Interaction Design, Urban Design & Planning as well as Data Science, as prominent symbiotic domains constituting the Built Environment are represented in this first book in the S.M.A.R.T. series. The spectrum of chapters included in this volume helps in understanding the multivalence of data from a socio-technical perspective and provides insight into the methodological nuances involved in capturing, analysing and improving urban life via data driven technologies.

Data-driven Multivalence in the Built Environment

2020 Engineering design
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Release : 2020
Genre : Engineering design
Kind : eBook
Book Rating : 815/5 ( reviews)

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Book Synopsis Data-driven Multivalence in the Built Environment by : Nimish Biloria

Download or read book Data-driven Multivalence in the Built Environment written by Nimish Biloria. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: This book sets the stage for understanding how the exponential escalation of digital ubiquity in the contemporary environment is being absorbed, modulated, processed and actively used for enhancing the performance of our built environment. S.M.A.R.T., in this context, is thus used as an acronym for Systems & Materials in Architectural Research and Technology, with a specific focus on interrogating the intricate relationship between information systems and associative material, cultural and socioeconomic formations within the built environment. This interrogation is deeply rooted in exploring inter-disciplinary research and design strategies involving nonlinear processes for developing meta-design systems, evidence based design solutions and methodological frameworks, some of which, are presented in this issue. Urban health and wellbeing, urban mobility and infrastructure, smart manufacturing, Interaction Design, Urban Design & Planning as well as Data Science, as prominent symbiotic domains constituting the Built Environment are represented in this first book in the S.M.A.R.T. series. The spectrum of chapters included in this volume helps in understanding the multivalence of data from a socio-technical perspective and provides insight into the methodological nuances involved in capturing, analysing and improving urban life via data driven technologies.

Data-driven Analytics for Sustainable Buildings and Cities

2021-09-11 Social Science
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Release : 2021-09-11
Genre : Social Science
Kind : eBook
Book Rating : 789/5 ( reviews)

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Book Synopsis Data-driven Analytics for Sustainable Buildings and Cities by : Xingxing Zhang

Download or read book Data-driven Analytics for Sustainable Buildings and Cities written by Xingxing Zhang. This book was released on 2021-09-11. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.

Pursuing Sustainable Urban Development in North Korea

2024-07-25 Business & Economics
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Release : 2024-07-25
Genre : Business & Economics
Kind : eBook
Book Rating : 489/5 ( reviews)

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Book Synopsis Pursuing Sustainable Urban Development in North Korea by : Pavel P. Em

Download or read book Pursuing Sustainable Urban Development in North Korea written by Pavel P. Em. This book was released on 2024-07-25. Available in PDF, EPUB and Kindle. Book excerpt: This volume employs an urban lens to provide a critical analysis of the North Korean style of sustainable urban development in the face of severe sanctions and a scarcity of vital resources. With a focus on five major areas—population, economics, architecture, urban planning, and culture—the authors examine the preconditions that led to the emergence of ideas related to urban sustainability, assess and reassess the trends in sustainable development brought about by market forces, and recommend paths for their further intensification. Since this work covers a variety of topics, ranging from geomancy and social control to economic issues and green architecture (both locally and in comparison with European post-socialist cities and South Korea), it will point to lessons that other countries could learn from. This book will be a valuable reference for scholars, researchers, students, and the general public who have a regional interest in North Korea, Korean unification, and East Asia as a whole; and/or a topical interest in urban studies, urban sustainability, and post-socialist urban transformation.

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