Data-Centric Regenerative Built Environment: Big Data for Sustainable Regeneration, Banihashemi Saeed, Sohi Sepideh Zarepour

Автор: Nimish Biloria
Название: Data-driven Multivalence in the Built Environment
ISBN: 3030121798 ISBN-13(EAN): 9783030121792
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Невозможна поставка.
Описание: 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.

Автор: Nimish Biloria
Название: Data-driven Multivalence in the Built Environment
ISBN: 3030121828 ISBN-13(EAN): 9783030121822
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Невозможна поставка.
Описание: 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.

Автор: Abdeen Mustafa Omer
Название: Built Environment: Identifying, Developing & Moving Sustainable Communities Through Renewable Energy
ISBN: 163321947X ISBN-13(EAN): 9781633219472
Издательство: Nova Science
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Цена: 388600.00 T
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Описание: Be it in our home or workplace, we are becoming increasingly accustomed to enjoying the maximum comfort levels. To make the indoor environment as per our suitability is a challenging task. Buildings are one of the most important contributors of pollutants and waste that affects the urban environment and contributes to adverse climatic conditions. Hence, exposure to indoor air pollution from the combustion of biofuels is a significant public health hazards, affecting the poor in both rural and urban communities in developing countries. Furthermore, the worlds view of waste has changed dramatically in recent years and it is now seen as a source to feed the ever-growing demand for energy. Nowadays, emphasis is being laid upon utilisation of the surrounding energy from ground source and other renewable energy sources to stimulate alternative energy sources for heating and cooling of buildings. Exploitation of renewable energy sources and particularly ground heat in buildings can contribute towards reducing dependency on fossil fuels. Buildings where people work require more light and moreover, in the buildings where people live, the energy is used to maintain the lighting, temperature and proper ventilation. Hence, natural ventilation is rapidly becoming a significant part in the design strategy for non-domestic buildings. Ventilation has the potential to reduce the environmental impact of building operations, due to lower energy demand for cooling. A traditional, naturally ventilated building can readily provide a high ventilation rate. On the other hand, the mechanical ventilation systems are very expensive. Heating and energy consumption are interesting topics not just for the industry. Homeowners are also on the look-out for suitable technologies to keep overheads as low as possible and to save energy.

Автор: Bibri Simon Elias
Название: Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements
ISBN: 3030173143 ISBN-13(EAN): 9783030173142
Издательство: Springer
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Цена: 260870.00 T
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Описание: Introduction: The Evolving Data-Driven Smart Sustainable Approach to Urbanism for Tackling the Challenges of Sustainability and Urbanization.- Smart Sustainable Urbanism and Big Data Computing: A Topical Literature Review.- Conceptual, Theoretical, and Disciplinary Foundations: An Interdisciplinary and Transdisciplinary Perspective.- The Data-Driven Smart Sustainable Paradigm of Urbanism: A Qualitative Analysis of Long-lasting Trends.- The Anatomy of the Data-Driven Smart Sustainable City: Instrumentation, Datafication, Computerization, and Technologization.- Paradigmatic, Scientific, Scholarly, Epistemic, and Discursive Shifts in Light of Big Data Science and Analytics.- On the Unsustainability and Sustainability of Smart Urbanism in the Era of Big Data.- Advancing Sustainable Urbanism Processes: The Key Practical and Analytical Applications of Big Data Computing for Urban Systems and Domains.- The Unfolding and Soaring Data Deluge for Advancing Smart Sustainable Urbanism: Data-Driven Urban Studies and Analytics.- Data-Driven Smart Sustainable Urbanism: Decision-Making, Intelligence Functions, Simulation Models, Optimization Methods, and their Synergy in Complex City Systems.- Towards a Novel Model Integrating the Data-Driven City, the Eco-city, and the Compact City: A Scholarly and Planning Approach to Future Vision Construction.

Автор: Simon Elias Bibri
Название: Big Data Science and Analytics for Smart Sustainable Urbanism
ISBN: 3030173119 ISBN-13(EAN): 9783030173111
Издательство: Springer
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Цена: 204970.00 T
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Описание: We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications.This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development.This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Автор: Y. Sadahiro
Название: Spatial Data Infrastructure for Urban Regeneration
ISBN: 4431740961 ISBN-13(EAN): 9784431740964
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book considers the use of spatial data infrastructure in both the study and practice of urban regeneration. Topics range from the development of spatial data infrastructure to its application to urban regeneration studies.

Автор: Long Ying, Zhang Enjia
Название: Data Augmented Design: Embracing New Data for Sustainable Urban Planning and Design
ISBN: 3030496171 ISBN-13(EAN): 9783030496173
Издательство: Springer
Цена: 149060.00 T
Наличие на складе: Поставка под заказ.
Описание: This book offers an essential introduction to a new urban planning and design methodology called Data Augmented Design (DAD) and its evolution and progresses, highlighting data driven methods, urban planning and design applications and related theories.

Автор: Ghosh
Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
ISBN: 3030720675 ISBN-13(EAN): 9783030720674
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors.

Автор: Ghosh Uttam, Maleh Yassine, Alazab Mamoun
Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
ISBN: 3030720640 ISBN-13(EAN): 9783030720643
Издательство: Springer
Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors.