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This book reflects on the emerging trends, development, and challenges of policy on sustainability using information technology, and provides valuable insights to both research and practice communities. Sustainability has become an important focus for government, civil society and the corporate community world-wide. Growing interest in addressing environmental deterioration and associated social inequality and economic challenges is shifting focus to this important issue. The lack of fresh water and arable land, extreme weather, rising cost of relying on fossil fuels, and poverty and regional instability, are drawing attention to the need for government intervention and policy instruments that encourage the development of sustainable alternatives. Governments can play a very important role in facilitating sustainable development through better public policies. First of all, public investments can be directed toward establishing incentives for renewable energy, energy efficiency, sustainable agriculture, and land and water conservation, or toward leveling the field for sustainable alternatives by phasing out the subsidies directed to unsustainable production and development. Second, regulatory and pricing mechanisms could help with the development of markets for sustainable products. This book engages policy informatics analytical and modeling approaches, stakeholder engagement in policy development, implementation and evaluation, and big data and policy informatics to generate valuable insights in the policy on sustainable energy, and will be on interest to researchers in public administration and sustainability, open data and information technology ecological economics.​
Meet the challenge of integrating Building Information Modeling and sustainability with this in-depth guide, which pairs these two revolutionary movements to create environmentally friendly design through a streamlined process. Written by an award-winning team that has gone beyond theory to lead the implementation of Green BIM projects, this comprehensive reference features practical strategies, techniques, and real-world expertise so that you can create sustainable BIM projects, no matter what their scale.
Urban spaces are being called upon to develop a capacity for resilience and sustainability in order to meet the major challenges they face. To achieve such a goal, a practical development framework must be implemented in order to take advantage of the technological innovations that characterize the field of construction and urban engineering. Today, multi-scale BIM is bringing about significant changes that are redefining the paradigms of urban management. It facilitates simulations of the sustainability of urban spaces with respect to several criteria; most notably relating to energy, the economy and the environment. Building Information Modeling for a Smart and Sustainable Urban Space proposes a theoretical and practical framework for implementing BIM models for the creation of sustainable and intelligent urban spaces. It addresses the issues of acquisition, modeling, interoperability, and BIM and GIS integration for the production of BIM models. Case studies are presented, providing a practical dimension that demonstrates the production process of the urban model and its contribution to multiscale simulations, particularly in real estate evaluation and urban renewal.
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. - Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery - Includes considerations sustainability analysts must evaluate when applying big data - Features case studies illustrating the application of data science in sustainability analyses
Can innovations in business change society? Can innovations in society change business? These two questions have become critically urgent in recent years, but are rarely considered together. ‘Business Models for Sustainability Transitions’ therefore asks, can contemplating both concepts together result in a flourishing, sustainable future? Technology alone cannot save us. We cannot consciously consume our way out of trouble. This book represents a start at bridging the dynamic world of business model innovation with the constant and unprecedented transitions underway in the world around us. For researchers, practitioners, and policy makers, the coupling of the two questions has the potential to unlock answers to our grand global challenges with responses that are at the same time rapid and enduring. This work offers unique and considered glimpses into what it may take to harness wide-ranging innovations for the collective good.
An Introduction to Sustainability provides students with a comprehensive overview of the key concepts and ideas which are encompassed within the growing field of sustainability. The book teases out the diverse but intersecting domains of sustainability and emphasises strategies for action. Aimed at those studying the subject for the first time, it is unique in giving students from different disciplinary backgrounds a coherent framework and set of core principles for applying broad sustainability principles within their personal and professional lives. These include: working to improve equality within and across generations, moving from consumerism to quality of life goals and respecting diversity in both nature and culture. Areas of emerging importance such as the economics of happiness and wellbeing stand alongside core topics including: Energy and society Consumption and consumerism Risk and resilience Waste, water and land. Key challenges and applications are explored through international case studies and each chapter includes a thematic essay drawing on diverse literature to provide an integrated introduction to fundamental issues. Launched with the brand-new Routledge Sustainability Hub, the book’s companion website contains a range of features to engage students with the interdisciplinary nature of Sustainability. Together these resources provide a wealth of material for learning, teaching and researching the topic of sustainability. This textbook is an essential companion to any sustainability course.
On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop.
Business Models for Sustainability breaks new ground by combining three important insights. First, achieving sustainability requires socio-technical transitions that entail new technologies, production processes, lifestyles, and consumption patterns. Second, firms play crucial roles in mediating between sustainable production and consumption. Third, radical innovations require organizational innovations and new business models. Peter Wells successfully combines these big picture ideas with rich in-depth case studies drawing on years of accumulated expertise. Highly recommended. Frank W. Geels, University of Manchester, UK and Chairman of the Sustainability Transitions Research Network With increasing awareness that innovative technology alone is insufficient to make sustainable lifestyles a reality, this book brings into sharp focus the need to create radical new business models. This insightful book provides a theoretically grounded but also realistic account of how the design of business models can be a critical component in the overall transition to sustainability, and one that transcends the usual focus on innovative technology. Weaving together key principles and components for business sustainability, the book highlights five very different pathways to the future for sectors ranging from microbreweries and printing through to clothing, mobility and plastics. Business has only just started the first few tentative steps towards a very different approach to creating and sustaining value, but this book concludes that enormous opportunities will emerge alongside new ways of creating and capturing value. Academics and postgraduate students in the fields of sustainable business, business organisations and industrial ecology will find this book brings a greater understanding of business strategy and structure to the discipline. While traditionally referenced and structured, this academic book is accessibly written with key principles that may also appeal to the consultant community.
Urban spaces are being called upon to develop a capacity for resilience and sustainability in order to meet the major challenges they face. To achieve such a goal, a practical development framework must be implemented in order to take advantage of the technological innovations that characterize the field of construction and urban engineering. Today, multi-scale BIM is bringing about significant changes that are redefining the paradigms of urban management. It facilitates simulations of the sustainability of urban spaces with respect to several criteria; most notably relating to energy, the economy and the environment. Building Information Modeling for a Smart and Sustainable Urban Space proposes a theoretical and practical framework for implementing BIM models for the creation of sustainable and intelligent urban spaces. It addresses the issues of acquisition, modeling, interoperability, and BIM and GIS integration for the production of BIM models. Case studies are presented, providing a practical dimension that demonstrates the production process of the urban model and its contribution to multiscale simulations, particularly in real estate evaluation and urban renewal.