The ease of use of the programs in the application to ever more complex cases of disease and pestilence. The lack of need on the part of the student or modelers of mathematics beyond algebra and the lack of need of any prior computer programming experience. The surprising insights that can be gained from initially simple systems models.

This book addresses key topics in the current deliberations and debates on low carbon cities that are underway globally. Contributions by experts from around the world focus on the key factors required for creating low carbon cities. These include appropriate infrastructure, ensuring co-benefits of climate actions, making best use of knowledge and information, proper accounting of emissions, and social factors such as behavioral change. Readers will gain a better understanding of these drivers and explore potential transformation pathways for cities. Particular emphasis is given to the current situation of energy consumption and greenhouse gas (GHG) emissions at the urban level, stressing the complexity of measuring GHG emissions from cities. Chapters also shed new light on the long-term transformation pathways towards low carbon. This book discusses key challenges and opportunities in all these domains to aid in creating low carbon cities, making it of value to policy makers, researchers in academia and consultants working on climate change and energy issues. "The low carbon cities agenda is of bold ambition and demands rapid societal transformation. This book provides invaluable information and analysis on how the goals of this agenda can be achieved and what will be the significant obstacles in the way. The content in the book goes below the surface to reveal on-the-ground economic, engineering and equity issues that are at the heart of the Paris Climate Agreement and the ensuing policy debates. In this way, Creating Low Carbon Cities serves as a critical scholarly benchmark and as a toolkit for further action." William Solecki, Professor, Institute for Sustainable Cities, City University of New York "Creating Low Carbon Cities provides a refreshingly critical approach to low-carbon urban development, what has been achieved so far and the challenges ahead. It will be an important data-driven resource for local leaders, sustainability practitioners and urban planners." Ms. Monika Zimmermann, Deputy Secretary General, ICLEI-Local Governments for Sustainability

Economies are open systems embedded in an ecosystem with which they exchange matter and energy. Interactions among these systems are vital for each system's performance and are constrained by the laws of physics. This volume pays tribute to economy--environment interactions simultaneously from an economic, ecological and physical perspective. Integrating Economics, Ecology and Thermodynamics provides a first step in identifying and combining the principles of economics, ecology and thermodynamics on a fundamental level. Part I lays out the general context for the approach chosen. Part II familiarizes readers with core concepts of, and methods used in, the three disciplines of economics, ecology and thermodynamics. Part III assesses ways in which these disciplines can be integrated to provide an improved understanding of economy--environment interactions. Part IV illustrates the integration of the three disciplines with a dynamic model of a human community interacting with its environment. In Part V the volume closes with a brief summary and a set of conclusions on the relevance of integrated, interdisciplinary approaches to economy--environment interactions.

The effects of disturbed ecosystems, from devastating algal blooms to the loss of whale populations, have demonstrated the vulnerability of the oceans¿ biodiversity. Conservation of marine systems requires knowledge from many different fields in order to understand the complex interactions that threaten those systems. Dynamic Modeling for Marine Conservation provides a method of learning how these systems function, determining how natural and human actions have put them in peril and how we can best influence the marine world in order to maintain biodiversity. The difficulties of research and experimentation in the oceans make computer modeling particularly helpful for marine conservation. Modeling also enables scientists to communicate their findings with managers and others concerned with putting their ideas into practice. The book will demonstrate dynamic modeling through the use of the STELLA modeling program and case studies from marine conservation. After a section devoted to the concepts and tools needed to model marine systems, each chapter introduces background information about a key topic in marine conservation, presents an appropriate model, and discusses the results and implications. Contributors bring a wide range of expertise and experience to a selection of models relevant to real-world conservation problems. All models and a run-time version of the STELLA software are included with the book on a CD-ROM, which is compatible with both Macintosh and Window platforms.

In recent years, there has been an increasing emphasis placed on local and regional integration in major planning projects and infrastructure development including roads, rail and waterways. This emphasis is not only on integrating various projects, but also integrating them with related issues such as housing, industry, environment and water. In other words, land-use planning and infrastructure management have become more spatially-oriented. This book brings together experts in the fields of spatial planning, land-use and infrastructure management to explore the emerging agenda of spatially-oriented integrated evaluation. It weaves together the latest theories, case studies, methods, policy and practice to examine and assess the values, impacts, benefits and the overall success in integrated land-use management. In doing so, the book clarifies the nature and roles of evaluation and puts forward guidance for future policy and practice.

Many biologists and ecologists have developed models that find widespread use in theoretical investigations and in applications to organism behavior, disease control, population and metapopulation theory, ecosystem dynamics, and environmental management. This book captures and extends the process of model development by concentrating on the dynamic aspects of these processes and by providing the tools such that virtually anyone with basic knowledge in the Life Sciences can develop meaningful dynamic models. Examples of the systems modeled in the book range from models of cell development, the beating heart, the growth and spread of insects, spatial competition and extinction, to the spread and control of epidemics, including the conditions for the development of chaos. Key features: - easy-to-learn and easy-to-use software - examples from many subdisciplines of biology, covering models of cells, organisms, populations, and metapopulations - no prior computer or programming experience required Key benefits: - learn how to develop modeling skills and system thinking on your own rather than use models developed by others - be able to easily run models under alternative assumptions and investigate the implications of these assumptions for the dynamics of the biological system being modeled - develop skills to assess the dynamics of biological systems

In recent years, there has been an increasing emphasis placed on local and regional integration in major planning projects and infrastructure development including roads, rail and waterways. This emphasis is not only on integrating various projects, but also integrating them with related issues such as housing, industry, environment and water. In other words, land-use planning and infrastructure management have become more spatially-oriented. This book brings together experts in the fields of spatial planning, land-use and infrastructure management to explore the emerging agenda of spatially-oriented integrated evaluation. It weaves together the latest theories, case studies, methods, policy and practice to examine and assess the values, impacts, benefits and the overall success in integrated land-use management. In doing so, the book clarifies the nature and roles of evaluation and puts forward guidance for future policy and practice.

This book explores the dynamic processes in economic systems, concentrating on the extraction and use of the natural resources required to meet economic needs. Sections cover methods for dynamic modeling in economics, microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models. This book does not require a substantial background in mathematics or computer science.

The book uses STELLA software to develop simulation models, thus allowing readers to convert their understanding of a phenomenon to a computer model, and then run it to yield the inevitable dynamic consequences built into the structure. Part I provides an introduction to modeling dynamic systems, while Part II offers general modeling methods. Parts III through VIII then apply these methods to model real-world phenomena from chemistry, genetics, ecology, economics, and engineering. Dynamic Modeling includes STELLA run-time software for both Windows and Mac systems, as well as computer files of sample models used in the book. A clear, approachable introduction to the modeling process, of interest in any field where real problems can be illuminated by computer simulation.

The ease of use of the programs in the application to ever more complex cases of disease and pestilence. The lack of need on the part of the student or modelers of mathematics beyond algebra and the lack of need of any prior computer programming experience. The surprising insights that can be gained from initially simple systems models.

The effects of disturbed ecosystems, from devastating algal blooms to the loss of whale populations, have demonstrated the vulnerability of the oceans'biodiversity. This book provides methods for learning how ocean systems function, how natural and human actions put them in peril, and how we can influence the marine world in order to maintain biodiversity. The difficulties of research in the oceans make computer modeling particularly helpful for marine conservation. The authors demonstrate dynamic modeling through the use of the STELLA modeling program and case studies from marine conservation.

The book uses STELLA software to develop simulation models, thus allowing readers to convert their understanding of a phenomenon to a computer model, and then run it to yield the inevitable dynamic consequences built into the structure. Part I provides an introduction to modeling dynamic systems, while Part II offers general modeling methods. Parts III through VIII then apply these methods to model real-world phenomena from chemistry, genetics, ecology, economics, and engineering. A clear, approachable introduction to the modeling process, of interest in any field where real problems can be illuminated by computer simulation.

Models help us understand the dynamics of real-world processes by using the computer to mimic the actual forces that are known or assumed to result in a system's behavior. This book does not require a substantial background in mathematics or computer science.

This book explores the dynamic processes in economic systems, concentrating on the extraction and use of the natural resources required to meet economic needs. Sections cover methods for dynamic modeling in economics, microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models. This book does not require a substantial background in mathematics or computer science.

Economies are open systems embedded in an ecosystem with which they exchange matter and energy. Interactions among these systems are vital for each system's performance and are constrained by the laws of physics. This volume pays tribute to economy--environment interactions simultaneously from an economic, ecological and physical perspective. Integrating Economics, Ecology and Thermodynamics provides a first step in identifying and combining the principles of economics, ecology and thermodynamics on a fundamental level. Part I lays out the general context for the approach chosen. Part II familiarizes readers with core concepts of, and methods used in, the three disciplines of economics, ecology and thermodynamics. Part III assesses ways in which these disciplines can be integrated to provide an improved understanding of economy--environment interactions. Part IV illustrates the integration of the three disciplines with a dynamic model of a human community interacting with its environment. In Part V the volume closes with a brief summary and a set of conclusions on the relevance of integrated, interdisciplinary approaches to economy--environment interactions.

Dynamic Modeling introduces an approach to modeling that makes it a more practical, intuitive endeavour. The book enables readers to convert their understanding of a phenomenon to a computer model, and then to run the model and let it yield the inevitable dynamic consequences built into the structure of the model. Part I provides an introduction to modeling dynamic systems, while Part II offers general methods for modeling. Parts III through to VIII then apply these methods to model real-world phenomena from chemistry, genetics, ecology, economics, and engineering. To develop and execute dynamic simulation models, Dynamic Modeling comes with STELLA II run- time software for Windows-based computers, as well as computer files of sample models used in the book. A clear, approachable introduction to the modeling process, of interest in any field where real problems can be illuminated by computer simulation.

This book addresses key topics in the current deliberations and debates on low carbon cities that are underway globally. Contributions by experts from around the world focus on the key factors required for creating low carbon cities. These include appropriate infrastructure, ensuring co-benefits of climate actions, making best use of knowledge and information, proper accounting of emissions, and social factors such as behavioral change. Readers will gain a better understanding of these drivers and explore potential transformation pathways for cities. Particular emphasis is given to the current situation of energy consumption and greenhouse gas (GHG) emissions at the urban level, stressing the complexity of measuring GHG emissions from cities. Chapters also shed new light on the long-term transformation pathways towards low carbon. This book discusses key challenges and opportunities in all these domains to aid in creating low carbon cities, making it of value to policy makers, researchers in academia and consultants working on climate change and energy issues. "The low carbon cities agenda is of bold ambition and demands rapid societal transformation. This book provides invaluable information and analysis on how the goals of this agenda can be achieved and what will be the significant obstacles in the way. The content in the book goes below the surface to reveal on-the-ground economic, engineering and equity issues that are at the heart of the Paris Climate Agreement and the ensuing policy debates. In this way, Creating Low Carbon Cities serves as a critical scholarly benchmark and as a toolkit for further action." William Solecki, Professor, Institute for Sustainable Cities, City University of New York "Creating Low Carbon Cities provides a refreshingly critical approach to low-carbon urban development, what has been achieved so far and the challenges ahead. It will be an important data-driven resource for local leaders, sustainability practitioners and urban planners." Ms. Monika Zimmermann, Deputy Secretary General, ICLEI-Local Governments for Sustainability