This book explores key theoretical and empirical issues related to the development and implementation of planning strategies that can provide guidance on the transition to climate-compatible and low-carbon urban development. It especially focuses on integrating resilience thinking into the urban planning process, and explains how such an integration can contribute to reflecting the dynamic properties of cities and coping with the uncertainties inherent in future climate change projections. Some of the main questions addressed are: What are the innovative methods and processes needed to incorporate resilience thinking into urban planning? What are the characteristics of a resilient urban form and what are the challenges associated with integrating them into urban development? Also, how can the resilience of cities be measured and what are the main constituents of an urban resilience assessment framework? In addition to addressing these crucial questions, the book features several case studies from around the world, investigating methodologies, challenges, and opportunities for mainstreaming climate resilience in the theory and practice of urban planning. Featuring contributions by prominent researchers from around the world, the book offers a valuable resource for students, academics and practitioners alike.

This book is on urban resilience - how to design and operate cities that can withstand major threats such as natural disasters and economic downturns and how to recover from them. It is a collection of latest research results from two separate but collaborating research groups, namely, researchers in urban design and those on general resilience theory. The book systematically deals with the core aspects of urban resilience: systems, management issues and populations. The taxonomy can be broken down into threats, systems, resilience cycles and recovery types in the context of urban resilience. It starts with a discussion of systems resilience models, focusing on the central idea that resilience is a moving average of costs (a set of trajectories in a two-player game paradigm). The second section explores management issues, including planning, operating and emergency response in cities with specific examples such as land-use planning and carbon-neutral scenarios for urban planning. The next section focuses on urban dwellers and specific people-related issues in the context of resilience. Agent-based simulation of behaviour and perception-based resilience, as well as brand crisis management are representative examples of the topics discussed. A further section examines systems like public utilities - including managing power supplies, cyber-security issues and models for pandemics. It concludes with a discussion of the future challenges and risks facing complex systems, for example in resilient power grids, making it essential reading for a wide range of researchers and policymakers.

This book explores key theoretical and empirical issues related to the development and implementation of planning strategies that can provide guidance on the transition to climate-compatible and low-carbon urban development. It especially focuses on integrating resilience thinking into the urban planning process, and explains how such an integration can contribute to reflecting the dynamic properties of cities and coping with the uncertainties inherent in future climate change projections. Some of the main questions addressed are: What are the innovative methods and processes needed to incorporate resilience thinking into urban planning? What are the characteristics of a resilient urban form and what are the challenges associated with integrating them into urban development? Also, how can the resilience of cities be measured and what are the main constituents of an urban resilience assessment framework? In addition to addressing these crucial questions, the book features several case studies from around the world, investigating methodologies, challenges, and opportunities for mainstreaming climate resilience in the theory and practice of urban planning. Featuring contributions by prominent researchers from around the world, the book offers a valuable resource for students, academics and practitioners alike.

This book is on urban resilience - how to design and operate cities that can withstand major threats such as natural disasters and economic downturns and how to recover from them. It is a collection of latest research results from two separate but collaborating research groups, namely, researchers in urban design and those on general resilience theory. The book systematically deals with the core aspects of urban resilience: systems, management issues and populations. The taxonomy can be broken down into threats, systems, resilience cycles and recovery types in the context of urban resilience. It starts with a discussion of systems resilience models, focusing on the central idea that resilience is a moving average of costs (a set of trajectories in a two-player game paradigm). The second section explores management issues, including planning, operating and emergency response in cities with specific examples such as land-use planning and carbon-neutral scenarios for urban planning. The next section focuses on urban dwellers and specific people-related issues in the context of resilience. Agent-based simulation of behaviour and perception-based resilience, as well as brand crisis management are representative examples of the topics discussed. A further section examines systems like public utilities - including managing power supplies, cyber-security issues and models for pandemics. It concludes with a discussion of the future challenges and risks facing complex systems, for example in resilient power grids, making it essential reading for a wide range of researchers and policymakers.

Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others.

Urban Systems Design: Creating Sustainable Smart Cities in the Internet of Things Era shows how to design, model and monitor smart communities using a distinctive IoT-based urban systems approach. Focusing on the essential dimensions that constitute smart communities energy, transport, urban form, and human comfort, this helpful guide explores how IoT-based sharing platforms can achieve greater community health and well-being based on relationship building, trust, and resilience. Uncovering the achievements of the most recent research on the potential of IoT and big data, this book shows how to identify, structure, measure and monitor multi-dimensional urban sustainability standards and progress. This thorough book demonstrates how to select a project, which technologies are most cost-effective, and their cost-benefit considerations. The book also illustrates the financial, institutional, policy and technological needs for the successful transition to smart cities, and concludes by discussing both the conventional and innovative regulatory instruments needed for a fast and smooth transition to smart, sustainable communities.