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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.
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