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The concept of sustainability science is paramount to establish a development thinking with deep and thorough considerations of hybridized on-ground realities shaped by the interplay of energy, land, economic, and climatic elements. This special feature intends to engage sustainability science in understanding the role of bioenergy in sustainable development, particularly for cases in East Asia. Especially, it encourages potential works that carefully consider perspectives of different stakeholders, including communicating with both experts and non-experts and integrating knowledge from different disciplines like forestry, social studies, or energy system sciences. It aims to create the context for motivating the society in tackling the sustainability issues related to energy, forest, and society.

Designing waterfront redevelopment generally focuses on attractiveness, leisure, and beauty, resulting in various types of building and block shapes with limited considerations on environmental aspects. However, increasing climate change impacts necessitate these buildings to be sustainable, resilient, and zero CO2 emissions. By producing five scenarios (plus existing buildings) with constant floor areas, we investigated how buildings and district forms with building integrated photovoltaics (BIPV) affect energy consumption and production, self-sufficiency, CO2 emission, and energy costs in the context of waterfront redevelopment in Tokyo. From estimated hourly electricity demands of the buildings, techno-economic analyses were conducted for rooftop PV systems for 2018 and 2030 with declining costs of rooftop PV systems. We found that environmental building designs with rooftop PV system are increasingly economical in Tokyo with CO2 emission reduction of 2–9% that depends on rooftop sizes. Payback periods drop from 14 years in 2018 to 6 years in 2030. Toward net-zero CO2 emissions by 2050, immediate actions are necessary to install rooftop PVs on existing and new buildings with energy efficiency improvements by construction industry and building owners. To facilitate such actions, national and local governments need to adopt appropriate policies.

Front Cover -- URBAN SYSTEMS DESIGN -- URBAN SYSTEMS DESIGN -- Copyright -- Contents -- Contributors -- Preface -- 1 - Urban systems design: shaping smart cities by integrating urban design and systems science -- 1.1 Cities as flows: emerging new urban forms driven by smart city movement -- 1.1.1 Theories for smart cities -- 1.1.2 Cities as flows: an emerging new urban form -- 1.2 Urban design: designing situational, resilient, and transformative urban spaces -- 1.2.1 Intellectual legacy of urban design as a normative theory -- 1.2.2 Intellectual legacy of urban metabolism movement in Japan -- 1.2.3 Urban spaces are situational, resilient, and transformative in the context of IoT -- 1.3 Systems science: understanding urban complexity and big data -- 1.3.1 Urban complexity and big data -- 1.3.2 Modeling smart urban systems -- 1.4 Urban systems design: four possible models -- 1.4.1 Urban sensing systems as a human interactive model -- 1.4.2 Data-driven urban design as a normative model -- 1.4.3 Urban metabolism as a functional model -- 1.4.4 Geodesign as a procedure model -- References -- 2 - Urban systems and the role of big data -- 2.1 Introduction -- 2.2 Data analytics of urban systems -- 2.2.1 Modeling urban complex system -- 2.2.2 The role of urban data analytics -- 2.2.3 A framework of urban data analytics -- 2.3 IoT as a new smart infrastructure -- 2.3.1 New advancements of complexity models in the IoT era -- 2.3.2 Smart city and ICT infrastructure with vehicle to X applications toward urban decarbonization -- 2.3.3 IoT for modeling and monitoring smart buildings -- 2.3.4 Hands-on technologies for better understanding of urban complexity with big data -- 2.3.5 Integrated planning support systems with big data and AI -- 2.4 Smart objects in urban systems design -- 2.4.1 Implementing smart buildings.

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

Intro -- Preface -- Highlights -- Contents -- Integrating Resilience Thinking into Urban Planning -- 1 Resilience-Oriented Urban Planning -- 1.1 Introduction -- 1.2 Resilience and Its Underlying Principles -- 1.3 Integration of Resilience Thinking into Urban Planning -- 1.3.1 Planning Strategy and Vision -- 1.3.2 Public Participation and Capacity Building -- 1.3.3 Equity and Empowerment of Poor and Marginalized Communities -- 1.3.4 Traditional Local Knowledge -- 1.3.5 Institutional Reforms -- 1.3.6 Social Networks and Social Support -- 1.3.7 Dimensional, Spatial, and Temporal Interrelationships and Interlinkages -- 1.3.8 Resilience-Oriented Land Use Planning -- 1.3.9 Resilient Urban Infrastructure -- 1.4 Conclusions -- References -- 2 Resilience Matrix for Comprehensive Urban Resilience Planning -- 2.1 Introduction -- 2.2 Challenges of Traditional Risk Analysis -- 2.3 Resilience: A New Way Forward -- 2.4 Development of the Resilience Matrix -- 2.5 Using the Resilience Matrix -- 2.5.1 Case Study 1: The Rockaways, NY -- 2.5.2 Case Study 2: Mobile, AL -- 2.6 Lessons Learned -- References -- 3 Urban Informality and Planning: Challenges to Mainstreaming Resilience in Indian Cities -- 3.1 Introduction -- 3.2 Urban Planning -- 3.3 Urban Governance Structure as It Relates to Urban Resilience Planning -- 3.4 Urban Poverty, Informality and Resilience -- 3.5 Case Study: Ahmedabad Heat Action Plan -- 3.5.1 About Ahmedabad -- 3.5.2 Existing Vulnerability and Climate Change Risks in Future -- 3.5.3 Ahmedabad Heat Action Plan -- 3.6 Conclusions and Policy Implications -- References -- 4 Designing a 'Fit-for-Purpose' Approach to Tracking Progress on Climate Change Adaptation and Resilience: Learning from Local Governments in Australia -- 4.1 Introduction -- 4.2 Monitoring and Evaluation for Climate Change Adaptation -- 4.2.1 Purpose -- 4.2.2 Approaches.

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 article tests theories, elaborated by rationalists, constructivists, and network theorists, that explain the ratification of international environmental treaties. Rationalists argue that countries' material self-interest and political and economic conditions affect the likelihood of countries ratifying treaties. Constructivists argue that countries are influenced by exposure to world society. Structural embeddedness theory argues that countries are influenced by neighboring countries, religion, language, and economic peers, and those whom they have network ties to via diplomatic relations and IGO memberships. The article is a study of how these factors affected the ratification of two environmental treaties: United Nations Framework Convention on Climate Change and the Kyoto Protocol. The results show that political and economic factors, peer behavior, and network ties were more important in explaining the ratification of the Kyoto Protocol than the UNFCCC. Similar to von Stein (J Conflict Resolut 52:243-268, 2008), it found that exposure to world society was important in the UNFCCC. The authors suggested that the differences were due to the demands which the Kyoto Protocol placed on countries in contrast to the "softness" of the UNFCCC. They also discussed how social influence-based on a variety of inter-governmental relations and affiliations-may signal a change in the structure of the global environmental regime and how it conducts its business. Adapted from the source document.