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Designing sustainable and resilient cities : Small interventions for stronger urban food-water-energy management
Explores the link between the food-water-energy nexus and sustainability, and the extraordinary value that small tweaks to this nexus can achieve for more resilient cities and communities. Using data from Urban Living Labs in six participating cities (Eindhoven, Gdansk, Miami, Southend-on-Sea, Taipei and Uppsala) to co-define context-specific challenges, the results from each city are collated into an Integrated Decision Support System to guide and improve robust decision making on future urban development. The book presents contributions from CRUNCH, a transdisciplinary team of scholars and practitioners whose expertise spans urban climate modelling; food, water and energy management; the design of resilient public space; collecting better urban data; and the development of smart city technology. Whilst previous works on the food-water-energy nexus have focused on large, transnational cases, this book explores local ways to use the food-water-energy nexus to improve urban resilience.
Decision Making under Deep Uncertainty : From Theory to Practice
Focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them.
Autonomous Navigation in Dynamic Environments
The purpose of this book is to address the challenging problem of Autonomous Navigation in Dynamic Environments, and to present new ideas and approaches in this newly emerging technical domain. The book surveys the state-of-the-art, discusses in detail various related challenging technical aspects, and addresses upcoming technologies in this field. The aim of the book is to establish a foundation for a broad class of mobile robot mapping and navigation methodologies for indoor, outdoor, and exploratory missions.Three main topics located on the cutting edge of the state of the art are addressed, from both the theoretical and technological point of views: Dynamic world understanding and modelling for safe navigation, Obstacle avoidance and motion planning in dynamic environments, and Human-robot physical interactions. Several models and approaches are proposed for solving problems such as Simultaneous Localization and Mapping (SLAM) in dynamic environments, Mobile obstacle detection and tracking, World state estimation and motion prediction, Safe navigation in dynamic environments, Motion planning in dynamic environments, Robust decision making under uncertainty, and Human-Robot physical interactions.
