This book contains a selection of the best articles presented at the CUPUM (Computational Urban Planning and Urban Management) conference, held in the second week of July 2019 at the University of Wuhan, China. The chapters included were selected based on a double-blind review process involving external reviewers.

As urbanization accelerates, cities around the globe face unprecedented challenges and opportunities. "Smart Cities Blueprint: Innovations in Urban Planning and Management" provides a comprehensive guide to designing, implementing, and managing smart cities that leverage technology and innovation for sustainable and efficient urban living. This book covers a wide range of topics, from smart infrastructure and IoT integration to data-driven governance and citizen engagement. Through in-depth analysis, practical insights, and real-world case studies, this guide offers valuable knowledge for urban planners, policymakers, architects, engineers, and anyone interested in the future of urban development. Transform your city with cutting-edge strategies and make it a model of smart urban planning and management.

While urban settlements are the drivers of the global economy and centres of learning, culture, and innovation and nations rely on competitive dynamic regions for their economic, social, and environmental objectives, urban centres and regions face a myriad of challenges that impact the ways in which people live and work, create wealth, and interact and connect with places. Rapid urbanisation is resulting in urban sprawl, rising emissions, urban poverty and high unemployment rates, housing affordability issues, lack of urban investment, low urban financial and governance capacities, rising inequality and urban crimes, environmental degradation, increasing vulnerability to natural disasters and so forth. At the regional level, low employment, low wage growth, scarce financial resources, climate change, waste and pollution, and rising urban peri-urban competition etc. are impacting the ability of regions to meet socio-economic development goals while protecting biodiversity. The response to these challenges has typically been the application of inadequate or piecemeal solutions, often as a result of fragmented decision-making and competing priorities, with numerous economic, environmental, and social consequences. In response, there is a growing movement towards viewing cities and regions as complex and sociotechnical in nature with people and communities interacting with one another and with objects, such as roads, buildings, transport links etc., within a range of urban and regional settings or contexts. This comprehensive MRW will provide readers with expert interdisciplinary knowledge on how urban centres and regions in locations of varying climates, lifestyles, income levels, and stages development are creating synergies and reducing trade-offs in the development of resilient, resource-efficient, environmentally friendly, liveable, socially equitable, integrated, and technology-enabled centres and regions.

Management of IoT Open Data Projects in Smart Cities demonstrates a key project management methodology for the implementation of Smart Cities projects: Principles and Regulations for Smart Cities (PaRSC). This methodology adopts a basis in classic Scrum soft management methods with carefully considered expansions. These include design principals for high-level architecture design and recommendations for design at the level of project teams. This approach enables the deployment of rule-based linguistic models for IoT project management, supporting the design of high-level architecture and providing rules for Scrum Smart Cities team. After reading this book, the reader will have a thorough grounding in IoT nodes and methods of their design, the acquisition and use of open data, and the use of project management methods to collect open data and build business models based on them. - Presents a unified method for smart urban interventions based on the adjustment of Scrum to the complexity of smart city projects - Establishes a key model for intelligent systems verification in Smart Cities projects - Demonstrates how practitioners can gain from the adoption of rule-based linguistic models

The smart city movement, during the last decade and a half, advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe, in terms of official smart city policies and initiatives, along with the constant push of global technology giants, has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. The first volume, with its 12 chapters, provides a sound understanding on the key foundations and growth directions of smart city frameworks, technologies, and platforms, with theoretical expansions, practical implications, and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies, communities, and urban futures, with theoretical expansions, practical implications, and real-world case study lessons. These volumes offer an invaluable reference source for urban policymakers, managers, planners, practitioners, and many others, particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover, the book is also a rich and important repository for scholars and research and undergraduate students.

A smart city uses technology to provide services and solve problems to improve urban policy efficiency, reduce waste, improve quality of life, and maximize social inclusion. By 2050, 66% of the world’s population is expected to be urban, which is a key driver of a global trend toward the creation of smart cities. This trend creates many opportunities for urban planning committees to learn how to design, modernize, and operate smart cities intelligently and effectively. Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development is a collection of topics that are relevant to the design of a smart city. This book aims to complement technical journal articles that require advanced knowledge of the subject of smart cities and applications for readers. It aims to bridge knowledge gaps in sustainable urban design by providing background information via case studies to facilitate students, recent graduates and new practitioners in urban design and planning. Key Features: - This book features 9 chapters that cover 6 major domains, which include (i) information modelling, (ii) internet of things, (iii) intelligent transportation systems, (iv) water supply, (v) waste management and (vi) sustainable environment - Computational techniques are included in the book. These include artificial neural networks, stochastic models, particle swarm optimization, machine learning, and adaptive neuro-fuzzy Inference systems. - Goals of case studies presented in this book use computational techniques to offer readers examples of supervised, unsupervised and reinforcement learning strategies in the context of smart city applications - References are provided for further reading

This handbook provides the most comprehensive examination of Asian cities—developed and developing, large and small—and their urban development. Investigating the urban challenges and opportunities of cities from every nation in Asia, the handbook engages not only the global cities like Shanghai, Tokyo, Singapore, Seoul, and Mumbai but also less studied cities like Dili, Malé, Bandar Seri Begawan, Kabul, and Pyongyang. The handbook discusses Asian cities in alignment to the United Nations’ New Urban Agenda and Sustainable Development Goals in order to contribute to global policy debates. In doing so, it critically reflects on the development trajectories of Asian cities and imagines an urban future, in Asia and the world, in the post-sustainable, post-global, and post-pandemic era. Presenting 43 chapters of original, insightful research, this book will be of interest to scholars, practitioners, students, and general readers in the fields of urban development, urban policy and planning, urban studies, and Asian studies.

This book presents the proceedings of the International Conference on Managing Business through Web Analytics (ICMBWA 2021). The conference provides a global forum for sharing knowledge and results in theory, methodology, and applications of Web Analytics and their role in the formulation and the orientation of businesses’ strategies. The aim of the conference is to provide a platform for researchers and practitioners from both academia and industry to meet and share their works in the field. Is an excellent resource for scholars, experts and industrial in the fields represented, as well as Ph.D. students seeking an entryway into current research in data analytics, Web analytics, machine learning algorithms, and their various applications within businesses.

“Smart City” programs and strategies have become one of the most dominant urban agendas for local governments worldwide in the past two decades. The rapid urbanization rate and unprecedented growth of megacities in the 21st century triggered drastic changes in traditional ways of urban policy and planning, leading to an influx of digital technology applications for fast and efficient urban management. With the rising popularity in making our cities “smart”, several domains of urban management, urban infrastructure, and urban quality-of-life have seen increasing dependence on advanced information and communication technologies (ICTs) that optimize and control the day-to-day functioning of urban systems. Smart Cities, essentially, act as digital networks that obtain large-scale real-time data on urban systems, process them, and make decisions on how to manage them efficiently. The book presents 26 chapters, which are organized around five topics: (1) Conceptual framework for smart cities and communities; (2) Technical concepts and models for smart city and communities; (3) Civic engagement and citizen participation; (4) Case studies from the Global North; and (5) Case studies from the Global South.

This book forms a selection of chapters submitted for the CUPUM (Computational Urban Planning and Urban Management) conference, held in the second week of June 2021 at Aalto University in Helsinki, Finland. Chapters were selected from a double-blind review process by the conference's scientific committee. The chapters in the book cover developments and applications with big data and urban analytics, collaborative urban planning, applications of geodesign and innovations, and planning support science.