Exploring Platform Urbanism Using Counter Mapping


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Exploring Platform Urbanism Using Counter-Mapping


Exploring Platform Urbanism Using Counter-Mapping

Author: Daniel Weissenrieder

language: en

Publisher: Springer Nature

Release Date: 2023-02-22


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In recent years, the world witnessed the rise of big digital platforms like Amazon, Airbnb, and Uber. The emerging research field of platform urbanism focuses on these developments and concentrates on platforms and their impact on everyday life in urban space. This book introduces a novel approach to the problems of accessibility and opacity in this area of research. In order to explore the black box platform urbanism more thoroughly, different participatory mapping approaches of critical cartography are examined. The potential of so-called counter-mapping practices and related approaches for a deeper exploration of platform urbanism is discussed. The author thus establishes the nexus between participatory mapping approaches of critical cartography and their application potential for platform urbanism and provides numerous starting points for future research.

Artificial Intelligence of Things for Smarter Eco-Cities


Artificial Intelligence of Things for Smarter Eco-Cities

Author: Simon Elias Bibri

language: en

Publisher: CRC Press

Release Date: 2024-12-30


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This book takes readers on a captivating journey into the transformative role of Artificial Intelligence (AI) and AI of Things (AIoT) technologies in reshaping sustainable urban development. By combining comprehensive theoretical analyses, synthesized empirical evidence, and practical case studies, it offers pioneering interdisciplinary insights and unifying frameworks. The book highlights the synergistic integration of Urban Brain (UB), Urban Digital Twin (UDT), Smart Urban Metabolism (SUM), and platform urbanism, underscored by their collaborative potential to revolutionize the environmental management, planning, and governance of smarter eco‐cities and sustainable smart cities. It leverages cutting‐edge technologies and data‐driven approaches to optimize urban systems, resource efficiency, and resilience. This approach provides a holistic understanding of the rapidly evolving landscape of AI‐ and AIoT‐driven sustainable urban development. Targeting a broad and diverse audience across multiple disciplines and fields, the book aims to share state‐of‐the‐art research, present innovative solutions, and forecast future trends in urban sustainability. As both a seminal reference and a valuable resource for researchers, practitioners, industry experts, and policymakers, it provides essential guidance for those engaged in driving technological innovation, steering urban transformation, promoting environmental sustainability, or working at the crossroads of these critical areas.

Seeing Smart Cities Through a Multi-Dimensional Lens


Seeing Smart Cities Through a Multi-Dimensional Lens

Author: H. Patricia McKenna

language: en

Publisher: Springer Nature

Release Date: 2021-05-07


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This book provides an interdisciplinary lens for exploring, assessing, and coming to new understandings of smart cities and regions, focusing on the six dimensions of sensing, awareness, learning, openness, innovation, and disruption. Using a hybrid case study and correlational approach, people from diverse sectors in a variety of small to medium to large-sized cities in multiple countries (e.g., Canada, United States, Ireland, Greece, Israel, etc.) provide experience-based perspectives on smart cities together with assessments for elements pertaining to each of the six dimensions. The analysis of findings in this work surfaces a rich and interwoven tapestry of patterns from the qualitative data highlighting for example, the importance of emotion/affect, privacy, trust, and data visualizations in influencing and informing the directions of smart cities and regions going forward. Correlational analysis of quantitative data reveals the presence and strength of emerging relationships among elements assessed, shedding light on factors that may serve as starting points for understanding what is contributing to potentials for improving success in smart cities and regions.