ABSTRACT
The COVID-19 pandemic made visible the need for greater participation of diverse communities in the planning of cities since it revealed exclusions based on gender, migratory status, and class. As a result, initiatives were launched that applied new technologies, digital platforms, and data-based intelligence to bring alternative solutions to the re-use and re-management of public space. The aim of this article is to analyze Her City, a joint effort of UN-Habitat and Global Utmaning, meant to guide urban actors to implement projects through an open and digitally accessible platform that involves girls and young women in urban planning and design. The authors conducted a review of literature and analyzed a case study that included the application of the Toolbox in Chania, Greece, concluding that although Her City can face challenges in the post pandemic scenario, it could be considered among these new, radical, and forward-thinking technologies, groundbreaking from an urban planning point of view that can address large-scale challenges or opportunities in the design of public spaces.
ABSTRACT
The countermeasures taken during the COVID-19 pandemic opened discussions regarding their status as temporal or ephemeral as they designated the positive environmental effects of the COVID-19 anthropause. The necessity to think about city transformation in times of environmental and health crises has revealed a number of digital tools and greening practices that might shape new policy and planning models to affront global challenges. Among these tools, a number of 'urban acupuncture' activities have revealed the role of greening and gardening in urban spaces and how they assist in tackling challenges of environmental sustainability and city resilience. The authors investigate the contribution of vertical gardening (VG) as urban health enhancer and its prospects within smart city. They select and assess two case studies that integrate synergies between VG and machine learning (ML) approaches in an effort to showcase the tools' combined effect in realizing environmental control. These experiments imply hints for potential future research and implementation to broaden environments. © 2022, IGI Global.
ABSTRACT
The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties;the rigidness and resistance of an area and its communities to possible crisis;the ability of an area, its communities, infrastructure, and business to spring back into shape;and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research's theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians. © 2022 by IGI Global. All rights reserved.