Digital placemaking, health &amp; wellbeing and nature-based solutions: A systematic review and practice model

Fuentes, Maria J Fernandez de Osso; Keegan, Brendan James; Jones, Marc V.; MacIntyre, Tadhg

doi:10.1016/j.ufug.2022.127796

Cited by 6 publications

(2 citation statements)

References 148 publications

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“…This may suggest an awareness of the adaptation provision potential of measures aimed at enhancing key ecosystem services (e.g., stormwater and flood management, microclimate regulation). Nature-based solutions, such as urban nature restoration and greening interventions, are praised for their multiple benefits through the reduction of urban risks (Goodwin et al, 2023;IPCC, 2022) and relatively low costs (Fernandez F. Pietrapertosa et al de Osso Fuentes et al, 2023).…”

Section: Are Me Cities Preparing For the Most Pressing Climate Impact...mentioning

confidence: 99%

Adaptation to Climate Change in Cities of the Mediterranean Europe

Pietrapertosa

Simões²,

Fokaides³

et al. 2022

SSRN Journal

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Section: Are Me Cities Preparing For the Most Pressing Climate Impact...mentioning

confidence: 99%

Adaptation to Climate Change in Cities of the Mediterranean Europe

Pietrapertosa

Simões²,

Fokaides³

et al. 2022

SSRN Journal

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“…The urban and rural areas must be developed for scientific transformation in order to offer new possibilities for human safety. [2] Future urban development, safety, health, and security challenges will arise when the bulk of the world's population moves into cities [3]. Even in developed nations, smart cities struggle to accommodate a sudden surge in population.…”

Section: Introductionmentioning

confidence: 99%

Smart Cities: An In-Depth Study of AI Algorithms and Advanced Connectivity

Yaswanth,

Babu,

Vineetha

et al. 2023

IJRITCC

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The goal of smart city development is to improve the quality of life by incorporating technology into daily activities. Artificial intelligence (AI) is critical to the ongoing development of future smart cities. The Internet of Things (IoT) idea connects every internet-enabled device for improved access and control. AI in various domains has changed ordinary towns into highly equipped smart cities. Machine learning and deep learning algorithms have proven indispensable in a variety of industries, and they are now being implemented into smart city concepts to automate and improve urban activities and operations on a large scale. IoT and machine learning technology are frequently used in smart cities to collect data from various sources. This article delves deeply into the significance, scope, and developments of AI-based smart cities. It also addresses some of the difficulties and restrictions associated with smart cities powered by AI. The goal of the study is to inspire and encourage academics to create original smart city solutions based on AI technologies.

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The evolutionary path of place making: From late twentieth century to post-pandemic cities

Amirzadeh,

Sharifi

2024

Land Use Policy

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Digital placemaking, health & wellbeing and nature-based solutions: A systematic review and practice model

Cited by 6 publications

References 148 publications

Adaptation to Climate Change in Cities of the Mediterranean Europe

Adaptation to Climate Change in Cities of the Mediterranean Europe

Smart Cities: An In-Depth Study of AI Algorithms and Advanced Connectivity

The evolutionary path of place making: From late twentieth century to post-pandemic cities

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