Towards Responsible Urban Geospatial AI: Insights From the White and Grey Literatures

Journal of Geovisualization and Spatial Analysis, Journal Year: 2024, Volume and Issue: 8(2)

Published: June 26, 2024

Abstract Artificial intelligence (AI) has increasingly been integrated into various domains, significantly impacting geospatial applications. Machine learning (ML) and computer vision (CV) are critical in urban decision-making. However, AI implementation faces unique challenges. Academic literature on responsible largely focuses general principles, with limited emphasis the domain. This important gap scholarly work could hinder effective integration Our study employs a multi-method approach, including systematic academic review, word frequency analysis insights from grey literature, to examine potential challenges propose strategies for (GeoAI) integration. We identify range of practices relevant complexities using planning its implementation. The review provides comprehensive actionable framework adoption domain, offering roadmap researchers practitioners. It highlights ways optimise benefits while minimising negative consequences, contributing sustainability equity.

Language: Английский

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Understanding urban heat vulnerability: Scientometric analysis of five decades of research

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102035 - 102035

Published: June 27, 2024

Urban Heat Vulnerability (UHV) has received increasing attention over the last two decades due to exacerbation of global warming and Island (UHI) effect, amid rapid urbanisation climate change. While there been a notable growth in UHV research, systematic reviews meta-analyses focusing on broader range issues research trajectories are notably absent. This study aims provide comprehensive understanding historical progression, current clusters, emerging trends by utilising scientometric method. It examines 2340 UHV-related scholarly articles published past fifty years (1970s 2020s). The major findings this analysis are: (a) is an area expected rapidly expand; (b) clustered around five interconnected key areas: planning architectural design; environment ecology; public health wellbeing; meteorology; remote sensing; (c) recent shift focus towards wellbeing perspectives studies highlights importance human-social interdisciplinary collaboration; (d) Remote sensing, particularly supported machine learning, significant technical tool research; (e) aligns with UN sustainable development goals contributes achieving urban sustainability resilience. Further advancements will require collaboration, technological innovations, targeted policies effectively address heat impacts protect vulnerable populations.

Language: Английский

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Strategic tree placement for urban cooling: A novel optimisation approach for desired microclimate outcomes

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102084 - 102084

Published: July 1, 2024

Trees are crucial elements for improving urban microclimates by providing cooling through shading, evapotranspiration, and windbreaks. To maximise their effects, it is essential to strategically position the trees in optimal locations. However, research on optimising tree location its impact limited owing computational challenges costs. This study introduces a novel method that employs three optimisation algorithms—i.e., Non-dominated Sorting Genetic Algorithm II (NSGA-II), Particle Swarm Optimisation (PSO), Ant Colony (ACO)—to identify locations environments enhance thermal comfort. The methodology involves simulating microclimate responses placements optimised each algorithm assessing results based underscore efficacy of locations, demonstrating can significantly reduce Universal Thermal Comfort Index (UTCI) areas. Furthermore, findings suggest clustering canopies has compounding these benefits Notably, all algorithms improved UTCI. PSO demonstrated rapid identification effective configurations. ACO provided most substantial reduction air temperature, highlighting potential as an tool cooling. While efficient, NSGA-II plateaued earlier, suggesting utility scenarios where timely solutions crucial.

Language: Английский

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Boosting urban community resilience to multi-hazard scenarios in open spaces: A virtual reality – serious game training prototype for heat wave protection and earthquake response

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104847 - 104847

Published: Aug. 13, 2023

A key role in making cities resilient has been acknowledged raising risk preparedness and awareness of urban communities, by appropriate education communication strategies, which should rely on innovative pervasive tools. In this regard, an outstanding paradigm shift is driven the advancement Virtual Reality, can take advantage Serious Games, for helping individuals develop responsive behaviours case both slow sudden disasters and, thus, boosting effective human-urban-building interaction within a wider process safety sustainability. To end, paper proposes VR-SGs training prototype multi-hazard scenarios open spaces. The integrates results from phenomenological behavioural analyses applied to representative typologies built environment. demonstrated heat wave protection earthquake response through design implementation its functional features – virtual environment, mode, learning outcomes storyline informative contents, including simulation-based data surface temperatures, extent falling debris crowd motion. final goal validate reliable flexible tool view wide replication contexts instructing critical situations communicating mitigation strategies.

Language: Английский

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Study on waste tire pyrolysis product characteristics based on machine learning

Journal of environmental chemical engineering, Journal Year: 2023, Volume and Issue: 11(6), P. 111314 - 111314

Published: Oct. 27, 2023

Language: Английский

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