Green spaces and flood vulnerability in urbanising regions: a case study in the Philadelphia metropolitan area DOI
Sina Razzaghi Asl

Environmental Hazards, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: Oct. 9, 2024

Flooding continues to be one of the most significant natural hazards, disproportionately impacting vulnerable populations in urbanising regions. This study aims examine relationship between green space density and flood vulnerability Philadelphia Metropolitan Area by integrating social geophysical data. The research focuses on identifying areas where high coincides with low availability, as these are critical regions for targeted intervention. Using indicators such income, age, housing characteristics, combined factors like soil permeability drainage density, assesses across census block groups. Local Indicators Spatial Association (LISA) discriminant analysis were employed detect spatial clusters elevated risks density. Results reveal that high-risk concentrated densely urbanised Norristown, lower-income elderly overrepresented. These findings reinforce broader environmental justice concerns, socially communities face compounded from both inadequate protection limited access spaces. emphasises need integrated management, combining infrastructure structural interventions, guide urban planners policymakers reducing promoting equity.

Language: Английский

Integrating AI in Green and Blue Infrastructure for Sustainable Smart Cities DOI
Josué Román Martínez-Mireles, Jazmín Rodriguez-Flores, Rafael Alfonso Figueroa Díaz

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 337 - 364

Published: Feb. 18, 2025

The future of sustainable smart cities is based on effective collaboration between technology, policy and community engagement, with the integration artificial intelligence (AI) into urban planning rapidly transforming way manage their environmental resources. This innovative technology has potential to improve functionality green blue infrastructure, offering solutions that address both ecological conservation urbanization challenges. As strive for sustainability, application AI enables real-time monitoring predictive analytics, facilitating more informed decision-making balances human needs demands. In conclusion, while holds great promise environments, it simultaneously requires a comprehensive framework prioritizes equity, active citizen participation in shaping future.

Language: Английский

Citations

1

Exploring the Mental Health Benefits of Urban Green Spaces Through Social Media Big Data: A Case Study of the Changsha–Zhuzhou–Xiangtan Urban Agglomeration DOI Open Access
Zhijian Li, Tian Dong

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3465 - 3465

Published: April 13, 2025

Urban green spaces (UGSs) provide recreational and cultural services to urban residents play an important role in mental health. This study uses big data mining techniques analyze 62 parks the Changsha–Zhuzhou–Xiangtan agglomeration (CZXUA) based on such as points of interest (POIs), areas (AOIs), user comments from popular social media platform Dianping. In addition, authors apply sentiment analysis using perceptual dictionaries combined with geographic information identify text emotions. A structural equation model (SEM) was constructed IBM SPSS AMOS 24.0 software investigate relationship between five external features, types services, nine landscape elements, four environmental factors, tourist The results show that UGS factors all have positive effects residents’ emotions, elements having greatest impact. other similar moods. various UGSs, natural vegetation water tend evoke emotions residents, while artificial roads, squares, buildings elicit more varied emotional responses. research provides science-based support for design management parks.

Language: Английский

Citations

0

Ripples of blue: Unveiling the influence of urban blue spaces on public happiness through social networking sites DOI
Ming Gao, Congying Fang

Applied Geography, Journal Year: 2025, Volume and Issue: 179, P. 103632 - 103632

Published: April 22, 2025

Language: Английский

Citations

0

Green spaces and flood vulnerability in urbanising regions: a case study in the Philadelphia metropolitan area DOI
Sina Razzaghi Asl

Environmental Hazards, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: Oct. 9, 2024

Flooding continues to be one of the most significant natural hazards, disproportionately impacting vulnerable populations in urbanising regions. This study aims examine relationship between green space density and flood vulnerability Philadelphia Metropolitan Area by integrating social geophysical data. The research focuses on identifying areas where high coincides with low availability, as these are critical regions for targeted intervention. Using indicators such income, age, housing characteristics, combined factors like soil permeability drainage density, assesses across census block groups. Local Indicators Spatial Association (LISA) discriminant analysis were employed detect spatial clusters elevated risks density. Results reveal that high-risk concentrated densely urbanised Norristown, lower-income elderly overrepresented. These findings reinforce broader environmental justice concerns, socially communities face compounded from both inadequate protection limited access spaces. emphasises need integrated management, combining infrastructure structural interventions, guide urban planners policymakers reducing promoting equity.

Language: Английский

Citations

1