International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105275 - 105275
Published: Feb. 1, 2025
Language: Английский
International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105275 - 105275
Published: Feb. 1, 2025
Language: Английский
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(8), P. 1312 - 1312
Published: April 9, 2024
Predicting urban-scale carbon emissions (CEs) is crucial in drawing implications for various urgent environmental issues, including global warming. However, prior studies have overlooked the impact of micro-level street environment, which might lead to biased prediction. To fill this gap, we developed an effective machine learning (ML) framework predict neighborhood-level residential CEs based on a single data source, view images (SVIs), are publicly available worldwide. Specifically, more than 30 streetscape elements were classified from SVIs using semantic segmentation describe whose visual features can indicate major socioeconomic activities that significantly affect CEs. A ten-fold cross-validation was deployed train ML models at 1 km grid level. We found, first, random forest (R2 = 0.8) outperforms many traditional models, confirming non-negligible explaining Second, building, wall, and fence views higher Third, presence trees grass inversely related Our findings justify feasibility as source effectively The applicable large regions across diverse urban forms, informing planners sustainable form strategies achieve carbon-neutral goals, especially development new towns.
Language: Английский
Citations
4Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 79, P. 103846 - 103846
Published: April 17, 2024
Language: Английский
Citations
4Land, Journal Year: 2024, Volume and Issue: 13(5), P. 621 - 621
Published: May 4, 2024
Economic resilience is crucial for urban sustainability as it ensures stability and growth in the face of external shocks, promotes social cohesion inclusivity, fosters environmental sustainability, enhances cities’ adaptability to future challenges. This study expands conventional perspective on economic beyond context focusing inherent regional systems. A novel method quantifying introduced, emphasizing system sensitivity adaptability. Using Chinese prefecture-level city data an econometric model, we empirically examine how Fintech, a major digital transition current systems, affects resilience. The findings reveal that Fintech has substantial positive effect resilience, primarily through upgrading industrial structures technological innovation. Furthermore, there significant heterogeneity impact with more pronounced contributions east, central, western regions China, opposed northeast. Additionally, large-scale cities. promotion transformation serves potent risk prevention measure. Understanding role systems holds valuable implications countries worldwide.
Language: Английский
Citations
4Land, Journal Year: 2025, Volume and Issue: 14(1), P. 147 - 147
Published: Jan. 13, 2025
Low-carbon pilot policies are essential for the green transformation of resource-based cities, helping them mitigate “carbon curse” and “resource while promoting sustainable socio-ecological development. Focusing on a panel 114 cities in China, spanning from 2003 to 2022, this study employs range methodologies, including kernel density estimation, Difference-in-Differences Model, Spatial Difference-in-Differences, Mediation Analysis, K-means Clustering, Dual Machine Learning assess consequences low-carbon resilience. The findings indicate that resilience area has generally improved, though there is noticeable polarization. significantly enhance by 0.4%, they exhibit positive spatial spillover effect 1.1%. However, long-term effects economic were not significant, did have direct impact social cities; however, promote neighboring regions. Finally, effectiveness pilots varies, with more pronounced benefits declining mature resource particularly those medium ecological resilience, low Green finance, industrial transformation, carbon emission efficiency identified as key strategies improving above provide insights policymakers seeking foster inclusive, resilient, urban development China.
Language: Английский
Citations
0International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105275 - 105275
Published: Feb. 1, 2025
Language: Английский
Citations
0