
Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105743 - 105743
Published: Aug. 16, 2024
Language: Английский
Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105743 - 105743
Published: Aug. 16, 2024
Language: Английский
Journal of Asian Architecture and Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17
Published: March 3, 2025
The thermal environment effect poses great threats to the sustainable development of cities. It is crucial identify priority areas for optimizing urban as a strategy mitigate this effectively. We developed comprehensive framework metrics evaluate community-scale outdoor comfort and built characteristics. This includes universal climate index green space morphology, utilizing large dataset meteorological data. Subsequent spatial econometric analysis pinpointed that have significant impact on comfort. Additionally, we applied methods supply–demand matching division determine key with imbalances areas. results showed substantial variability in among different community units old city Fuzhou, China. Seven building coverage ratio, patch density, shape index, etc. significantly influenced Among four identified relationships between comfort, 97 were categorized mismatch, 45 these highest priority. study provides scientific foundation devising more focused strategies optimize environment.
Language: Английский
Citations
0Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106281 - 106281
Published: March 1, 2025
Language: Английский
Citations
0Urban Climate, Journal Year: 2025, Volume and Issue: 60, P. 102356 - 102356
Published: March 1, 2025
Language: Английский
Citations
0Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106334 - 106334
Published: March 1, 2025
Language: Английский
Citations
0Land, Journal Year: 2025, Volume and Issue: 14(4), P. 771 - 771
Published: April 3, 2025
The surface urban heat island (SUHI) effect, driven by human activities and land cover changes, leads to elevated temperatures in areas, posing challenges sustainability, public health, environmental quality. While SUHI drivers at large scales are well-studied, finer-scale thermal variations remain underexplored. This study employed the Local Climate Zones (LCZs) framework analyze temperature (LST) dynamics Zhengzhou, China. Using 2022 mean LST data derived from a single-channel algorithm, combined with field surveys remote sensing techniques, we examined 30 potential driving factors spanning natural anthropogenic conditions. Results show that built-type LCZs had higher average LSTs (31.10 °C) compared non-built (28.91 °C), showing greater variability (10.48 °C vs. 6.76 °C). Among five major factor categories, landscape pattern indices dominated LCZs, accounting for 44.5% of variation, while Tasseled Cap Transformation indices, particularly brightness, drove 42.8% variation non-built-type LCZs. Partial dependence analysis revealed wetness fragmentation reduce whereas GDP, imperviousness, cohesion increase it. In population density, connectivity, brightness raise LST, atmospheric dryness provide cooling effects. These findings highlight need LCZ-specific mitigation strategies. Built-type require form optimization, enhanced expanded green infrastructure accumulation. Non-built benefit maintaining soil moisture, addressing dryness, optimizing vegetation configurations. provides actionable insights sustainable environment management resilience.
Language: Английский
Citations
0Land, Journal Year: 2025, Volume and Issue: 14(4), P. 801 - 801
Published: April 8, 2025
Understanding the socioecological nexus between urbanization and ecosystem health (EH) is crucial for formulating sustainable development policies. While prior research has focused on this topic, critical gaps persist in characterizing distributional polarization decomposing inequality drivers within coupled human–environment systems—particularly China’s Yellow River Basin (YRB), a strategic region undergoing concurrent ecological restoration urbanization. The integration of kernel density estimation Theil index establishes robust analytical framework to effectively overcome spatial heterogeneity limitations regional disparity research. Therefore, study combines coupling coordination degree (CCD), nonparametric estimation, decomposition examine complex interactions (EHI) across 538 county-level units from perspective heterogeneity. key findings reveal following: (1) Urbanization exhibited phased enhancement yet maintained elementary developmental stages overall, with distinct gradient descending eastern/central riparian counties western hinterlands. (2) EHI showed marginal upward trend, 80.29% persisted suboptimal categories (EHI-1 EHI-3), gains concentrated high-vegetation mountainous areas (45.72%) versus declines economically developed areas. (3) CCD evolved mild imbalance (II-1) low (III-1) but significant special differences—the midstream downstream improved markedly, while upstream remained weakest. (4) Intragroup disparities, particularly among middle reaches, were primary disequilibrium YRB, contributing 87.9% overall inequality. In contrast, regions improvements levels, accompanied by emergence “multi-polarization” patterns. provide refined differentiated decision-making references narrowing gap coordinated YRB.
Language: Английский
Citations
0Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115719 - 115719
Published: April 1, 2025
Language: Английский
Citations
0Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106396 - 106396
Published: April 1, 2025
Language: Английский
Citations
0Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145580 - 145580
Published: April 1, 2025
Language: Английский
Citations
0Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112266 - 112266
Published: Nov. 4, 2024
Language: Английский
Citations
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