
Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03395 - e03395
Published: Dec. 1, 2024
Language: Английский
Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03395 - e03395
Published: Dec. 1, 2024
Language: Английский
Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106129 - 106129
Published: Jan. 1, 2025
Language: Английский
Citations
1Building and Environment, Journal Year: 2025, Volume and Issue: 272, P. 112665 - 112665
Published: Feb. 4, 2025
Language: Английский
Citations
1International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)
Published: March 18, 2025
Language: Английский
Citations
1Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2059 - 2059
Published: Feb. 27, 2025
This study enhances our understanding of urban park accessibility and social equity through a novel methodological framework in Chengdu, China. By improving the three-step floating catchment area (3SFCA) method with space syntax metrics multi-modal transportation analysis, we identify spatial disparities green access. Our methodology, validated Baidu heat map data, demonstrates improved accuracy estimating population demand patterns. Key findings include: (1) The enhanced 3SFCA outperforms traditional approaches predicting accessibility, providing reliable evidence for planning; (2) significant exist across modes, particularly affecting non-motorized transport users; (3) newly developed areas show greater access inequities than established neighborhoods; (4) important mismatches between vulnerable distributions. research provides targeted recommendations reducing all residents, benefiting children elderly populations rapidly urbanizing contexts.
Language: Английский
Citations
0Land, Journal Year: 2025, Volume and Issue: 14(4), P. 711 - 711
Published: March 26, 2025
Assessing urban green spaces’ (UGSs) serviceability is crucial for ecosystems and well-being, but traditional approaches focus only on the quantity of UGSs while neglecting their spatial configuration or depend region-specific data sources, significantly limiting applicability comprehensive assessments comparisons UGSs. To address this problem, we proposed a novel triangular indicator framework evaluating UGS from perspective using public geospatial data. This integrated three independent indicators to capture ecological value residents’ utilization one composite proportion high-quality services. Our approach was applied across 368 cities in mainland China, significant geographical differences provision usage equality were identified. Cities with similar service characteristics grouped clustering, providing tailored improvement suggestions. Lastly, regression analysis conducted compare system metrics relation economic, demographic, environmental satisfaction data, highlighting advantages our its complementary role alongside ones. study offers new method large-scale evaluation, aiding policymakers refining distribution, improving equality, formulating effective planning strategies promote sustainable development.
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122475 - 122475
Published: Sept. 12, 2024
Language: Английский
Citations
3Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 117, P. 105845 - 105845
Published: Sept. 25, 2024
Language: Английский
Citations
3Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106006 - 106006
Published: Nov. 1, 2024
Language: Английский
Citations
3Journal of Urban Planning and Development, Journal Year: 2024, Volume and Issue: 150(3)
Published: May 30, 2024
Language: Английский
Citations
1Ecosystem Health and Sustainability, Journal Year: 2024, Volume and Issue: 10
Published: Jan. 1, 2024
Urban greenspace has a profound impact on public health by purifying the air, blocking bacteria, and creating activity venues. Due to people’s different position, exposure age groups changes at various times. In this study, we combined NDVI (normalized difference vegetation index) GVI (green view green indices with mobile signaling big data evaluate of 3 in Shanghai A dynamic assessment model for been adopted study. April 2021 2022 were selected as study periods, representing non-lockdown period lockdown period, respectively. The results indicate that slightly during period. During lockdown, 31 50, 51, above was higher than non-lockdown. However, people aged 0 30 is lower 51 other group. Whether it under or not, from 8:00 17:00, showed value hours. fluctuates steadily 6:00 24:00. This enriches evaluation dimensions urban exposure.
Language: Английский
Citations
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