Developing a Model to Study Walking and Public Transport to Attractive Green Spaces for Equitable Access to Health and Socializing Opportunities as a Response to Climate Change: Testing the Model in Pu’er City, China DOI Open Access
Chengdong Xu, Jianpeng Zhang,

Xu Yi

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1944 - 1944

Published: Nov. 5, 2024

Green space is not always equitably located in cities, and the attractiveness of green varies, leaving some residents with easy access to high-quality parks others little or no under-maintained parks. To remedy these inequities, this study identified attractive well-utilized recreational spaces developed a model measure likelihood using (PSG). The goal was reduce travel time cost walking public transportation get design all be attractive. data come from perspective city’s system residents’ personal choices. First, calculated big on geolocation cell phones, measuring level provision trip rates urban residents. After that, reach residential areas according habits. Finally, probability city being used by combining population size areas. Taking Pu’er City China as an example, utilization were PSG, results showed that choosing use are closer area, larger capacity, higher highest. help promote equitable health socialization opportunities for individuals communities, thereby promoting environmental justice mitigate respond climate change.

Language: Английский

Identifying priority areas for optimizing the urban thermal environment by considering the impacts of the built environment on outdoor thermal comfort DOI Creative Commons
Ninglong You

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

0
Exploring the inequality in urban parks’ distribution and their cooling effects from the perspective of urbanization DOI
Yi Zhou, Haile Zhao, Yuchao Luo

et al.

Landscape and Urban Planning, Journal Year: 2025, Volume and Issue: 260, P. 105390 - 105390

Published: April 24, 2025

Language: Английский

Citations

0
Impact of Changes in—Blue and Green Spaces on the Spatiotemporal Evolution of the Urban Heat Island Effect in Ningbo and Its Implications for Sustainable Development DOI Open Access
Hao Yang, Hao Zeng

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4156 - 4156

Published: May 4, 2025

Blue and green spaces (BGS) play a crucial role in mitigating the urban heat island (UHI) effect by not only lowering land surface temperature (LST) but also regulating microclimate enhancing ecosystem services. In this study, Ningbo City is selected as research area. LST data for years 2014, 2017, 2020, 2023 were retrieved using Landsat 8 imagery processed via Google Earth Engine platform, employing an atmospheric correction approach. Simultaneously, use types classified random forest algorithm. Based on these datasets, Geographically Temporally Weighted Regression model was employed to quantitatively assess spatial temporal impacts of BGS changes UHI effect. The results reveal that (1) from 2014 2023, exhibited consistent decline, while construction expanded significantly, leading gradual increase annual average LST; (2) strong zones primarily concentrated urbanized closely aligned with regions elevated minimum, maximum, values blue significantly lower than those observed cultivated land; (3) variation influence coefficient space greater space, suggesting stronger spatiotemporal heterogeneity its regulatory thermal environment. Additionally, green-to-blue area ratio increased 9.7:1 12.8:1 deviating progressively optimal ecological balance. To promote sustainable development, it imperative strengthen conservation restoration BGS, optimize their configuration through evidence-based planning, ensure long-term stability functions.

Language: Английский

Citations

0
Supply and demand analysis of urban thermal environments regulation services from an accessibility perspective: A coupled thermal risk and green space cooling assessment model DOI
Zeqi Wang, Yikai Liu, Tianyu Wang

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 60, P. 102356 - 102356

Published: March 1, 2025

Language: Английский

Citations

0
Configuration of Green–Blue–Grey Spaces for Efficient Cooling of Urban Physical and Perceptual Thermal Environments DOI Creative Commons

Wenxia Zeng,

Kun Yang, Shaohua Zhang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 645 - 645

Published: March 18, 2025

Blue and green spaces are well-known for their benefits in improving urban thermal environments. However, the optimal configuration of green, blue, grey (GBGSs) physical mental health residents remains unclear. Therefore, we employed land surface temperature (LST), near-surface air (SAT), Humidex to analyze GBGS. The results indicated following: (1) spatial distribution Perceptual Urban Thermal Environments (PTEs) is consistent with that Surface (STEs). most perceptual indicators lower than daytime LST higher SAT. (2) have cooling efficiency spaces. (3) coverage space less 40%, at least 35% space, blue covers between 15% 25%, which balance environment. Moreover, increasing simplifying recommended where below 30%. In areas 30–40% enhancing complexity fragmentation boundaries more effective. Maintaining 30% optimizing aggregation improves over 40%. This study provides scientific foundation GBGSs development renovations.

Language: Английский

Citations

0
Impact of blue spaces on urban microclimate in different climate zones, daytimes and seasons – a systematic review DOI Creative Commons
Lukas Fricke, Rupert Legg, Nadja Kabisch

et al.

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: unknown, P. 128528 - 128528

Published: Oct. 1, 2024

Language: Английский

Citations

2
Exploring the Potential Relationship between Cooling Green Space and Built-up area: Analysis of Community Green Space Characteristics Based on GWPCA DOI Creative Commons
Shengyu Guan, Haihui Hu

Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112190 - 112190

Published: Oct. 12, 2024

Language: Английский

Citations

2
Quantitatively comparing the morphological influences on the cool island effect in urban waterfront blue-green spaces across six cities near 30°N DOI
Weiwu Wang, Jie He, Xiaoyu Wang

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102076 - 102076

Published: July 1, 2024

Language: Английский

Citations

1
Exploring the supply-demand match and drivers of blue-green spaces cooling in Wuhan Metropolis DOI
Yunhao Fang, Liyuan Zhao

Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102194 - 102194

Published: Nov. 1, 2024

Language: Английский

Citations

1
Developing a Model to Study Walking and Public Transport to Attractive Green Spaces for Equitable Access to Health and Socializing Opportunities as a Response to Climate Change: Testing the Model in Pu’er City, China DOI Open Access
Chengdong Xu, Jianpeng Zhang,

Xu Yi

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1944 - 1944

Published: Nov. 5, 2024

Green space is not always equitably located in cities, and the attractiveness of green varies, leaving some residents with easy access to high-quality parks others little or no under-maintained parks. To remedy these inequities, this study identified attractive well-utilized recreational spaces developed a model measure likelihood using (PSG). The goal was reduce travel time cost walking public transportation get design all be attractive. data come from perspective city’s system residents’ personal choices. First, calculated big on geolocation cell phones, measuring level provision trip rates urban residents. After that, reach residential areas according habits. Finally, probability city being used by combining population size areas. Taking Pu’er City China as an example, utilization were PSG, results showed that choosing use are closer area, larger capacity, higher highest. help promote equitable health socialization opportunities for individuals communities, thereby promoting environmental justice mitigate respond climate change.

Language: Английский

Citations

0