Optimizing the spatial accessibility of outdoor sports facilities: a greedy heuristic algorithm based on remote sensing images DOI Creative Commons
Liyuan Liu, Zhicheng Xu, Shenjun Yao

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Aug. 13, 2024

Recent studies on the accessibility of sports facilities have rarely considered specific attributes facilities, limiting their ability to define service potential, and often neglected critical aspect equitable access. This study proposed a novel approach based remote sensing images optimize spatial outdoor facilities. Using Shanghai, China, as area, identified four types using deep learning object detection method, which allowed capacities (areas) be measured more precisely. A greedy heuristic algorithm was then developed "trade-off" strategy that seeks facility access by reconciling objectives enhancing ensuring equality weighing benefits utilizing existing resources (school facilities) against necessity developing new ones. The method achieved precision recall rates 88% 96%, respectively, optimization efforts resulted in 73% increase while also significantly reducing Gini coefficient from 0.58 0.34. outperformed random selection all-school-opening strategies. results indicated methodology can effectively create refined datasets for enhance accessibility.

Language: Английский

Spatiotemporal Evolution in the Thermal Environment and Impact Analysis of Drivers in the Beijing–Tianjin–Hebei Urban Agglomeration of China from 2000 to 2020 DOI Creative Commons

Haodong Liu,

Hui Zheng, Liyang Wu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(14), P. 2601 - 2601

Published: July 16, 2024

As urbanization advances, the issue of urban heat islands (UHIs) grows increasingly serious, with UHIs gradually transitioning into regional islands. There is still a lack research on evolution and drivers thermal environment in agglomerations; therefore, this study, we used trend analysis methods spatial statistical tools to investigate these issues Beijing–Tianjin–Hebei (BTH) agglomeration. The results demonstrated following: (1) land surface temperature (LST) exhibited low fluctuation, while relative (RLST) fluctuated significantly. In Zhangjiakou Chengde, LST RLST trends were complex, differed between daytime nighttime, as well annual seasonal scales. other regions, more obvious. (2) During daytime, high UHI clusters centered “BJ–TJ–LF” “SJZ–XT–HD” formed gradually; during mainly observed built-up areas. distribution range direction showed greater degrees summer. (3) total area an increasing trend, intensity stress suffered by BTH agglomeration was increasing. (4) Hebei, aerosol optical depth, solar radiation, population density, gross domestic product dominant factors influencing UHIs; moreover, Beijing Tianjin, all basically equal impact. methodology findings study hold significant implications for guiding construction, optimizing structure, improving comfort

Language: Английский

Citations

3

Influence of 2-D/3-D Urban Morphology on Diurnal Land Surface Temperature From the Perspective of Functional Zones DOI Creative Commons

Q. Zhang,

Jun Yang, Xinyue Ma

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 17036 - 17051

Published: Jan. 1, 2024

Language: Английский

Citations

3

The effect of urban form parameters on annual and diurnal cycles of land surface temperature with 30-meters hourly resolution DOI
Wen He, Shisong Cao,

Mingyi Du

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105806 - 105806

Published: Sept. 1, 2024

Language: Английский

Citations

1

Is shading a better way to cool down? Evaluation and comparison of the cooling capacity of blue-green spaces and urban shade DOI Creative Commons
Yu Zou, Jiao Chen, Hua Zong

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112688 - 112688

Published: Oct. 1, 2024

Language: Английский

Citations

1

Optimizing the spatial accessibility of outdoor sports facilities: a greedy heuristic algorithm based on remote sensing images DOI Creative Commons
Liyuan Liu, Zhicheng Xu, Shenjun Yao

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Aug. 13, 2024

Recent studies on the accessibility of sports facilities have rarely considered specific attributes facilities, limiting their ability to define service potential, and often neglected critical aspect equitable access. This study proposed a novel approach based remote sensing images optimize spatial outdoor facilities. Using Shanghai, China, as area, identified four types using deep learning object detection method, which allowed capacities (areas) be measured more precisely. A greedy heuristic algorithm was then developed "trade-off" strategy that seeks facility access by reconciling objectives enhancing ensuring equality weighing benefits utilizing existing resources (school facilities) against necessity developing new ones. The method achieved precision recall rates 88% 96%, respectively, optimization efforts resulted in 73% increase while also significantly reducing Gini coefficient from 0.58 0.34. outperformed random selection all-school-opening strategies. results indicated methodology can effectively create refined datasets for enhance accessibility.

Language: Английский

Citations

0