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

Assessing Future Ecological Sustainability Shaped by Shared Socioeconomic Pathways: Insights from an Arid Farming–Pastoral Zone of China DOI Creative Commons
Jiachen Ji,

Sunxun Zhang,

Tingting Zhou

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 2894 - 2894

Published: Aug. 8, 2024

Ecological sustainability quantifies the capacity of an ecological system to sustain its health while fulfilling human survival needs and supporting future development. An accurate projection dynamics for is crucial decision-makers comprehend potential risks. However, intricate interplay between climate change activity has hindered comprehensive assessments sustainability, leaving it inadequately investigated thus far. This study aimed assess shaped by Shared Socioeconomic Pathways (SSPs) using remote sensing data from a typical arid farming–pastoral zone located at northern foot Yinshan Mountain (NFYM), Inner Mongolia, China. Five machine learning models were employed evaluate relationship driving factors. The results indicate that (1) overall initially decreased then increased during 2003–2022; (2) Geophysical Fluid Dynamics Laboratory Earth System Model version 4 (GFDL-ESM4) mode random forest model demonstrated best performance in simulations; (3) annual rates 2023 2099 are projected be +0.45%, −0.05%, −0.46% per year under SSP1-2.6, SSP2-4.5, SSP5-8.5 scenarios, respectively, suggesting stringent environmental policies can effectively enhance sustainability. proposed framework assist understanding changes different SSPs calls strategies ecosystem resilience NFYM similar regions.

Language: Английский

Citations

2
Improving Urban Climate Adaptation Modeling in the Community Earth System Model (CESM) Through Transient Urban Surface Albedo Representation DOI Creative Commons
Yuan Sun, Bowen Fang,

Keith W. Oleson

et al.

Journal of Advances in Modeling Earth Systems, Journal Year: 2024, Volume and Issue: 16(12)

Published: Dec. 1, 2024

Abstract Increasing the albedo of urban surfaces, through strategies like white roof installations, has emerged as a promising approach for climate adaptation. Yet, modeling these on large scale is limited by use static surface representations in Earth system models. In this study, we developed new transient scheme Community System Model and evaluated evolving adaptation under varying configurations. Our simulations model gradual increase roofs, impervious roads, walls from 2015 to 2099 SSP3‐7.0 scenario. Results highlight cooling effects modifications, which reduce annual‐mean canopy heat island intensity 0.8°C 0.2°C 2099. Compared high‐density medium‐density areas, higher configurations are more effective environments within tall building districts. Additionally, changes lead energy consumption, where high results indoor heating usage areas located beyond 30°N 25°S. This offers potential applications simulating natural variations across surfaces enables inclusion other parameters, such emissivity.

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