Investigating spatial and temporal characteristics and elements influencing running among residents of Nanchang city in green open areas

Abstract Understanding the exercise behaviors of urban residents in green open spaces is crucial for optimizing future urban spatial planning and improving residents’ quality of life. This study provides an in-depth analysis of residents’ running behaviors across 87 green open spaces in Nanchang City. Running data collected from the exercise platform Keep, coupled with urban geographic data and field research, reveals the spatial distribution and temporal variations of running activities, including running flow, distance, time, and pace. A set of indicator systems, such as total area, landscape form index, surrounding residential land area, and road conditions, is used to analyze its relationship with the environmental elements of green open spaces. The research results show that the running flow, running distance, and running time in green open spaces in Nanchang City are significantly influenced by different objective elements, while running pace shows little correlation with these environmental elements. Specifically, the study highlights the significant impact of elements such as total area and road length, as well as the number of nearby bus stops and population density, on residents’ running behaviors in Nanchang City’s green open spaces.

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Publication Details

Journal
Computational Urban Science
Published
2024-11-04
DOI
https://doi.org/10.1007/s43762-024-00141-1
Citations
3
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
0.94

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article

Investigating spatial and temporal characteristics and elements influencing running among residents of Nanchang city in green open areas

Jiali Zheng, Zhuang Tan, Zhenrao Cai, Linguo Zhou et al.
3 citations
Computational Urban Science
Urban Green Space and Health
0.94
article

Investigating spatial and temporal characteristics and elements influencing running among residents of Nanchang city in green open areas

Jiali Zheng, Zhuang Tan, Zhenrao Cai, Linguo Zhou, Chao Chen, Chaoyang Fang, Tien-Shi Fang
article en
3 citations

Abstract

Abstract Understanding the exercise behaviors of urban residents in green open spaces is crucial for optimizing future urban spatial planning and improving residents’ quality of life. This study provides an in-depth analysis of residents’ running behaviors across 87 green open spaces in Nanchang City. Running data collected from the exercise platform Keep, coupled with urban geographic data and field research, reveals the spatial distribution and temporal variations of running activities, including running flow, distance, time, and pace. A set of indicator systems, such as total area, landscape form index, surrounding residential land area, and road conditions, is used to analyze its relationship with the environmental elements of green open spaces. The research results show that the running flow, running distance, and running time in green open spaces in Nanchang City are significantly influenced by different objective elements, while running pace shows little correlation with these environmental elements. Specifically, the study highlights the significant impact of elements such as total area and road length, as well as the number of nearby bus stops and population density, on residents’ running behaviors in Nanchang City’s green open spaces.

Computational Urban ScienceVol. 4(1)
Hong Kong Polytechnic University (HK), Jiangxi Normal University (CN)
Education Department of Jiangxi Province
Sustainable cities and communities
Openalex Percentile: Top 24%
Urban Green Space and Health
0.94
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Investigating spatial and temporal characteristics and elements influencing running among residents of Nanchang city in green open areas — Jiali Zheng, Zhuang Tan, et al. · Computational Urban Science (2024) | TGRS Research Map | TGRS