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

Authors :
Tianwei Fang
Linguo Zhou
Zhenrao Cai
Zhijin Tan
Chao Chen
Jiali Zheng
Chaoyang Fang
Source :
Computational Urban Science, Vol 4, Iss 1, Pp 1-19 (2024)
Publication Year :
2024
Publisher :
Springer, 2024.

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.

Details

Language :
English
ISSN :
27306852
Volume :
4
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Computational Urban Science
Publication Type :
Academic Journal
Accession number :
edsdoj.67535b90e90e430c882674e61394ddc2
Document Type :
article
Full Text :
https://doi.org/10.1007/s43762-024-00141-1