Perceived leisure service benefits of peri-urban community green Spaces: Impact of visual environment during day and night

• Deep learning and street view images are used to assess green space visuals and leisure service benefits perception (LSBP). • LSBP is generally higher during the day than at night. • Residents perceive more benefits in the day but less at night in parks, blue spaces, and high-quality residential areas. • The associations between visual elements and perceived leisure benefits vary across space and time. • More sidewalks and visual crowdedness lower LSBP in the daytime but enhance it at night. Community green spaces play a crucial role in providing leisure services by offering accessible areas for recreation, relaxation, and social activities. However, little is known regarding their impact on leisure service benefits perception (LSBP) in peri -urban areas over space and time. Taking Huadu District of Guangzhou in China as a case study area, this research assesses community green space quality, estimating LSBP with human-centric green space images and deep learning. Desktop mapping is employed to explore the spatial distribution of perceived leisure benefits, and geographically weighted regression (GWR) is adopted to examine the associations between the visual environment and LSBP. The results indicate that generally more leisure benefits (i.e., physiological, psychological, social, and cognitive benefits) of community green spaces are perceived during the day than at night. Some community parks and blue spaces demonstrate significant transitions from high LSBP during the daytime to low LSBP at night. Further, the five environmental visual elements, including green views, sky visibility, landscape diversity, walkability, and visual crowdedness, show varying associations with LSBP across both space (e.g., in high-quality residential areas and along community main roads) and time (e.g., during the day and at night). The findings provide empirical evidence for improving the planning of all-day leisure services in peri -urban community green spaces so that residents’ well-being and life satisfaction can be enhanced.

Authors

Institutions

Publication Details

Journal
Landscape and Urban Planning
Published
2025-03-12
DOI
https://doi.org/10.1016/j.landurbplan.2025.105338
Citations
15
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
18.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perceived leisure service benefits of peri-urban community green Spaces: Impact of visual environment during day and night

Chongxian Chen, Jing Yao, Xiaolei Xiong, Xinyue Feng
15 citations
Landscape and Urban Planning
Urban Green Space and Health
18.00
article

Perceived leisure service benefits of peri-urban community green Spaces: Impact of visual environment during day and night

Chongxian Chen, Jing Yao, Xiaolei Xiong, Xinyue Feng
article en
15 citations

Abstract

• Deep learning and street view images are used to assess green space visuals and leisure service benefits perception (LSBP). • LSBP is generally higher during the day than at night. • Residents perceive more benefits in the day but less at night in parks, blue spaces, and high-quality residential areas. • The associations between visual elements and perceived leisure benefits vary across space and time. • More sidewalks and visual crowdedness lower LSBP in the daytime but enhance it at night. Community green spaces play a crucial role in providing leisure services by offering accessible areas for recreation, relaxation, and social activities. However, little is known regarding their impact on leisure service benefits perception (LSBP) in peri -urban areas over space and time. Taking Huadu District of Guangzhou in China as a case study area, this research assesses community green space quality, estimating LSBP with human-centric green space images and deep learning. Desktop mapping is employed to explore the spatial distribution of perceived leisure benefits, and geographically weighted regression (GWR) is adopted to examine the associations between the visual environment and LSBP. The results indicate that generally more leisure benefits (i.e., physiological, psychological, social, and cognitive benefits) of community green spaces are perceived during the day than at night. Some community parks and blue spaces demonstrate significant transitions from high LSBP during the daytime to low LSBP at night. Further, the five environmental visual elements, including green views, sky visibility, landscape diversity, walkability, and visual crowdedness, show varying associations with LSBP across both space (e.g., in high-quality residential areas and along community main roads) and time (e.g., during the day and at night). The findings provide empirical evidence for improving the planning of all-day leisure services in peri -urban community green spaces so that residents’ well-being and life satisfaction can be enhanced.

Landscape and Urban PlanningVol. 259
South China Agricultural University (CN), Urban Big Data Centre (GB), University of Glasgow (GB)
Royal Society of Edinburgh, National Natural Science Foundation of China, Guangdong Office of Philosophy and Social Science, International Cooperation and Exchange Programme, Major Research Plan
Sustainable cities and communities
Openalex Percentile: Top 0%
Urban Green Space and Health
18.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.