西部人居环境学刊2025，Vol.40Issue(4)：37-44,8.DOI:10.13791/j.cnki.hsfwest.20240519001
北京市高温暴露景观格局与户外休闲骑行空间关联研究
Spatial correlation of high temperature landscape pattern and outdoor leisure cycling in Beijing
摘要
Abstract
Outdoor cycling activities,as both a leisure activity and a zero-carbon mode of transportation,are popular among cycling enthusiasts and commuters.However,rapid urbanization has exacerbated the urban heat island effect,exposing more people to high-temperature environments,which,in turn,affects residents'willingness to engage in outdoor cycling.This study aims to explore the spatial correlation between the landscape pattern of surface high-temperature exposure and outdoor cycling activities in Beijing,evaluate the impact of high-temperature exposure on route selection,and propose optimization strategies to inform the creation of a cycling-friendly urban environment.This study analyzes the landscape pattern of high-temperature exposure in Beijing,characterizes the preference density features of cycling routes,and investigates the spatial correlation between high-temperature exposure and outdoor leisure cycling using landscape pattern indices,line density analysis,and bivariate spatial autocorrelation.Landsat 8 Level 2 remote sensing data,specifically the ST_B10 band,were used to obtain the surface temperature of Beijing.The landscape pattern indices,including the number of patches,mean patch size,Shannon's diversity index,and aggregation index,were applied to describe the spatial distribution of temperature.Cycling route data were obtained from the Xingzhe platform,and a spatial density analysis of cycling preferences was conducted.A total of 465 cycling routes were collected,including starting and ending coordinates,average slope,elevation,distance,and download volume.Using ArcGIS software,a 100-meter buffer was constructed around each route,and the spatial characteristics were extracted.Line density analysis was also performed,with density values weighted by route downloads.Bivariate global and local spatial autocorrelation analyses were conducted to explore the spatial relationship between high-temperature exposure and cycling preferences.Global spatial autocorrelation results show a significant negative correlation between surface temperature and cycling route preference,indicating that higher surface temperatures lead to lower cycling preferences.Local spatial autocorrelation further reveals four types of spatial relationships:high-temperature exposure—high preference(H-H),high-temperature exposure—low preference(H-L),low-temperature exposure—high preference(L-H),and low-temperature exposure—low preference(L-L).H-H areas are primarily cycling routes with beautiful natural scenery but lacking shading facilities,attracting cyclists despite high temperatures.H-L areas are mostly in central urban areas with dense buildings and insufficient green space,resulting in the lowest cycling preferences.L-H areas are located in mountainous regions like Mentougou and Changping,where low temperatures and favorable conditions increase cyclists'interest.L-L areas are in remote areas far from the city center,which,despite having lower temperatures,are less preferred due to a lack of natural scenery and supporting facilities.The results show that:1)The overall surface temperature in Beijing decreases from the central urban areas,such as Dongcheng District and Xicheng District,outward.The built-up area of the city is larger than that of mountainous and hilly areas,and the temperature landscape pattern varies in different areas.2)The spatial distribution of popular cycling routes is relatively concentrated,and these areas are located at moderate distances from the city center,which can meet cyclists'desire to get closer to nature.3)There is a significant spatial negative correlation between surface temperature and the preference for cycling routes.Surface temperature significantly affects route selection,and the spatial pattern is in a"discrete"state.High-temperature exposure—low preference and low-temperature exposure—high preference are most prominent on cycling roads.Based on this analysis,this study proposes three optimization strategies to improve the cycling environment in Beijing:First,increasing greening and shading facilities,particularly in H-H and H-L areas,by planting trees and shrubs,building rooftop gardens,and implementing vertical greening to reduce urban heat accumulation and improve the cycling experience.Second,optimizing cycling infrastructure by improving the quality of cycling paths,using permeable and heat-dissipating paving materials,and enhancing road lighting and signage to ensure nighttime safety.Third,the government should invest in cycling infrastructure,particularly in H-L areas,by adding greening and shading facilities,promoting green travel through media,and establishing cycling demonstration zones in L-H areas to integrate natural landscapes and cultural resources,promoting cycling culture.The findings of this study highlight the negative impact of high-temperature exposure on cycling activities and emphasize the importance of green space,shading facilities,and optimized infrastructure in urban planning,providing a scientific basis for creating a cycling-friendly urban environment.Future research could further explore the relationship between high-temperature exposure and other factors affecting cycling,and reveal the complex interactions between urban thermal environments and cycling preferences through multi-source data analysis,offering comprehensive theoretical support for improving urban environments.关键词
户外骑行/高温暴露/景观格局/空间关联Key words
outdoor cycling/high temperature exposure/landscape pattern/spatial correlation分类
建筑与水利引用本文复制引用
谢远江,徐海滨,黄建团..北京市高温暴露景观格局与户外休闲骑行空间关联研究[J].西部人居环境学刊,2025,40(4):37-44,8.基金项目
国家社科基金年度项目(22BTY020) （22BTY020）
