城市高密度住区骑行环境视觉安全感知影响因素研究——以武汉市为例  

Research on Influencing Factors of Visual Safety Perception of Cycling Environment in High-density Residential Areas:A Case Study Based on Wuhan

作　　者：张元欣 王璐琦 徐涛 ZHANG Yuanxin;WANG Luqi;XU Tao

机构地区：[1]武汉理工大学土木工程与建筑学院

出　　处：《南方建筑》2025年第3期13-21,共9页South Architecture

基　　金：国家自然科学基金资助项目(52278077):城市生活服务设施驱动生活出行低碳化机理和规划调控方法研究;中央高校基本科研业务费专项资金资助项目(2022IVA036):基于日常生活圈的社区建成环境与骑行活动关联机制研究。

摘　　要：随着当前城市中骑行活动的增加,居民对骑行环境品质,尤其是安全性的要求不断提升。提高骑行环境安全性,需要深入理解影响骑行安全感知的因素,以武汉市主城区高密度住区的骑行环境为例,基于骑行者视角自采集街景图像,借助计算机视觉和街景感知问卷调查获取骑行环境数据以及居民安全感知数据。通过构建混合效应有序逻辑回归模型分析骑行视觉安全感知的影响因素及其作用机制,发现不同类型骑行场景的安全感知存在显著差异,同一因素的影响作用在不同类型的骑行场景中表现出明显的差异。在自行车道建设较好的条件下,骑行安全感知主要受绿视率、天空开敞度等环境因素的影响,在自行车道建设较差的条件下,个体差异的影响更加明显。基于结果针对不同类型骑行环境提出改善建议,为高密度住区骑行环境建设与安全性提升提供指引。Cycling plays a vital role in reducing carbon emissions from urban transportation and improving residents'physical and mental well-being.A safe cycling environment is a fundamental prerequisite to encourage residents to choose green travel.It requires a deep understanding of influencing factors of cycling safety driving to improve the cycling environment's safety.High-density residential areas are important places for cycling activities in urban areas.In this study,three typical high-density residential areas in the main urban area of Wuhan City were chosen as the research samples.Multiple mixed-effect ordinal models were built by the self-collected cycling street view data and questionnaire surveys.The influencing factors of visual cycling safety perception and their action mechanisms were analyzed from the perspectives of the environment and individuals.First,the cycling routes were designed within the selected districts,and a GoPro camera was mounted on a bicycle to record street-view videos from the cyclist's perspective.One image was extracted every 20 m using the GPS trajectory embedded in the videos.Computer vision technology was employed for panoptic segmentation of all extracted images.The environmental elements were identified,and indexes like a green view index and enclosure degree were calculated.Second,100 representative images were selected according to the calculated results of indicators and the types and colors of cycle paths for the questionnaire survey of cycling environmental safety perception.The scores of 588 respondents to cycling safety perception in images and their personal information(e.g.,age,gender,and daily cycling behaviors)were collected in the questionnaire.A joint analysis of environmental data in images and questionnaire data was carried out.Considering the nested nature of data,some mixed-effect ordinal models were built to analyze the influences of individual and environmental factors on cycling safety perception.Additionally,models were built for five types of cycling scenari

关 键 词：骑行环境 高密度住区 街景感知 骑行安全性 

分 类 号：TU984[建筑科学—城市规划与设计]