1.Nanjing Forestry University;2.Southeast University
轨道站点影响区自行车出行环境评价对于促进自行车接驳出行效率和服务品质提升具有重要意义。采集百度街景、路网、轨道站点等多源数据，选取自行车出行环境的舒适性、安全性、便捷性和可达性评价指标，运用DeepLabV3+模型和sDNA分析法对轨道站点1 500 m范围影响区内不同类型道路的自行车出行环境进行评价，并以南京市为例进行实证分析。结果表明：站点影响区自行车出行环境存在空间差异性；交通型道路的自行车出行中间性、天空可视度高，但自行车存取方便程度低；生活型道路的自行车存取方便程度、绿视率高，但自行车出行中间性、安全性低；综合型道路各指标相对协调。
The evaluation of bicycle travel environment in the catchment area of rail stations is of great significance for promoting the efficiency of bicycle shuttle travel and the improvement of service quality. Based on Baidu Street View, road network, rail stations and other multi-source data, select the comfort, safety, convenience and accessibility evaluation indicators of bicycle travel environment, and DeepLabV3+ model, sDNA analysis and other methods are used to evaluate the bicycle travel environment of different types of roads in the catchment area within 1500m of the rail station, and an empirical analysis is carried out with Nanjing as an example. The results show that there are spatial differences in bicycle travel environment in the catchment area of the station; The traffic-type roads have high travel accessibility and high sky visibility, but low bicycle access convenience; Although the accessibility of life roads is low, the convenience of bicycle access and green vision rate are high. Comprehensive roads indicators are relatively coordinated.
朱震军,张芮嘉,张勇,等. 基于DeepLabV3+模型的轨道站点影响区自行车出行环境评价[J]. 科学技术与工程, , ():复制