基于DeepLabV3+模型的轨道站点影响区自行车出行环境评价  

Evaluation of Bicycle Travel Environment in the Catchment Area of Rail Stations Based on DeepLabV3+Model

作　　者：朱震军 张芮嘉 张勇 过秀成[2] 韩吉 徐逸清 ZHU Zhen-jun;ZHANG Rui-jia;ZHANG Yong;GUO Xiu-cheng;HAN Ji;XU Yi-qing(College of Automobile and Traffic Engineering,Nanjing Forestry University,Nanjing 210037,China;School of Transportation,Southeast University,Nanjing 211189,China)

机构地区：[1]南京林业大学汽车与交通工程学院,南京210037 [2]东南大学交通学院,南京211189

出　　处：《科学技术与工程》2024年第10期4300-4306,共7页Science Technology and Engineering

基　　金：江苏省高等学校自然科学研究面上项目(20KJB580013);江苏高校哲学社会科学研究一般项目(2020SJA0125);南京林业大学高学历(高层次)人才科研启动基金(163106041)。

摘　　要：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1500 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 environmental assessment of bicycle travel in rail stations catchment areas is critical for promoting the efficiency and quality of bicycle feeder trips.Based on multi-source data from Baidu Street View,road network,and rail stations,the comfort,safety,convenience,and accessibility of bicycle riding environment evaluation indexes were selected.The DeepLabV3+model and sDNA analysis were used to assess the bicycle travel environment of various types of roadways within the 1500 m range influence region of the rail station,with Nanjing City serving as an example for empirical analysis.The results show that there are spatial differences in bicycle travel environment in the catchment area of the rail stations.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.

关 键 词：轨道站点影响区 自行车出行 DeepLabV3+模型 出行环境评价 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]