无信号控制路段电动自行车过街速度分析

Research on Speed of Crossing Electric Bicycle at Un-signalized Controlled Segment

为了解析无信号控制路段过街横道处的电动自行车过街速度,采集了镇江市5处过街横道处的电动车自行车过街行为数据样本,得出不同条件下的电动自行车车过街平均速度:男性为2.19 m/s;女性为2.04 m/s;青年、中年与老年分别为2.18 m/s、2.12 m/s、1.95 m/s。基于年龄、性别、过街方式、过街干扰因素对电动自行车过街平均速度影响的分析结果,利用SPSS软件以电动自行车过街平均速度为因变量,性别、年龄、过街方式、是否推车、是否交谈、是否使用手机、是否负重作为自变量进行建模分析。结果表明:老年、是否负重对电动自行车过街速度影响不显著,并针对影响显著变量建立了电动自行车过街平均速度的线性回归模型,并标定系数。

In order to research the speed of crossing electric bicycle at un-signalized controlled segment,electric bicycle crossing speed data were collected as samples and analyzed on five pedestrian crosswalks in Zhenjiang,and the average speed of every type of crossing electric bicycle was concluded： the male is 2. 19 m / s; the female is 2. 04 m / s; youth,adult and aged are 2. 18 m / s,2. 12 m / s,1. 95 m / s. The impacts,including electric bicycle rider＇s age and gender,crossing pattern and interference factors,on electric bicycle crossing speed are analyzed. The linear regression method was used for the statistical analysis on the sample. In the process of analysis,the average speed of crossing electric bicycle was regarded as the dependent variable,while the gender and age of electric bicycle rider,whether pushing the electric bicycle across the street or not,whether using the phone and whether with load or not were seen as the variables. The result shows that the aged and whether with load has no significant influence on the crossing rate of electric bicycle. The linear regression model about crossing speed of electric bicycle was constructed on the basis of the remaining variables,meanwhile,the SPSS software was applied to calibrating the coefficient of the linear regression equation.