摘要
目前公交客流调查日期的确定往往过于经验性和随机性,不利于调查数据质量的把握。文中通过建立多元回归模型,定量研究了公交日常客流随机波动的天气影响因素,并结合IC卡数据样本特征分析,提出了确定公交客流辅助调查日期的具体方法。该方法在工程实践中得到良好应用,且为相应区域公交规划的调查日期确定提供了参考依据。
The subjectivity and randomness of the traditional method to determine the survey date of the public transit passenger flow goes against qualified survey data.In order to determine the survey date scientifically,on the basis of establishing multiple linear regression models to research the weather factors which cause random fluctuation of public transit daily passenger flow and analyzing the characteristic of smart card data,the paper presents a specific method.The method has been well applied to the engineering practice,and also provides a scientific reference to how to decide the survey date during the public transportation planning.
出处
《交通科技》
2016年第1期149-152,共4页
Transportation Science & Technology
基金
国家自然科学基金项目(51178346)资助
关键词
代表性公交客流
调查日期
天气影响因素
多元线性回归
representative transit passenger flow
survey date
weather impact factors
multiple linear regression