湖南大学学报（自然科学版）2025，Vol.52Issue(5)：154-161,8.DOI:10.16339/j.cnki.hdxbzkb.2025056
基于Beta随机效应模型的城市轨道交通客运分担率研究
Research on Ridership Share of Urban Rail Transit with the Beta Random Effects Regression Model
摘要
Abstract
To identity the key factors affecting ridership share of urban rail transit(URT),with the panel data of 14 cities from 2010 to 2021,the share of the URT ridership in the total public transit ridership is analyzed here to identify the key influencing factors.Considering the possible heterogeneities over city and year,a Beta regression model with city-level and yearly random effects is built to identify the key influencing factors from conventional bus,URT,and socio-economic aspects.The model is estimated with the integrated nested Laplace approximation method.The estimation results show that the number of conventional buses per 10 000 people,the URT length per 10 000 people,and the URT connectivity have significantly positive effects on the URT ridership share,while the length of bus routes per 10 000 people,GDP per capita,and road area per capita are insignificant.Besides,both city and year show significant random effects:the URT ridership shares are found to vary differently across cities,but they generally show an increasing trend during the survey period.关键词
城市交通/城市轨道交通/客运分担率/Beta回归模型/随机效应/积分嵌套拉普拉斯逼近Key words
urban transportation/urban rail transit/the ridership share/Beta regression model/random ef-fect/integrated nested Laplace approximation分类
交通工程引用本文复制引用
刘晨辉,苏美玲,王星宇,张铭钰,吴奇,张佳伟..基于Beta随机效应模型的城市轨道交通客运分担率研究[J].湖南大学学报（自然科学版）,2025,52(5):154-161,8.基金项目
地理信息安全与应用湖南省工程研究中心开放课题资助(HNGISA2023003),Supported by the Open Topic of Hunan Engineering Research Center of Geographic Information Security and Application(HNGISA2023003) （HNGISA2023003）
中央高校基本科研业务费专项资金项目(5311180 10636),Supported by the Fundamental Research Funds for the Central Universities(531118010636) （5311180 10636）
长沙市科技计划项目(kh2201042),Sci-ence and Technology Program of Changsha(kh2201042) （kh2201042）
