摘要
近年来,随着我国民航运输需求的增长,中国大陆已经有9个超大型机场的年旅客吞吐量突破了4000万人次.机场枢纽的吞吐量能力以及规模变得越来越大,机场陆侧交通也更加复杂和多样.对旅客陆侧交通出行方式选择行为的研究,有助于优化机场陆侧交通的组织与规划,提升公共交通的吸引力.本文以首都国际机场为研究对象,并对机场旅客进行了问卷调查.问卷调查内容包括旅客的个人社会属性信息,出行信息和交通方式选择信息.根据问卷调查结果,本文分析了影响旅客陆侧交通方式选择的因素,并建立了基于NL模型的机场旅客陆侧交通方式选择模型.从模型检验的结果来看,NL模型可以有效的描述场旅客陆侧交通方式选择行为.
In recent years,withthe increasing China's civil aviation travel demand,thereare9super large airports inwhere the annual passenger throughput of more than 40 million people inChina mainland.The volume and size of the airport terminals become larger and larger,andthe airport landside traffic becomes more complex and diverse.Basing on the research about the traffic mode choice behavior of passengers when they go or leave the airport terminal,it is helpful to optimize the planning and connection of the airp ort land side traffic,and enhance the public traffic attraction.This paper selected Beijing Capital International Airport as the research objects,and made a questionnaire survey to the passengers of the airport.The questionnaire content including the passenger personal social attribute information,features of their trip and the traffic mode choice of passengers.Basing on the questionnaire survey,this paper analyzed the influencing factors on the traffic mode choice of passengers,and then established a nested logit model for passengers'traffic mode choice behavior of large airport,the results show that this model can describe passengers'traffic mode choice behavior effectively.
出处
《科学技术创新》
2019年第17期1-5,共5页
Scientific and Technological Innovation
关键词
大型机场
旅客交通方式选择行为
NL模型
Large airports
Passengers'traffic mode choice behavior
Nested logit model
