引用本文: | 黎冬平,晏克非,程林结,许明明.机场出租车上客区的服务水平模型[J].哈尔滨工业大学学报,2011,43(4):126.DOI:10.11918/j.issn.0367-6234.2011.04.025 |
| LI Dong-ping,YAN Ke-fei,CHENG Lin-jie,XU Ming-ming.Model of service level of taxi boarding areas at airports[J].Journal of Harbin Institute of Technology,2011,43(4):126.DOI:10.11918/j.issn.0367-6234.2011.04.025 |
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摘要: |
为了定量分析机场出租车上客区的服务水平,通过乘客问询调查,基于乘客对各单个设施因素和总体服务水平的评价,确定关键因素;基于乘客认知,评价不同排队时间下的服务水平,采用回归模型建立出租车上客区总体服务水平的评价模型以及服务水平与排队时间之间的数学模型,以进行服务水平等级划分.通过对上海虹桥机场调查数据的分析,表明排队时间、指引标识、排队距离、组织管理为影响出租车上客区服务水平的4个显著因素,并基于排队时间将其服务水平划分为5个等级,同时进行了验证.研究成果能够让管理者明确应重点关注的设施因素,并为出租车上客区设施的规划和设计提供定量衡量标准. |
关键词: 交通工程 服务水平 出租车上客区 乘客认知 回归模型 |
DOI:10.11918/j.issn.0367-6234.2011.04.025 |
分类号:U492.4 |
基金项目:国家高技术研究发展计划项目(2008AA11Z201) |
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Model of service level of taxi boarding areas at airports |
LI Dong-ping1,2, YAN Ke-fei1, CHENG Lin-jie1, XU Ming-ming1
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1.School of Transportation Engineering,Tongji University,201804 Shanghai,China;2.Shanghai Urban Construction Design Research Institution,200125 Shanghai,China
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Abstract: |
To quantitatively analyze the level of service(LOS) of taxi boarding areas at airports,passengers’ questionnaires were implemented to evaluate LOS of individual components and overall LOS,which could assess the key influence factors.Each LOS of giving queue time was evaluated based on user perceptions.Regression models were adopt to formulate the evaluation model of overall LOS and the mathematical model between LOS and the queue waiting time,which were used to determine the LOS categories of taxi boarding areas.By analyzing the questionnaires data of Shanghai Hongqiao Airport,it is shown that the four factors: queue waiting time,guiding signs,queue walking distance and organization management,are the obvious influences for LOS of taxi boarding areas,and LOS could be partitioned five categories.The research results could make the administrators know the primary components which should be paid more attentions,and provide the quantitative measurement standards for the planning and design of taxi boarding areas at airports. |
Key words: traffic engineering level of service taxi boarding areas user perceptions regression model |