摘要
为避免用单一值评价多因素多指标问题和评价方法中确定权重值较主观的问题,利用灰色聚类方法对机场车道边进行评价.首先选取四个关键性评价指标,并将车道边服务水平划分为四个等级,然后建立灰类白化函数、确定聚类权、对聚类向量进行分析,最终根据最大隶属度原则确定评价对象所归属的等级.文章选取3个不同时期不同机场航站楼车道边案例分别进行验证,结果表明2007年的西安咸阳机场T2航站楼和天津滨海机场T1航站楼出发层车道边较拥挤,而2015年的天津机场T2航站楼出发层车道边整体服务水平较好.结果符合事实,表明该模型是正确、可行的,文章最后分析了验证结果出现的原因并依此给出建议措施.
To avoid the problems of evaluating multi-factors indexes by a single value index and determine subjectively weighted values, grey clustering method was used to evaluate the service level of the airport curbside. Four evaluation indexes were chosen, and the cluster weight was calibrated after the service level being divided into four grades and the whitening function of grey group established. At last, the ownership level was determined through the analysis of the clustering vector. Three different terminal curbsides in different airports at different times were exemplified. The results show that the enplaning curbside of Xi＇ an airport terminal 2 and Tianjin airport terminal 1 are sort of crowded at 2007, and yet the overall service level of enplaning curbside of Tianjin airport terminal 2 is better. That fit the fact which shows that the model is correct and feasible. The reason why such results happen was analyzed, and suggestions and measures are given according to the evaluation results.
出处
《大连交通大学学报》
CAS
2017年第1期12-16,37,共6页
Journal of Dalian Jiaotong University
关键词
交通工程
机场航站楼
灰色聚类
评价
车道边
服务水平
transport engineering
airport terminal
grey clustering
evaluation
airport curbside
level of service
