Satisfaction Evaluation of Public Transit Service Based on
Entropy Weight Method and Cloud Model

doi:10.3969/j.issn.1674-0696.2018.09.16

Journal of Chongqing Jiaotong University(Natural Science) ›› 2018, Vol. 37 ›› Issue (09): 101-106.DOI: 10.3969/j.issn.1674-0696.2018.09.16

• Traffic & Transportation Engineering • Previous Articles Next Articles

Satisfaction Evaluation of Public Transit Service Based on Entropy Weight Method and Cloud Model

GUO Xiaofan1, LI Linbo2, WANG Yanli2, ZHAO Shanshan3

(1. Railway & Urban Mass Transit Research Institute, Tongji University, Shanghai 201804, P. R. China; 2. Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, P. R. China; 3. Connecticut Transportation Institute, University of Connecticut, Storrs CT 06269, USA)

Received:2017-02-28 Revised:2017-10-09 Online:2018-09-10 Published:2018-09-10

基于熵权法-云模型的公交服务满意度评价

郭晓凡1，李林波2，王艳丽2，赵珊珊3

(1. 同济大学铁道与城市轨道交通研究院，上海 201804；2. 同济大学道路与交通工程教育部重点实验室，上海 201804； 3. 康涅狄格大学交通安全研究中心，斯托斯 CT 06269，美国)

作者简介:郭晓凡(1992—)，男，河南安阳人，硕士研究生，主要研究方向为交通运输管理。E-mail: xfguo49@163.com。通信作者：李林波(1974—)，男，湖南岳阳人，副教授，博士，主要研究方向为交通运输规划与管理。E-mail: llinbo@tongji.edu.cn。
基金资助:
国家自然科学基金青年项目(70901057)

Abstract

Abstract: In order to evaluate the satisfaction degree of public transit service, an evaluation methodology combining entropy weight method with cloud model was proposed. Based on the variability of data, evaluation index was weighted objectively by using entropy weight method. The index data was converted to the corresponding cloud parameters by backward cloud generator on the basis of cloud model theory, and the evaluation cloud was built by index approximate method. Evaluation results were showed as normal cloud diagram. The public transit service satisfaction degree in Jiading District of Shanghai was evaluated comprehensively by using above method. The evaluation result indicates that the satisfaction degree of public transit service in Jiading District is moderate and presenting a trend of turning better. Therefore, the evaluation result can intuitively and accurately reflect passengers satisfaction degree of public transport services.

Key words: traffic engineering, urban transport, satisfaction evaluation, cloud model, public transit service, entropy weight

摘要： 为实现对公交服务满意度的评价，提出了一种将熵权法和云模型相结合的评价方法。利用数据的变异性，通过熵权法为评价指标进行客观赋权；基于云模型理论，将指标数据通过逆向云发生器转化为对应的云参数，以指标近似法来构建评价云；将评价结果以正态云图的形式体现。应用该方法，对上海市嘉定区公交汽车服务满意度进行了综合评价。评价结果表明：嘉定区公交服务满意度总体处于一般、偏满意的情况，直观准确的反应了乘客对公交服务的满意程度。

关键词: 交通工程, 城市交通, 满意度评价, 云模型, 公交服务, 熵权法

CLC Number:

U 121

GUO Xiaofan1, LI Linbo2, WANG Yanli2, ZHAO Shanshan3. Satisfaction Evaluation of Public Transit Service Based on Entropy Weight Method and Cloud Model[J]. Journal of Chongqing Jiaotong University(Natural Science), 2018, 37(09): 101-106.

郭晓凡1，李林波2，王艳丽2，赵珊珊3. 基于熵权法-云模型的公交服务满意度评价[J]. 重庆交通大学学报（自然科学版）, 2018, 37(09): 101-106.

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Satisfaction Evaluation of Public Transit Service Based on Entropy Weight Method and Cloud Model

基于熵权法-云模型的公交服务满意度评价

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