Abstract:

To obtain evaluation results with a higher level of discrimination, this paper proposes a benefit evaluation method that combines two-stage neutral cross-efficiency evaluation and the Shannon entropy aggregation model. First, the network data envelopment analysis model is used to calculate the self-evaluation score. Then, the peer-evaluation efficiency score is calculated based on the self-evaluation score. Afterwards, the self-evaluation and peer-evaluation scores are aggregated to obtain the cross-efficiency score based on the Shannon entropy aggregation model. Finally, a public transport service benefit evaluation index system is constructed from the perspective of three stakeholders (i.e., the operators, the public, and government), and the cases of the Yangtze River Delta from 2011 to 2016 are studied. The results reveal that most of the tested enterprises are inefficient, but the comprehensive benefits are growing slowly. The evaluation result of the service process is significantly higher than that of the production process. Small-scale enterprises have the highest comprehensive benefits, followed by medium-scale enterprises, and large-scale enterprises have the lowest comprehensive benefits. The large amount of government subsidies and the excessive resource investment of public transport enterprise will have a negative impact on benefits.

Key words:

urban public transport, network data envelopment analysis, two stage neutral cross-efficiency, Shannon entropy, stakeholder

摘要：

为了获得高区分度、更准确的公交服务效益评价结果，提出了一种基于两阶段中立型交叉效率和Shannon熵集结模型的组合评价方法。基于网络数据包络分析模型得到两阶段中立型交叉效率模型中的自评结果,在此基础上测算出互评结果，利用Shannon熵集结模型将自评与互评结果集结得出最终交叉效率值。从公交企业、公众和政府三方利益相关者的角度构建了公交服务效益评价指标体系，对2011~2016年间“长三角”地区案例进行研究。结果表明：大多数公交企业的运营状况均不佳，但综合效益总体上在缓慢提升；服务过程评价结果显著优于生产过程评价结果；小型规模公交企业综合效益最高，其次是中型规模企业，而大型规模企业最低；政府大量的补贴和公交企业过量的资源投入会对效益产生负面影响。

关键词:

城市公共交通, 网络数据包络分析, 两阶段中立型交叉效率, Shannon熵, 利益相关者