基于公众参与的城市轨道交通项目绩效评价指标体系构建
王亦虹连枭楠
Performance Evaluation Indicator System Establishment for Urban Rail Transit Projects Based on Public Participation
WANG YihongLIAN Xiaonan
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作者信息:天津理工大学管理学院， 300384， 天津
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Affiliation:Tianjin University of Technology, 300384, Tianjin, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2023.08.020
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中图分类号/CLCN:F530.7
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栏目/Col:研究报告
摘要:
目的：为了提高项目多方利益主体满意度基于公众参与的城市轨道交通项目绩效评价指标体系构建，提升项目实施效率，促进城市轨道交通项目绩效评价科学性，推动公众参与城市轨道交通项目积极性，进而在基础设施项目治理领域深入贯彻 “共建共治共享”理念，需要以公众诉求为基础，构建城市轨道交通项目绩效评价指标体系。方法：运用文献勾选法从已有文献中勾选与公众相关的指标，实现指标初选；运用文本挖掘法，从表达公众利益诉求的网络留言中提炼出指标，对初选指标进行优化；运用访谈法，向全年龄段公众收集意见，补充指标，进而初步构建评价指标体系。以归纳得到的指标特性作为聚类标准，分别对建设期指标和运营期指标进行聚类计算与分析，根据聚类谱系图来优化评价指标体系。通过问卷调查公众对指标重要度的意见，并运用熵权法对数据进行处理，为指标权重赋值。并根据权重对主要指标的影响进行分析。结果及结论：基于公众参与，构建了城市轨道交通项目绩效评价体系，其中包含4个一级指标及19个二级指标。
Abstracts:
Objective: To fulfill the goal of enhancing the satisfaction degree of multiple stakeholders in a project, improving project implementation efficiency, promoting scientific evaluation of URT (urban rail transit) project performance, encouraging public participation in URT projects, and further implementing the concept of ′coconstruction, cogovernance, and sharing′ in the field of infrastructure project governance, it is necessary to establish a performance evaluation indicator system for URT projects based on public demands. Method: The literature screening method is employed to select indicators related to the public from existing literature, achieving the initial indicator selection. The text mining method is applied to extract indicators from online messages expressing public interest demands, optimizing the initially selected indicators. The interview method is used to collect opinions from the general public of all age groups, supplementing indicators and thus establish a preliminary evaluation indicator system. The characteristics of the obtained indicators are used as clustering criteria to perform clustering calculations and analysis separately for the construction phase indicators and operation phase indicators. The evaluation indicator system is optimized based on clustering dendrogram. Public opinions on the importance of indicators are collected through a questionnaire survey, and the entropy weight method is used to process the data and assign weights to the indicators. The influence of the main indicators is analyzed based on their weights. Result & Conclusion: A performance evaluation system for URT projects based on public participation is established, which includes four primary indicators and nineteen secondary indicators.
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