Performance monitoring and evaluation of water environment treatment PPP projects with multi-source heterogeneous information

Effective measurement and monitoring of the quality of services from the private sector, in the terms of performance in water environment treatment public-private partnership projects (WETPs-PPP), is one of the keys to the success of these projects. Based on the deficiencies of performance monitoring and evaluation theory and the specific characteristics of WETPs-PPP, this study developed a performance monitoring and evaluation model for WETPs-PPP. First, through a literature analysis, a performance monitoring and evaluation index system of WETPs-PPP was constructed from eight dimensions including river embankment, bridges, river water, environment, garden facilities, garden plants, special purpose vehicle, hydraulic structure, and public satisfaction. Second, by combining the adaptive weighted fusion algorithm and Intuitionistic Fuzzy (IF) average operators, multi-source, multi-dimensional, and multi-spatio-temporal data were aggregated. Third, to improve the robustness of the performance monitoring results, the MULTIMOORA evaluation method with a defuzzification procedure under the IF environment was developed to conduct performance monitoring and evaluation for WETPs-PPP. Finally, a water environment treatment and ecological restoration project was used as an example to illustrate the feasibility and effectiveness of the proposed theoretical model.