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Performance Evaluation on the Intelligent Operation and Maintenance Mode of Public-Private Partnership Urban Infrastructure Projects
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Author(s): Juan Du (SILC Business School, Shanghai University, China), Yan Xue (SILC Business School, Shanghai University, China), En Jin (Shanghai Urban Operation (Group) Co. Ltd., China), Xiao Hu (Shanghai Urban Operation (Group) Co. Ltd., China), Yinong Yuan (SILC Business School, Shanghai University, China)and Fan Zhang (SILC Business School, Shanghai University, China)
Copyright: 2021
Pages: 25
Source title:
AI-Based Services for Smart Cities and Urban Infrastructure
Source Author(s)/Editor(s): Kangjuan Lyu (SILC Business School, Shanghai University, China), Min Hu (SILC Business School, Shanghai University, China), Juan Du (SILC Business School, Shanghai University, China)and Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/978-1-7998-5024-3.ch009
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Abstract
With the participation of social capital, the operation and maintenance performance of Public-Private Partnership (PPP) urban infrastructure is becoming the key value-added point. This chapter summarizes and analyzes the problems of traditional urban infrastructure operation and maintenance (UIOM), and innovatively proposes the UIOM mode under the PPP background. Combined with the characteristics of the new generation of information technology, this chapter puts forward an efficient and intelligent UIOM mode with the features of intelligent decision-making, fine maintenance, technical optimization, capital saving, resource integration, and sustainability. This chapter takes the Highway Tunnel as the example, propose the Evaluation Index System for Intelligent UIOM Mode and implement the evaluation process using the AHP. The proposed intelligent UIOM Mode provides a scientific solution to the improvement of the subsequent evaluation system and the optimization of operation and maintenance decisions in PPP urban infrastructure projects.
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