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Risk Identification and Analysis for PPP Projects of Electric Vehicle Charging Infrastructure Based on 2-Tuple and the DEMATEL Model

1
School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
2
Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
3
Luneng New Energy (Group) Co., Ltd., Beijing 100000, China
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2019, 10(1), 4; https://doi.org/10.3390/wevj10010004
Received: 24 December 2018 / Revised: 11 January 2019 / Accepted: 11 January 2019 / Published: 16 January 2019
(This article belongs to the Special Issue Charging Infrastructure for Electric Vehicles)
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Abstract

Risk management is critical to the success of electric vehicle charging infrastructure public–private partnership (EVCI-PPP) projects, as risks are present throughout the whole life cycle of projects. However, in EVCI-PPP projects, risk factors are often interdependent and, consequently, the interrelationships among factors affect the risk management, which is ignored in the existing studies. To identify the risk factors of EVCI-PPP projects and analyze their internal influence relations, this paper develops a risk identification and analysis model of EVCI-PPP projects based on the 2-tuple linguistic representation model and the decision-making trial and evaluation laboratory (DEMATEL) model. First, a risk factor set is established including 22 criteria involved in 5 dimensions of political/legal risk, economic/market risk, social/environment risk, project/technical risk, and managing risk. Next, the 2-tuple model is introduced to integrate the decision makers’ evaluation information in a linguistic environment, and the direct relation matrix is calculated. Then, the cause–effect relations and a significant degree of risk factors are interpreted using the extended DEMATEL technique. The results show that economic/market risk is the most significant factor of EVCI-PPP projects, and 22 criteria are classified into 14 cause factors and 8 effect factors. Finally, suggestions are provided for decision-makers to ensure the success of EVCI-PPP projects. View Full-Text
Keywords: electric vehicle charging infrastructure PPP project; risk identification and analysis; 2-tuple; decision making trial and evaluation (DEMATEL) model electric vehicle charging infrastructure PPP project; risk identification and analysis; 2-tuple; decision making trial and evaluation (DEMATEL) model
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Zhang, L.; Zhao, Z.; Chai, J.; Kan, Z. Risk Identification and Analysis for PPP Projects of Electric Vehicle Charging Infrastructure Based on 2-Tuple and the DEMATEL Model. World Electr. Veh. J. 2019, 10, 4.

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