## 1 Introduction  
As the global economy grows rapidly, the energy supply situation is becoming increasingly tense [1]. Liquefied Natural Gas (LNG) is starting to become the main source of energy in many countries and regions, replacing oil as the preferred fuel [2]. Currently, LNG energy is used in a large number of applications in industry, manufacturing, and other sectors. According to statistics, LNG trade increased more than two-fold between 2000 and 2020 (Figure 1), accounting for more than 20% of primary energy consumption [3,4]. Despite the SARS-CoV-2 virus being an irreversible obstacle to the world economy since 2020, with the advent of the post-epidemic era, governments have successively introduced economic recovery policies, and LNG consumption is once again on the rise (Figure 2) [4]. [PERSON] et al. estimated that the LNG trade would still further increase from 485 billion cubic meters in 2019 to 585 billion cubic meters in 2025 [5]. Under the international energy changes, China's energy structure is adjusting towards the general direction of \"coal down and gas up\". LNG is widely used and gradually becoming the main energy source in China [1,2]. According to the statistics in bp Statistical Review of World Energy (2022) published by BP, the global natural gas demand grew by 5.3% in 2021. China's natural gas demand increased by 12.8%, and its LNG imports rose by 16.8%. China has become the world's largest importer. LNG is low-temperature, flammable, and explosive. As LNG is always stored in large quantities, the leakage of LNG would be extremely hazardous to the surrounding personnel, equipment, buildings, and environment. Therefore, scholars at home and abroad are increasingly concerned about the safety of LNG storage, processing, and transportation processes. A large number of numerical analyses and simulations have been applied to the risk analysis of accidents and the consequences of their spread. Fault tree analysis was first applied by [PERSON] et al. [6] to quantitatively assess the risk and failure frequency associated with LNG storage tank; [PERSON] and [PERSON] [7] have used methods such as the Federal Energy Regulatory Commission's (FERC) model to assess the hazards and consequences of LNG releases leading to pool spreading and pool fires; Computational Fluid Dynamics(CFD) is used by [PERSON] [8] to simulate the filling of LNG tanks of different densities to improve tank safety; [PERSON] et al. [9] identified weaknesses in the LNG storage tank leakage failure system through the fault tree analysis, and corrected the dimorphism of the LNG storage tank fault tree with Bayesian networks to improve the accuracy of risk analysis; the bow-tie model and Bayesian model were combined by [PERSON] et al. [10] to predict the probability of continuous type leakage accidents in LNG storage tanks, and high-frequency high-risk accidents were simulated. In the past literature, the analytic hierarchy process (AHP) and entropy method have been mostly applied to assign weights to LNG tank leakage risk factors, and the Analytic Network Process (ANP) has rarely been applied to safety risk assessment. In contrast, ANP models are widely used in areas such as construction project management and resource allocation; the model was often used to assist with multi-criteria decision making for construction projects [11]. The ANP model has been applied successively to the transformation assessment of lean companies [12], the risk assessment of large transport infrastructures [9], and the evaluation  
Figure 1: LNG imports from 2000 to 2021. Figure 2: Global primary energy consumption from 2010 to 2021.  
of the mine rescue teams' rescue capability [13]. Combining ANP, FTOPSIS, and Fuzzy Max-Min Set Method, a comprehensive Multiple Attribute Decision Making (MADM) method for evaluating water transfer projects was proposed by [PERSON] and [PERSON] [14]. [PERSON] et al. [15] combined ANP and the normal cloud model in the evaluation of regional water environment carrying capacity.