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The causes of high-speed railway failures are complex, and it is difficult to quantitatively and accurately describe safety evaluation. The purpose of this paper is to construct a model to ensure the safety of high-speed railway operations.

The authors construct a high-speed railway operation safety evaluation index system from four aspects: personnel, equipment, environment and management and analyze the inter-coupling relationship of various safety factors. Based on the evaluation index system, the use of network analytic hierarchy process (ANP) and fuzzy comprehensive evaluation will be used to establish a high-speed railway operation safety evaluation model.

Through the literature investigation and field investigation, combined with high-speed railway safety key points and system composition, 4 first-level indicators and 17 second-level indicators were selected to construct a high-speed railway operation safety evaluation index system. It can be seen from the results that the personnel management system and the signal and control system have the largest weight.

On the basis of establishing an evaluation index system, comprehensively considering the internal coupling relationship between evaluation indexes and the fuzziness of high-speed railway operation safety evaluation, high-speed railway uses ANP fuzzy network analysis method to construct high-speed railway operation, and the safety evaluation model has certain advantages and practicability in the case of the relative lack of high-speed railway operation data and fault data.

The spread of drug use has been consistently increasing in Asia, posing a serious public health problem, especially among new addicts. In Thailand, the problem has persisted for decades leading to a consistent decline in the age of drug use initiation, making drug use an important social problem, especially among youngsters. This study aimed to examine the factors related to substance abuse risk behaviors among lower secondary school students.

A cross-sectional survey was conducted using a self-administered questionnaire to collect the data from a sample of 624 students aged 12 through 18 years. Data analysis was performed using descriptive statistics and multiple linear regression to identify factors related to substance use risk behaviors.

Factors associated with drug use risk behavior were access to drugs (0.882; <0.001), which had the highest predictive power, family relationships (−0.555; <0.001), self-esteem (−0.516; <0.001) and awareness about drugs (−0.412; <0.005).

Prevention interventions that incorporate reducing access to drugs, strengthening family ties, boosting adolescents' self-esteem and increasing their awareness about drugs should be tailored to target homes, schools and communities. As the problem appears to be multidimensional, the full participation of all relevant stakeholders such as teachers, parents, religious and community leaders in the intervention programs is as essential as the interventions themselves.