This paper proposed an evaluation method for emergency logistics facility site selection schemes in uncertain environments based on IT2F-BWM-MABAC. Firstly，in response to the fuzzy uncertainty problem of evaluation information in the evaluation process of emergency logistics facility site selection schemes，an IT2F set was used for processing，and the site selection schemes were ranked in MABAC. In order to address the issue of obtaining attribute weights from external sources in traditional MABAC，BWM based on IT2F was adopted to determine the weights of attributes. Finally，the method proposed in this article was applied to the evaluation of emergency logistics facility location schemes in a certain city，and the feasibility and effectiveness of the proposed location method were verified. The results show that the proposed method can solve the problem of emergency logistics facility location selection in uncertain environments while ensuring the quality of scheme evaluation.

In order to reduce the incidence of firefighter training injury，a firefighter training injury risk assessment index system containing 19 indexes was proposed from three aspects: individual factors，environmental factors and organizational management factors. The BON-OWA operator was used to correct the error of analytic hierarchy process(AHP) to obtain the subjective weight，and the criteria importance through intercriteria correlation(CRITIC) method was used to determine the objective weight. The game theory combinatorial weighting method was used to integrate the subjective weight and the objective weight to determine the combined weight. The risk assessment model of firefighter training injury was established based on the cloud model theory. The scientificity of the model was verified by the firefighter training in a fire rescue brigade in Henan province. The results show that the combat equipment performance condition index has the greatest impact on the risk level of firefighter training injury; The risk assessment model can determine the risk level of firefighter training injury by data processing. In the case，risk levels of firefighter training injury under five different scenarios are all general risk，which is consistent with the risk level obtained by the fuzzy comprehensive evaluation method.

In order to investigate the influence of flat curve，longitudinal curve，and flat-long combination of line shapes on the severity of traffic accidents on mountain highways，firstly，the line shape data of a 263 km section of a mountain highway and the 1 870 accidents occurring on the section in five years were statistically analyzed and classified. Then，according to the structural form of the research data，the stochastic parametric logit model was established，and then the model was utilized to study the effect of the combination of line shapes on the severity of accidents. The results show that: the factors of ratio of curve (ROC)，weighted curvature (CW)，and delta slope (ΔS₂) are associated with an increase in property damage-only accidents，whereas the combination of slope lengths (CSL) is associated with a decrease in property damage-only accidents; the weighted curvature (CW=0.6-0.7) and continuous uphill slope are associated with an increase in accidents with minor injuries，and the factors of weighted curvature (CW=0.3-0.4)，delta slope (ΔS₁)，and ratio of curve (ROC) were associated with a decrease in accidents with minor injuries; the variation rate of curvature (VRC)，contiguous radius of front and behind (CRF，CRB)，and combination of slope and radius (CSR) were associated with an increase in accidents with serious injuries or fatalities，and the ratio of curve (ROC) was associated with a decrease in accidents with serious injuries or fatalities; and the combination of linear shapes had a significant effect on the severity of accidents.

In order to strengthen the understanding of the contribution of the risk zoo to risk culture construction and explore its practical and applied value，the mechanism and path of cultural identity of the risk zoo were explored based on cultural identity theory. As an important carrier of risk culture construction，the cultural identity path of risk zoo also follows the framework of risk culture identity system. The cultural identity system of the risk zoo was presented from two aspects: individual and group. The results show that individual identity develops progressively along the path of value identity→emotional identity→behavioral identity，and group identity develops progressively along the path of risk concept→risk communication→risk participation. Cultural identity is the basis for the practical application of the risk zoo，and the practical application framework of the risk zoo should be carried out in accordance with the cultural identity system. It can actively guide individuals to build a healthy risk awareness and lead groups to create a good risk culture through the creation of a science popularization platform that combines online and offline，and places equal emphasis on professionalism and communication.

In order to assist tunnel fire risk management and decision-making，the definition and principles of social risk acceptance criteria for road tunnel fire were established. Based on a statistical analysis of tunnel fire fatalities in China from 2000 to 2020 and a survey of public perceptions of tunnel fire risk，social risk acceptance criteria of tunnel fires in China was developed by the F/N curve method，and the acceptance critical limits for accident frequency and consequences were defined. The results show that the public has a tolerable attitude towards the current situation of tunnel fire accident risk. The maximum acceptable frequency of tunnel fire fatalities in China is set at 10^-5/(km·a)，and the maximum tolerable frequency is set at 10^-4/(km·a).

To systematically review the research progress and current status of fault analysis in civil aircraft flight control systems，both domestically and internationally，this review study was carried out. The study focused on identifying typical fault types of flight control systems through analysing QAR data. Firstly，the process of QAR data preprocessing and feature extraction was summarized. Secondly，based on the performance metrics achievable by fault analysis，four stages of fault research were proposed，including fault monitoring，fault identification，fault diagnosis，and fault prediction. Finally，by combining the progress and depth of domestic and international research，typical fault types of flight control systems were identified，including rudder hydraulic leakage，inconsistent elevator indications，and flap actuation delays. Commonly used QAR data items for modeling include aircraft primary control surface positions，flight attitudes，aircraft performance，left and right flap angles，and flap positions. Calculation methods encompass physical models，multivariate statistics，logical reasoning，and machine learning. The results show that through a systematic analysis of the latest research progress in subsystems such as rudder，elevator，and flaps，it is found that certain achievements have been made in fault types，parameter selection，and the improvement of calculation methods. However，the fault research stage is primarily focused on fault diagnosis or non-real-time prediction. Further emphasis is required on addressing safety assurance and practical maintenance needs to achieve real-time fault prediction technology.

To quantitatively evaluate the influence of snowfall on the resilience of airport infrastructure system，the airport infrastructure system was divided into four first-level indicators，including physical system，functional system，economic system and organizational system. The damage intensity coefficient of snowfall weather to the second-level indicators was put forward，and a quantitative analysis model of airport infrastructure system resilience was established. The variation of resilience level of airport infrastructure system was simulated by the Monte Carlo Method under four different levels of snowfall. The simulation result show that the functional damage degree and recovery time of the airport infrastructure system are positively correlated with snowfall intensity. The system recovery time is 13，14，16 and 23 respectively under the conditions of light snow，moderate snow，heavy snow and blizzard. The resilience of the airport infrastructure system under the condition of blizzard is 9.65%，17.01% and 20.27% lower than that under the conditions of heavy，medium and light snow，respectively. The recovery speed of the airport infrastructure system increases from 0.053%/h to 0.061%/h，and the recovery time reduces from 12 h to 9 h when the failure strength coefficient reduces by 20%.

To face the challenges of evacuation and rescue of fires in large hydraulic tunnel group and the unclear control mechanism of smoke barrier，numerical simulation was employed to analyze smoke spreading law and fire control mechanism of smoke barrier. The smoke spreading path and the visibility distribution were analyzed. The impact of installing smoke barrier walls on smoke spreading speed，visibility and temperature was studied，and the effectiveness of smoke control measures was evaluated. The results show that the smoke initially spreads along a single two-way direction，and is affected by ventilation airflow when reaching branch tunnel with smoke reversal，retrogression and increased intrusion range. Smoke fills the whole ventilation network within 500 s，the stratification interface between the smoke layer and the lower air layer is unstable，and the height of the smoke layer at the intersection decreases more significantly. The smoke barrier can promote smoke propagation along the diversion tunnel，and the effect decreases with the increase of propagation distance. It has cumulative blocking characteristics along the tunnel direction of the construction branch. The influence of the smoke barrier leads to the temperature decreasing as the diffusion length increases. A smoke storage pool is formed in front of the smoke barrier to enhance the degree of backflow of smoke. Behind it is the smoke deceleration and pressurization area，and the smoke layer rises.

In order to investigate the pedestrian evacuation selection strategy in a multi-exit room with unknown exit opening status and to assess the effect of information transfer on movement status and evacuation efficiency during evacuation，an exit-finding SFM based on the information transfer mechanism was proposed. Firstly，A competition mechanism has been introduced into the social force model to improve the simulation's accuracy in reflecting real-life evacuation scenarios. The study then examined the evacuation process guided by rational and irrational strategies to investigate the impact of the herd effect triggered by information change on the overall evacuation. Finally，this paper introduces the information transfer mechanism to investigate the optimization effect of information exchange and cooperation on the escape path. The results indicate that the rational strategy is more robust for individual pedestrians in an emergency escape situation. However，from the perspective of group behavior，an optimal distribution of group strategies exists. Specifically，when approximately 25% of pedestrians choose the rational strategy，and the remaining 75% choose the irrational strategy，the evacuation effect of the whole group can reach its optimal effect. The introduction of the information transfer mechanism enables escaping pedestrians to effectively obtain critical escape information from the surrounding crowd，thus significantly improving evacuation efficiency. The facilitating effect of this mechanism is particularly evident in scenarios with fewer available exits.

To explore the correlation between different characteristic factors of hydrogen accidents，827 safety accidents involving hydrogen systems were used as the data set to statistically analyze the characteristic factors such as accident date，application stage，ignition source，accident causes and consequences. First，a network of association rules for accident causation was constructed to discuss accident causation relevance. Then，the causes and consequences of the accident were analyzed interactively. Finally，Apriori algorithm-based association rule mining was performed on six types of characteristic factors of hydrogen accidents. The results show that six accident causation combinations，such as equipment failure and design error，operational error and accidental reaction，are the most highly correlated among hydrogen safety accidents. Unignited hydrogen release is strongly associated with eight factors，like pressure relief devices and ventilation systems. Hydrogen fires are strongly associated with nine factors，like bolts and spontaneous combustion. And hydrogen explosions are strongly associated with five factors，like hydrogen production，electrical sparks，and compressors.