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.

In order to effectively evaluate the transportation service performance of HSRN and ensure the reliability of HSRN in the face of emergencies，based on complex network theory，a robustness evaluation method considering temporal and spatial dynamic characteristics was proposed. The dynamic changes of HSRSN was considered，and time information was incorporated into the modeling of HSRSN. Based on empirical operation data of high-speed railways in China，the necessity of considering spatiotemporal dynamic characteristics to evaluate network performance was verified，and the distribution characteristics of HSRN robustness in China were explored from the spatiotemporal dimension. The experimental results show that the train flow passing through different stations is different，and the network robustness exhibits a significant spatial distribution difference. Moreover，the disturbance scenarios are different，and the contribution of train frequency and spatial position of stations to the importance of stations is also different. In addition，the occurrence time and duration of disturbances are two key time factors that affect network robustness. Their different combinations result in significant time distribution differences in network robustness. The impact of disturbances on network performance varies at different time periods，resulting in obvious fluctuations in station importance ranking at different time periods.

To address the limitations of evaluating the emergency response capability of port ships for oil spills in a single stage and reasonably allocate resources，the cloud gravity center evaluation method was adopted to evaluate the comprehensive emergency response capability of port ships for oil spill. Facing the entire process of emergency preparedness，early warning，response and recovery，and referring to the theory of "man-machine-environment-management" system and international and domestic regulations，a comprehensive emergency response capability evaluation index system was established. To address the issue that the traditional evaluation indicators were not fuzzy and random，a weighted deviation degree was used to determine the transformation relationship between qualitative indicators and quantitative values. AHP was used to optimize evaluation opinions and compensate for accuracy deficiencies caused by insufficient evaluation samples. Finally，taking Shanghai Port as an example，an empirical study was conducted on the comprehensive emergency response capability evaluation of ship oil spills. The results show that the cloud gravity center evaluation method can reasonably evaluate the comprehensive emergency response capability of port ships for oil spills. This method provides a theoretical basis for improving and perfecting emergency response capability，and provides a new approach for the comprehensive emergency response capability evaluation of port ships for oil spills.

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.

In order to solve the problem of secondary disaster risk in coal mines affected by earthquake disasters，firstly，typical cases have been investigated and analyzed，and the types and damage characteristics of secondary disasters in coal mines have been summarized. Based on the comprehensive elements of "man-machine-environment-management"，a three-level indicator system for earthquake-induced secondary disaster risk assessment in coal mines has been constructed. Then，the evaluation method of risk level and importance of hidden danger has been proposed. Finally，a coal mine in a city in Hebei Province was used as an example for practical application. The results show that the types of secondary disasters induced by earthquakes in coal mines can be divided into 6 categories according to the disaster-bearing body. The assessment of the possibility of earthquake-induced coal mine secondary disasters mainly considers six aspects: the earthquake disaster level in the area where the coal mine is located，the risk of coal mine secondary disasters，the hazard of coal seam gas occurrence，the hazard of hydrogeological conditions in the mine，the level of fortification of the disaster-bearing body，and the ability to prevent and mitigate disasters. The assessment of the severity of the consequences mainly considers two aspects: the number of casualties and economic losses that may be caused by disasters. The weak links in seismic fortification of coal mines in this city are ventilation system，shaft support system，and drainage system，which should be targeted to improve seismic fortification level.

In order to improve pilots' emergency response capability in emergency situations and reduce civil aviation safety accidents，the pilot task process was analyzed based on the decision-making model and stress theory model. The index system of pilot emergency response capability was established from the aspects of pilot operation safety capability and pilot reserve safety capability. FAHP was used to establish the index system including safety operation capability B₁ and reserve safety capability B₂，and the membership degree of the second-level indexes was determined by combing the expert opinions. Then，the core indicators of pilot emergency response capability were obtained. The comprehensive evaluation of pilot emergency response capability by experts in the field of civil aviation safety was integrated through the ER algorithm. 2 crew pilots of an airline were selected for empirical analysis. The results of the study show that the proposed model can reduce the impact of uncertainty on evaluation results，thus significantly improving the reliability of the evaluation results.

In order to study the influence of section size change on noise propagation in long space of coal mine roadway，the simulation method was used to study the noise propagation in the roadway，and to analyze the influence of the changes of section area size，section shape and section area mutation rate on the noise propagation in the roadway of coal mine roadway. The results showed that: the section area size，section shape and section area mutation rate in coal mine tunneling would affect the propagation of noise in the tunnel，when the noise source power and frequency were the same，the attenuation of the sound pressure level increased with the increase of the section area of the roadway. For a given section area (18 m²)，when the section shape was different，the attenuation of the sound pressure level was also different，and there would be an obvious acoustic focusing effect when the section shape was arch-shaped. When the cross-section area changed abruptly，the distribution of sound pressure level in the roadway would change，in which the change of cross-section area from large to small was not conducive to noise attenuation，and the change of cross-section area from small to large only affected the sound field after the abrupt change，and the overall sound pressure level in the roadway is not significant. The field test and numerical simulation results of noise attenuation in the tunnel were basically consistent，which verified the reliability of the model and simulation results.

Equipment and facility failures were the primary cause of safety accidents in public transportation systems. In order to better quantify and enhance the safety resilience of systems，CN-FRAM operational safety resilience measurement model，integrating CN and FRAM，were proposed. System resilience was defined as the ratio of system performance loss to performance baseline under perturbations. Firstly，based on the composition and functional nodes of the equipment and facility system，a CN was established. Secondly，the FRAM model was embedded into the CN to expand nodes and connections，constructing the CN-FRAM model. Then，based on the CN-FRAM resilience measurement model，the aggregation of functional changes between system components was analyzed，and when quantifying system resilience，the overall efficiency of the network and the degree of coupling between components were considered comprehensively. Finally，using the metro signal system in Nanjing as an example，the feasibility and effectiveness of the method were validated. The results show that the model can quantify the resilience of the system throughout the disruption-recovery process，calculate the impact of failures on the system，and maximize resilience values as the objective，demonstrating resilience performance under different repair strategies，thereby providing a basis for determining the optimal recovery sequence. Compared with existing methods，the optimal recovery strategies identified by this method can significantly reduce the overall performance loss caused by failures，thus enhancing system resilience.

In order to avoid the spontaneous combustion of residual coal from the regenerated roof during coal mining，the characteristics of interior fluid field were clarified，and the dynamic law of coal spontaneous combustion hazardous zone was explored. Taking the spontaneous combustion features of residual coal from the regenerated roof of a mine in Shandong province as an example，the numerical simulation method was used to simulate and compare the air leakage characteristics of goaf and regenerated roof under different air volume. Subsequently，based on the structural characteristics of the regenerated roof，the scope of coal spontaneous combustion hazardous zone was determined by adopting a new method of projection superposition judgment with oxygen concentration and air leakage speed as comprehensive indexes. The results of the study show that the oxygen mass fraction of goaf decreases gradually when the depth is smaller than 60 m，while it's no longer affected by the air volume when the depth exceeds 60 m. The oxidation zone is asymmetrically distributed，forming a "triangle" hollow area at the end of the return airway. The air leakage and backflow occurs in the range of 20-40 m in dip direction of goaf，whereas the air leakage velocity of regenerated roof presents a U-shaped symmetrical distribution. The change features of coal spontaneous combustion hazardous zone in the goaf resemble those of the oxidation zone. In contrast，the coal spontaneous combustion hazardous zone in the regenerated roof is mainly distributed near the middle of the intake airway and the inner part of the front middle of the return airway，and the area of coal spontaneous combustion hazardous zone gradually expands and extends towards the tail with the increase in air volume.

In order to reveal the complex causality between EWSV and their multiple antecedent conditions，and to improve the efficiency of safety governance，a comprehensive model integrating contemporary deterrence theory，protection motivation theory，and social learning theory was constructed from a perspective of complexity theory. Based on this，six antecedent conditions affecting EWSV were identified from three perspectives: leader，coworker，and employee. Then，the fsQCA was used to reveal what configuration of antecedent conditions would lead to high level of EWSV. The results show that a single antecedent condition is insufficient to explain high level of EWSV but safety-specific leader punishment omission and coworker work safety violations(CWSV) play universal roles in forming high level of EWSV. Three types of driving modes composed of five condition configurations can lead to high level of EWSV. Three types of condition configurations lead to non-high level of EWSV. Reducing CWSV and improving employees' perception for formal sanctions are crucial for achieving non-high level of EWSV. Different combinations of multiple antecedent conditions can lead to high level of EWSV，and there is a complex causality (concurrency，equivalence，and asymmetry) between high level of EWSV and their antecedent conditions.