In order to improve the service level of emergency refuge in the process of disaster management，from the perspective of flood disaster，four indexes were selected: risk of disaster causing factor，sensitivity of disaster-bearing environment，vulnerability of carrier and ability of disaster prevention and reduction. The spatial distribution of flood risk was identified through the AHP-entropy weight method model. Its risk value was introduced as a weight to minimize uncovered risk. Combined with minimizing the weighted evacuation distance and minimizing the accessibility difference，a multi-target shelter location selection model was constructed from the perspective of fairness，efficiency and balance. The improved NSGA-II algorithm was used to solve the model，and the existing shelter layout in Xianyou County，Putian City was used as an example for model verification. The results show that compared with the existing shelter layout，the total evacuation distance，uncovered risk value and accessibility difference coefficient in the optimized layout scheme are reduced by 35.90%，61.47% and 33.62% respectively.

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.

To explore the multi-departmental emergency response cooperation relationship of geological disasters in China，geological disaster emergency management plans at the provincial，municipal，and county levels were obtained from a geological disaster-prone province. Focusing on functional departments involved in geological disaster emergency response，a provincial-municipal-county level geological disaster emergency cooperation network model was proposed based on the social network analysis method. The theme block matrix was calculated by the centrality and iterative correlation convergence method (CONCOR) iterating correlation matrix to divide the structural hierarchy of sub-groups among functional departments. The density matrix was used to investigate the relationship patterns among subgroups and analyze the centrality，cohesiveness，and interaction of emergency departments at all levels in the geological disaster emergency cooperation network. The results showed that emergency departments had different interdependencies and small groups in geological disaster emergency cooperation，and the cooperation pattern had issues such as uneven coordination and blocked information resources. Generally，the relationship between provincial and municipal emergency cooperation was relatively close，but the overall structure and relationship pattern of the county-level emergency cooperation network were relatively isolated with a low level of connection between some organizational structures. Therefore，it is necessary to further strengthen the coordination ability among various functional departments and improve the organizational structure construction of county-level government in emergency management.

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.

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.

To assess the labor intensity of construction personnel in ultra-high-altitude tunnels，this study employed theoretical analysis to define evaluation indicators and used wearable devices to monitor physiological changes during various construction phases in a specific ultra-high-altitude tunnel. Subsequently，labor intensity and efficiency of different tasks were calculated. Results reveal that the physiological indicators of different tasks are significantly different. Specifically，cardiovascular loads of the workers installing secondary lining steel bars exceed the hygienic limits，and peripheral oxygen saturation (SpO₂) levels of the mechanical operators is lower than the standard values. Labor intensity is classified as Grade V for installing secondary lining steel bars，Grade III for bottom plate construction and arch steel bar binding，and Grade II for installing secondary lining waterproof cloth and for mechanical operations. At an altitude of 4 700 meters，the labor efficiency ranges only from 76% to 88% compared to the plain areas. To match the workload in the plain areas，the labor input must be increased by approximately 13.63% to 31.58% depending on the process.

In order to effectively provide early warning of the occurrence trend or state of prefabricated building workers' unsafe behaviors (PBWUBs) of working at height，and to enhance the control of PBWUBs，RF-SFLA-SVM model was proposed to conduct an early warning study on workers' unsafe behaviors. Firstly，the SHEL (Software-Hardware-Environment-Liveware) model was used to analyze the factors influencing the unsafe behaviors of prefabricated building workers in danger of working at height. RF was used to determine the key warning indicators. Then SFLA was used to find the best parameters for SVM. Finally，the RF-SFLA-SVM model was used to predict and warn about the unsafe behavioral state of the prefabricated building workers working at height，and its performance was compared with other warning models. The results show that the RF-SFLA-SVM-based warning accuracy of PBWUBs of working at height was the highest，91.67%，which was a maximum improvement of 14% compared with the warning performance of other models. The research results can give a reference for the control and prevention of PBWUBs working at height.

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.

To draw lessons from historical chemical accidents and guide the practice of chemical safety production management，a method for identifying critical factors in chemical accidents based on text mining and improved DEMATEL method was proposed. Firstly，text mining technology was used to fully mine the text information of 1 627 chemical accident investigation reports，based on which 14 chemical accident influencing factors were extracted according to related literature，laws and regulations. Then，the fuzzy DEMATEL method based on alpha-level sets was used to calculate the performance levels of the factors affecting chemical accidents. Finally，the correlations between critical factors and other factors were analyzed and the mechanism of chemical accidents was revealed. The results show that 8 chemical accident influencing factors are identified as the critical factors，i.e.，extreme weather，regulations，technical procedures，hidden danger investigation，risk control，education and training，supervision and management，and operation management. These 8 critical factors have direct impact on the influence factors such as facilities and equipment，material reactions，occupational quality，job responsibilities，emergency management，and safety investment，which eventually lead to chemical accidents.