To investigate influences of common distracted driving behaviors on driving performance in the urban environment，three secondary tasks were designed. Sixteen young subjects were recruited. The driving tests were conducted under real conditions. Vehicle longitudinal and lateral driving parameters were measured. The driving performances under normal driving and distracted driving conditions were compared and analyzed，and the influences of driving age on these performances were also discussed. The results show that compared to the normal driving，in all 3 distracted conditions，the standard deviation of longitudinal acceleration and the standard deviation of lateral acceleration increase while vehicle speed decreases. This indicates that drivers compensate for driving performance by speed and maneuver while distracted. The mean speed and the mean longitudinal acceleration are significantly influenced by the talking task，while the standard deviation of speed and the mean lateral acceleration are significantly influenced by reading the advertisement (p<0.05). The standard deviation of speed is significantly higher for experienced drivers compared to novices in the phoning condition (p=0.021). During phoning and advertisement reading tasks，the mean lateral acceleration is significantly higher for experienced drivers compared to novices (p=0.003，p=0.004). This means the experienced drivers are less affected by distracting behaviors.

Mine tremors and rock bursts are hot，difficult，and bottleneck problems that need to be solved urgently in the mining field. In order to effectively control mine tremors and rock bursts，the definition and classification of mine tremors，the hypothesis of mine pressure and the prevention and control technologies of mine tremors and rock bursts were summarized. And the theory of roof-cutting and pressure-relief was reviewed. Then，its application in abandoned stope disposal and pressure unloading mining of medium-thick gold mines and gob-side entry retaining laneway of medium-thick and below coal mines were introduced，and its difference with 110 working method was compared. Based on this，the definition of mine tremors was given，and it was pointed out that the occurrence conditions of mine tremors are similar to those of rock bursts. Therefore，the controlled blasting and groove caving technology of a deep-buried hard roof plate was put forward for thick ore body mining. The summary shows that the technology of controlled blasting groove caving is still the main method to release and transfer high underground pressure in the prevention and control of mine tremors and rock bursts in the future，it can also simplify the "masonry beam" of deep-buried thick orebody into a spring rock beam bearing system.

In order to investigate the effect of smoke evacuation patterns under ambient winds on the safe evacuation of people，taking a terminal building as the subject of the study，the multi-floor area was selected as the data acquisition range，33 control conditions were divided by controlling the smoke exhaust window，and fire dynamics simulator (FDS) software was used to obtain the smoke exhaust effect in the building under different conditions. Further construct wind direction intervals with north winds shifting to east winds via northeast winds to obtain the curve law of wind direction and time to reach hazards，and 0-90° as the high side window opening angle interval to obtain the suitable window opening range，according to the environmental wind to determine and optimize the safe evacuation. The results show that for the smoke exhaust effect in the building，if the high side windows are fully opened，it is conducive to smoke exhaust under no wind and low wind speed. If the wind speed is high，the wind direction perpendicular to the floor alignment is more effective for smoke evacuation. In the wind direction range，the wind direction of 0-70° will promote the smoke exhaust of the high side window，and the wind direction of 30 and 60° is the best，and the wind direction along the floor trend will have smoke backflow. Within the high side window opening angle，a 5-30° down-hung window or full opening window is appropriate. Combined with the time to reach hazards of the wind direction，the evacuation of floor personnel is optimized，and the evacuation time after adjustment is reduced by 10% compared with the unoptimized time.

To evaluate the influence of upper arch deformation on the safety of train operation on ballastless track inside high-speed railway tunnels，the upper arch deformation characteristics of different ballastless tracks were obtained based on measured data. Subsequently，a dynamic calculation model of the coupled system of uplift arch filler layer-ballastless track-vehicle was established. The impact of different upper arch deformation characteristics on the dynamic response of the vehicle was determined by using the calculation model，thereby assessing the safety of high-speed train operation. The results show that the measured wavelength is mainly distributed in 3 to 30 m and the amplitude is mainly distributed in 0 to 8 mm，among which the upper arch deformation is the most prominent with a wavelength of 10 m and an amplitude of 2 mm. When the upper arch wavelength is less than 6 m，the peak value of wheel-rail force is larger，and when the upper arch wavelength is about 12 m，the peak value of vertical acceleration of the vehicle is larger. The upper arch，with a wavelength of about 6 m，has a significant impact on high-speed driving safety and has a certain derailment risk，which should be paid more attention.

In case of major security accidents，information disseminated wantonly and difficult to discern in terms of authenticity can easily cause negative social sentiments. This poses several issues to emergency rescue. Sentiment analysis，topic calculation，and the SEIR model were used to investigate online opinion simulation and control strategies for major security accidents. The CDBN-TCN-CRF sentiment analysis model was proposed by coupling the Convolutional Deep Belief Networks (CDBN)，temporal convolutional networks (TCN)，and conditional random fields (CRF). Then，the T-distributed Wasserstein autoencoder (TWAE) topic computation model was used to discern sentiment polarity，topic categories，race sentiment trajectory，and public attention focal points within the network discourse. Furthermore，the proposed SEIR model was used to predict online public opinion tendency and analyze the dissemination dynamics and their influencing factors. The results indicate that the coupling of CDBN-TCN-CRF sentiment analysis，TWAE topic computation，and SEIR model has a better prediction performance on network discourse analysis and trend analysis.

In order to establish a scientific，accurate and normative urban safety risk management system，this paper makes some proposals based on the characteristics of urban safety risk. First，the urban safety risk was classified into four types according to the causal chain model which was established based on the definition and connotation of risk. Then，the characteristics of these four types of risk were analyzed considering the relevant static and dynamic urban characteristics. Last，the general and specific urban safety risk management proposals were made considering the current practice. This research shows that the characteristics of urban safety risk include accumulation of conventional risk，emergency of emerging risk，intensification of complex risk，and frequent occurrence of extreme risk. Some measures should be implemented to enhance the urban safety risk management system. The general framework of urban safety risk management should be established，and the specific risk assessment process and risk treatment measures should be implemented. Further，they should be integrated into the regular emergency management system of a city.

In order to address the increasing risk of conflict caused by the difficulty in effectively predicting aircraft point source localization，a time series trajectory prediction model AM-LSTM based on AM and LSTM was constructed，to predict the instantaneous point source location of the aircraft in the airfield area in a short time in the future. On this basis，the contour was expanded according to the aircraft type and glide heading，the aircraft speed was used as the safety distance weight，and the ray method was used to realize the determination of the contour conflict. Urumqi Dewopu Airport was used as an example for validation，and the trained trajectory prediction model was utilized to predict aircraft taxiing trajectories in the airfield area and identified taxiing conflicts between aircraft profiles. The results show that the AM-LSTM prediction model can accurately predict the aircraft movement trajectory in the airfield area，and the average displacement error of the trajectory position prediction in the next 3 s is 1.05 m，and the accuracy of trajectory point position prediction can reach 94.37%. Therefore，it can accurately identify the risk of taxiing conflict on the basis of trajectory prediction，which is conducive to guaranteeing the safe operation of the airfield area.

To adapt to the needs of public health emergency management and the changing talent requirements in the context of overall safety and emergency response，it is necessary to make appropriate adjustments to the public health emergency management talent development system. Firstly，the deficiencies and demands in cultivating public health emergency management talents were analysed. On this basis，the core elements in this training were clarified，including goals，types，modes，and curriculum development. Finally，the implementation path for cultivating these talents within the overall safety and emergency response was proposed. The results indicate the importance of updating educational concepts，implementing practical，experimental，and case-based teaching，integrating interdisciplinary training，enhancing collaborative and comprehensive skills，establishing a scientific evaluation system，and refining practical assessment methods to effectively enhance the construction of the public health emergency management talent development system.

In order to investigate the visual load of drivers at the threshold zone of linear highway tunnels，five visual indicators of drivers were collected through the real vehicle test. A visual load evaluation model was developed by the Topsis improved factor analysis method，the visual load at different times and locations was analyzed，the evaluation criteria of driving comfort were proposed based on the constructed visual load curve，the generalization ability of the constructed load model was verified by using published data，and finally，the influence of visual indicators on visual load was investigated by sensitivity analysis. The results show that when the driver locates about -13 m to 55 m (12:00) and -10 m to 49 m (15:00) from the entrance，the visual load exceeds the boundary value (0.906)，indicating the driver's driving comfort and safety is extremely low. The visual load and closeness of the drivers near the entrance are much greater than those inside and outside the entrance，and the visual load and closeness at 18:00 are much lower than those at 12:00 and 15:00. The sensitivity parameters of the visual indicators are fixation duration，pupil area，fixation time，saccade range，saccade speed in descending order.

In order to shorten the identification time of coal spontaneous combustion tendency，firstly，industrial analyzer and temperature programmed test device were used to measure the coal quality index value and the content of coal spontaneous combustion indicator gas at different temperatures. The critical temperature point of low-temperature oxidation was determined by CO volume fraction. Then，the equation between temperature and oxygen consumption rate was fitted through the Arrhenius formula，and the apparent activation energy of each coal sample at different stages before and after the critical temperature was solved. The correlation between the coal quality index value and the apparent activation energy before and after the critical temperature was analyzed by Pearson correlation coefficient method，and the correlation coefficient was calculated. Finally，the coal quality index value with the largest correlation coefficient was selected，and a multiple linear regression model for calculating the apparent activation energy of coal samples was established to analyze and predict the spontaneous combustion risk of coal. The results show that the correlation coefficients between different components of coal quality and the apparent activation energy before and after the critical temperature are significantly different. The negative correlation coefficients between volatile matter and the apparent activation energy before and after the critical temperature are the largest，which are -0.893 and -0.977 respectively. The positive correlation coefficients between fuel ratio and the apparent activation energy before and after the critical temperature are the largest，which are 0.956 and 0.968 respectively. The fitting degree of the established multiple linear regression model can reach 0.912 5 and 0.933 0.