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学者姓名：杨艳群
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Abstract ：
With the rapid increase in the number of two-wheeled electric vehicles, the number of accidents related to them has also greatly increased. However, despite facing a huge threat from accidents, the helmet, an efficient and legally required protection for riders, is not popular with Chinese two-wheeled electric vehicles riders. To study the factors affecting helmet use for these riders, this paper conducted an observational study to collect helmet use data for 16,207 two-wheeled electric vehicle riders in Fuzhou, China. With these data, this paper built a multivariate logistic regression model to study the main effects of various factors on helmet use, and analyze the interaction effects of these factors. Results showed that, on the one hand, area, weather, temperature, controller, separated non-motor-vehicle lanes, time, rider's age, and type of vehicle had significant effects on helmet use and the interaction between these factors is significant, especially the interaction between weather, temperature and other factors. On the other hand, level of service, gender and whether the riders are food delivery workers have no significant impact on helmet use, but show significant interaction effects with other factors.
Keyword ：
helmet use helmet use multivariate logistic regression model multivariate logistic regression model observational study observational study two-wheeled electric vehicles riders two-wheeled electric vehicles riders
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| GB/T 7714 | Lin, Wenhan , Li, Congying , Zheng, Weibin et al. Riding Risk: Factors Shaping Helmet Use Among Two-Wheeled Electric Vehicle Riders in Fuzhou, China [J]. | SYSTEMS , 2025 , 13 (3) . |
| MLA | Lin, Wenhan et al. "Riding Risk: Factors Shaping Helmet Use Among Two-Wheeled Electric Vehicle Riders in Fuzhou, China" . | SYSTEMS 13 . 3 (2025) . |
| APA | Lin, Wenhan , Li, Congying , Zheng, Weibin , Wang, Linwei , Yang, Yanqun . Riding Risk: Factors Shaping Helmet Use Among Two-Wheeled Electric Vehicle Riders in Fuzhou, China . | SYSTEMS , 2025 , 13 (3) . |
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As the primary setting for students' daily life and learning, university campuses are facing a growing concern about the impact of increased stress on students' emotional well-being. The sound environment plays a critical role in affecting students' mental health, learning efficiency, and overall well-being. However, research on the influence of campus soundscapes on students' emotions is limited, and the mechanisms behind these effects remain to be explored. This study, using the Qishan Campus of Fuzhou University as a case, investigates the impact of campus soundscapes on students' emotional perception and restorative effects. Four typical functional areas (academic zone (ACZ), residential zone (RDZ), recreational zone (RCZ), and administrative zone (ADZ)) were selected to analyze the effects of natural and artificial sounds on students' emotions and physiological states. Based on EEG, eye tracking, sound level measurements, and questionnaire surveys, a one-way repeated measures ANOVA was used to assess students' emotional arousal, valence, and physiological restoration under different soundscape conditions. The results showed that natural sounds, such as the sound of wind-blown leaves and flowing water, significantly improved students' emotions and restorative effects, while artificial noises like construction sounds and traffic noise had negative impacts. Additionally, subjective perceptions of soundscape restoration were positively correlated with arousal, valence, and acoustic comfort, and negatively correlated with gaze frequency and pupil size. The findings provide a theoretical foundation for optimizing campus soundscape design and highlight the importance of natural sounds in enhancing students' mental health and academic environment.
Keyword ：
campus landscape campus landscape emotional perception emotional perception perceptual measure perceptual measure restorative environment restorative environment soundscape soundscape
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| GB/T 7714 | Liang, Qing , Lin, Shucan , Wang, Linwei et al. The Impact of Campus Soundscape on Enhancing Student Emotional Well-Being: A Case Study of Fuzhou University [J]. | BUILDINGS , 2025 , 15 (1) . |
| MLA | Liang, Qing et al. "The Impact of Campus Soundscape on Enhancing Student Emotional Well-Being: A Case Study of Fuzhou University" . | BUILDINGS 15 . 1 (2025) . |
| APA | Liang, Qing , Lin, Shucan , Wang, Linwei , Yang, Fanghuan , Yang, Yanqun . The Impact of Campus Soundscape on Enhancing Student Emotional Well-Being: A Case Study of Fuzhou University . | BUILDINGS , 2025 , 15 (1) . |
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The entrance zones of highway tunnels present a visually complex environment, often requiring multiple traffic signs to ensure driving safety. However, excessive information or improperly positioned traffic signs may cause cognitive overload, hinder their ability to adapt to changing driving conditions and compromise traffic safety. This study aims to assess the effect of traffic signs information supply speed (TSISS), which considers factors such as traffic sign information (TSI), combined installation and spacing of traffic signs, and speed limits on the road, on driving performance and CL. The study collected four types of performance data: eye movement, electroencephalogram (EEG), driving behavior, and subjective cognitive load (SCL). A driving simulator experiment used six TSISSs at the highway tunnel entrance zone: 0.333, 0.400, 0.500, 0.600, 0.667, and 0.833 items/s. An "item" is an independent directive or command of traffic signs. The results showed that as the TSISS increased, pupil area, scan rate, theta wave absolute power, longitudinal acceleration, steering wheel angle, and SCL significantly increased. In contrast, blink frequency, alpha wave absolute power, and vehicle longitudinal speed decreased. When the TSISS did not exceed 0.600 items/s, the efficiency values calculated by the data envelopment analysis model were high (more than 0.950). However, when the TSISS exceeded 0.600 items/s, the efficiency significantly decreased (below 0.850). Based on these findings, 0.600 items/s is recommended as the optimal threshold for TSISS at highway tunnel entrances. These findings can help evaluate the rationality and effectiveness of traffic sign placement at tunnel entrances, providing essential theoretical bases and practical guidelines for optimizing the overall design of highway traffic signs.
Keyword ：
Cognitive Load Cognitive Load Data Envelopment Analysis Data Envelopment Analysis Driving Simulator Driving Simulator Traffic Signs Information Supply Speed Traffic Signs Information Supply Speed Tunnel Entrance Zone Tunnel Entrance Zone
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| GB/T 7714 | Yang, Yanqun , Wu, Xinli , Yin, Danni et al. Effect of Traffic Sign's Information Supply Speed on Driver Performance at Tunnel Entrances [J]. | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2025 , 111 : 217-237 . |
| MLA | Yang, Yanqun et al. "Effect of Traffic Sign's Information Supply Speed on Driver Performance at Tunnel Entrances" . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR 111 (2025) : 217-237 . |
| APA | Yang, Yanqun , Wu, Xinli , Yin, Danni , Easa, Said M. , Zheng, Xinyi . Effect of Traffic Sign's Information Supply Speed on Driver Performance at Tunnel Entrances . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2025 , 111 , 217-237 . |
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Based on combining the relevant studies on situation awareness (SA), this paper integrated multiple indicators, including eye movement, electroencephalogram (EEG), and driving behavior, to evaluate SA. SA is typically divided into three stages: perception, understanding and prediction. This paper used eye movement indicators to represent perception, EEG indicators to represent understanding, and driving behavior indicators to represent prediction. After identifying indicators for evaluating SA, a driving simulation experiment was designed to collect data on the indicators. 41 subjects were recruited to participate in the investigation, and the experimenter collected data from each subject in a total of 9 groups. After removing 4 groups of invalid data, 365 groups of valid data were finally obtained. The grey correlation analysis was used to optimize the SA indicators, and 10 SA evaluation indicators were finally determined. There were the average fixation duration, the nearest neighbor index, pupil area, the percentage power spectral density values of the 3 rhythmic waves (0 , alpha , beta), rhythmic wave energy combination parameters ( alpha / 0), mean speed, SD of speed and acceleration. Taking the optimized 10 indicators as input and the SA scores as output, a backpropagation neural network model with a topological structure of 10-8-1 was constructed. 75% of the data were randomly selected for model training, and the final network training 's mean square error was 0.0025. Using the remaining 25% of data for verification, the average absolute error and average relative error of the predicted results are 0.248 and 0.046, respectively. This showed that the model was effective, and it was feasible to evaluate the SA by using the data of eye movement, EEG and driving behavior parameters.
Keyword ：
Backpropagation neural network Backpropagation neural network Electroencephalogram Electroencephalogram Eye movement Eye movement Situation awareness Situation awareness
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| GB/T 7714 | Yang, Yanqun , Chen, Yue , Easa, Said M. et al. Evaluation of driver's situation awareness in freeway exit using backpropagation neural network [J]. | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 : 42-57 . |
| MLA | Yang, Yanqun et al. "Evaluation of driver's situation awareness in freeway exit using backpropagation neural network" . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR 105 (2024) : 42-57 . |
| APA | Yang, Yanqun , Chen, Yue , Easa, Said M. , Lin, Jie , Chen, Meifeng , Zheng, Xinyi . Evaluation of driver's situation awareness in freeway exit using backpropagation neural network . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 , 42-57 . |
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为减少弯道段交通事故,对山区公路视线诱导设施综合效用进行研究.在弯道段单独或组合设置护栏、轮廓标、线形诱导标3类视线诱导设施,并基于驾驶模拟器、眼动仪和脑电仪获取眼动、脑电及驾驶行为数据,分析不同设置方案下驾驶人的行为特性.基于超效率BCC-DEA模型,构建山区公路弯道视线诱导设施有效性评价体系,对不同设置方案的综合效果进行评价.结果表明:视线诱导设施组合设置对驾驶行为的影响比单独设置效果更好,其中采用“线形诱导标+轮廓标”设置效果最优;视线诱导设施设置数量超过2个时会降低警示与诱导效果;指标敏感性分析表明,速度和横向位移指标分别是单独与组合设置时影响安全过弯的关键因素.
Keyword ：
山区公路弯道 山区公路弯道 数据包络分析 数据包络分析 视线诱导设施 视线诱导设施 超效率分析 超效率分析 驾驶模拟 驾驶模拟
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| GB/T 7714 | 杨艳群 , 黄永 , 姚羽珊 et al. 基于DEA模型的山区公路视线诱导设施综合效用评价 [J]. | 交通工程 , 2024 , 24 (03) : 1-9 . |
| MLA | 杨艳群 et al. "基于DEA模型的山区公路视线诱导设施综合效用评价" . | 交通工程 24 . 03 (2024) : 1-9 . |
| APA | 杨艳群 , 黄永 , 姚羽珊 , 郑新夷 . 基于DEA模型的山区公路视线诱导设施综合效用评价 . | 交通工程 , 2024 , 24 (03) , 1-9 . |
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With the rapid increase in electric bicycle (e-bikes) use, the rate of associated traffic accidents has also escalated. Prior studies have extensively examined e-bike riders’ injury risks, yet there is a limited understanding of how their behavior contributes to these accidents. This study aims to explore the relationship between e-bike riders’ risk-taking behaviors and the incidence of traffic accidents, and to propose targeted safety measures based on these insights. Utilizing a mixed-methods approach, this research integrates quantitative data from traffic accident reports and qualitative observations from naturalistic studies. The study employs a binary logistic regression model to analyze risk factors and uses observational data to substantiate the model findings. The analysis reveals that assertive driving behaviors among e-bike riders, such as running red lights and speeding, significantly contribute to the high rate of accidents. Moreover, the lack of protective gear and inadequate safety training are identified as critical factors increasing the risk of severe injuries. The study concludes that comprehensive policy interventions, including stricter enforcement of traffic laws and mandatory safety training for e-bike riders, are essential to mitigate the risks associated with e-bike use. The findings advocate for an integrated approach to urban traffic management that enhances the safety of all road users, particularly vulnerable e-bike riders. © 2024 by author(s).
Keyword ：
e-bikes e-bikes epidemiological studies epidemiological studies logit model logit model natural observation natural observation riding safety riding safety risk-taking behavior risk-taking behavior
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| GB/T 7714 | Yang, Y. , Tian, H. , Feng, Y. et al. Risk-taking behavior of electric cyclists and policy recommendations: A case study [J]. | Journal of Infrastructure, Policy and Development , 2024 , 8 (11) . |
| MLA | Yang, Y. et al. "Risk-taking behavior of electric cyclists and policy recommendations: A case study" . | Journal of Infrastructure, Policy and Development 8 . 11 (2024) . |
| APA | Yang, Y. , Tian, H. , Feng, Y. , Easa, S.M. , Zheng, X. . Risk-taking behavior of electric cyclists and policy recommendations: A case study . | Journal of Infrastructure, Policy and Development , 2024 , 8 (11) . |
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为研究高速公路枢纽互通处指路标志地名信息设置的有效性,本文以河北省石衡高速公路某处枢纽互通指路标志设置作为仿真场景,开展驾驶模拟实验,设置不同等级地名信息并将驾驶人按照目的地分为过境交通流和境内交通流,通过Disklablis眼动仪与32通道NE无线脑电仪获取驾驶人在经过此处指路标志时的注视行为参数及脑电信号,分析不同等级地名信息对于驾驶人正确寻径行为的影响.
Keyword ：
地名信息 地名信息 指路标志 指路标志 枢纽互通 枢纽互通 眼动行为 眼动行为 脑电信号 脑电信号
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| GB/T 7714 | 史志卫 , 杨艳群 . 枢纽互通指路标志地名信息选取原则探究 [J]. | 中国公路 , 2024 , 667 (15) : 113-115 . |
| MLA | 史志卫 et al. "枢纽互通指路标志地名信息选取原则探究" . | 中国公路 667 . 15 (2024) : 113-115 . |
| APA | 史志卫 , 杨艳群 . 枢纽互通指路标志地名信息选取原则探究 . | 中国公路 , 2024 , 667 (15) , 113-115 . |
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高速公路指路标志为驾驶人提供路径信息,是帮助驾驶人到达目的地的重要交通基础设施.本文在京港澳高速路段开展实车实验,采集驾驶人的驾驶行为和眼动数据,探究其寻路行为.实验结果分析表明,指路标志的位置、信息数量、指向数量、信息内容会影响驾驶人寻路,并且通过驾驶人的驾驶行为和眼动变化表征.
Keyword ：
交通工程 交通工程 寻路行为 寻路行为 眼动 眼动 驾驶行为 驾驶行为
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| GB/T 7714 | 史志卫 , 杨艳群 . 基于驾驶行为和眼动的高速公路寻路行为探究 [J]. | 中国公路 , 2024 , (14) : 114-116 . |
| MLA | 史志卫 et al. "基于驾驶行为和眼动的高速公路寻路行为探究" . | 中国公路 14 (2024) : 114-116 . |
| APA | 史志卫 , 杨艳群 . 基于驾驶行为和眼动的高速公路寻路行为探究 . | 中国公路 , 2024 , (14) , 114-116 . |
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This paper evaluates the influence of different variables on drivers' willingness to accept and use a vehicle-mounted perfume automatic dispersal device (VP-ADD) connected to the vehicle's electronic map. Based on the technical acceptance model, we clarify and condense the explanation of the model used to evaluate the impact of user behavior attitudes and device characteristics on six factors, perceived usefulness, perceived ease of use, attitude towards use, intention to use, perceived playfulness, and perceived risk, proposing eight hypotheses. Then, we assessed the responses of 562 drivers in China using SPSS for reliability and validity and AMOS for structural equation modeling to test our hypotheses. The findings reveal that the perceived usefulness, ease of use, playfulness, and risk significantly affected the willingness to accept and use the VP-ADD. Furthermore, the perceived risk has a negative influence, while the perceived usefulness, perceived ease of use, perceived playfulness, and attitude towards use have a positive influence. This research is significant for further development and application of the VP-ADD. It is essential to alleviate driver fatigue, ensure traffic safety, and provide theoretical and empirical support for designing more popular driving assistance devices. Furthermore, it offers valuable insights for developing fatigue driving warning policies, in-vehicle device guidelines, and traffic safety regulations.
Keyword ：
car drivers car drivers perfume perfume structural equation model structural equation model technology acceptance model technology acceptance model
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| GB/T 7714 | Yang, Yanqun , Wu, Xinli , Wang, Linwei et al. Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (11) . |
| MLA | Yang, Yanqun et al. "Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers" . | APPLIED SCIENCES-BASEL 14 . 11 (2024) . |
| APA | Yang, Yanqun , Wu, Xinli , Wang, Linwei , Easa, Said M. , Zheng, Xinyi . Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers . | APPLIED SCIENCES-BASEL , 2024 , 14 (11) . |
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With the benefits of reduced travel time and alleviated traffic congestion, tunnel construction significantly enhances urban mobility. Meanwhile, tunnel construction accidents result in many casualties and property losses. To minimize accidents associated with tunnel construction while keeping its benefits, it is important to enhance the effectiveness and efficiency of training programs for construction workers. However, there is a lack of training evaluation systems specifically designed for tunnel construction workers, along with limited research on the effectiveness and efficiency of training programs for this group. This paper targets personnel from the China Railway 14th Bureau Group Company, aiming to evaluate a training program designed for tunnel construction workers. Three popular training approaches are proposed to evaluate the effectiveness and efficiency of training outcomes, including WeChat push safety construction knowledge (WP), the emergency drill (ED), and the unitive lecture (UL). Additionally, a concept of study is conducted to examine the performance of the proposed approaches in eighteen schemes that vary at different levels of training intensity by using VR (virtual reality), an electroencephalogram (EEG) system, and data enveloping analysis (DEA). The results show that the ED is the most effective training method, enabling industry professionals to respond effectively to unsafe situations by equipping them with critical skills through comprehensive training. Additionally, the ED has great potential for training tunnel construction workers via the provision of simulated experiences to enhance their safety preparedness.
Keyword ：
data enveloping analysis data enveloping analysis electroencephalogram electroencephalogram training program performance evaluation training program performance evaluation tunnel construction workers tunnel construction workers virtual reality virtual reality
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| GB/T 7714 | Guo, Zongyong , Tao, Huadi , Yang, Yanqun et al. Evaluating the Effectiveness and Efficiency of a Training Program for Tunnel Construction Workers [J]. | BUILDINGS , 2024 , 14 (12) . |
| MLA | Guo, Zongyong et al. "Evaluating the Effectiveness and Efficiency of a Training Program for Tunnel Construction Workers" . | BUILDINGS 14 . 12 (2024) . |
| APA | Guo, Zongyong , Tao, Huadi , Yang, Yanqun , Lin, Wei . Evaluating the Effectiveness and Efficiency of a Training Program for Tunnel Construction Workers . | BUILDINGS , 2024 , 14 (12) . |
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