Jingya Wang

Ms. Jingya Wang


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 January 2025 in Fire
Verified
Journal Article
Open access
PDF file
JWJingya Wang
Jingya Wang
DYDiping Yuan
Diping Yuan
Dingli LiuDingli Liu
Dingli Liu
TZTian Zhou
Tian Zhou
WLWeijun Liu
Weijun Liu
Over recent decades, the number of high-rise building fires has increased rapidly with urbanization. However, few studies have been conducted from the perspective of fire safety awareness among residents in high-rise buildings. This study investigated the fire safety literacy of people in high-rise buildings. High-rise buildings are an important part of the urban environment, and fires can cause environmental pollution. In this work, online and on-site questionnaire surveys were combined to investigate residents’ evacuation preparation, firefighting skills, and knowledge about firefighting equipment. A total of 3000 questionnaires were collected, of which 2026 were validated. The survey results showed that 27.79% of residents were unaware of the location of evacuation staircases, 55.43% were not aware of the location of refuge floors in super high-rise buildings, and 41.20% were not aware that fire doors should be in a normally closed state. The main findings of this investigation indicate that the fire safety knowledge of residents in high-rise buildings is gravely deficient. Therefore, it is recommended that fire safety awareness campaigns be enhanced in both school education and community activities, and residents in high-rise buildings should be organized to participate in regular fire drills.

30 November 2023 in Fire
Verified
Journal Article
Open access
PDF file
YLYing Li
Ying Li
Dingli LiuDingli Liu
Dingli Liu
HJHong Jiang
Hong Jiang
SCShanbin Chen
Shanbin Chen
WLWeijun Liu
Weijun Liu
TZTian Zhou
Tian Zhou
The number of tunnel fire accidents has increased with the scale of expressway tunnel construction and traffic flow. Due to the severity of tunnel fires, improving tunnel fire safety and reducing fire accident hazards has become a societal concern. It is essential to explore and evaluate tunnel fire safety literacy among the population. In this study, an online and on-site questionnaire survey was conducted in Hunan Province, China. A total of 1990 questionnaires were collected, of which 1573 were valid. Overall statistical analysis, descriptive statistics, and correlation analysis were performed on valid questionnaires. The results show that the overall level score rate of awareness of drivers and passengers regarding tunnel fire safety was only 0.43. In total, 58.42% of people were unaware of the pedestrian cross passages in expressway tunnels, and 68.40% were unable to recognize them. Similarly, 46.47% of people were unable to recognize evacuation signs in expressway tunnels. In addition, 39.29% of people chose the wrong evacuation behavior. The percentage of people who were aware of the correct usage of firefighting facilities in expressway tunnels was below 50.00%. Correlation analysis results show that tunnel users’ demographic characteristics significantly affected their cognition of expressway tunnel escape methods. This study shows that tunnel users’ emergency escape knowledge regarding tunnels is relatively low. Corresponding countermeasures were proposed to guide policy decisions for enhancing tunnel fire safety.

23 September 2024 in Fire
Verified
Journal Article
Open access
PDF file
CLChunling Lu
Chunling Lu
Dingli LiuDingli Liu
Dingli Liu
YHYao Huang
Yao Huang
YLYing Li
Ying Li
SCShanbin Chen
Shanbin Chen
JWJingya Wang
Jingya Wang
In recent years, the number of underwater road tunnels in Chinese cities has increased. However, the current situation of personal fire safety literacy as it pertains to these tunnels remains unclear. To address this gap, a questionnaire survey was conducted to investigate people’s awareness of escape slides, evacuation signs, and the correct evacuation paths for fire escape. A total of 1049 respondents in Changsha, China, were surveyed, with 791 valid questionnaires collected and analyzed. The findings revealed that a significant proportion of respondents (81.80%) were unaware of the presence of escape slides in underwater road tunnels, while 87.86% could not recognize them and 93.05% could not use them. Only 42.04% of respondents could identify evacuation signs in underwater road tunnels. In the event of a fire, just half of the respondents could select the appropriate escape or evacuation path. Additionally, demographic differences among respondents also influenced their level of fire safety literacy. Based on these findings, it is recommended that the government and relevant organizations should enhance the dissemination of knowledge regarding escape slides and evacuation signs in underwater road tunnels.

5 June 2026 in Fire
Verified
Journal Article
Open access
PDF file
Dingli LiuDingli Liu
Dingli Liu
YCYantong Chen
Yantong Chen
Rongwei BuRongwei Bu
Rongwei Bu
JWJingya Wang
Jingya Wang
JLJunqi Liu
Junqi Liu
YHYao Huang
Yao Huang
Timely and efficient evacuation is crucial for tunnel fire safety. Previous studies often assumed fixed vehicle spacing and vehicle type ratios, which did not reflect real traffic conditions. Based on high-resolution satellite imagery of congested scenarios nationwide, 1703 sets of static vehicle spacing data were obtained. Descriptive statistical analysis and the K–S test were conducted. As a result, a log-normal distribution model of vehicle spacing was established, with an average spacing of 2.23 m, a logarithmic mean of 0.707, and a logarithmic standard deviation of 0.439. Analysis of 11,211 vehicle samples further revealed an uneven distribution of vehicle types across lanes. Based on the statistical data, a random vehicle arrangement algorithm was developed for highway tunnels, incorporating the log-normal characteristics of vehicle spacing. Using this algorithm, non-uniform vehicle layouts were generated for tunnel evacuation modeling. A total of 120 simulations across 12 different scenarios were then conducted to analyze the impact of log-normal vehicle spacing on evacuation time. Results showed that evacuation time was 2–5% longer under a log-normal distribution than under a uniform distribution. Therefore, future tunnel evacuation simulations should account for the log-normal distribution of vehicle spacing and the actual vehicle type ratio.