HUANG jianling

HUANG jianling


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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1 May 2023 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
YZYunchao Zhang
Yunchao Zhang
YCYanyan Chen
Yanyan Chen
XGXin Gu
Xin Gu
Nang Ngai SzeNang Ngai Sze
Nang Ngai Sze
HJHUANG jianling
HUANG jianling

29 August 2024 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
XZxiaolong zhang
xiaolong zhang
Xiaohua ZhaoXiaohua Zhao
Xiaohua Zhao
YBYang Bian
Yang Bian
HJHUANG jianling
HUANG jianling
LYLuyao Yin
Luyao Yin

29 July 2024 in Journal of Cleaner Production
Verified
Journal Article
Closed access
XZxiaolong zhang
xiaolong zhang
YBYang Bian
Yang Bian
Xiaohua ZhaoXiaohua Zhao
Xiaohua Zhao
HJHUANG jianling
HUANG jianling
ZLZhongyin Liu
Zhongyin Liu

14 January 2026 in Sustainability
Verified
Journal Article
Open access
PDF file
FZFangyan Zhang
Fangyan Zhang
QLQiqi Liu
Qiqi Liu
HJHUANG jianling
HUANG jianling
Xiaohua ZhaoXiaohua Zhao
Xiaohua Zhao
WDWenhui Dong
Wenhui Dong
As a novel traffic security facility to improve the environment of tunnels, the influence of tunnel sidewall decoration on drivers has been highly controversial. To analyze the impact of the multi-factor coupling of sidewall decoration effects on driving safety, eight combination schemes with different pattern elements and pattern spacings were designed to create a driving simulation environment. Twenty-seven drivers were recruited to obtain fine-grained driving behavior indicators via driving simulation experiments. The velocity following ratio, steering wheel angle, maximum deceleration, and accelerator power were selected to construct an index system. The visual information load of drivers was quantified by the landscape color quantified theory. Based on the analysis of the influence of the singular factor of the pattern element or pattern spacing on driving behavior, a coupling coordination degree model is introduced to quantify the relationship between the complexity of the pattern elements, the pattern spacing, and the coupling coordination degree, and a reasonable combination of their complexities is selected. The results show that the element complexity and pattern spacing of tunnel sidewall decoration have significant effects on driving behavior. Among the schemes considered in this study, the coupling effect of an element complexity of 562.1 and a pattern spacing of 5.5 m was found to be the optimal combination. The coupling coordination degree should be more than 0.8 as the threshold, and the model analysis results indicated that when the pattern spacing was fixed at about 10 m, the ideal element complexity was between 135.6–564.7. This study offers both theoretical and technical support for enhancing traffic safety through tunnel sidewall decoration. By defining optimal thresholds for information density and pattern spacing, it lays a solid foundation for the development of a standardized guideline on decoration content.