Journal Of Transportation Safety & Security

Journal Of Transportation Safety & Security

运输安全与安保

  • 3区 中科院分区
  • Q3 JCR分区

期刊简介

《Journal Of Transportation Safety & Security》是由Taylor & Francis出版社于2009年创办的英文国际期刊(ISSN: 1943-9962,E-ISSN: 1943-9970),该期刊长期致力于交通运输领域的创新研究,主要研究方向为TRANSPORTATION。作为SCIE、SSCI收录期刊(JCR分区 Q3,中科院 3区),本刊采用OA未开放获取模式(OA占比0.0111...%),以发表交通运输领域等方向的原创性研究为核心(研究类文章占比94.34%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在53篇,确保学术质量与前沿性。成果覆盖Web of ScienceWeb of Science、Scopus等国际权威数据库,为学者提供推动工程技术领域高水平交流平台。

投稿咨询

投稿提示

Journal Of Transportation Safety & Security审稿周期约为 。该刊近年未被列入国际预警名单,年发文量约53篇,录用竞争适中,主题需确保紧密契合工程技术前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 工程技术 大类学科
  • English 出版语言
  • 是否预警
  • SCIE、SSCI 期刊收录
  • 53 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
工程技术
3区
TRANSPORTATION 交通运输
4区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
工程技术
3区
TRANSPORTATION 交通运输
4区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:TRANSPORTATION SSCI Q3 36 / 57

37.7%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:TRANSPORTATION SSCI Q3 39 / 57

32.46%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:6 SJR:0.699 SNIP:1.057
学科类别 分区 排名 百分位
大类:Social Sciences 小类:Safety Research Q1 17 / 109

84%

大类:Social Sciences 小类:Transportation Q2 49 / 141

65%

期刊发文

  • Analyzing single-vehicle and multi-vehicle freeway crashes with unobserved heterogeneity

    Author: Feng, Mingjie; Wang, Xuesong; Li, Yan

    Journal: JOURNAL OF TRANSPORTATION SAFETY & SECURITY. 2023; Vol. 15, Issue 1, pp. 59-81. DOI: 10.1080/19439962.2021.2020945

  • An image-based crash risk prediction model using visual attention mapping and a deep convolutional neural network

    Author: Hu, Chengyu; Yang, Wenchen; Liu, Chenglong; Fang, Rui; Guo, Zhongyin; Tian, Bijiang

    Journal: JOURNAL OF TRANSPORTATION SAFETY & SECURITY. 2023; Vol. 15, Issue 1, pp. 1-23. DOI: 10.1080/19439962.2021.2015731

  • An ensemble machine learning method for crash responsibility assignment in quasi-induced exposure theory

    Author: Zhang, Guopeng; Cai, Ying; Jiang, Xinguo; Fan, Yingfei; Zhou, Yue; Qian, Jun

    Journal: JOURNAL OF TRANSPORTATION SAFETY & SECURITY. 2023; Vol. 15, Issue 1, pp. 24-42. DOI: 10.1080/19439962.2022.2026543

  • Investigating injury severity of pedestrian-vehicle crashes by integrating latent class cluster analysis and unbalanced panel mixed ordered probit model

    Author: Xiao, Daiquan; Saric, Zeljko; Xu, Xuecai; Yuan, Quan

    Journal: JOURNAL OF TRANSPORTATION SAFETY & SECURITY. 2023; Vol. 15, Issue 2, pp. 83-102. DOI: 10.1080/19439962.2022.2033900

  • Modeling disruption durations of subway service via random survival forests: The case of Shanghai

    Author: Wang, Xinyuan; Li, Jian; Yu, Rongjie

    Journal: JOURNAL OF TRANSPORTATION SAFETY & SECURITY. 2023; Vol. 15, Issue 2, pp. 215-237. DOI: 10.1080/19439962.2022.2048762

  • Characterizing the differences of injury severity between single-vehicle and multi-vehicle crashes in China

    Author: Ma, Jingfeng; Ren, Gang; Li, Haojie; Wang, Shunchao; Yu, Jingcai

    Journal: JOURNAL OF TRANSPORTATION SAFETY & SECURITY. 2023; Vol. 15, Issue 3, pp. 314-334. DOI: 10.1080/19439962.2022.2056931

  • A genetic programming approach for real-time crash prediction to solve trade-off between interpretability and accuracy

    Author: Ma, Xiaochi; Lu, Jian; Liu, Xian; Qu, Weibin

    Journal: JOURNAL OF TRANSPORTATION SAFETY & SECURITY. 2023; Vol. 15, Issue 4, pp. 421-443. DOI: 10.1080/19439962.2022.2076756

  • Risk preference, risk perception as predictors of risky driving behaviors: the moderating effects of gender, age, and driving experience

    Author: Jing, Linlin; Shan, Wei; Zhang, Yingyu

    Journal: JOURNAL OF TRANSPORTATION SAFETY & SECURITY. 2023; Vol. 15, Issue 5, pp. 467-492. DOI: 10.1080/19439962.2022.2086953