收藏該雜志
同大類學(xué)科其它級(jí)別期刊：
中科院 1區(qū) 期刊 JCR Q1 期刊 中科院 2區(qū) 期刊 JCR Q2 期刊 中科院 3區(qū) 期刊 JCR Q3 期刊 中科院 4區(qū) 期刊 JCR Q4 期刊Journal Of Transportation Safety & Security SCIE SSCI
國(guó)際簡(jiǎn)稱：J TRANSP SAF SECUR 參考譯名：運(yùn)輸安全與安保
主要研究方向：TRANSPORTATION 非預(yù)警期刊 審稿周期：
《運(yùn)輸安全與安保》(Journal Of Transportation Safety & Security)是一本由Taylor & Francis出版的以TRANSPORTATION為研究特色的國(guó)際期刊，發(fā)表該領(lǐng)域相關(guān)的原創(chuàng)研究文章、評(píng)論文章和綜述文章，及時(shí)報(bào)道該領(lǐng)域相關(guān)理論、實(shí)踐和應(yīng)用學(xué)科的最新發(fā)現(xiàn)，旨在促進(jìn)該學(xué)科領(lǐng)域科學(xué)信息的快速交流。該期刊是一本未開放期刊，近三年沒有被列入預(yù)警名單。
- 3區(qū) 中科院分區(qū)
- Q3 JCR分區(qū)
- 53 年發(fā)文量
- 2.4 IF影響因子
- 未開放 是否OA
- 2009 創(chuàng)刊年份
- 6 issues/year 出版周期
- English 出版語(yǔ)言
Prior to the inception of the Journal of Transportation Safety & Security (JTSS), there were limited outlets for publishing research in the areas of comprehensive transportation safety or transportation security. JTSS fills that gap by emphasizing safety issues of multimodal transportation, including highway, transit, ride-sharing, pedestrian and bicycle modes as well as rail, water and aviation. The journal's aim is to disseminate advanced research results and engineering experience to educators, researchers, practitioners, and policy makers to enhance transportation safety with comprehensive and integrated solutions.
JTSS provides a discussion forum for the exchange of academic ideas, data, and integrated transportation safety solutions developed through engineering research in multimodal transportation safety arenas. The journal is supported and directed by an international editorial board of renowned experts in all modes transportation safety.
Journal Of Transportation Safety & Security期刊信息
- ISSN：1943-9962
- 出版語(yǔ)言：English
- 是否OA：未開放
- E-ISSN：1943-9970
- 出版地區(qū)：UNITED STATES
- 是否預(yù)警：否
- 出版商：Taylor & Francis
- 出版周期：6 issues/year
- 創(chuàng)刊時(shí)間：2009
- 開源占比：0.0257
- Gold OA文章占比：1.94%
- OA被引用占比：0.0111...
- 出版國(guó)人文章占比：0.18
- 出版撤稿占比：0
- 研究類文章占比：94.34%
Journal Of Transportation Safety & Security CiteScore評(píng)價(jià)數(shù)據(jù)（2024年最新版）
| CiteScore | SJR | SNIP | CiteScore 指數(shù) | ||||||||||||
| 6 | 0.699 | 1.057 |
|
名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻(xiàn)的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個(gè)指標(biāo)。當(dāng)年CiteScore 的計(jì)算依據(jù)是期刊最近4年（含計(jì)算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻(xiàn)數(shù)。例如，2022年的 CiteScore 計(jì)算方法為：2022年的 CiteScore =2019-2022年收到的對(duì)2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻(xiàn)數(shù)量 注：文獻(xiàn)類型包括：文章、評(píng)論、會(huì)議論文、書籍章節(jié)和數(shù)據(jù)論文。
Journal Of Transportation Safety & Security中科院評(píng)價(jià)數(shù)據(jù)
中科院 2023年12月升級(jí)版
| Top期刊 | 綜述期刊 | 大類學(xué)科 | 小類學(xué)科 | ||
| 否 | 否 | 工程技術(shù) | 3區(qū) | TRANSPORTATION 交通運(yùn)輸 | 4區(qū) |
中科院 2022年12月升級(jí)版
| Top期刊 | 綜述期刊 | 大類學(xué)科 | 小類學(xué)科 | ||
| 否 | 否 | 工程技術(shù) | 3區(qū) | TRANSPORTATION 交通運(yùn)輸 | 4區(qū) |
中科院 2021年12月舊的升級(jí)版
| Top期刊 | 綜述期刊 | 大類學(xué)科 | 小類學(xué)科 | ||
| 否 | 否 | 工程技術(shù) | 3區(qū) | TRANSPORTATION 交通運(yùn)輸 | 4區(qū) |
中科院 2021年12月升級(jí)版
| Top期刊 | 綜述期刊 | 大類學(xué)科 | 小類學(xué)科 | ||
| 否 | 否 | 工程技術(shù) | 3區(qū) | TRANSPORTATION 交通運(yùn)輸 | 4區(qū) |
中科院 2020年12月舊的升級(jí)版
| Top期刊 | 綜述期刊 | 大類學(xué)科 | 小類學(xué)科 | ||
| 否 | 否 | 工程技術(shù) | 4區(qū) | TRANSPORTATION 交通運(yùn)輸 | 4區(qū) |
Journal Of Transportation Safety & Security JCR評(píng)價(jià)數(shù)據(jù)（2023-2024年最新版）
| 按JIF指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
| 學(xué)科：TRANSPORTATION | SSCI | Q3 | 36 / 57 |
37.7% |
| 按JCI指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
| 學(xué)科：TRANSPORTATION | SSCI | Q3 | 39 / 57 |
32.46% |
Journal Of Transportation Safety & Security歷年數(shù)據(jù)統(tǒng)計(jì)
影響因子
中科院分區(qū)
Journal Of Transportation Safety & Security中國(guó)學(xué)者發(fā)文選摘
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1、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
-
2、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
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3、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
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4、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
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5、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
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6、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
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7、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
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8、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
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