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Abstract

In order to analyze the factors affecting the risk of nighttime expressway maintenance operation and quantitatively assess the degree of influence of various factors on the risk of nighttime maintenance operation, this paper extracted five first-level indicators and 36 second-level indicators that affect the risk of operation through literature review, accident data, and questionnaire survey and built an evaluation system. The first-order and second-order confirmatory factor analysis models were constructed by using a structural equation model (SEM) based on 343 questionnaires of the nighttime maintenance operation risks. The results show that the driver factor has the greatest effect on the operation risk, followed by the operation area, vehicle, road, and environment. Among the five first-level indicators, except that the environmental impact on vehicles is not significant, the other indicators have significant impacts on each other.

Publication Date

7-14-2023

DOI

10.14048/j.issn.1671-2579.2023.03.045

First Page

281

Last Page

286

Submission Date

March 2025

Reference

[1]Cottrell. Improving night work zone traffic control[J].Virginia Highway & Transportation Research Council Vhtrc, 1999. [2] ZHANG K R, HASSAN M. Crash severity analysis of nighttime and daytime highway work zone crashes[J]. PLoS One, 2019, 14(8): e0221128. [3] LI Y F, BAI Y. Highway work zone risk factors and their impact on crash severity[J]. Journal of Transportation Engineering, 2009, 135(10): 694-701. [4] 孟祥海, 徐汉清, 史永义. 高速公路施工作业区追尾风险及其突出影响因素识别[J]. 公路交通科技, 2012, 29(12): 133-138. MENG Xianghai, XU Hanqing, SHI Yongyi. Identification of rear-end collision risk on freeway work zone and its prominent influencing factors[J]. Journal of Highway and Transportation Research and Development, 2012, 29(12): 133-138. [5] WEI X X, SHU X, HUANG B S, et al. Analyzing traffic crash severity in work zones under different light conditions[J]. Journal of Advanced Transportation, 2017, 2017(1): 5783696. [6] 张云雨. 基于AHP-FCE的高速公路作业区占道施工风险评估研究[D]. 南京: 东南大学, 2017. ZHANG Yunyu. Study on risk assessment of occupation construction in expressway working area based on AHP-FCE[D]. Nanjing: Southeast University, 2017. [7] 吴彪, 许洪国, 戴彤焱. 基于DEMATEL-ISM的高速公路作业区交通安全影响因素辨识[J]. 交通运输系统工程与信息, 2010, 10(5): 130-136. WU Biao, XU Hongguo, DAI Tongyan. Identifying safety factors on expressway work zone based on DEMATEL and ISM[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(5): 130-136. [8] 刘纪坤, 刘恩宇, 郭红娟, 等. 山区高速公路施工过程风险评价模型研究[J]. 中外公路, 2019, 39(3): 303-307. LIU Jikun, LIU Enyu, GUO Hongjuan, et al. Research on risk evaluation model of construction processes in mountain area expressways[J]. Journal of China & Foreign Highway, 2019, 39(3): 303-307. [9] RAHMAN M M, STRAWDERMAN L, GARRISON T, et al. Work zone sign design for increased driver compliance and worker safety[J]. Accident Analysis & Prevention, 2017, 106: 67-75. [10] KLINE R B.Principles and practice of structural equation modeling 2nd ed[M].New York:Guilford Publications,2005. [11] HAIR J F,BLACK W C,Babin B J,et al.Análise multivariada de dados[M].Porto Alegre:Bookman Editora,2009. [12] FORNELL C, LARCKER D F. Evaluating structural equation models with unobservable variables and measurement error[J]. Journal of Marketing Research, 1981, 18(1): 39. [13] DOLL W J, XIA W D, TORKZADEH G. A confirmatory factor analysis of the end-user computing satisfaction instrument[J]. MIS Quarterly, 1994, 18(4): 453. [14] BAUMGARTNER H, HOMBURG C. Applications of structural equation modeling in marketing and consumer research: a review[J]. International Journal of Research in Marketing, 1996, 13(2): 139-161.

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