|本期目录/Table of Contents|

[1]戢晓峰,谢军,伍景琼.考虑不同侵扰场景的高速公路韧性评估方法[J].中国安全生产科学技术,2019,15(1):12-19.[doi:10.11731/j.issn.1673-193x.2019.01.002]
　JI Xiaofeng,XIE Jun,WU Jingqiong.Assessment method of expressway resilience considering different intrusion scenes[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(1):12-19.[doi:10.11731/j.issn.1673-193x.2019.01.002]
点击复制

考虑不同侵扰场景的高速公路韧性评估方法
分享到：

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年1期
页码:
12-19
栏目:
学术论著
出版日期:
2019-01-31

文章信息/Info

Title:
Assessment method of expressway resilience considering different intrusion scenes
文章编号:
1673-193X(2019)-01-0012-08
作者:
戢晓峰1; 2; 谢军1; 2; 伍景琼1; 2
(1.昆明理工大学 交通工程学院，云南 昆明 650504; 2.云南省现代物流工程研究中心，云南 昆明 650504)
Author(s):
JI Xiaofeng1; 2;  XIE Jun1; 2;  WU Jingqiong1; 2
(1. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming Yunnan 650504, China;2. Yunnan Engineering Research Center of Modern Logistics, Kunming Yunnan 650504, China)
关键词:
交通运输系统工程; 高速公路运行状态; 韧性评估; 高原山区; 侵扰场景
Keywords:
transportation system engineering;  running state of expressway;  resilience assessment;  plateau mountainous area;  intrusion scene
分类号:
X951；U491.2
DOI:
10.11731/j.issn.1673-193x.2019.01.002
文献标志码:
A
摘要:
为分析高速公路应对流量冲击和恶劣气象环境侵扰时的运行状态演变过程，基于韧性理论的系统解析，构建了考虑吸收能力、适应能力、恢复能力3个维度的韧性评估方法；设定重大节假日和恶劣天气2种侵扰场景，与常规场景进行对比分析，并选取滇西高原山区高速公路为实例进行验证。研究结果表明：恶劣天气降低了高速公路的总体韧性，韧性值较常规运行减少685%；重大节假日的流量冲击主要影响高速公路韧性的稳定性，其方差较常规运行增加92%；2种侵扰场景下的恢复能力波动均较大，而重大节假日时高速公路的吸收能力较强。
Abstract:
In order to analyze the evolvement process of the running state of expressway under the intrusion of traffic flow impact and bad weather environment, an assessment method of resilience considering three dimensions of absorptive capacity, adaptive capacity and recovery capacity was constructed based on the systematic analysis of resilience theory. Two intrusion scenes including the major holidays and bad weather were set up and compared with the regular scene, and the expressway in the plateau mountainous area of Western Yunnan was selected as an example to verify the method. The results showed that the bad weather reduced the overall resilience of expressway, and the resilience value decreased by 6.85% compared with the regular running. The flow impact of the major holidays mainly influenced the stability of expressway resilience, whose variance increased by 92% than that of the regular running. Both the recovery capacity under two intrusion scenes fluctuated greatly, and the absorptive capacity of expressway was stronger during the major holidays.

参考文献/References:

［1］CAO MENG. Transportation resilience: A summative review on definition and connotation ［C］// International Conference on Automation, Mechanical Control and Computational Engineering, Paris, 2015: 1127-1132.
［2］沈强. 基于高速公路收费数据的路网运行状态评价［J］. 公路交通科技, 2012, 29(8):118-126. SHEN Qiang. Evaluation of road network operation state based on expressway toll data［J］. Journal of Highway and Transportation Research and Development, 2012, 29(8):118-126.
［3］张续光,高静如,高建平.高速公路雾形成预测研究［J］.中国安全生产科学技术,2015,11(1):173-179. ZHANG Xuguang, GAO Jingru, GAO Jianping. Research on the prediction of Fog formation on expressway［J］. Journal of Safety Science and Technology, 2015,11(1):173-179.
［4］高静如. 雾对高速公路运营危害性评价研究［J］. 重庆交通大学学报(自然科学版), 2013, 32(2):248-251. GAO Jingru. Research on evaluation of fog hazard to expressway operation ［J］. Journal of Chongqing Jiaotong University (Natural Science), 2013, 32(2):248-251.
［5］BARDAL K G. Impacts of adverse weather on Arctic road transport［J］. Journal of Transport Geography, 2017, 59:49-58.
［6］胡建荣, 何磊. 基于尖点突变理论的高速公路交通流状态判别方法［J］. 中国公路学报, 2017, 30(10):137-144. HU Jianrong, HE Lei. Identification method of freeway traffic flow state based on cusp catastrophe theory［J］ China Journal of Highway and Transport, 2017, 30(10):137-144.
［7］El-RASHIDY R A, GRANT-MULLER S M. An assessment method for highway network vulnerability［J］. Journal of Transport Geography, 2014, 34(2):34-43.
［8］GIDARIS I, PADGETT J E, BARBOSA A R, et al. Multiple-Hazard fragility and restoration models of highway bridges for regional risk and resilience assessment in the United States: State-of-the-Art Review［J］. Journal of Structural Engineering, 2016, 143(3):1-17.
［9］CALVERT S C, SNELDER M. A methodology for road traffic resilience analysis and review of related concepts［J］. Transportmetrica A-Transport Science, 2018, 14(1):130-154.
［10］HOLLING C S. Resilience and stability of ecological system［J］. Annual Review of Ecology and Systematics, 1973, 4(4):1-23.
［11］邵亦文, 徐江. 城市韧性:基于国际文献综述的概念解析［J］. 国际城市规划, 2015, 30(2):48-54. SHAO Yiwen, XU Jiang. Urban resilience: Conceptual analysis based on international literature review ［J］. Urban Planning International, 2015, 30(2):48-54.
［12］FRANCIS R, BEKERA B. A metric and frameworks for resilience analysis of engineered and infrastructure systems［J］. Reliability Engineering & System Safety, 2014, 121(1):90-103.
［13］WAN C, YANG Z, ZHANG D, et al. Resilience in transportation systems: a systematic review and future directions［J］. Transport Reviews, 2018, 38(4):479-498.
［14］杨露萍, 钱大琳. 道路交通网络脆弱性研究［J］. 交通运输系统工程与信息, 2012, 12(1):105-110. YANG Luping, QIAN Daling. Research on vulnerability of road network［J］. Journal of Transportation Systems Engineering and Information Technology, 2012, 12(1):105-110.
［15］姜桂艳, 牛世峰, 常安德. 基于检测数据的路网交通运行可靠性分析［J］. 吉林大学学报(工学版), 2011, 41(5):1216-1221. JIANG Guiyan, NIU Shifeng, CHANG Ande. Reliability analysis of road network operation based on detection data ［J］. Journal of Jilin University(Engineering and Technology Edition), 2011, 41(5):1216-1221.
［16］赵新勇, 安实, 丛浩哲. 基于路网抗毁可靠度的交通突发事件态势分析［J］. 交通运输系统工程与信息, 2013, 13(5):79-85. ZHAO Xinyong, AN Shi, CONG Haozhe. Traffic emergencies situation analysis based on road network survivability reliability ［J］. Journal of Transportation Systems Engineering and Information Technology. 2013, 13(5):79-85.
［17］张晨琛, 贾利民. 高速公路网运营风险分析方法研究［J］. 中国安全科学学报, 2016, 26(9):135-139. ZHANG Chenchen, JIA Limin. Research on risk analysis method of expressway network operation ［J］. China Safety Science Journal, 2016, 26(9):135-139.
［18］许秀红, 闫敏慧, 于震宇,等. 道路交通事故气象条件分析及安全等级标准——以黑龙江省为例［J］. 自然灾害学报, 2008, 17(4):53-58. XU Xiuhong, YAN Minhui, YU Zhenyu, et al. Meteorological condition analysis and safety grade standard for road traffic accidents——Taking Heilongjiang Province as an example ［J］. Journal of Natural Disasters, 2008, 17(4):53-58.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期： 2018-12-05；数字出版日期：2019-01-18
基金项目： 国家自然科学基金项目（71563023）；国家重点研发计划项目 (2017YFC0803906)
作者简介： 戢晓峰，博士，教授，主要研究方向为交通安全与交通规划。
更新日期/Last Update: 2019-01-31