煤炭运输网络结构鲁棒性评价及应用研究

摘要/Abstract

摘要：

煤炭运输网络是包括铁路、公路、水路运输等多种方式的复杂网络，处于动态、开放的环境中并受各种不确定因素影响.为了更好地测度煤炭运输网络抵御破坏的能力，提高煤炭运输网络的结构鲁棒性,本文基于煤炭运输网络特性,在分析影响结构鲁棒性的内部和外部因素的基础上,定义了煤炭运输网络的结构鲁棒性,建立了煤炭运输网络结构鲁棒性评价指标体系，并以山西煤炭运输网络为算例进行仿真分析.结果表明，煤炭运输网络对于边随机破坏和按照度攻击，表现出较好的里程可达鲁棒性和效能鲁棒性；随机攻击节点和按照度攻击节点时，网络的结构熵鲁棒性变化不明显；对网络进行攻击的同时以一定的概率修复网络,网络呈现出较好的恢复鲁棒性.

关键词: 综合交通运输, 结构鲁棒性, 鲁棒性评价, 煤炭运输网络, 恢复鲁棒性, 效能鲁棒性, 评价指标

Abstract:

Coal transportation network is a complex network including railway, highway, waterway and other transportation modes. It is in the dynamic and open environment and vulnerable to the uncertain factors. To effectively measure the ability of coal transportation network to resist destruction, and improve the structural robustness of coal transportation network, this paper defines the structural robustness of coal transportation network based on the characteristics of coal transportation network and analyzing the internal and external factors influencing structural robustness. It also establishes the evaluation index system of structural robustness of the coal transport network and takes Shanxi coal transportation network as an example for simulation analysis. The results indicate that the coal transportation network shows better robustness of mileage up and performance robustness for stochastic damage to the edge and attack in accordance with the degree. When the attacking nodes are random distributed or the nodes are attacked in accordance with the degrees, the changes of robustness in network structure entropy are not apparent. When attacking the network with repairing network with a certain probability at the same time, the network shows a good recovery robustness.

Key words: integrated transportation, structural robustness, robustness evaluation, coal transportation network, recovery robustness, performance robustness, evaluation index

中图分类号:

F224

乔金锁，王喜富，沈喜生，石亮. 煤炭运输网络结构鲁棒性评价及应用研究[J]. 交通运输系统工程与信息, 2013, 13(4): 126-133.

QIAO Jin-suo, WANG Xi-fu, SHEN Xi-sheng, SHI Liang. Robustness Evaluation and Application of Structure of Coal Transportation Network[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(4): 126-133.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/abstract/abstract18623.shtml

http://www.tseit.org.cn/CN/Y2013/V13/I4/126

参考文献

[1]程风禹,刘金妹,翟补栓. 浅析山西煤炭外运发展现状[J].物流科技, 2009(04):12-14. [CHENG F Y, LIU J M, ZHAI B S. Analysis on the development status of Shanxi coal outflow[J]. Logistics Technology, 2009(04):12-14.]

[2]管小俊. 煤炭物流运输网络风险评价及均衡保持关键问题研究[D]. 北京:北京交通大学, 2010. [GUAN X J. Research on the key issues of risk assessment and balance maintenance of coal logistics transportation network[D]. Beijing: Beijing Jiaotong University, 2010.]

[3]Kwon Y K, Cho K H. Analysis of feedback loops and robustness in network evolution based on Boolean models[J]. BMC Bioinformatics, 2007, 8 (9): 430-438.

[4]接婧. 国际学术界对鲁棒性的研究[J]. 系统工程学报, 2005, 20(2):153-159. [JIE J. Research on the robustness of the international academic circle[J]. Journal of Systems Engineering，2005, 20(2):153-159.]

[5]张俊良. 复杂网络可靠性研究[D]. 大连:大连理工大学, 2006. [ZHANG J L. Reliability of complex networks[D]. Dalian: Dalian University of Technology, 2006.]

[6]佘东. 复杂网络的相继故障及其鲁棒性研究[D]. 广西：广西师范大学, 2009. [SHE D. Research on cascading failure and robustness in complex networks[D]. Guangxi: Guangxi Normal University, 2009.]

[7]辛玉红. 供应链系统鲁棒性研究[D]. 北京:中国航天第二研究院, 2008. [XIN Y H. Research on robust supply chain system[D]. Beijing: The Second Academy of China Aerospace, 2008.]

[8]黄建华.快递网络的复杂性及鲁棒性研究[J].西南交通大学学报, 2009, 10(6):98-102. [HUANG J H. Study on the complexity and robustness of express network[J]. Journal of Southwest Jiao Tong University, 2009, 10(6):98-102.]

[9]段后利. 城市公交网络的鲁棒性分析模型[J]. 华南理工大学学报, 2010, 38(3):70-76. [DUAN H L. The robustness analysis model of the city public traffic network[J]. Journal of South China University of Technology, 2010, 38(3):70-76.]

[10]杜巍,蔡萌，等. 网络结构鲁棒性指标及应用研究[J]. 西安交通大学学报,2010(04):94-95. [DU W, CAI M，et al. The indicators and application of network structure robustness[J]. Journal of Xi’an Jiao Tong University， 2010(04):94-95.]

[11]姚伟坤, 周梅华，等. 基于均衡供给的煤炭供应链特征研究[J]. 中国矿业大学学报(社会科学版), 2007(3):41-43. [YAO W K, ZHOU M H, et al. Study on the characteristics of coal supply chain based on balanced supply [J]. Journal of China University of Mining and Technology (Social Science Edition), 2007(3):41-43.]

[12]邓贵仕,武佩剑,田炜. 全球航运网络鲁棒性和脆弱性研究[J]. 大连理工大学学报, 2008(9):765-768. [DENG G S,WU P J,TIAN W. The robustness and fragility of the global shipping network[J]. Journal of Dalian University of Technology, 2008(9):765-768.]

[13]R Albert, H Jeong, A L Barabsi. Error and attack tolerance of complex networks[J]. Nature, 2000, 406 (6794) : 378-382.

[14]R Albert, I Albert, G L Nakarado. Structural vulnerability of the North American power grid[J]. Physical Review E, 2004, 69(2): 025103(1) -025103(4).

[1]	左大杰，肖国胜，王孟云. 产业转移背景下西部运输需求的完全分解模型[J]. 交通运输系统工程与信息, 2020, 20(5): 15-20.
[2]	冯涛，彭其渊，陶思宇，陈昕梅. 站城融合模式下既有铁路车站城市功能开发体量预测研究[J]. 交通运输系统工程与信息, 2020, 20(5): 21-28.
[3]	叶菲菲，杨隆浩，王应明，蓝以信. 基于数据包络分析和扩展置信规则库的交通运输业环境治理成本预测[J]. 交通运输系统工程与信息, 2020, 20(3): 20-27.
[4]	周晓晔，崔瑶，何亮，马小云，王思聪. 基于地铁—货车联运的物流配送路径优化[J]. 交通运输系统工程与信息, 2020, 20(3): 111-117.
[5]	骆晨，李想，钟林峰，胡姗姗. 基于家庭属性差异的大学生出行方式选择行为研究[J]. 交通运输系统工程与信息, 2020, 20(3): 227-232.
[6]	诸立超，刘昭然. 托运人在不同时空下的选择行为差异揭示[J]. 交通运输系统工程与信息, 2020, 20(1): 27-32.
[7]	项昀，徐铖铖，于维杰，华雪东，王炜. 基于人口迁徙大数据的城市对外交通客运方式优势出行距离研究[J]. 交通运输系统工程与信息, 2020, 20(1): 241-246.
[8]	申婵，崔洪军. 基于可靠性最短路的实时定制公交线路优化研究[J]. 交通运输系统工程与信息, 2019, 19(6): 99-104.
[9]	莫杨辉，张培林，谢羽盟. 新型城镇化与综合交通发展的互动关系计量研究[J]. 交通运输系统工程与信息, 2019, 19(5): 13-19.
[10]	李珺，杨斌，朱小林. 混合不确定条件下绿色多式联运路径优化[J]. 交通运输系统工程与信息, 2019, 19(4): 13-19.
[11]	付晓，顾宇，刘志远. 多模式公交网络中考虑定制公交的活动与出行建模[J]. 交通运输系统工程与信息, 2019, 19(4): 20-27.
[12]	彭宏勤，张国伍. 新型城镇化背景下的新区交通规划理论方法探讨 ——“交通7+1论坛”第五十四次会议[J]. 交通运输系统工程与信息, 2019, 19(3): 1-4.
[13]	郭丽彬，李健，张文. 考虑网络外部性航运商与无车承运人竞合研究[J]. 交通运输系统工程与信息, 2019, 19(3): 11-18.
[14]	栾鑫，程琳，俞微薇，周洁. 综合运输层次下多交通模式的耦合协调性分析[J]. 交通运输系统工程与信息, 2019, 19(3): 27-33.
[15]	毛保华，曾玮，李佳杰. 一种基于联运产品服务效率的运输收益清算方法[J]. 交通运输系统工程与信息, 2019, 19(3): 34-40.