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[1]戢晓峰,普永明,张雪,等.中国区域物流系统脆弱性评估研究[J].中国安全生产科学技术,2017,13(8):80-86.[doi:10.11731/j.issn.1673-193x.2017.08.013]
　JI Xiaofeng,PU Yongming,ZHANG Xue,et al.Vulnerability assessment on regional logistics system in China[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(8):80-86.[doi:10.11731/j.issn.1673-193x.2017.08.013]
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中国区域物流系统脆弱性评估研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
13
期数:
2017年8期
页码:
80-86
栏目:
现代职业安全卫生管理与技术
出版日期:
2017-08-31

文章信息/Info

Title:
Vulnerability assessment on regional logistics system in China
文章编号:
1673-193X(2017)-08-0080-07
作者:
戢晓峰1; 2; 普永明1; 2; 张雪1; 李杰梅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.云南综合交通发展与区域物流管理智库，云南 昆明 650504）
Author(s):
JI Xiaofeng1; 2;  PU Yongming1; 2;  ZHANG Xue1;  LI Jiemei1; 2;  WU Jingqiong1; 2
(1. Faculty of Traffic Engineering, Kunming University of Science and Technology, Kunming Yunnan 650504, China; 2. Yunnan Integrated Transport Development and Regional Logistics Management Think Tank, Kunming Yunnan 650504, China)
关键词:
物流系统脆弱性; 复杂系统; 区域物流; 空间分异
Keywords:
logistics system vulnerability;  complex system;  regional logistics;  spatial variation
分类号:
X913.4；F252.8
DOI:
10.11731/j.issn.1673-193x.2017.08.013
文献标志码:
A
摘要:
为了提升区域物流系统可靠性与可持续发展能力，基于复杂系统理论对区域物流系统脆弱性进行概念界定，构建了区域物流系统脆弱性的概念模型；在分析区域物流系统脆弱性影响因素的基础上，提出了脆弱性评价指标体系及综合评价模型，并对中国大陆地区31个省（直辖市、自治区）区域物流系统脆弱性的空间分异特征进行了研究。研究表明：全国层面的区域物流系统脆弱性两极分化的空间分异特征显著，具有明显的“西高东低”特征；高生态环境脆弱性和高社会脆弱性是区域物流系统脆弱性居高的主要原因；全国的区域物流系统生态环境脆弱性普遍偏高，而东部地区物流系统资源脆弱性最高。
Abstract:
To improve the reliability and sustainable development capacity of regional logistics system, the concept of regional logistics system vulnerability was defined based on the complex system theory, and a conceptual model of regional logistics system vulnerability was constructed. Based on analyzing the influence factors of regional logistics system vulnerability, the evaluation index system and the comprehensive evaluation model of vulnerability were put forward, and the spatial variation characteristics of regional logistics system vulnerability for 31 provinces (municipalities, autonomous regions) in China were studied. The results showed that the spatial variation characteristic of polarization at the national level was obvious, with the obvious characteristic of "west high and east low". The high ecological environment vulnerability and high society vulnerability were the main reasons of high regional logistics system vulnerability. The ecological environment vulnerability of the national regional logistics system was generally higher, and the resource vulnerability of logistics system in the eastern region was the highest.

参考文献/References:

［1］XIN Kunlun, Tao Tao, Wang Yong, et al. Hazard and vulnerability evaluation of water distribution system in cases of contamination intrusion accidents ［J］. Frontiers of Environmental Science, 2012, 6(6): 839-848.
［2］Noriega G R, Ludwig L G. Social vulnerability assessment for mitigation of local earthquake risk in Los Angeles County ［J］. Natural Hazards, 2012, 64(2): 1341-1355.
［3］Huang Jianyi, Liu Yi, Ma Li, et al. Methodology for the assessment and classification of regional vulnerability to natural hazards in China: The application of a DEA model ［J］. Natural Hazards, 2013, 65(1): 115-134.
［4］王志强,徐瑞华.基于复杂网络的轨道交通路网可靠性仿真分析［J］.系统仿真学报, 2009,21(20):6670-6674. WANG Zhiqiang, XU Ruihua．Reliability simulation analysis of urban rail transit networks based on complex network［J］.Journal of System Simulation,2009,21(20): 6670-6674.
［5］袁朋伟,宋守信,董晓庆,等. 城市轨道交通系统脆弱性因素辨识模型研究［J］.交通运输系统工程与信息,2014,14(5):110-118. YUAN Pengwei, SONG Shouxin, DONG Xiaoqing. Vulnerability identification model of urban rail transit system［J］. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(5):110-118.
［6］叶青.基于复杂网络理论的轨道交通网络脆弱性分析［J］.中国安全科学学报, 2012,22(2):122-126. YE Qing. Vulnerability analysis of rail transit based on complex network theory ［J］.China Safety Science Journal, 2012, 22 (2):122-126.
［7］尹洪英,徐丽群.道路交通网络脆弱性评估研究现状与展望［J］.交通运输系统工程与信息,2010,10(3):7-13. YIN Hongying, XU Liqun. Vulnerability assessment of transportation road networks［J］. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(3):7-13.
［8］Scott D M, Novak D C, Aultman-Hall L, et al. Network robustness index: A new method for identifying critical links and evaluating the performance of transportation networks ［J］. Journal of Transport Geography, 2006 (14): 215 - 227.
［9］Jenelius E. Network structure and travel patterns: Explaining the geographical disparities of road network vulnerability ［J］. Journal of Transport Geography, 2009(17):234- 244.
［10］陈倬,佘廉.城市物流系统安全性研究—脆弱性及其评价指标集［［J］.武汉理工大学学报(社会科学版), 2007,20(3):286-290. CHEN Zhuo, SHE Lian. Security of city logistics system: vulnerability and its evaluation index system ［J］. Journal of Wuhan University of Technology (Social Science Edition), 2007, 20(3):286-290.
［11］柯锦辉.基于城市脆弱性的物流补救管理体系的研究［D］.武汉:武汉理工大学,2009.
［12］李兆磊,陈波,吴群琪.基于时效性的物流枢纽拓扑结构脆弱性分析［J］.交通运输工程与信息学报, 2014,12(4):32-38. LI Zhaolei, CHEN Bo, WU Qunqi. Vulnerability analysis of logistics hub topology structure based on timeliness［J］. Journal of Transportation Engineering and Information, 2014, 12(4):32-38.
［13］杨晓雁.区域物流系统效应分析［M］.上海:上海财经大学出版社,2011.
［14］方创琳,王岩.中国城市脆弱性的综合测度与空间分异特征［J］.地理学报,2015,70(2):234-247. FANG Chuanglin, WANG Yan. A. Comprehensive assessment of urban vulnerability and its spatial differentiation in China ［J］. Acta Geographica Sinica, 2015, 70(2):234-247.
［15］He Xin, Yang Hua, Gui Xiaolin. The maximum coverage set calculated algorithm for WSN area coverage ［J］.Journal of Networks, 2010, 5(6):650-657.
［16］徐春婕,史天运,王晓冬.基于粗糙集的高铁客运站服务质量评价模型［J］.交通运输系统工程与信息, 2014, 14(2):132-137. XU Chunjie, SHI Tianyun, WANG Xiaodong. Service quality evaluation model for high-speed railway passenger station based on rough set［J］. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(2):132-137.

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备注/Memo

备注/Memo:
云南省应用基础研究重点项目（2015FA019）；云南省省院省校合作社科研究项目（SYSX201611）
更新日期/Last Update: 2017-09-11