摘要
深入分析风险扩散阶段城市群多模式交通网络的动态韧性演化特征,有助于提高城市群风险抵御能力。本研究基于复杂网络理论及其扩展理论,以城市群公路、铁路、航空网络为基础,构建城市群多模式多层次交通网络模型,将节点度、节点介数与可达性相匹配,分析其风险扩散下的静态拓扑特征;以级联失效动力学理论为基础,考虑不同阶段节点初始风险水平、风险预警阈值与风险抵御能力,根据影响风险扩散的节点与连边测度指标,构建风险动态扩散模型;考虑风险冲击下结构、功能变化特征,构建网络结构、功能韧性测度模型,并通过其耦合值表征多模式交通网络韧性性能。以关中平原城市群多模式交通网络为研究对象,运用Python Networkx和Matlab网络分析工具,就不同的风险扩散方式、网络可靠性、冗余性、鲁棒性和节点风险处理能力系数,对风险扩散阶段城市群多模式交通网络的动态韧性演化进行仿真分析。结果表明:模型结果与实际相符,提升网络可靠性、冗余性、鲁棒性和节点风险处理能力,能有效增强网络韧性;相较于基于节点测度的风险扩散方式,基于连边测度的风险扩散方式对韧性性能影响更大,说明线路层次等级分布相较于数量对城市群多模式交通网络的韧性性能影响更大;相较于单一的交通网络,多模式多层次的交通网络韧性性能整体表现更佳。
It can help improve the risk resilience of urban agglomerations to carry out in-depth analysis of the dynamic re⁃silience evolution characteristics of multi-modal transport networks in urban agglomerations during the risk diffusion phase.Based on complex network theory and its extension theory,this study constructed a multi-modal and multi-level transporta⁃tion network model for urban agglomerations based on road,railway and air networks.It matched node degree and node be⁃tweenness with accessibility,and analyzed their static topological characteristics under risk diffusion.Based on the theory of cascading failure dynamics,it considered the initial risk level,risk warning threshold and risk resilience of nodes at different stages,and constructed a risk dynamic diffusion model based on the nodes and connected edge measures affecting risk diffu⁃sion.Considering the characteristics of structural and functional changes under risk shocks,the paper constructed a net⁃work structural and functional resilience measurement model,and the resilience performance of multi-modal transport net⁃works was represented by their coupling values.Using the multi-modal transport network of the Guan-Zhong Plain urban agglomeration as the research object,the Python Networkx and Matlab network analysis tools were used to simulate and ana⁃lyze the dynamic resilience evolution of the multi-modal transport network of the urban agglomeration during the risk diffu⁃sion phase with respect to different risk diffusion methods,network reliability,redundancy,robustness and node risk han⁃dling capacity coefficients.The results show that the model results are consistent with reality.The network resilience can be effectively enhanced by improving network reliability,redundancy,robustness and node risk handling.Compared to the risk diffusion approach based on the node measure,the risk diffusion approach based on the connected edge measure has greater impact on resilience performance,suggesting that the distribution of route hierarchy l
作者
马书红
杨磊
陈西芳
MA Shuhong;YANG Lei;CHEN Xifang(College of Transportation Engineering,Chang’an University,Xi’an 710064,Shaanxi,China;Key Laboratory of Transport Industry of Management,Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area,Xi’an 710064,Shaanxi,China)
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2023年第6期42-51,共10页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(51878062)
陕西省交通厅科技项目(21-13R)。
关键词
交通工程
城市群
多模式交通网络
风险扩散
韧性演化
traffic engineering
urban agglomeration
multi-mode transportation network
risk diffusion
resilience evolution
