城市科学 |
|
|
|
|
基于加权流量介数中心性的路网脆弱性分析——以无锡市为例 |
杜佳昕1,2, 张丰1,2, 杜震洪1,2, 刘仁义1,2 |
1.浙江大学 浙江省资源与环境信息系统重点实验室,浙江 杭州 310028 2.浙江大学 地理信息科学研究所, 浙江 杭州 310027 |
|
Assessing vulnerability of road networks based on traffic flow betweenness centrality: A case study in Wuxi |
DU Jiaxin1,2, ZHANG Feng1,2, DU Zhenhong1,2, LIU Renyi1,2 |
1.Zhejiang Provincial Key Lab of GIS, Zhejiang University, Hangzhou 310028, China 2.Department of Geographic Information Science, Zhejiang University, Hangzhou 310027, China |
引用本文:
杜佳昕, 张丰, 杜震洪, 刘仁义. 基于加权流量介数中心性的路网脆弱性分析——以无锡市为例[J]. 浙江大学学报(理学版), 2020, 47(2): 223-230.
DU Jiaxin, ZHANG Feng, DU Zhenhong, LIU Renyi. Assessing vulnerability of road networks based on traffic flow betweenness centrality: A case study in Wuxi. Journal of Zhejiang University (Science Edition), 2020, 47(2): 223-230.
链接本文:
https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2020.02.013
或
https://www.zjujournals.com/sci/CN/Y2020/V47/I2/223
|
1 刘承良,余瑞林,曾菊新,等. 武汉城市圈城乡道路网的空间结构复杂性[J]. 地理科学, 2012, 32(4):426-433. DOI:10.13249/j.cnki.sgs.2012.04.005 LIUC L, YUR L, ZENGJ X, et al. Complexity of spatial structure on the urban-rural road network in Wuhan metropolitan area[J]. Scientia Geographica Sinica, 2012, 32(4): 426-433. 2 李彤玥. 基于“暴露—敏感—适应”的城市脆弱性空间研究—以兰州市为例[J]. 经济地理, 2017,37(3): 86-95. LIT Y. Spatial vulnerability based on the framework of the exposure-sensitivity-adaptive capacity: A case study of Lanzhou[J]. Economic Geography, 2017,37(3): 86-95. 3 JENELIUSE, PETERSENT, MATTSSONL G. Importance and exposure in road network vulnerability analysis[J]. Transportation Research Part A : Policy & Practice, 2006, 40(7): 537-560.DOI:10.1016/j.tra.2005.11.003 4 MURRAYA T, MATISZIWT C, GRUBESICT H. A methodological overview of network vulnerability analysis[J]. Growth and Change, 2008, 39(4): 573-592.DOI:10.1111/j.1468-2257.2008.00447.x 5 MURRAYA T. An overview of network vulnerability modeling approaches[J]. Geo Journal, 2013, 78(2): 209-221.DOI:10.1007/s10708-011-9412-z 6 BERDICAK. An introduction to road vulnerability: what has been done, is done and should be done[J]. Transport Policy, 2002, 9(2): 117-127. DOI:10.1016/s0967-070x(02)00011-2 7 CANTILLOV, MACEAL F, JALLERM. Assessing vulnerability of transportation networks for disaster response operations[J]. Networks & Spatial Economics, 2019,19(1):243-273.DOI:10.1007/s11067-017-9382-x 8 赖君毅. 道路交通网络脆弱性评估验证及其可视化方法研究[D]. 武汉:华中科技大学, 2013. LAIJ Y. Road Traffic Network Vulnerability Assessment, Validation and Its Visualization Method[D]. Wuhan: Huazhong University of Science and Technology, 2013. 9 张勇,屠宁雯,姚林泉. 城市道路交通网络脆弱性辨识方法[J]. 中国公路学报, 2013, 26(4): 154-161.DOI:10.19721/j.cnki.1001-7372.2013.04.021 ZHANGY, TUN Y, YAOL Q. Urban road traffic network vulnerability identification method[J]. China Journal of Highway and Transport, 2013, 26(4): 154-161. DOI:10.19721/j.cnki.1001-7372.2013.04.021 10 VILJOENN M, JOUBERTJ W. The road most travelled: The impact of urban road infrastructure on supply chain network vulnerability[J]. Networks & Spatial Economics, 2018, 18(1): 85-113.DOI:10.1007/s11067-017-9370-1 11 DEMŠARU, ŠPATENKOVÁO, VIRRANTAUSK. Centrality measures and vulnerability of spatial networks[J]. Proceedings Intelligent Human Computer Systems for Crisis Response and Management , 2007:201-209. 12 ROSVALLM, TUSINAA, MINNHAGENP, et al. Networks and cities: An information perspective[J]. Physical Review Letters, 2005, 94(2): 028701. 13 陆化普,石冶. 三亚市道路网络复杂性研究[J]. 公路工程, 2010, 35(6): 18-21,25. LUH P, SHIZ. Research of complexity of urban road networks of Sanya[J]. Highway Engineering, 2010, 35(6): 18-21,25. 14 WANGL, WEIL, ZHANGY Z, et al. Node importance assessment of traffic complex network based on c-means clustering[J]. Advanced Materials Research, 2011(211-212): 963-967. 15 GRIFFITHD A, CHUNY W. Spatial autocorrelation in spatial interactions models: Geographic scale and resolution implications for network resilience and vulnerability[J]. Networks & Spatial Economics, 2015, 15(2): 337-365.DOI:10.1007/s11067-014-9256-4 16 BRANDESU, FLEISCHERD. Centrality measures based on current flow[J]. Lecture Notes in Computer Science, 2005(3404): 533-544.DOI:10.1007/978-3-540-31856-9_44 17 叶青,彭其渊. 考虑客流拥堵的城轨网络脆弱性评估[J]. 计算机应用研究, 2016, 33(10): 2923-2925, 2945. YEQ, PENGQ Y. Vulnerability analysis of urban rail transit network based on passenger crowding[J]. Application Research of Computers, 2016, 33(10): 2923-2925,2945. 18 刘海旭,荣新. 基于路段流量分析的路网脆弱性研究[J]. 综合运输, 2017, 39(11): 63-67. LIUH X, RONGX. Road traffic network vulnerability study based on link flow analysis[J]. China Transportation Review, 2017, 39(11): 63-67. 19 付跃龙. 基于级联失效的道路网络脆弱性研究[D]. 武汉:华中科技大学, 2015. FUY L. Vulnerability of Urban Road Network Based on Cascade Defense[D]. Wuhan: Huazhong University of Science and Technology, 2015. 20 KERNERB S, DEMIRC, HERRTWICHR G, et al. Traffic state detection with floating car data in road networks[C]//Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems. New York: IEEE, 2005: 44-49. DOI:10.1109/itsc.2005.1520133 21 高中华,李满春,陈振杰,等. 城市道路网络的小世界特征研究[J]. 地理与地理信息科学, 2007, 23(4): 97-101. GAOZ H, LIM C, CHENZ J, et al. Research on small world characteristic of urban road network[J]. Geography and Geo-Information Science, 2007, 23(4): 97-101. 22 FREEMANL C. Centrality in social networks conceptual clarification[J]. Social Networks, 1978, 1(3): 215-239. DOI:10.1016/0378-8733(78)90021-7 23 FREEMANL C. A set of measures of centrality based on betweenness[J]. Sociometry, 1977, 40(1): 35-41. DOI:10.2307/3033543 24 胡一竑,吴勤旻,朱道立. 城市道路网络的拓扑性质和脆弱性分析[J]. 复杂系统与复杂性科学, 2009, 6(3): 69-76. DOI:10.13306/j.1672-3813.2009.03.008 HUY H, WUQ W, ZHUD L. Topological properties and vulnerability analysis of spatial urban street networks[J]. Complex Systems and Complexity Science, 2009, 6(3): 69-76. DOI:10.13306/j.1672-3813.2009.03.008 25 ÁLVAREZ-MIRANDAE, CANDIA-VÉJARA, CARRIZOSAE, et al. Vulnerability assessment of spatial networks: Models and solutions[C]// International Symposium on Combinatorial Optimization. Switzerland: Springer International Publishing, 2014:433-444. DOI:10.1007/978-3-319-14115-2_37 26 KHOSROWD. Density estimation for statistics and data analysis[J]. Technometrics, 1986, 29(4):495. 27 BRANDESU. A faster algorithm for betweenness centrality[J]. Journal of Mathematical Sociology, 2001, 25(2): 163-177.DOI:10.1080/0022250x.2001.9990249 28 无锡市统计局.无锡统计年鉴[M].北京:中国统计出版社,2018. Wuxi Bureau of Statistic. Wuxi Statistical Year Book[M]. Beijing: China Statistic Press, 2018. 29 刘张,王心迪,闫小勇. 面向复杂城市道路网络的GPS轨迹匹配算法[J]. 电子科技大学学报, 2016, 46(6): 1008-1013. LIUZ, WANGX D, YANX Y. Map-matching algorithm for gps trajectories in complex urban road networks[J]. Journal of University of Electronic Science and Technology of China, 2016, 46(6): 1008-1013. 30 PETTYK F, BICKELP, OSTLANDM, et al. Accurate estimation of travel times from single-loop detectors [J]. Transportation Research Part A: Policy & Practice, 1998,32(1): 1-17.DOI:10.1016/s0965-8564(97)00015-3 31 KESTINGA, TREIBERM. Traffic Flow Dynamics: Data, Models and Simulation[M]. Heidelberg: Springer, 2013. 32 刘丽,张丰,杜震洪,等. 基于深圳市出租车轨迹数据的高效益寻客策略研究[J]. 浙江大学学报(理学版), 2018, 45(1): 82-91.DOI:10.3785/j.issn.1008-9497.2018.01.013 LIUL, ZHANGF, DUZ H, et al. The analysis of high profitable strategy for seeking passengers based on taxi GPS trajectory data of Shenzhen city[J]. Journal of Zhejiang University(Science Edition), 2018, 45(1): 82-91.DOI:10.3785/j.issn.1008-9497.2018.01.013 |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|