Complex network analysis of public transportation networks: a comprehensive study

被引:0
作者
Haznagy, Andor [1 ]
Fi, Istvan [1 ]
London, Andras [2 ]
Nemeth, Tamas [3 ]
机构
[1] Budapest Univ Technol & Econ, Dept Highway & Railway Engn, Budapest, Hungary
[2] Univ Szeged, Dept Computat Optimizat, Szeged, Hungary
[3] Univ Szeged, Dept Comp Algorithms & Artificial Intelligence, Szeged, Hungary
来源
2015 INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS) | 2015年
关键词
Public transportation networks; Network analysis; Empirical analysis; Small-world networks; SUBWAY; CENTRALITY; DYNAMICS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this study, using the network approach, we analyzed the urban public transportation systems of 5 Hungarian cities. We performed a comprehensive network analysis of the systems with the main goal of identifying significant similarities and differences of the transportation networks of these cities. Although previous studies often investigated unweighted networks, one novelty of our study is to consider directed and weighted links, where the weights represent the capacities of the vehicles (bus, tram, trolleybus) in the morning peak hours. In particular, we calculated descriptors of global network characteristic and various centrality measures of the network nodes in both the weighted case and unweighted case. By comparing the results obtained for the different cities, we get a highly detailed picture of the differences in the organization of the public transport, which may due to historical and geographical factors. Also, by comparing the results obtained from the weighted and unweighted approaches, we can identify which are the most sensitive routes and stations of the network pointing out some organizational inconsistencies of the transportation system.
引用
收藏
页码:371 / 378
页数:8
相关论文
共 25 条
[1]   Large subway systems as complex networks [J].
Angeloudis, Panagiotis ;
Fisk, David .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2006, 367 :553-558
[2]   Scale-Free Networks: A Decade and Beyond [J].
Barabasi, Albert-Laszlo .
SCIENCE, 2009, 325 (5939) :412-413
[3]   The anatomy of a large-scale hypertextual Web search engine [J].
Brin, S ;
Page, L .
COMPUTER NETWORKS AND ISDN SYSTEMS, 1998, 30 (1-7) :107-117
[4]   A study on some urban bus transport networks [J].
Chen, Yong-Zhou ;
Li, Nan ;
He, Da-Ren .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2007, 376 :747-754
[5]   Structure and dynamics of core/periphery networks [J].
Csermely, Peter ;
London, Andras ;
Wu, Ling-Yun ;
Uzzi, Brian .
JOURNAL OF COMPLEX NETWORKS, 2013, 1 (02) :93-123
[6]   Network Centrality of Metro Systems [J].
Derrible, Sybil .
PLOS ONE, 2012, 7 (07)
[7]   The complexity and robustness of metro networks [J].
Derrible, Sybil ;
Kennedy, Christopher .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2010, 389 (17) :3678-3691
[8]   CENTRALITY IN SOCIAL NETWORKS CONCEPTUAL CLARIFICATION [J].
FREEMAN, LC .
SOCIAL NETWORKS, 1979, 1 (03) :215-239
[9]   Is the Boston subway a small-world network? [J].
Latora, V ;
Marchiori, M .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2002, 314 (1-4) :109-113
[10]   A local average connectivity-based method for identifying essential proteins from the network level [J].
Li, Min ;
Wang, Jianxin ;
Chen, Xiang ;
Wang, Huan ;
Pan, Yi .
COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2011, 35 (03) :143-150