Spatial analysis of bus transport networks using network theory

2018 ◽  
Vol 502 ◽  
pp. 295-314 ◽  
Author(s):  
Tanuja Shanmukhappa ◽  
Ivan Wang-Hei Ho ◽  
Chi Kong Tse
Keyword(s):  
Spatial Analysis ◽  
Network Theory ◽  
Transport Networks ◽  
Bus Transport

A study on some urban bus transport networks

2007 ◽  
Vol 376 ◽  
pp. 747-754 ◽  
Author(s):  
Yong-Zhou Chen ◽  
Nan Li ◽  
Da-Ren He
Keyword(s):  
Transport Networks ◽  
Urban Bus ◽  
Bus Transport

Spatial analysis of the reliability of transport networks subject to rainfall-induced landslides

2008 ◽  
Vol 22 (17) ◽  
pp. 3349-3360 ◽  
Author(s):  
L. J. Manning ◽  
J. W. Hall ◽  
C. G. Kilsby ◽  
S. Glendinning ◽  
M. G. Anderson
Keyword(s):  
Spatial Analysis ◽  
Transport Networks

Epidemic dynamics behavior in some bus transport networks

2012 ◽  
Vol 391 (3) ◽  
pp. 917-924 ◽  
Author(s):  
Xu-Hua Yang ◽  
Bo Wang ◽  
Sheng-Yong Chen ◽  
Wan-Liang Wang
Keyword(s):  
Transport Networks ◽  
Epidemic Dynamics ◽  
Bus Transport

STATISTICAL PROPERTIES OF URBAN GROUND BUS-TRANSPORT NETWORKS FROM SELF-AVOIDING RANDOM WALKS

2007 ◽  
Vol 21 (16) ◽  
pp. 1027-1040 ◽  
Author(s):  
YONG-ZHOU CHEN ◽  
NAN LI
Keyword(s):  
Random Walks ◽  
Topological Structure ◽  
Empirical Investigation ◽  
Real Life ◽  
Statistical Properties ◽  
Transport Systems ◽  
Transport Networks ◽  
Simulation Research ◽  
Urban Bus ◽  
Bus Transport

We conjecture that the evolution process with self-avoiding random walks is the origin for the properties of urban ground bus-transport networks (BTN). In order to verify our conjecture, a toy model, which simulates the growth of urban bus-transport systems, is proposed after empirical investigation on the BTNs of four major cities in China. In current empirical and simulation research, our method combining weight and geographical topology of the BTN together allows us to study the coupling relations among the BTN's weighted quantities and underlying topological structure. Finally, the simulating results reveal that the model can reproduce most phenomena observed in real-life urban ground BTNs.

Common network characteristics of four bus transport networks in Northeast China based on a perfect space P

2018 ◽  
Vol 32 (21) ◽  
pp. 1850228 ◽  
Author(s):  
Baoyu Hu ◽  
Yulong Pei ◽  
Jinjun Tang ◽  
Wei Gao
Keyword(s):  
Northeast China ◽  
Path Length ◽  
Gaussian Function ◽  
Edge Weight ◽  
Transport Networks ◽  
Network Characteristics ◽  
Empirical Distributions ◽  
Double Edge ◽  
Perfect Space ◽  
Bus Transport

The space P and space L representation models are often adopted together in the empirical analysis of bus transport networks (BTNs). In this paper, we develop a new representation model for BTNs using double edge weights and node weights, namely perfect space P. The model incorporates the number and lengths of directed routes between the two stations and the number of routes that connect to each station. Based on the model, we develop an empirical study on four large BTNs in Northeast China. Some common network characteristics of the BTNs are revealed and discussed in detail. The results show that several empirical distributions follow an exponential law. Moreover, the unweighted path length distributions can be fitted by a Gaussian function, while the weighted path length distributions can be fitted by a composite Gaussian function. Specifically, we introduce the weighted-degree distribution with different lengths and the special edge weight distribution, given the new evidence for the random behavior during the expansion of BTNs, including new stations and routes.

scholarly journals Zmiany sieci pozamiejskiego publicznego transportu autobusowego w Bieszczadach i Beskidzie Niskim – ujęcie topologiczne

2021 ◽  
Vol 24 (2) ◽  
pp. 106-119
Author(s):  
Ariel Ciechański
Keyword(s):  
Transport Networks ◽  
Complicated Structure ◽  
Topological Approach ◽  
Transport Geography ◽  
Cyclomatic Number ◽  
Elaborate Structure ◽  
Bus Transport

W artykule autor powraca do klasycznych niegdyś w geografii transportu metod grafowych. Wykorzystując podstawowe wskaźniki, takie jak liczba cyklomatyczna μ, wskaźnik α Kansky’ego, wskaźnik γ Kansky’ego i wskaźnik Gns opracowany przez A. Ciechańskiego analizuje zmiany sieci pozamiejskiego autobusowego publicznego transportu zbiorowego na obszarze Beskidu Niskiego i Bieszczad. Testuje też wskaźnik Gns dla bardziej rozbudowanych grafów o skomplikowanej strukturze, w tym również często z bardzo licznymi izolowanymi wierzchołkami. Niestety w przeciwieństwie do prostych i niespójnych sieci transportowych, dla których został on skonstruowany, w przypadku dużych sieci transportowych, zawierających liczne cykle jego czułość wykazuje znacznie gorszy poziom, a otrzymane wyniki są znacznie mniej jednoznaczne niż w przypadku gdy izolowane podgrafy są mniej liczne, za to o bardziej rozbudowanej strukturze. Słowa kluczowe: metody grafowe, wskaźnik Gns, zmiany sieci pozamiejskiego publicznego transportu zbiorowego, Beskid Niski, Bieszczady Changes in the network of the non-urban public bus transport in Bieszczady and Beskid Niski mountains – a topological approach In the article, the author returns to the graph methods which were once classic in the transport geography. Using basic indicators such as the cyclomatic number μ, the α Kansky index, the γ Kansky index and the Gns index developed by A. Ciechański, he analyzes the changes in the network of non-urban public bus transport in the area of the Beskid Niski and the Bieszczady Mountains. He also tests the Gns indicator for more complex graphs with a complicated structure, including often very numerous isolated vertices. Unfortunately, unlike the simple and inconsistent transport networks for which it was created, in the case of large transport networks containing many cycles its sensitivity shows a much worse level and the obtained results are much less unambiguous than in the case when the isolated subgraphs are less numerous, but with the more elaborate structure.

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