Analysis of Public Bus Transportation of a Brazilian City Based on the Theory of Complex Networks Using the P-Space

Bona, Anderson Andrei De; Fonseca, Keiko V. O.; Rosa, Marcelo de Oliveira; Lüders, Ricardo; Delgado, M.

doi:10.1155/2016/3898762

Cited by 35 publications

(24 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A URT system can be represented in a straightforward way when the stations are represented by nodes and the edges correspond to the physical connections between stations. It is possible to construct different networks, such as L-space, B-space, P-space and C-space networks [58]; however, L-space and P-space [59,60] networks are more common for analysing transportation networks.…”

Section: Urt Network Topologymentioning

confidence: 99%

Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective

et al. 2019

View full text Add to dashboard Cite

Urban rail transit (URT) systems are critical to modern public transportation services. Unfortunately, disruptions in URT systems can lead to dysfunction and threaten sustainable development. This study analyses URT network sustainability from a vulnerability perspective. Two network attack scenarios, including random attacks and intentional attacks, are designed to assess different kinds of disruptions to URT networks. Under random attacks, nodes are randomly removed from the network. In contrast, under intentional attacks, key nodes are identified and removed based on topological metrics and passenger flow volume. Then, URT network vulnerability is evaluated by quantifying the changes in network efficiency and structural integrity under the network attacks from a spatio-temporal point of view. The real-world case of the Shanghai URT system from 1993 to 2020 is used to illustrate the vulnerability in the evolution of the URT system. The results indicate that the URT network is increasingly fault-tolerant and structurally robust over time. The URT network is more vulnerable to intentional attacks than to random failures. Additionally, there are significant spatial differences in the vulnerability of Shanghai URT network. Stations in the central activity zone (CAZ) are more fault-tolerant and robust than stations located outside of the CAZ. Furthermore, stations with large centrality and greater passenger flow volumes and lines with many key nodes and greater passenger flow volumes, are vulnerable to disruptions in the URT networks. This study provides a new index to comprehensively quantify node centrality; it also fills a research gap by analysing the vulnerability of URT networks based on both longitudinal and spatial patterns. Finally, this paper highlights significant practical implications for the sustainable development of URT networks, as well as the sustainable development of public transportation services.

show abstract

Section: Urt Network Topologymentioning

confidence: 99%

Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Thus, in the Pspace representation, the fully connected subgraphs of all stops along a route constitute local cliques, and these local cliques are shared between routes through the common nodes. Hence, the nodes with a low degree and a high clustering coefficient belong to a fully connected local clique, whereas the nodes with a high degree and a low clustering coefficient connect multiple local cliques, reflecting that hubs act as coordinating points for several routes [16], [23], [24], [25], [44]. Thus, the distribution of C i (k) gives an indication on how the clustering is organized for nodes of various degrees.…”

Section: Network Cohesivenessmentioning

confidence: 99%

“…[48], [49] for details on the basic rewiring approaches. Some reported works have attempted to use (12) to test the small-worldness of public transport networks by verifying σ > 1, but such results have been found to deliver misleading conclusions [11], [16], [24], [25], [37]. In our previous work [13], we adopted Telesford et al's method to evaluate the small-world property of bus transport networks, and the results of two networks are shown here in Fig.…”

Section: E Small-worldness In Public Transport Networkmentioning

confidence: 99%

Recent Development in Public Transport Network Analysis From the Complex Network Perspective

Shanmukhappa

Tse

et al. 2019

IEEE Circuits Syst. Mag.

View full text Add to dashboard Cite

A graph, comprising a set of nodes connected by edges, is one of the simplest yet remarkably useful mathematical structures for the analysis of real-world complex systems. Network theory, being an application-based extension of graph theory, has been applied to a wide variety of realworld systems involving complex interconnection of subsystems. The application of network theory has permitted in-depth understanding of connectivity, topologies, and operations of many practical networked systems as well as the roles that various parameters play in determining the performance of such systems. In the field of transportation networks, however, the use of graph theory has been relatively much less explored, and this motivates us to bring together the recent development in the field of public transport analysis from a graph theoretic perspective. In this paper, we focus on ground transportation, and in particular the bus transport network (BTN) and metro transport network (MTN), since the two types of networks are widely used by the public and their performances have significant impact to people's life. In the course of our analysis, various network parameters are introduced to probe into the impact of topologies and their relative merits and demerits in transportation. The various local and global properties evaluated as part of the topological analysis provide a common platform to comprehend and decipher the inherent network features that are partly encoded in their topological properties. Overall, this paper gives a detailed exposition of recent development in the use of graph theory in public transport network analysis, and summarizes the key results that offer important insights for government agencies and public transport system operators to plan, design, and optimize future public transport networks in order to achieve more efficient and robust services.

show abstract

“…Public transport network is also a special complex network. Transportation stations or hubs constitute nodes, and transportation routing constitutes the relationship between nodes [17][18][19][20]. As a part of an urban public transport network, the study of the metro network includes the modeling of urban metro network, and on this basis, the structural parameters and the relationship between the metro network and traffic are analyzed.…”

Section: Introductionmentioning

confidence: 99%

Space‒Time Evolution Analysis of the Nanjing Metro Network Based on a Complex Network

Wei

Yan

2019

Sustainability

View full text Add to dashboard Cite

Many cities in China have opened a subway, which has become an important part of urban public transport. How the metro line forms the metro network, and then changes the urban traffic pattern, is a problem worthy of attention. From 2005 to 2018, 10 metro lines were opened in Nanjing, which provides important reference data for the study of the spatial and temporal evolution of the Metro network. In this study, using the complex network method, according to the opening sequence of 10 metro lines in Nanjing, space L and space P models are established, respectively. In view of the evolution of metro network parameters, four parameters—network density, network centrality, network clustering coefficient, and network average distance—are proposed for evaluation. In view of the spatial structure change of the metro network, this study combines the concept of node degree in a complex network, analyzes the starting point, terminal point, and intersection point of metro line, and puts forward the concepts of star structure and ring structure. The analysis of the space‒time evolution of Nanjing metro network shows that with the gradual opening of metro lines, the metro network presents a more complex structure; the line connection tends to important nodes, and gradually outlines the city’s commercial space pattern.

show abstract

Analysis of Public Bus Transportation of a Brazilian City Based on the Theory of Complex Networks Using the P-Space

Cited by 35 publications

References 32 publications

Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective

Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective

Recent Development in Public Transport Network Analysis From the Complex Network Perspective

Space‒Time Evolution Analysis of the Nanjing Metro Network Based on a Complex Network

Contact Info

Product

Resources

About