Topological evolution of public transportation network: A case study of Bangkok rail transit network

Bangxang, Pijaya Na; Jarumaneeroj, Pisit

doi:10.1109/iea.2018.8387135

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…The logistic equation of the urban rail transit network evolution level can be derived by substituting Equations ( 10) and (11) into Equation (12):…”

Section: Logistic Function Of Urban Rail Transit Network Evolution Levelmentioning

confidence: 99%

“…Cats 11 conducted a longitudinal analysis of the topological evolution of a multimodal rail network by investigating the dynamics of its topology for the case of Stockholm in 1950–2025. Bangxang and Jarumaneeroj 12 selected network diameter, gamma index, degree centrality, tightness center, and intermediate center to study the topological evolution of the Bangkok rail transit network from 1999 to 2029. Yang and Chen 13 analyzed and studied the development trend of Shanghai's urban rail transit network from 1993 to 2020 by using six typical topological indexes and proposed two network expansion modes to represent the evolution process.…”

Section: Introductionmentioning

confidence: 99%

“…The results show that the evolution process of the urban rail transit network is related to the proportion of transfer nodes and ordinary nodes in the network. The evolution of the urban rail transit network is divided into three stages 12–14 …”

Section: Introductionmentioning

confidence: 99%

“…The evolution of the urban rail transit network is divided into three stages. [12][13][14] However, most of the above studies on the evolution of the urban rail transit network focus on the statistical analysis of the surface phenomena of network evolution, the induction and summary of the laws, and the simulation research on this basis. These studies are mainly based on the exploration and discovery of phenomena, which belongs to practical research.…”

mentioning

confidence: 99%

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Research on evolution dynamics of urban rail transit network based on allometric growth relationship

Zhang

Shen

Jia

et al. 2023

Math Methods in App Sciences

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Each stage of the construction of the rail transit network has unique dynamic characteristics. It can provide recommendations for rail transit network planning and phased construction by evaluating the degree of evolution of the urban rail transit network and dividing the evolution stages precisely. Starting from the allometric growth relationship between transfer nodes and ordinary nodes in the urban rail transit network, this paper defines the evolution level of the rail transit network and the growth rate difference between transfer nodes and ordinary nodes and deduces the dynamic logistic equation of URT network evolution level using the mathematical derivative and logarithmic relationship. This paper reveals the dynamic law of the evolution process of the urban rail transit network at a theoretical level, analyzes the dynamic evolution process on this basis, determines the threshold for phasing the evolution stage, and divides it into four evolution stages. Finally, the results of the theoretical derivation are validated by the evolution data of the Beijing Rail Transit Network (1984–2020) over 45 years. The verification results are substantially congruent with the conclusions of the theoretical derivation, demonstrating the accuracy of the theoretical model and its practical usefulness in directing the building of the rail transit network.

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“…The logistic equation of the urban rail transit network evolution level can be derived by substituting Equations ( 10) and (11) into Equation (12):…”

Section: Logistic Function Of Urban Rail Transit Network Evolution Levelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Research on evolution dynamics of urban rail transit network based on allometric growth relationship

Zhang

Shen

Jia

et al. 2023

Math Methods in App Sciences

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Analysis of Public Transport System Efficiency Based on Multi-layer Network

Yang

et al. 2020

Lecture Notes in Computer Science

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An evolution of the Global Container Shipping Network: port connectivity and trading community structure (2011–2017)

Jarumaneeroj,

Barnett Lawton,

Svindland

2023

Marit Econ Logist

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Port connectivity and trading community structure are two fundamental network characteristics that complement one another in explaining the evolution of maritime transport networks. Although port connectivity has been widely studied in the literature, the investigations on trading community structures are rather limited. To better fill this gap, this paper aims to provide a more complete picture of the Global Container Shipping Network (GCSN)’s evolution, based on our earlier works in MEL. In doing so, the GCSN, representing a snapshot of trade at the end of each quarter, from Q3/2011 to Q3/2017, is first constructed. The connectivity of ports and their respective trading communities are then extracted by the Container Port Connectivity Index and the Louvain algorithm, respectively. With our proposed framework, related players would be able to understand the growth of GCSN, as well as the impacts of maritime occurrences on the network of container shipping. Our computational results indicate that port connectivity and trading community structure gradually evolve according to the economic conditions that change over time and the evolution of GCSN could be well explained by these two explanatory variables. In this regard, ports in East Asia consistently dominate others in terms of both inbound and outbound connectivity, led by Shanghai and other major ports of mainland China. Furthermore, the formation of trading communities largely depends on trading patterns—rather than geographical locations—which is evident from the insolvency and mergers of communities in the North American region right after the expansion of the Panama Canal in 2016.

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Topological evolution of public transportation network: A case study of Bangkok rail transit network

Cited by 3 publications

References 8 publications

Research on evolution dynamics of urban rail transit network based on allometric growth relationship

Research on evolution dynamics of urban rail transit network based on allometric growth relationship

Analysis of Public Transport System Efficiency Based on Multi-layer Network

An evolution of the Global Container Shipping Network: port connectivity and trading community structure (2011–2017)

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