Network Indicators of Public Bus Transportation Network in Klang Valley and their Correlations

Complex network-based analysis of the real-world system has frequently assisted researchers in providing a crucial and extensive understanding of a variety of interconnected useful data especially on public transportation services. In this paper, we construct a public bus transportation network of eight zones in Klang Valley before evaluating their characteristics based on some network measurements such as average degree and clustering coefficient followed by calculation on five network indicators namely accessibility, centralization, robustness, directness, and service connectivity. These network indicators are helpful in providing extensive analysis of the network performance. Other than that, we also analyse the correlation between the network indicators. It is found that the different network indicator is beneficial in describing the network performance based on different network components and characteristics such as how betweenness centrality and closeness centrality are applied as part of the centralization and accessibility measurement respectively.

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Publication Details

Journal
Semarak International Journal of Fundamental and Applied Mathematics
Published
2024-12-15
DOI
https://doi.org/10.37934/sijfam.4.1.1731
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Network Indicators of Public Bus Transportation Network in Klang Valley and their Correlations

Kar Tim Chan, Umair Abdul Halim, Nur Umaisara Rashid
Semarak International Journal of Fundamental and Applied Mathematics
Transportation Planning and Optimization
article

Network Indicators of Public Bus Transportation Network in Klang Valley and their Correlations

Kar Tim Chan, Umair Abdul Halim, Nur Umaisara Rashid
article en

Abstract

Complex network-based analysis of the real-world system has frequently assisted researchers in providing a crucial and extensive understanding of a variety of interconnected useful data especially on public transportation services. In this paper, we construct a public bus transportation network of eight zones in Klang Valley before evaluating their characteristics based on some network measurements such as average degree and clustering coefficient followed by calculation on five network indicators namely accessibility, centralization, robustness, directness, and service connectivity. These network indicators are helpful in providing extensive analysis of the network performance. Other than that, we also analyse the correlation between the network indicators. It is found that the different network indicator is beneficial in describing the network performance based on different network components and characteristics such as how betweenness centrality and closeness centrality are applied as part of the centralization and accessibility measurement respectively.

Semarak International Journal of Fundamental and Applied MathematicsVol. 4(1)
Openalex Percentile: Top 75%
Transportation Planning and Optimization
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Network Indicators of Public Bus Transportation Network in Klang Valley and their Correlations — Kar Tim Chan, Umair Abdul Halim, et al. · Semarak International Journal of Fundamental and Applied Mathematics (2024) | TGRS Research Map | TGRS