Network Centrality Analysis of Public Transport Systems: Developing a Strategic Planning Tool to Assess Passenger Attraction
Amila Jayasinghe1, Rattanaporn Kasemsri2, C. Chethika Abenayake3, P. K. S. Mahanama4
1Dr. Amila Buddhika Jayasinghe, Senior Lecturer, Department of Town & Country Planning, University of Moratuwa, Sri Lanka.
2Dr. Rattanaporn Kasemsri, Lecturer, School of Civil Engineering, Suranaree University of Technology, Thailand.
3Dr. C. Chethika Abenayake, Senior Lecturer, Department of Town & Country Planning, University of Moratuwa, Sri Lanka.
4Prof. P. K. S. Mahanama, Deputy Vice-Chancellor, Department of (DVC), University of Moratuwa. Sri Lanka.
Manuscript received on 05 September 2019 | Revised Manuscript received on 29 September 2019 | Manuscript Published on 29 June 2020 | PP: 472-476 | Volume-8 Issue-10S2 August 2019 | Retrieval Number: J108608810S19//2019©BEIESP | DOI: 10.35940/ijitee.J1086.08810S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The objective of this study was to explore the potential of ‘Network Centrality Analysis’ method to estimate passenger attraction to public transportation (PT) stations. Accordingly, the study employed closeness centrality to measure the level of accessibility to a station from surrounding areas via a set of road segments; and betweenness centrality to measure the level of movement opportunities from a station to all other stations within the PT network. The result indicated that the network centrality is a useful indicator for estimating passenger volume at stations. The recorded R2 values are on par with international standards. Further, the findings emphasized the ability of network centrality to account for passengers’ attraction to stations in terms of accessibility to stations and movement opportunities. This method is highly recommended for assignments conducted in developing countries due to the less data consuming and technically simple nature
Keywords: Centrality; Public Transport; Method; Network Analysis; Developing Countries; GIS
Scope of the Article: Computational Techniques in Civil Engineering