Identifying the Klang Valley rail riders' travel pattern for future expansion using social network analysis
As the population grows, the importance of public transportation increased rapidly as people can use them to travel within the city or town easily. Due to the immense complexity of any public rail, a rich set of information can be uncovered and mined using Social Network Analysis (SNA). In this rese...
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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
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IEEE
2020
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/91108/ http://dx.doi.org/10.1109/ICIMU49871.2020.9243547 |
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