2021
DOI: 10.21837/pm.v19i15.933
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Assessing MRT Feeder Bus Services Performance Through Passenger’s Satisfaction Level in the Selected Stations of Klang Valley, Malaysia

Abstract: Resultant impacts of mobility increase within the Klang Valley, for example, congestion, parking problem and air pollution have highlighted the reason for a move towards the use of more sustainable transport modes within the cities. Hence the need for effective and reliable public transport. It is perceived that Mass Rapid Transit (MRT) feeder buses hold the guarantee of easing the growing congestion in Klang Valley if they are managed efficiently and sustainably. For this reason, this research expands the exp… Show more

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Cited by 3 publications
(1 citation statement)
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“…Although a global navigation satellite station (GNSS) receiver can work as ridership count tool for data collection as specified in a local study by Jhin Lin and Ponrahono [11] done in Kuala Lumpur, a more innovative approach has been taken to see the ingress and egress of passenger on public transportation using smart card data in studies from other countries [12,13]. Another local study by Olabayonle, et al [14] also looked into the service performance of existing stations with feeder service coverage that indicated the need of service frequency to attract more ridership and maintain existing ones.…”
Section: Introductionmentioning
confidence: 99%
“…Although a global navigation satellite station (GNSS) receiver can work as ridership count tool for data collection as specified in a local study by Jhin Lin and Ponrahono [11] done in Kuala Lumpur, a more innovative approach has been taken to see the ingress and egress of passenger on public transportation using smart card data in studies from other countries [12,13]. Another local study by Olabayonle, et al [14] also looked into the service performance of existing stations with feeder service coverage that indicated the need of service frequency to attract more ridership and maintain existing ones.…”
Section: Introductionmentioning
confidence: 99%