NEEDS, IMPACTS, AND COMPENSATION MEASURES FROM TRAIN CANCELLATIONS OF THE STATE RAILWAY OF THAILAND

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Orapin Bunsin
Phakrawee Vanpetch
Akara Thammathikul

Abstract

This research aimed to 1) study the needs and impacts from the cancellation of public services by the State Railway of Thailand, 2) analyze and compare the impacts on service users from the cancellation of public services, and 3) analyze alternative public service measures. A mixed-method research approach was used. Quantitative research involved a sample of 384 train users, selected through non-probability snowball sampling. Qualitative research included focus group discussions with 7 purposively selected participants, consisting of 3 train operation executives and 4 train operation staff. The research instrument was a questionnaire with an IOC ranging from 0.80 to 1.00 and a Cronbach's alpha coefficient of 0.75. Quantitative data were analyzed using descriptive and inferential statistics.


The research findings revealed that 1) service users wanted the SRT to study the potential impacts on users every time before implementing a train cancellation policy (equation = 4.05), followed by publicizing train cancellations widely across all channels (equation = 3.93), adjusting the schedule of replacement trains (equation = 3.74), and reinstating cancelled trains (equation = 3.69), respectively. As for the impacts of train cancellations, most service users were moderately affected (44.7%). The impacts included extended travel time (20.9%), train schedules not matching travel needs (20.5%). The groups most affected were the general public (47.0%), followed by students (41.4%). The impacts led service users to switch to other modes of transportation at a moderate level (41.2%), and replacement trains made it impossible for passengers to travel as originally scheduled (44.9%). Moreover, 2) service users on different train lines, train types, and frequencies were affected differently with statistical significance at the .05 level. Different types of trains affected service users differently, with a Gamma value of .483, indicating that local train service users were affected more than users of other train types. In addition, 3) the guidelines or measures that the State Railway of Thailand implemented included arranging alternative trains, setting new operating times, and scheduling new passenger boarding and alighting times at stations along the way, which helped reduce the impacts on service users.

Article Details

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Research Article

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