2021
DOI: 10.1177/03611981211012421
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Transit Users’ Mode Choice Behavior During Light Rail Transit Short-Term Planned Service Disruption

Abstract: Planned service disruptions (PSDs) of light rail transit (LRT) improve service reliability, extend infrastructure’s life, and reduce the frequency and impact of unplanned service disruption caused by system failure. However, the literature on the impact of LRT PSDs on transit customers’ travel mode choice behavior is scarce relative to that on unplanned service disruptions. This study aimed to investigate transit customers’ mode choice behavior in response to short-term LRT PSD in the City of Calgary, AB, Cana… Show more

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Cited by 10 publications
(3 citation statements)
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References 17 publications
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“…Especially, the headway cannot exceed the duration of each subprocess. Constraint (11) states that the bus can depart from the origin station only if meeting the headway of the subprocess. Constraint (12) calculates the waiting time of passengers at the origin station, which depends on the time-window between the arrival time at origin station and the boarding time.…”
Section: Shuttle Bus Constraintsmentioning
confidence: 99%
See 1 more Smart Citation
“…Especially, the headway cannot exceed the duration of each subprocess. Constraint (11) states that the bus can depart from the origin station only if meeting the headway of the subprocess. Constraint (12) calculates the waiting time of passengers at the origin station, which depends on the time-window between the arrival time at origin station and the boarding time.…”
Section: Shuttle Bus Constraintsmentioning
confidence: 99%
“…As long as there are neither disturbances nor disruptions, commuter railway routes and schedule-based timetables can be considered reliable with unwavering certainty; execution is precisely as planned. However, in real life operations, disturbances and disruptions are inevitable [10][11][12]. Cacchiani et al [13] elaborate on two distinctive differences between the characteristics of "disturbances" and "disruptions".…”
Section: Introductionmentioning
confidence: 99%
“…Li et al [16] established multiple logistic regression models to analyze passenger travel behavior during emergencies. Arslan Asim et al [20] constructed a mixed multinomial logit model to investigate transit customers' mode choice behavior during light rail transit short-term planned service disruption. The behavior of passengers may differ depending on the property and the extent of the disruption.…”
Section: Introductionmentioning
confidence: 99%