2021
DOI: 10.1177/03611981211054831
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Linking Incidents to Customers (LINC): An Algorithm for Linking Incidents to Rail Customer Delays Inspired by Traffic Flow Theory

Abstract: Rail transit agencies have greatly advanced the ability to measure delays to rail system customers and have developed key performance indicators for rail systems based on customer travel time. The ability for operators to link these customer delay metrics to root causes would provide great benefit to agencies, from incident response improvement to capital program prioritization. This paper describes a method for linking late train arrivals to both late customers and incident tickets. Inspired by traffic flow t… Show more

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Cited by 4 publications
(1 citation statement)
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“…There is a growing body of work that uses ODX data to better understand rider travel behavior and make policy and operational improvements. Those use cases of ODX data range from understanding commuting patterns of transit users (18), and estimating trip purposes (19) to linking customer delays to root causes (20). Passenger segmentation, a task that involves clustering passengers into different user groups based on their common recurring travel behavior has also been a popular use of ODX data (21).…”
Section: Related Workmentioning
confidence: 99%
“…There is a growing body of work that uses ODX data to better understand rider travel behavior and make policy and operational improvements. Those use cases of ODX data range from understanding commuting patterns of transit users (18), and estimating trip purposes (19) to linking customer delays to root causes (20). Passenger segmentation, a task that involves clustering passengers into different user groups based on their common recurring travel behavior has also been a popular use of ODX data (21).…”
Section: Related Workmentioning
confidence: 99%