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MTA Subway Major Incidents: Beginning 2025
Major Incidents are unplanned incidents that delay 50 or more trains, which cause the most disruption to customers.
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META URL
https://catalog.data.gov/dataset/mta-subway-major-incidents-beginning-2025
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notspecified
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State of New York
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연관 데이터
MTA Subway Delay-Causing Incidents: Beginning 2020
공공데이터포털
This dataset presents the number of subway incidents that caused train delays, broken down by line, day type (weekday/weekend), and specific delay category and subcategory.
MTA Metro-North Major Incidents: Beginning 2022
공공데이터포털
This dataset is of major incidents on Metro-North, which are defined as events that lead to ten or more trains that are delayed by more than 5 minutes 59 seconds, canceled, or terminated.
MTA LIRR Major Incidents: Beginning 2020
공공데이터포털
This dataset is of major incidents on the LIRR, which are defined as events that lead to ten or more trains that are delayed by more than 5 minutes 59 seconds, canceled, or terminated.
MTA Subway Trains Delayed: Beginning 2020
공공데이터포털
This dataset reflects the number and percentage of subway trains delayed per weekday based on scheduled service, broken down into specific delay categories.
MTA Subway Wait Assessment: Beginning 2025
공공데이터포털
Wait Assessment measures how regularly trains are spaced during peak hours at selected timepoints on each line.
MTA Service Alerts: Beginning April 2020
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Service alerts in the MTA system are generated to inform passengers of both scheduled and unscheduled events that affect the transit network. These events can range from planned maintenance and construction activities to unexpected incidents such as accidents, track maintenance or planned work and more. The process of creating alerts involves the continuous monitoring of the transit system, including station locations, track statuses, and external factors that might impact service. When a potential disruption is identified, an alert is generated to provide passengers with timely and accurate information about how their travel might be affected.
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