The most obvious ones are the ability to deliver a transport service that is safe, punctual, and reliable. Safety is not negotiable and the measures in place are probably not as clear to the passenger, but they are there and supported greatly by data insights.
Data can help identify potential risks and help deliver a higher level of safety to the train system overall.
Punctuality and reliability are obvious performance indicators to a train passenger; if a service systematically struggles to follow a timetable, it affects the passenger’s professional or personal schedule and it might make them decide to use other means of transportation that deliver a more dependable service.
Unreliable train systems could also have a dual impact; direct to the passenger when they struggle to use it as intended, or to the overall train performance with potential impact on service delay or even suppression.
In the first case, the customer feels the direct impact for example: not being able to use a door, enjoying air-conditioning or a being unable to use a toilet that is out of service. Remote monitoring can provide this knowledge on the various onboard train systems allowing operations to mitigate the risk of experiencing such disruptions by making them aware in advance of the issues onboard.