Look at TCRP Report 140 and merge mean distance between failures.
Page 22: Maintenance problems
Several large agencies have been plagued by recent significant maintenance issues requiring shutdowns of the service and severely impacting reliability and the provision of service. This can immediately impact ridership, but also affect long-term ridership as riders look to other modes. We can use flags for agencies (NYC rail, DC Metro) to designate these issues based on data available in TCRP Report 140.
The normal way this is measured is through "Mean distance between failures", which I think is in the NTD. I see on page 38 that you tested Maintenance in the FAC model and found it was insignificant. Might the results have been different if you had used MDBF? I am just flagging it because "lack of infrastructure maintenance causing significant service disruptions" is often mentioned by transit folks as a primary cause in some cities (e.g. WMATA, NYMTA, BART).
Look at TCRP Report 140 and merge mean distance between failures.
Page 22: Maintenance problems Several large agencies have been plagued by recent significant maintenance issues requiring shutdowns of the service and severely impacting reliability and the provision of service. This can immediately impact ridership, but also affect long-term ridership as riders look to other modes. We can use flags for agencies (NYC rail, DC Metro) to designate these issues based on data available in TCRP Report 140.
The normal way this is measured is through "Mean distance between failures", which I think is in the NTD. I see on page 38 that you tested Maintenance in the FAC model and found it was insignificant. Might the results have been different if you had used MDBF? I am just flagging it because "lack of infrastructure maintenance causing significant service disruptions" is often mentioned by transit folks as a primary cause in some cities (e.g. WMATA, NYMTA, BART).