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Appendix A. Hypotheses

Table 5. Key Hypotheses
Hypothesis Number Hypothesis MOE Data Source Proposed Analysis Method
1 The project will result in a reduction in operations and planning costs and improved service planning.
  • Time needed to complete COA studies
  • Cost of COA studies
  • Changes to routes/services as a result of COA studies
  • Changes in costs to operate modified routes/services
MST staff interviews Before and after analysis of characteristics of comprehensive operational analysis (COA) studies.
2 The project will result in improved on-time performance of MST operation Early/late statistics MST archived data Before and after analysis of schedule adherence data
3 The project will result in an increase in the reliability of services
  • On-time performance of whole fixed route system
  • On time performance by route
  • On-time performance by trip
  • On-time performance by operator
  • On-time performance during peak hour operation
  • On-time performance during off-peak hour operation
MST archived data Analyze change in on-time performance due to the ITS Augmentation project
4 The project will enhance system productivity
  • Number of passengers
  • Platform hours*
  • Transit vehicle miles
  • Boardings/hour
  • Passenger miles per employee or revenue dollar
  • Cost of operation and maintenance
  • Cost per passenger mile
  • System revenue
MST archived data Before and after analysis of data
5 The project will result in an improvement in maintenance scheduling and planning
  • Staff perceptions of the use of remote diagnostics
  • Number of false remote diagnostic messages
  • Number of total remote diagnostic messages

MST archived data regarding remote diagnostics

MST staff interviews

Qualitative assessment regarding the use of remote diagnostics
* Platform hours refer to the time spent by a transit vehicle (in this case a bus) in service between vehicle pull-in and pull-out.


Table 6. Secondary Hypotheses
Hypothesis Number Hypothesis MOE Data Need Proposed Analysis Method
6 The project will result in improved customer satisfaction

Customer perception of the following technology elements has to be measured:

  • On-board automated announcements
  • Real-time traveler information in transit centers
  • Automated trip planning on website
  • Translink fare payment system
  • Changes in travel times due to changes in routes and service frequencies (headways)
  • Changes in wait times at stops
  • Change in time spent talking to customer service

Customer satisfaction survey data

Surveys completed for COA studies

Qualitative analysis of customer survey data
7 The project will result in an increase in ridership
  • Ridership per route
  • Overall system ridership
  • Ridership by stop
  • Peak ridership
  • Off-peak ridership
MST archived data Before and after analysis of ridership
8 The project will result in an improvement in driver/ passenger security
  • Number of on-board incidents
  • Number of on-board incidents where perpetrator identified
  • Number of transit center incidents
  • Number of transit center incidents where perpetrator identified

MST archived data from digital cameras

MST staff interviews

Before and after analysis of the data.

Qualitative analysis needed

9 The project will result in a reduction in the travel times of specific routes where TSP is deployed
  • Travel time per route
  • Change in average vehicle speeds

MST staff Interviews

MST archived data

Before and after TSP deployment analysis of travel times and vehicle speeds
10 The project will help reduce response time for incidents and emergency management
  • Change in response time for incidents
Staff interviews Before and after analysis of MST incident data
11 The project will result in a reduction in vehicle hours
  • Non-revenue vehicle hours
  • Non-revenue vehicle miles
  • Revenue vehicle hours
  • Revenue vehicle miles
MST archived data Before and after analysis of vehicle hours and miles
12 The project will reduce the number of customer complaints
  • Change in number of complaints
MST archived data Before and after analysis of complaint data
13 The project will result in improved facility security
  • Number of registered cases of theft
  • Number of registered cases of theft with trespassers identified

MST archived data from digital cameras

MST staff interviews

Before and after analysis of the data; Qualitative analysis needed
14 The project will establish a comprehensive reporting system.
  • Change in time taken in generating daily, monthly and periodic operational reports
  • Change in time taken in generating annual NTD reports
  • Number and types of reports generated
MST staff interviews

Analysis of staff interviews;

Before and after analysis of data

15 The project will result in reduced cases of false financial claims
  • Financial claim statistics
MST staff interviews Analysis of financial claims before and after the surveillance system deployment

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