Business Intelligence Development at Winnipeg Transit

Transcription

1 ITS Canada Webinar February 28, 2013 Business Intelligence Development at Winnipeg Transit Bill Menzies Senior Transit Planner, Dillon Consulting Limited Manager of Service Development, Winnipeg Transit (formerly)

2 Transit Service Management Service Plan Decision Action Information Service Delivery Data Consolidation Analysis 3

3 Data Consolidation for Analysis GIS Transit Cost Model NETData MMIS Contact On-TRAC APC Geography Schedule Service Costs Fleet Dispatch Operations Utilization TSAS Database Network, Schedule, Cost Files (SAS) Bus Run Assignment Files (SAS) APC Files (DB2) 4

4 Transit Network Definition Booking Route Route Direction Trip Pattern (Leg) Segment Defined by contiguous timing points Common stop sequence Bus Stop Service Access/Egress Timing Point Transfer Point Relief Point 6

5 Utilization: APC System Automatic Passenger Counting System Boardings/Alightings by Stop Loads Between Stops Arrival/Departure/Dwell Times at Stops and Timing Points Actual Running Times Between Timing Points Service Delays 183 buses equipped (33% of fleet) 28 x 40 High Floor (New Flyer D40) 150 x 40 Low Floor (New Flyer D40LF) 5 x 30 Low Floor (New Flyer D30LF) 3 service lines at 2 garages equipped 10

6 Data Consolidation Goal is to consolidate key data from different systems to support analysis, planning, and management of transit service What s needed: Data interfaces for major applications Software that can read a variety of database formats End user programming skills Internal computer network for data access Intranet site for report publication 14

7 The TSAS Warehouse Network & Schedule Database Bus/Run Assignments Database APC BusStops Database Trip Samples Trip Sample Status Run Sample Status Utilization Trip Productivity Run Times SAS Programs APC Diagnostic Reports Service Supply Reports Dispatch Reports Passenger Count Reports Service Evaluation Reports Schedule Adherence Reports Service Cost Database Trip Recovery Status Run Time Data Files for HASTUS-ATP 15

8 Performance Metrics

9 System-Based Metrics Dispatch % of scheduled service actually operated % of designated service operated by designated buses Low Floor Routes Downtown Spirit Routes Bike Rack Routes BRT Routes APC Data Recovery % of APC-operated trips for which data successfully recovered Schedule Adherence % of departures within window: 1 min early to 3 min late Measured only at stops with boardings Weighted by boardings System Ridership Average Daily Boardings by: Booking Type Schedule Type Year 18

10 Route-Based Metrics Schedule Adherence % of departures within window: 1 min early to 3 min late Weighted by boardings Running Times/Speed Mean, Standard Deviation Crowding At trip maximum load point, % of passengers: Seated Standing (comfortable) Standing (uncomfortable) Trip Productivity Average Boardings Boardings/Bus Hour Maximum Load/Seated Capacity % of Seat-Kms used Average pgr trip length Service Frequency Scheduled Headway vs. Demand Based Headway at each route s maximum load point By schedule type, time period, and route direction 19

11 Stop-Based Metrics Passenger Activity Ons/Offs/Load by: Booking Schedule Type Time Period Route Schedule Adherence % of departures within window: 1 min early to 3 min late Weighted by each passenger trip s boardings 20

12 Service Evaluation - Supply 40 seats 0 Min 1000 m 1000 m 1000 m 1000 m 1000 m 45 Min Bus Hours = 0.75 Bus Kms = 5 Seat-Kms = (40 seats *1,000 m)/1,000 m) * 5 =

13 Service Evaluation - Demand 40 seats Min 1000 m 1000 m 1000 m 1000 m 1000 m 45 Min Ons = 52 Offs = 52 Max Load = 45 Pgr-Kms = ((5*1000)+(20*1000)+(25*1000)+(45*1000)+(15*1000))/1000 =

14 Service Evaluation - Metrics 40 seats Min 1000 m 1000 m 1000 m 1000 m 1000 m 45 Min Boardings/Bus Hour = 52/0.75 = 69 Boardings/Bus Km = 52/5 = 10.4 Pgr-Kms/Bus Kms = 110/5 = 22 (Average Load) Pgr-Kms/Seat Kms = 110/200 = 55% (Load Factor) Pgr-Kms/Boardings = 110/52 = 2.12 (Avge Pgr Trip Length) 23

15 Service Evaluation - Metrics Balanced Scorecard Performance Measures Boardings/Bus Hour Boardings/Bus Km Average Load Load Factor Complete Route Peak Direction Average Trip Length Cost Measures Variable Cost/Boarding Full Cost/Boarding Variable Cost/Bus Hour Full Cost/Bus Hour Route Peer Comparison Routes compared within category: Downtown Main Line Express Crosstown Neighbourhood Feeder Downtown Spirit DART 24

16 Service Evaluation - Example Category Schedule Route Daily Service Operated Daily Costs and Demand Performance Measures Cost Measures 25

17 Information Delivery

18 What, How, For Whom? On-Line Reports Generated daily at 05:00 Designed for quick reference by all staff Detailed Paper Reports ~30 standard reports generated on demand for planning/scheduling purposes Evaluation Reports Generated at end of each booking to track system ridership, route productivity, demand-based headways, service costs Restricted circulation Data Extraction for Input to Other Applications Observed run time data for HASTUS-ATP analysis Spatial data for GIS analysis 27

19 On-Line Reports 28

20 System Schedule Adherence 29

21 Route Reports 30

22 Stop Reports 31

23 GIS Load Profile 34

24 Next Steps Integrate data from new ITS deployments into TSAS: Automatic Vehicle Location System (2010) Generates second-by-second log file of each bus s operation each day Electronic Passenger Information Systems (2011) Trip planner, IVR, mobile, and SMS apps generate travel pattern data Fare Collection System (2013) Generates spatially-referenced fare payment and transfer data Develop management dashboard of key operational and performance measures 35

25 Thank You!