the ttc’s revenue protection strategy · 2020-02-14 · real‐time monitoring ... start of...
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The TTC’s Revenue Protection StrategyAudit and Risk Management Committee
February 11, 2019
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Agenda• The TTC’s Revenue Protection Strategy
‒ Preparation Work in 2019
• Ensuring Fare Payment Equipment is Available and Reliable
• Revenue Control and Data Analytics
‒ 2019 Ridership and Revenue‒ Presto Adoption‒ Stop Sell Impact‒ Analysis and Insights
‒ Child Concession Card Insights
February 11, 2020
The TTC’s Revenue Protection Strategy
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Revenue Protection ObjectiveMaximize revenue
February 11, 2020
Maximize Revenue
Customer Service
Correct Fares
Reliable Equipment
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Streetcar Deployment Tactics
Consistent resource assignment ‘Crush load’ inspection ‘U-Turn’ customer inspection Offboarding inspection Zone assignment Proportional network coverage
February 11, 2020
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Streetcar Deployment TacticsZone coverage map
February 11, 2020
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Stations Coverage Peak Post AM
2
GSM/DSM
Subway Supervisors
Station Supervisors
Revenue Protection ResourcesTransit Control-Bus
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Reducing Fareline Permeability – ‘Locking’ Farelines
February 11, 2020
Fare Evasion DeterrenceProof of Concept
Barriers installed between farelines and collector booths to decrease opportunity for station access without payment
Improvements to faregate function and first line maintenance
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Improving Visibility and Security in Stations
Pilot 360 degree view camera and new video management system
Sample View 1 Yonge/Bloor Sample View 2 Yonge/Bloor
February 11, 2020
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Customer Communication Positive ‘tap every time’ Culture
February 11, 2020
Ensuring Fare Payment Equipment is Available and Reliable
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Reliable Fare Payment Equipment - PRESTO
February 11, 2020
Three Phase Approach1) Incident Management:
Unplanned interruption to a service or reduction in the quality of a service
Restore normal service operation as quickly as possible
2) Problem Management: Address recurrence of incidents
3) Continuous Improvement: On going program with Metrolinx Q4 2019 activities focused on process
enhancements and stabilization
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Reliable Fare Payment Equipment
February 11, 2020
Improvements to daily operations/services
Increased remote and real‐time monitoring
Availability reporting using real‐time data
Improvements to device functionality (hardware/software)
Q4 2019 Improvements
Equipment performance is based on:− Device functionality− Device maintenance/cash collection
service Changes implemented in Q4 2019
− Ongoing improvement program− Address specific AG recommendations
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PRESTO in Streetcars Fare and Transfer Machines (FTM) and card readers
Add cash collection and maintenance at third designated location
Remote monitoring and remote device recovery
Daily device audits by Staff prior to start of service
Improved process to make vehicles available for PRESTO maintenance and cash collection
Enhanced reporting/analytics
Cash Collection
Trigger alerts for cash vault collection set at 75% volume
Increased cash collection locations in designated facilities
Ad hoc cash collection services
February 11, 2020
PRESTO card readers
Fare Transfer MachinesFare Transfer Machines
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Remote monitoring and remote device recovery
Daily audits of PRESTO card readers prior to start of service
Enhanced reporting/analytics
PRESTO on Bus
February 11, 2020
PRESTO card readers
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PRESTO in Stations
Fare Vending Machines (FVM) and Self Serve Reload Machines (SSRM)
New bank note acceptor hardware New SSRM software to address screen freezing Remote monitoring and remote device recovery Improve escalation process Use of device statistics for coordinating
cash collection & maintenance Ad-hoc cash collection Enhanced reporting/analytics
February 11, 2020
Self-serve Reload Machines
Fare Vending Machines
Revenue Control & Data Analytics Insights
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Key Activities
February 11, 2020
• Budgeting & Forecasting• Revenue Accounting• Financial Controls• PRESTO Liaison
• Ridership Forecasting• System Usage Reporting• Organization-Wide Analytics
Support• Business Intelligence Solutions
Revenue Control Data Analytics
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TTC 2019 Ridership & Revenue Results
February 11, 2020
Revenue $1.184 B*
86.8%
Earned(1% below budget)
Revenue from PRESTO(Up from 45% Dec 2018)
*2019 revenue and actual vs budget is preliminary
525.5 M
PRESTO
RidershipSystem Wide
2019 Ridership Trend
500 M
505 M
510 M
515 M
520 M
525 M
530 M
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Forecast Budget
20
2020
PRESTO Adoption Has Doubled
February 11, 2020
45.5%
January 2020 adoption rate is preliminary
PRESTO Adoption
MetropassDiscontinued
2018 2019 JAN
Legacy Media Stop Sellat all Subway Stations
NOVJULJANDEC
StationTransformation
77.1% 81.1% 85.1% 90.0%
PRESTO Tickets available at all Subway Stations
Policy Changes
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PRESTO Adoption Enhances Analytics Capabilities
February 11, 2020
2018 2019 2020Lack historical data Build-up of data More robust
benchmarking and budgeting
~ 0.5 M daily taps > 1.2 M daily taps
More evidence-based decision making
More granular, timely and varied data
Enhance analytical relevance
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PRESTO Data Analytics Building Blocks
February 11, 2020
Event
Concession
Mode
Time
Route
Location
Determine the impact of policy changes and/or events
Accurately measure ridership and revenue by mode
Evaluate ridership to inform service improvement along and among routes
Leverage improved location data to inform revenue protection deployment
Understand our customers to make more informed policy decisions
Monitor system usage by time to improve service deployment
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Concession Profile: Legacy Media vs PRESTO
February 11, 2020
Legacy Media PRESTO Data
80%Adult
Post Secondary
15%
Senior/Stude
nt
4%Child
368 MAdult
74%
57 M
Post Secon
dary
11%
31 MStudent
6%
6%
28 MSenior
10 M 3 M
Move from sampled Legacy Media data to more accessible and precise PRESTO data allows for more detailed analysis.
Child, 2% Others, 1%
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Before
Event Analysis: Legacy Media Stop Sell Impact
February 11, 2020
Token Legacy Ticket
-50.1% -40.9%114,355
PRESTO Ticket
+19.9%64,085
T
57,361 79,292 76,837
Nov 17- 23 2019
Dec 8 – 14 2019After
97,117
-5.9%$576,548
$542,457
Cash
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Mode and Route Specific Analysis: 4 Sample Stops
February 11, 2020
Revenue ProtectionSupport deployment strategy of fare inspectors and special constables
Service EnhancementProvide insights on customers’ usages on 504 KING (day, time, location)
504 King Streetcar December 2019
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Time: Concession Breakdown by Door
February 11, 2020
KING ST W AT BAY ST W SIDE504 KING
Dec 9 - 13, 20196AM – 10AM
Adult
Post Secondary
Senior
Student
40% 20% 27% 13%
8% 33% 42% 17%
100% 0% 0% 0%
601
15
12
1
18% 36% 30% 16%
Child 50% 50% 0% 0%2
Child Concession Analysis & Insights
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Child Concession Overview
2019 Ridership - Total 525.5M
2019 Ridership – Adult, Post Secondary, Senior, Youth 503.8M (96%)
2019 Ridership – Child Non-Presto 15.5M (3%)
2019 Ridership – Child PRESTO 6.2M (1%)
February 11, 2020
223 K
403 K
14 K 27 K
109 K166 K
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2019 Child Ridership PRESTO Taps
Bus Streetcar Subway
Bus, 67.4%Streetcar,
4.3%
Subway, 28.3%
Adult, PS, Senior, Youth96%
Child Non‐
PRESTO3%
Child PRESTO1%
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Child PRESTO: Higher Growth in 2019
February 11, 2020
14 K
24 K1,369 K
1,710 K
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Child All ConcessionsChild card growth is faster than overall growth
All Concessions Child Concession
1.7 M Users
+25% +75%
24 K Users
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Child PRESTO: Top 10 Locations in 2019
February 11, 2020
0 K
20 K
40 K
60 K
80 K
100 K
120 K
All top 10 locations for child card usage are Subway Stations.
#1 Dundas Station
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Child PRESTO: Top 10 Locations (Jan 5 – 25)
February 11, 2020
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
10,000
• First 3 work/school weeks in 2020
• Selected for analysis to include• 1 PA Day (Jan 17)• 2 Strike Days (Jan 20, 21)
• Similarly, all top 10 locations for child card usage in 2019 are Subway Stations.
#1 Dundas Station
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Child PRESTO: Dundas Station Usage by Hour(Jan 5 – 25)
February 11, 2020
94
0 0 0 1 2 2 35
7
13
24 23
30
50
61 6360
40
46
55
28
11
127
1 14
7 9
15 15
31
42
71
84 8379
53
70
93
30
9
0
10
20
30
40
50
60
70
80
90
100
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
School Days TCDSB Elementary Strike
TDSB Elementary Strike TDSB TCDSB Elementary PA Day
• Dundas station not likely used by children ages 0 – 12 who attend nearby schools.
• Higher usage on school closure days.
• Similar time of day usage patterns between regular school days and school closure days.
• Travel during late hours and school hours are not expected for child ages 0 – 12.
• Data shows potential misuse of child cards at Dundas Station.
School hours Late Hours
Late Hours
vs
33
Child PRESTO: York University Station Usage by Hour (Jan 5 – 25)
February 11, 2020
• York University station not likely used by children ages 0 – 12 who attend nearby schools.
• Similar time of day usage patterns between regular school days and school closure days.
• Travel during late hours and school hours are not expected for children ages 0 – 12.
• Data shows potential misuse of child card at York University Station.
School hours Late Hours
Late Hours
1 1 1
10
42
7
19
2723
35
27
43
70
54
36
26
38
11 12
0
10
20
30
40
50
60
70
80
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
School Days TCDSB Elementary Strike
TDSB Elementary Strike TDSB TCDSB Elementary PA Day
vs
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Child PRESTO: Percentage of Abnormal Usage by Time (Jan 5 – 25)
February 11, 2020
8 K3 K 1 K 1 K 2 K
8 K
20 K
40 K
61 K
36 K32 K
35 K38 K
41 K
50 K
75 K
63 K60 K
48 K
34 K
28 K26 K
20 K14 K
0 K
10 K
20 K
30 K
40 K
50 K
60 K
70 K
80 K
90 K
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Late Hours School hours (school days only)
Travel during late hours and school hours were observed across the network. These trips are considered abnormal for children ages 0 – 12.
• 17,000 child card were used during abnormal hours. These cards generated 89% of the total taps.
• 6,000 child cards have expected (normal) usage.
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Child PRESTO: 2019 Potential Revenue Loss
February 11, 2020
• If misuse ratio is representative of child card usage in 2019
89% Misused89%
Misused
• 89% x 6.2M PRESTO child ride• 5.5M misused child rides in 20195.5M Rides5.5M Rides
• Average fare $2.25• Potential Loss $12.4M$12.4M$12.4M
Potential Misuse
89%