SFMTA Municipal Transportation Agency Image: Historic Car number 1 and 162 on Embarcadero
San Francisco Board of Supervisors
Land Use and Economic Development
Committee
5 | 28 | 2013
SAN FRANCISCO, CALIFORNIA

The SFMTA measures Muni service in the following key areas:
A. Overall Performance
B. Maintenance
C. Vehicle Availability
D. Labor
E. Service Disruptions
3

Muni Today
Performance Metric
On-Time Performance
Gaps
Percentage of Scheduled Service Delivered
Bus Crowding
(over 100% capacity)
Vehicle Availability
(Percentage of Weekdays with Sufficient Vehicles to Deliver Scheduled Peak Service)
Mean Distance Between Failure (MDBF)
FY 2013 To Date
58.7%
April 2013
61.3%
April 2012
60.5%
19.1% 15.9% 20.5%
96.6% 99.2% 95.1%
7.7% (AM inbound) 7.0% (AM inbound) 5.9% (AM inbound)
7.7% (PM outbound) 7.6% (PM outbound) 8.2% (PM outbound)
100.0% (Motor Coach) 100.0% (Motor Coach) 100.0% (Motor Coach)
64.0% (Trolley Coach) 50.0% (Trolley Coach) 66.7% (Trolley Coach)
33.1% (Train)
4,602
1,892
(Motor Coach)
(Trolley Coach)
3,796 (Train)
9.1% ( Train) 9.5% (Train)
5,064 (Motor Coach) 6,749 (Motor Coach)
1,917 (Trolley Coach) 1,578 (Trolley Coach)
3,655 (Train) 3,765 (Train)
Average Daily Hold Count
(Vehicles unavailable for revenue service)
Line delays
(over 10 minutes)
181
216
189
200
195
242
Estimated Customer Delay Hours N/A
151,263
(Maintenance-related)
20,932
(Other Operationsrelated)
N/A
Better than last year Worse than last year
4

Muni Today
• Under-investment in the system
– Aging fleet and infrastructure
– Outdated technology
Crowding
• Insufficient operator, maintenance, and supervision staffing
– Not filling scheduled service
– Crowded vehicles
– Longer customer waits
• Operating in mixed flow traffic
– Delays, service gaps, slow speeds
Crowding
Traffic Delays
5

Muni Today
• Reducing travel times
– All-Door Boarding
– J Church priority lanes
All Door Boarding
Dynamic Supervision
Transit
Scheduling Efficiencies
Lanes
• Increasing system efficiency
– Transit Effectiveness Project (TEP)
– Customer First initiatives
• Supervision
– Line Management Center
– Use of modern technology
• Schedules
– More frequent and demand-based schedule adjustments
6

Muni Today
• Realignment of capital program to address aging Transit fleet and infrastructure
• Fleet and infrastructure rehabilitation and replacement
– Bus fleet replaced in next five years
– Rail replacements (Duboce, Sunset, etc.)
• Focus on maintenance
– More comprehensive preventive maintenance
– Targeted component rehabilitation
• Reduced subway delays
– Replacing worn infrastructure
– Clearing disabled trains faster
Fleet Replacement
Reduce Subway Delays
Infrastructure Rehabilitation
7

Muni Today
Improved Communications
• Communications
– Real-time customer communication via Twitter,
NextBus and audio announcements
– New website
• Customer Outreach
– Rider alerts
– New subway signage and audio system
– Pilot electronic signage
8

Muni Today
• The SFMTA faces a $320M annual structural budget deficit
– $70M in unfunded operating needs ($50M for transit alone)
– $260M in State of Good Repair needs
• Decades of under-investment have contributed to a system that does not meet Proposition E standards
• Service levels have not kept up with recent population growth
• Quality of service compromised
9

Muni Today
• The SFMTA has total assets of $12.35 billion
• Assets classified as
“ Transit Service Dependent ”
– Assets that directly impact the provision of transit services; reduce day-today maintenance and/or operating costs
– Total Transit Service
Dependent Assets =
$6.69 billion
– Deferrals =
$680 million as of 2010
ASSET CLASS
TOTAL
VALUE
%
Deferred
2010
Light Rail
Vehicles
Motor Coach
Vehicles
Train Control and
Communications
$1,006 M
$1,168 M
$876 M
2%
5%
11%
Trolley Coach
Vehicles
$742 M 17%
Overhead Lines $2,177 M 17%
Track/Rail $724 M 22%
TOTAL $6,693 M 10%
10

Muni Tomorrow
People = 920,230
(+15%)
Jobs = 625,000
(+25%)
Source: SF City Planning
11

Muni Tomorrow
2010 2018 Goal
61% auto/39% non-auto 50% auto/50% non-auto

Muni Tomorrow
• Where to Live?
• Where to Work?
• Where to Shop?
• How to Travel?
• Willingness to pay for housing?
13

Muni’s Economic Value
Reliability
Speed
Cost of
Time
Quality
Comfort
Enjoyment
Travel
Productivity
Out-of-
Pocket
Costs
Access to jobs and shopping
Poor quality transportation reduces the quality of life in
San Francisco 14

Muni’s Economic Value
• Higher Labor Costs
• Lower Property
Values
• Less Access to Skills
• Higher Labor Costs
• Weaker
Competitiveness
15

Muni’s Economic Value
• 86,000 customer-hours* lost in peak-hour delays due to maintenance or other Muni-related reason.
• Increased commute time for San Franciscans by 1.5%
• Caused economic loss of $4.2 million ($50 million** annualized), due to higher costs and lower competitiveness.
* Total customer-hours in peak period estimated at 1,900,000
** Excludes the impacts of reduced shopping access and off-peak delays
16

Muni’s Economic Value
• Reducing transit delays creates economic benefits.
• Improving transit performance can create additional economic benefits.
• Investment in Muni and other city transportation infrastructure can create economic benefits that exceed their cost.
• Economic analysis of these benefits can help identify investments with the greatest potential return on investment.
17

Muni’s Economic Value
Economic impact of delays is estimated at $50 million annually
• With a $50 million recurring annual investment, here are examples of how the SFMTA could improve Muni service:
Replace 10 trains per year or or
Rehabilitate 170 buses per year or
Increase service by
8% or
Replace 64 buses per year
Meet service delivery goals
Improve on-time performance
Reduce gaps
Reduce crowding
Improve service frequency
Improve vehicle reliability
18

19

20

• The following major performance metrics help illustrate how Muni performance impacts customer service
• In support of Proposition E and the SFMTA Strategic
Plan
Performance Metric
On-Time Performance
Gaps
Methodology
Percentage of vehicles passing each timepoint within -1/+4 min. of schedule
Percentage of vehicles passing each timepoint where gaps are at least
5 minutes longer than the route's scheduled headway
Percentage of Scheduled
Service Delivered
Bus Crowding
Mean Distance Between
Failure (MDBF)
Unscheduled Operator
Absenteeism
Percentage of scheduled runs that are delivered
Percentage of buses that are over capacity at the maximum load point
Distance between vehicle breakdowns by vehicle type
Line delays
Est. Customer Delay Hours
Unscheduled absence rate for Transit Operators due to sickness or other reasons
Number of line delays (at least 10 minutes long) as reported in the
SFMTA's Central Control Log
Estimated number of customer-hours of delay resulting from (a) maintenance-related line delays and (b) non-maintenance line delays related to Muni, such as accidents
21

Methodology Performance Metric
Overall Performance
On-Time Performance
Gaps
Bunches
Percentage of Scheduled
Service Delivered
Average speed
Average weekday ridership
Bus Crowding
Maintenance and Vehicle
Availability
Mean Distance Between
Failure (MDBF)
Maintenance Staffing
Number of Active Vehicles
Percentage of vehicles passing each timepoint within -1/+4 min. of schedule
Percentage of vehicles passing each timepoint where gaps are at least
5 minutes longer than the route's scheduled headway
Percentage of vehicles passing each timepoint that are within 2 minutes of the previous vehicle on the same route
Percentage of scheduled runs that are delivered
Vehicle Revenue Miles/Vehicle Revenue Hours
Bus - Average ridership by route
Rail - Average Muni Metro subway station faregate entries
Percentage of buses that are over capacity at the maximum load point
Distance between vehicle breakdowns by vehicle type
Vehicles per Maintenance employee full-time equivalent (FTE)
The current number of active light rail vehicles, diesel coaches, and electric trolleys available on the property
22

Performance Metric
Long term holds
Methodology
Maintenance and Vehicle Availability (continued)
Number of Vehicle
Breakdowns
Number of breakdowns, as reported in the SFMTA's Central Control
Log
Vehicle Availability
Hold count
Percentage of weekdays in which there are sufficient vehicles available to meet scheduled service requirements by vehicle mode
The average daily number of bus and rail vehicles that are kept out of service for all maintenance activities
The number of bus and rail vehicles that are kept out of service for over
30 days
Operator Absenteeism
Unscheduled Operator
Absenteeism
Service Disruptions
Unscheduled absence rate for Transit Operators due to sickness or other reasons
Line delays
Estimated Customer Delay
Hours
Number of line delays (at least 10 minutes long) as reported in the
SFMTA's Central Control Log
Estimated number of customer-hours of delay resulting from (a) maintenance-related line delays and (b) non-maintenance line delays related to Muni, such as accidents
23

Metric
Overall Performance Statistics
Percentage of on-time performance
Percentage of transit trips with + 5 min gaps
Percentage of transit trips with + 5 min gaps on Rapid Network
Percentage of transit trips with <2 min bunching
Percentage of transit trips with <2 min bunching on Rapid
Network
Average Number of Missed Runs
Percentage of service delivered
Average Muni System Speed (mph)
Ridership (rubber tire, average weekday)
Ridership (Clipper rail station entries, average weekday)
Percentage of bus trips beyond capacity (8 am hour, inbound)
Percentage of bus trips beyond capacity (5 pm hour, outbound)
Maintenance Statistics
Mean distance between failure (Motor Coach & Trolley)
Mean distance between failure (LRV)
Mean distance between failure (Historic)
Mean distance between failure (Cable Car)
Vehicles per maintenance employee full-time equivalent (FTE)
Vehicle Availability Statistics
Number of active vehicles
Number of chargeable roadcalls
Percentage of weekdays with sufficient vehicles (Motor
Coach)
Percentage of weekdays with sufficient vehicles (Trolley)
Percentage of weekdays with sufficient vehicles (LRV)
Percentage of weekdays with sufficient vehicles (Historic)
Percentage of weekdays with sufficient vehicles (Cable Car)
Average daily hold count
Long term (30+ days) holds
Labor Statistics
Unscheduled absence rate by employee group (Transit operators)
Service Disruption Statistics
Line delays greater than 10 minutes (overall)
Est. Maintenance-Related Customer Delay Hours
Est. Other Operational-Related Customer Delay Hours
Est. Economic Impact of Maintenance-Related Delays
Est. Economic Impact of Other Operational-Related Delays
Goal FY13 Avg Jul
2012
Aug
2012
Sep
2012
Oct
2012
Nov
2012
85%
13.9%
5.3%
98.5%
58.7%
19.1%
17.7%
4.9%
7.0%
96.6%
64.0%
33.1%
84.2%
99.0%
181
85
8.6%
216
59.0%
20.4%
19.1%
4.8%
7.0%
95.3%
2,877
4,211
2,454
4,571
Dec
2012
Jan
2013
Feb
2013
Mar
2013
Apr
2013
0.0%
40.9%
60.9%
8.7%
45.0%
55.0%
95.7%
47.8%
95.5%
31.8%
81.0%
0.0%
95.7%
30.4%
40.0%
55.0%
76.2%
52.4%
50.0%
9.1%
31.8% 30.4% 80.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
100.0% 100.0% 95.0% 100.0% 100.0% 95.2% 100.0% 100.0% 100.0% 100.0%
198
91
192
85
204
90
168
94
179
91
179
84
149
85
158
86
189
94
189
44
9.4% 10.5% 9.3% 6.6% 7.0% 9.0% 8.9% 10.3% 8.5% 6.9%
209
55.6%
21.4%
20.3%
5.6%
8.0%
94.0%
3,087
3,654
6,566
6,202
250
56.0%
20.0%
19.1%
5.5%
7.7%
95.7%
2,815
3,657
2,200
4,248
197
56.6%
19.7%
18.8%
5.4%
7.6%
96.2%
2,877
3,660
2,144
2,386
230
58.9%
18.1%
17.0%
4.6%
6.5%
96.7%
3,071
3,910
1,990
4,244
229
59.0%
20.4%
18.6%
4.6%
6.5%
96.0%
60.5%
18.8%
16.6%
4.5%
6.3%
97.8%
59.8%
19.1%
17.0%
4.6%
6.5%
96.7%
60.7%
17.5%
15.7%
4.6%
6.6%
98.4%
495,716 486,497 505,630 517,674 515,379 484,545 500,121
7.7%
7.7%
7.5%
7.7%
7.7%
10.1%
8.5%
8.5%
9.4%
8.9%
7.8%
6.7%
7.1%
8.0%
467,267 488,616
56,151
6.6%
6.4%
63,561
7.6%
5.9%
-
63,176
7.4%
7.0%
3,259
3,796
2,247
3,627
3,197
3,167
1,891
2,624
1,050
687
1,050
751
1,050
702
1,050
734
1,048
868
1,048
692
1,036
689
1,036
636
1,036
548
1,036
562
1,036
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
222
3,631
3,927
1,958
2,649
220
3,723
4,440
2,316
2,811
4,170
3,984
1,620
4,814
0.67
61.3%
15.9%
15.2%
4.8%
6.9%
99.2%
7.0%
7.6%
3,712
3,655
2,530
5,488
0.67
191 207 200
88,065 130,849
23,241
$1,320,000
20,932
$349,000 24

Slow travel times frustrate customers and increase Muni costs

30 minutes
30 minutes
Round Trip Travel Time = 60 minutes
60
Bus every 10 minutes = = 6.0 => 6 buses + 6 drivers
10

50
Bus every 10 minutes = = 5 buses + 5 drivers
10

28

29