Upload
others
View
2
Download
0
Embed Size (px)
Citation preview
OVERVIEW PRESENTATION / 1 OVERVIEW PRESENTATION / 1
OVERVIEW PRESENTATION / 2
What to expect
• Background & overview
• Implementation
• Lessons learned
• Next steps
OVERVIEW PRESENTATION / 3
The SFMTA
OVERVIEW PRESENTATION / 4
What is parking like in San Francisco?
OVERVIEW PRESENTATION / 5
How did we get here?
OVERVIEW PRESENTATION / 6
What is the SFMTA doing about it?
OVERVIEW PRESENTATION / 7
Demonstrating a new approach to parking
OVERVIEW PRESENTATION / 8
Parking census
OVERVIEW PRESENTATION / 9
Coin and card meters
OVERVIEW PRESENTATION / 10
On-street parking sensors
OVERVIEW PRESENTATION / 11
Garage occupancy sensors
OVERVIEW PRESENTATION / 12
Real-time information and app development
OVERVIEW PRESENTATION / 13
Pricing at parking meters and lots
• Demand responsive to find lowest possible prices
• Gradual and periodic changes: $0.25 up or down every 6-8 weeks
• Time of day pricing (vary by block + weekday/end)
OVERVIEW PRESENTATION / 14
Pricing at parking meters and lots
Occupancy Range Rate Adjustment
80% - 100% +$0.25
60% - 80% No change
30% - 60% -$0.25
0 - 30% -$0.50
OVERVIEW PRESENTATION / 15
Pricing at SFpark parking garages
OVERVIEW PRESENTATION / 16
Demand responsive rate adjustments
OVERVIEW PRESENTATION / 17
Enforcement
OVERVIEW PRESENTATION / 18
Enforcement real-time data pilot
OVERVIEW PRESENTATION / 19
Automatic data • Supply data (census, asset management)
• Parking data (from sensors, meters, and citations)
• Garage data (usage by hour)
• Travel demand data (roadway sensors, highways PEMS, BART, Muni)
• Muni data (travel time data from APCs)
• Parking tax
• Sales tax
• Safety (SWITIRS collision data)
• Exogenous (fuel price, CPI, unemployment, precipitation)
Manual data
• Parking search time
• Double parking and disabled placard
• Intercept surveys (professional survey firm)
OVERVIEW PRESENTATION / 20
Investment in data management/analytical tools
OVERVIEW PRESENTATION / 21
Acquire + understand + clean + structure data
OVERVIEW PRESENTATION / 22
Inventory/asset management
OVERVIEW PRESENTATION / 23
Rate change process
OVERVIEW PRESENTATION / 24
Operational control and real-time alerts Typical behavior
Atypical
OVERVIEW PRESENTATION / 25
Lessons learned
• What worked well
– Pilot project approach
– Transparent, rules-based, and data-driven process
– Clear goals and policies
– Large investment in communication and customer experience
• What was challenging
– This approach is very IT intensive
– Implementing new technologies and procedures
– Parking sensors are a nascent product/industry
– Culture change takes time
OVERVIEW PRESENTATION / 26
App changes
OVERVIEW PRESENTATION / 27
Modeling occupancy from meter payment
OVERVIEW PRESENTATION / 28
What’s next
• Upgrade meters citywide
• Evaluate pilot projects
• Perform first rate adjustment without sensors
• Develop proposal to expand SFpark citywide
OVERVIEW PRESENTATION / 29
Sharing our resources