metropia app and implications for travel demand management
TRANSCRIPT
Metropia App and Implications for Travel Demand Management
Yi-Chang Chiu, PhDUniversity of Arizona, Metropia Inc.
D-STOP SymposiumUniversity of Texas at Austin,
March 2, 2015
Metropia’s Gamification Features
• Earning Points can be exchanged for local merchant rewards
or to plant trees
Metropia Multi-Modal “Lead Generation” Concept
Metropia Drivers
Alternative Mode
Attractive
Alternative Mode
Feasible
Metropia Multi-Mode “Lead Gen” Example(Portland Metro Network – PM Period)
Potential Travel Shed for Mode
Shift with Lead Gen (Simulated)
Alternative Mode Feasible:
• SOV trips with direct transit
services between origin and
destination
• 280,000 trips captured (15%)
Alternative Mode Attractive:
• SOV trips with direct transit
services between origin and
destination
• Wait time < 15 minutes
• Walk distance < 0.5 Miles
• 10,000 trips captured (0.5%)
Activity Pattern
• Activity History • Activity PrismWork
Home
Shopping
Home
Shopping Work
Activity Based Model
Data Coverage (Week 1-16)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Stable links 304 438 807 1157 1460 1682 1856 2266 2517 2734 3097 3416 3564 3767 4094 4259 4377
Updated links 2305 3798 7278 9599 10602 11548 12172 13426 14374 15145 16006 17328 17748 18274 19150 19525 19772
0
5000
10000
15000
20000
25000
30000
# o
f lin
ks
week
YC Weekday Home 8 AM
Kids School
Metropia
U of AZ
Emission Test
Tucson Airport
Destination Choice Modeling
Conclusions
• Metropia focuses on Multi-Modal Active Demand Management
• Metropia data support various travel demand management purposes
– Multi-modal opportunities
– Congestion/performance measures
– Activity patterns
– Distraction/safety analysis