Automobile Accident
Conditions
Keywords
distracted driving automobile, behavioral economics, usage-based insurance, auto insurance, automobile, smartphone application
Brief summary
The investigators are proposing an experiment to help a national auto insurance company test behavioral economic strategies to reduce the amount of time policy holders actively use their cell phone while driving. Interventions include financial incentives, social comparison, and nudges, and survey data will also be collected. Data collected from this internal trial will be shared with the Penn research team and analyzed
Interventions
BEHAVIORALWeekly feedback
Send push notification reporting user's handheld phone use while driving compared to distribution for driver cohort (age, geographic area) each week.
BEHAVIORALEnd of intervention period incentive
Notify participant about potential incentive at the end of the intervention period, but do not provide weekly feedback about performance.
BEHAVIORALLoss-framed weekly incentive
Send push notification reporting user's handheld phone use while driving compared to distribution for driver cohort (age, geographic area) each week. Pay participant weekly according to where they fall on the distribution each week.
Sponsors
U.S. Department of Transportation Federal Highway Administration
University of Pennsylvania
Study design
Allocation
RANDOMIZED
Intervention model
FACTORIAL
Primary purpose
PREVENTION
Masking
SINGLE (Subject)
Eligibility
Sex/Gender
ALL
Age
16 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Progressive Snapshot Users with policy activated within recruitment period * Progressive Snapshot policy holder in one of the following states and regions: MI, PA, TX, FL, TN, OR, GA, NE, OK, OH, MT, MO, NV, CT, WI, MD, KY, MN, NH, NJ, AZ, ME, LA, SC, CO, MS, IN, IA, AL, ND, UT, RI, WV, WY, IL, AR, DE, KS, SD, NM, VT, ID, and the District of Columbia * Has an email address
Exclusion criteria
* Progressive Snapshot Mobile App not updated to enable push notifications * Customer's residential address is in a state in which phone use while driving is factored into insurance rating * Customer's Snapshot Mobile App does not collect trip data with all sensors active * Customer in Snapshot program for \< 30 days or more \> 70 days
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Seconds of active phone use per hour of driving | 150 days | Percentage of driving time engaging in active handheld phone use (also measured as seconds of distracted driving/hour of driving) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Seconds of passive phone use per hour of driving | 150 days | Seconds of passive handheld, non-call use per hour of driving |
| Hard breaking events per 100 miles | 150 days | notifications turned off, drop out of study, app uninstall |
| Hard acceleration events per 100 miles | 150 days | Hard acceleration events per 100 miles |
Countries
United States
Outcome results
None listed