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Associating ridesourcing with road safety outcomes: Insights from Austin, Texas
Eleftheria Kontou
, Noreen McDonald
Civil and Environmental Engineering
Center for Social & Behavioral Science
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Keyphrases
Texas
100%
Austin
100%
Safety Outcomes
100%
Road Safety
100%
Ridesourcing
100%
Road Crashes
27%
Crash
18%
Driving under the Influence
18%
Road Injuries
18%
Transportation Network Companies
18%
Politicians
9%
Level Variations
9%
Urbanized Area
9%
Transportation System
9%
System Safety
9%
Fatality
9%
Traffic Safety
9%
Mobility System
9%
Setting Targets
9%
Trip Pattern
9%
Binary Indicators
9%
Traffic-related
9%
United Nations Sustainable Development Goals (UN SDGs)
9%
Safe Mobility
9%
Safety Metrics
9%
Spatial Panel Data Model
9%
Road Traffic Fatalities
9%
Mobility Options
9%
Zero-effort
9%
Vision Zero
9%
Crash Injury
9%
Road Safety Target
9%
Road Driving
9%
Panel Data Models with Fixed Effects
9%
Social Sciences
Texas
100%
Transport Safety
100%
Transport
75%
Fixed Effects Model
25%
United Nations
25%
Traffic Safety
25%
Sustainable Development Goals
25%
Panel Data Model
25%