Keyphrases
South America
100%
Public Transport
100%
COVID-19 Pandemic
100%
Private Mode
100%
Active Mode
100%
Sustainable Modes
33%
Activity Patterns
16%
Subjective Well-being
16%
Buenos Aires
16%
Health Risk
16%
Active Transport
16%
Sociodemographic Characteristics
16%
Lima
16%
Income Level
16%
COVID-19
16%
Metropolis
16%
Number of Deaths
16%
COVID-19 Impact
16%
COVID-19 Related
16%
Socio-demographic Information
16%
Latent Variables
16%
Cost Savings
16%
Year 2020
16%
SEM-MIMIC
16%
Household Characteristics
16%
Pattern Information
16%
Quito
16%
Civil Status
16%
Contextual Similarity
16%
Pandemic Scenario
16%
Travel Attributes
16%
Geographical Similarity
16%
Motorbike
16%
Number of Trips
16%
Mode Shift
16%
MIMIC Model
16%
Small Probability
16%
Breaking Bad News
16%
Subjective Data
16%
User Perception
16%
Activity Comfort
16%
Social Sciences
COVID 19 Epidemic
100%
Public Transport
100%
Consumers
50%
COVID-19
50%
Sociodemographics
33%
Transport
16%
Subjective Well-Being
16%
Latent Variable
16%
Health Risk
16%
Cost Saving
16%
Motorcycle
16%
Computer Science
American South
100%
Cost Saving
50%
Related Attribute
50%
Small Probability
50%
Main Explanation
50%
Earth and Planetary Sciences
Scanning Electron Microscopy
100%