Keyphrases
Bike Sharing
100%
Bike-sharing System
66%
Built Environment Factors
100%
City Population
33%
Collection Analysis
33%
Data-driven Approach
100%
Data-driven Methods
66%
Decision Support
33%
Decision Tool
33%
Distance to City Center
33%
Europe
33%
Geographic Boundaries
33%
Germany
33%
Influencing Variables
33%
Leisure
33%
Machine Learning Techniques
33%
Model Estimation
33%
Model Performance
33%
Multiple Cities
100%
Nightclubs
33%
North America
33%
One Data
33%
Policy Making
33%
Population Distance
33%
Rental
33%
Ridership
100%
Station-based
33%
Statistical Learning Techniques
33%
Three-City
33%
Transferability
33%
Transport-related
33%
Social Sciences
Data Driven Approach
100%
Decision Making Tool
100%
Europe
100%
Germany
100%
Learning Method
100%
North America
100%
Policy Making
100%
Urban Population
100%
Computer Science
Decision Making Tool
50%
Decision-Making
50%
Driven Approach
100%
Influencing Factor
50%
Machine Learning Technique
50%
Performance Model
50%
Policy Making
50%
Sharing System
100%
Agricultural and Biological Sciences
Decision Making
100%
Influencing Factor
100%
Learning System
100%
Machine Learning
100%
Urban Population
100%
Psychology
Decision Making
100%
Leisure Activity
100%
Economics, Econometrics and Finance