Obtaining transit information from users of a collaborative transit app: Platform-based and individual-related motivators

Keyphrases

• Information Sharing 100%
• Platform-Based 100%
• Transit Information 100%
• App Platform 100%
• Transit Apps 100%
• Motivational Factors 40%
• Partial Least Squares Structural Equation Modeling (PLS-SEM) 20%
• Motivation 20%
• Denmark 20%
• Copenhagen 20%
• Social Norms 20%
• Active Users 20%
• Service Level 20%
• Information Provision 20%
• Active Involvement 20%
• Information Quality 20%
• Social Self 20%
• Communicator 20%
• Innsbruck 20%
• Time Information 20%
• Social Trust 20%
• Daily Routines 20%
• Transit Use 20%
• Behavioral Framework 20%
• Travel Information 20%
• Willingness to Share 20%
• Self-actualization 20%
• App Use 20%
• Social Network Engagement 20%
• Market Potential 20%
• Unified Theory of Acceptance 20%
• Commercial Market 20%
• User Participation 20%
• General Social Trust 20%
• Ridership 20%
• Perceived Information Quality 20%
• Sharing Motivation 20%
• Generation Z (Gen Z) 20%
• Effort Expectancy 20%

Computer Science

• Information Quality 100%
• Motivational Factor 100%
• Share Information 50%
• Time Information 50%
• User Participation 50%
• Unified Theory 50%
• Information Provision 50%
• Market Potential 50%
• Structural Equation Model 50%
• Social Network 50%