Transit services and user satisfaction: Application of latent class cluster analysis

Keyphrases

• Latent Class Analysis 100%
• User Satisfaction 100%
• Service Satisfaction 100%
• Transit Service 100%
• Ride-sharing Services 100%
• University Community 66%
• Service Performance 66%
• Older Men 33%
• Young Women 33%
• Low-income 33%
• Community-based 33%
• User Groups 33%
• Service Provider 33%
• Satisfaction Level 33%
• Planners 33%
• User-centric 33%
• University of Texas 33%
• White Students 33%
• International Students 33%
• Arlington 33%
• Domestic Students 33%
• Fixed-route Service 33%
• Asian International Students 33%
• High-income Population 33%
• Demand Responsive Transit 33%
• Responsive Transit Service 33%

Social Sciences

• Cluster Analysis 100%
• User Satisfaction 100%
• Household 66%
• Texas 33%
• Transport 33%
• Community-Based 33%
• Service Provider 33%
• Low Income 33%
• Foreign Students 33%

Computer Science

• User Satisfaction 100%
• Cluster Analysis 100%
• Analysis Model 33%
• Service Provider 33%
• Transportation Planner 33%