Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference

Keyphrases

• Neural Network 100%
• Travellers 100%
• Spatial-temporal 100%
• Urban Mobility 100%
• Attribute Inference 100%
• Mobility Analytics 100%
• Autoencoder 50%
• Smart Card Data 50%
• Greater Sydney 50%
• Product Basis 50%
• Public Transport 25%
• Movement Patterns 25%
• Entertainment 25%
• Travel Behavior 25%
• Spatial Data 25%
• Age Groups 25%
• Residential Area 25%
• Modeling Framework 25%
• Two-component 25%
• Service Design 25%
• Hybrid Neural Network 25%
• Temporal Features 25%
• Transit Stops 25%
• Service Planning 25%
• Discriminative Features 25%
• Spatiotemporal 25%
• Public Transit System 25%
• Site Selection 25%
• Deep Learning 25%
• Mobility Patterns 25%
• Public Transport Service 25%
• Urban Services 25%
• Spatial Dependence 25%
• Passenger Movement 25%
• Temporal Perspective 25%
• Travel Survey 25%
• Spatial Features 25%
• Spatio-temporal Features 25%
• Spatial Perspective 25%
• Opal 25%
• Population Space 25%
• Group Areas 25%
• Passenger Mobility 25%
• User-centered 25%
• Temporal Design 25%
• Extensive Analysis 25%
• Temporal Dependency 25%
• Travel Behavior Patterns 25%
• Transport Dataset 25%

Computer Science

• Smart Card 100%
• Temporal Feature 100%
• Compression Module 100%
• Neural Network 100%
• Service Design 50%
• Deep Learning Method 50%
• Modeling Framework 50%
• Residential Area 50%
• Discriminative Feature 50%
• Experimental Result 50%
• Spatial Information 50%
• Site Selection 50%
• Behavior Pattern 50%
• Hybrid Neural Network 50%