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

C Li, L Bai, W Liu, L Yao, ST Waller - Transportation Research Part C …, 2021 - Elsevier
This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …
被引用次数：23 相关文章

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

C Li, L Bai, W Liu, L Yao, S Travis Waller - 2021 - worldtransitresearch.info
This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …
[PDF] unsw.edu.au

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

C Li, L Bai, W Liu, L Yao, S Travis Waller, ST Waller - 2021 - unsworks.unsw.edu.au
This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …

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

C Li, L Bai, W Liu, L Yao… - … Research Part C …, 2021 - research.polyu.edu.hk
This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …

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

C Li, L Bai, W Liu, L Yao… - … Research Part C …, 2021 - ui.adsabs.harvard.edu
This study uses individual trajectories to infer individual traveler attributes. This study
analyzes spatio-temporal travel behavior patterns. This study develops a Hybrid Spatial …

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

C Li, L Bai, W Liu, L Yao, ST Waller - Transportation Research Part C …, 2021 - trid.trb.org
This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …
[PDF] researchgate.net

[PDF][PDF] Urban Mobility Analytics: A Deep Spatial-Temporal Product Neural Network for Traveler Attributes Inference

C Lia, L Baia, W Liua, L Yaoa, ST Wallerb - researchgate.net
This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …
[PDF] unsw.edu.au

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

C Li, L Bai, W Liu, L Yao, S Travis Waller, ST Waller - 2021 - unsworks.unsw.edu.au
This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …