Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference
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 …
attributes of travelers, thereby facilitating a more user-centered public transport service …
You are how you travel: A multi-task learning framework for geodemographic inference using transit smart card data
Geodemographics, providing the information of population's characteristics in the regions on
a geographical basis, is of immense importance in urban studies, public policy-making …
a geographical basis, is of immense importance in urban studies, public policy-making …
A deep learning approach to infer employment status of passengers by using smart card data
Understanding the employment status of passengers in public transit systems is significant
for transport operators in many real applications such as forecasting travel demand and …
for transport operators in many real applications such as forecasting travel demand and …
Inferring social-demographics of travellers based on smart card data
[EN] With the wide application of the smart card technology in public transit system,
traveller's daily travel behaviours can be possibly obtained. This study devotes to …
traveller's daily travel behaviours can be possibly obtained. This study devotes to …
Exploring the relationship between travel pattern and social-demographics using smart card data and household survey
Understanding social-demographics of passengers in public transit systems is significant for
transportation operators and city planners in many real applications, such as forecasting …
transportation operators and city planners in many real applications, such as forecasting …
Understanding public transit patterns with open geodemographics to facilitate public transport planning
Plentiful studies have discussed the potential applications of contactless smart card from
understanding interchange patterns to transit network analysis and user classifications …
understanding interchange patterns to transit network analysis and user classifications …
Estimating the activity types of transit travelers using smart card transaction data: a case study of Singapore
Y Zhu - Transportation, 2020 - Springer
Understanding individual daily activity patterns is essential for travel demand management
and urban planning. This research introduces a new method to infer transit riders' activities …
and urban planning. This research introduces a new method to infer transit riders' activities …
ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs
Predicting trip purpose from comprehensive and continuous smart card data is beneficial for
transport and city planners in investigating travel behaviors and urban mobility. Here, we …
transport and city planners in investigating travel behaviors and urban mobility. Here, we …
Inferring patterns in the multi-week activity sequences of public transport users
G Goulet-Langlois, HN Koutsopoulos, J Zhao - … Research Part C: Emerging …, 2016 - Elsevier
The public transport networks of dense cities such as London serve passengers with widely
different travel patterns. In line with the diverse lives of urban dwellers, activities and …
different travel patterns. In line with the diverse lives of urban dwellers, activities and …
Imputing qualitative attributes for trip chains extracted from smart card data using a conditional generative adversarial network
Abstract Travel Diary Survey (TDS) collects comprehensive attributes such as
sociodemographic attributes, trip purpose, and trip chain attributes of the trips taken by a …
sociodemographic attributes, trip purpose, and trip chain attributes of the trips taken by a …