All times presented in Israel’s local time, GMT+3

13:15-13:30 Welcome to TransitData2021 (Oded Cats)

13:30-14:45 Session 1:
Wi-Fi and crowd-sourcing data for passenger demand and travel attributes estimation 

Michelle Cheung, Yan Cheng and Taku FujiyamaStudy of passenger walking distances along train platforms in Singapore
Hyungsub Jee, Wenzhe Sun and Jan Dirk SchmoeckerEstimation of Bus Line Specific Waiting Times Using Wi-Fi Signal Data
Piergiorgio Vitello, Richard D. Connors and Francesco VitiEnhancing Public Transport Demand Information Using Crowdsourced Data

15:00-16:15 Session 2:
Demand estimation and forecasting for public transport services

Sonia Mangones and Sergio Peña  Origin-destination matrices and trip purpose inference from automatic fare collection, land use, and travel-survey data in a BRT System
Mark McCord, Rabi Mishalani and Raj RoyReplacing Non-structural Zeros in Empirically Determined Bus Route-level Passenger Origin-destination Matrices used as Seeds to the Iterative Proportional Fitting Method
Sethu Vinayagam Udhayasekar, Manju Manohar Manjalavil, Ganesh Ambi Ramakrishnan, Aravinda Devaraj and Karthik K. SrinivasanAn integrated deep learning and regression modelling framework to predict transit demand

16:30-17:45 Session 3:
Network-wide passenger travel patterns

Felipe Bedoya Maya, Agustina Calatayud, Francisca Giraldez and Santiago Sánchez GonzálezUrban mobility patterns and the spatial distribution of infection in Santiago de Chile  
Mark McCord, Rabi Mishalani and Diego Ribeiro de Oliveira GaldinoUsing APC Data to Investigate Changes in City-wide Transit Origin-destination Flows from Deliberate Interventions or Exogenous Events
Francesco Ferranti and Oded Cats  Spatial-temporal clustering of travel patterns using smart card data

18:00-19:15 Session 4:
Public transport service reliability analysis

Banafsheh Mehri, Martin Trépanier and Yves GoussardAnalysis of Tweets to characterize incidents in a metro network
Zack Aemmer, Andisheh Ranjbari and Don MacKenzieMeasurement and Classification of Transit Delays Using GTFS-RT Data: Converting GPS Coordinates to Performance Metrics
Nir Ron and Yuval HadasPublic Transport Transfers Reliability Assessment Based on Machine Learning Techniques

19:15-19:30 Looking forward to CASPT and TransitData 2022 (Yuval Hadas)