Estimating the activity types of transit travelers using smart card transaction data: a case study of Singapore
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Estimating the activity types of transit travelers using smart card transaction data: a case study of Singapore
Authors
Keywords
Activity inference, Transit smart card data, Spatio-temporal correspondence, Urban sensing, Activity landscape
Journal
TRANSPORTATION
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-05-15
DOI
10.1007/s11116-018-9881-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Real-time trip purpose prediction using online location-based search and discovery services
- (2017) Alireza Ermagun et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Measuring Spatial Dependence for Infectious Disease Epidemiology
- (2016) Justin Lessler et al. PLoS One
- Activity detection and transfer identification for public transit fare card data
- (2015) Neema Nassir et al. TRANSPORTATION
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- A Tale of Two “Forests”: Random Forest Machine Learning Aids Tropical Forest Carbon Mapping
- (2014) Joseph Mascaro et al. PLoS One
- Behavioural data mining of transit smart card data: A data fusion approach
- (2014) Takahiko Kusakabe et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Evaluation of Two Methods for Identifying Trip Purpose in GPS-Based Household Travel Surveys
- (2014) Marcelo G. Simas Oliveira et al. TRANSPORTATION RESEARCH RECORD
- Trip Purpose Identification from GPS Tracks
- (2014) Lara Montini et al. TRANSPORTATION RESEARCH RECORD
- Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data
- (2013) Jason B. Gordon et al. TRANSPORTATION RESEARCH RECORD
- Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile
- (2012) Marcela A. Munizaga et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Predicting disease risks from highly imbalanced data using random forest
- (2011) Mohammed Khalilia et al. BMC Medical Informatics and Decision Making
- Smart card data use in public transit: A literature review
- (2011) Marie-Pier Pelletier et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Estimation method for railway passengers’ train choice behavior with smart card transaction data
- (2010) Takahiko Kusakabe et al. TRANSPORTATION
- Service Reliability Measurement Using Automated Fare Card Data
- (2010) David L. Uniman et al. TRANSPORTATION RESEARCH RECORD
- Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data
- (2009) Catherine Seaborn et al. TRANSPORTATION RESEARCH RECORD
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now