Related references
Note: Only part of the references are listed.Mining metro commuting mobility patterns using massive smart card data
Juan Yong et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2021)
Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function
Wissam Qassim Al-Salih et al.
SUSTAINABILITY (2021)
Understanding travel and mode choice with emerging modes; a pooled SP and RP model in Greater Jakarta, Indonesia
Anugrah Ilahi et al.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2021)
Inferring trip purpose by clustering sequences of smart card records
Hamed Faroqi et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)
Changes in Passengers' Travel Behavior Due to COVID-19
Dong-Gyun Ku et al.
SUSTAINABILITY (2021)
Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China
Yuqiao Huang et al.
JOURNAL OF TRANSPORT GEOGRAPHY (2021)
Identifying commuters based on random forest of smartcard data
Zhenyu Mei et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2020)
Life cycle assessment of fuel cell, electric and internal combustion engine vehicles under different fuel scenarios and driving mileages in China
Zijun Yang et al.
ENERGY (2020)
Nested Logit Joint Model of Travel Mode and Travel Time Choice for Urban Commuting Trips in Xi'an, China
Shuhong Ma et al.
JOURNAL OF URBAN PLANNING AND DEVELOPMENT (2020)
Influential Factors Affecting Travelers' Mode Choice Behavior on Mass Transit in Bangkok, Thailand
Phattarasuda Witchayaphong et al.
SUSTAINABILITY (2020)
Choice behavior of tourism destination and travel mode: A case study of local residents in Hangzhou, China
Xinyi Tang et al.
JOURNAL OF TRANSPORT GEOGRAPHY (2020)
Modeling the Tourism Travel Mode and Route Choice Behaviour based on Nested Logit Model
Yigang Li et al.
2020 IEEE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING (IEEE ICITE 2020) (2020)
Unraveling the impact of travel time, cost, and transit burdens on commute mode choice for different income and age groups
Jaehyun Ha et al.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2020)
Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models
Xilei Zhao et al.
TRAVEL BEHAVIOUR AND SOCIETY (2020)
How public transport subsidy policies in China affect the average passenger load factor of a bus line
Xianghao Shen et al.
RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT (2020)
Improved algorithms for trip-chain estimation using massive student behaviour data from urban transit systems
Jiamin Cong et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2019)
Weather and daily mobility in international perspective: A cross-comparison of Dutch, Norwegian and Swedish city regions
Lars Bocker et al.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2019)
Data-driven stochastic transit assignment modeling using an automatic fare collection system
Seung Hoon Cheon et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
A More Flexible Model or Simply More Effort? On the Use of Correlated Random Parameters in Applied Choice Studies
Petr Mariel et al.
ECOLOGICAL ECONOMICS (2018)
The changing influences on commuting mode choice in urban England under Peak Car: A discrete choice modelling approach
Anna K. M. Keyes et al.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2018)
CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-domain Urban Big Data
Xiaoliang Fan et al.
2018 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES (IEEE ICWS 2018) (2018)
Riders on the storm: Exploring weather and seasonality effects on commute mode choice in Chicago
Michael Hyland et al.
TRAVEL BEHAVIOUR AND SOCIETY (2018)
Determinants of travel mode choices of post-secondary students in a large metropolitan area: The case of the city of Toronto
Md Sami Hasnine et al.
JOURNAL OF TRANSPORT GEOGRAPHY (2018)
Analysis of variability in multi-day GPS imputed activity-travel diaries using multi-dimensional sequence alignment and panel effects regression models
Jianchuan Xianyu et al.
TRANSPORTATION (2017)
Effects of cost adjustment on travel mode choice: analysis and comparison of different logit models
Tongzhou Bai et al.
WORLD CONFERENCE ON TRANSPORT RESEARCH - WCTR 2016 (2017)
Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city
Qing Shen et al.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2016)
The Gothenburg congestion charge scheme: A pre-post analysis of commuting behavior and travel satisfaction
David Andersson et al.
JOURNAL OF TRANSPORT GEOGRAPHY (2016)
Is car drivers' response to congestion charging schemes based on the correct perception of price signals?
Heike Link
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2015)
A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data
Le-Minh Kieu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)
Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice
Marcel Paulssen et al.
TRANSPORTATION (2014)
Behavioural data mining of transit smart card data: A data fusion approach
Takahiko Kusakabe et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Mode Choice Behavior of Commuters in Thiruvananthapuram City
R. Ashalatha et al.
JOURNAL OF TRANSPORTATION ENGINEERING (2013)
Mining smart card data for transit riders' travel patterns
Xiaolei Ma et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)
Effect of Parking Charges at Transit Stations on Park-and-Ride Mode Choice Lessons Learned from Stated Preference Survey in Greater Vancouver, Canada
Khandker Nurul Habib et al.
TRANSPORTATION RESEARCH RECORD (2013)
Cross-nested logit model for the joint choice of residential location, travel mode, and departure time
Liya Yang et al.
HABITAT INTERNATIONAL (2013)
Exploring day-to-day variability in time use for household members
Hejun Kang et al.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2010)
Bayesian and classical estimation of mixed logit: An application to genetic testing
Dean A. Regier et al.
JOURNAL OF HEALTH ECONOMICS (2009)
An equilibrium model for urban transit assignment based on game theory
Lian-Ju Sun et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2007)
Congestion tolls and parking fees: A comparison of the potential effect on travel behavior
Gila Albert et al.
TRANSPORT POLICY (2006)
The Mixed Logit model: The state of practice
DA Hensher et al.
TRANSPORTATION (2003)
Share Paper
