Submissions from 2023
Relating emotions, psychophysiological indicators and context in public transport trips: Case study and a joint framework for data collection and analysis, Carlos Barría, C. Angelo Guevara, Angel Jmenez-Molina, and Sebastian Seriani
Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile, Franco Basso, Jonathan Frez, Hugo Hernández, Víctor Leiva, Raúl Pezoa, and Mauricio Varas
Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro, Long Cheng, Jie Huang, Tanhua Jin, Wendong Chen, Aoyong Li, and Frank Witlox
City Transit Rider Tweets: Understanding Sentiments and Politeness, Subasish Das and Hamsa Abbas Zubaidi
Perception of overlap in multi-modal urban transit route choice, Malvika Dixit, Oded Cats, Ties Brands, Niels van Oort, and Serge Hoogendoorn
Estimating Intermodal Transfer Barriers to Light Rail using Smartcard Data in Seattle, WA, James Eager, Chang-Hee Christine Bae, and Edward D. McCormack
Combined Effect of Changes in Transit Service and Changes in Occupancy on Per-Passenger Energy Consumption, Huiying Fan, Hongyu Lu, Ziyi Dai, Reid Passmore, Angshuman Guin, Kari Watkins, and Randall Guensler
Understanding the land use function of station areas based on spatiotemporal similarity in rail transit ridership: A case study in Shanghai, China, Hongzan Jiao, Shibiao Huang, and Yu Zhou
Measuring activity-based social segregation using public transport smart card data, Lukas Kolkowski, Oded Cats, Malvika Dixit, Trivik Verma, Erik Jenelius, Matej Cebecauer, and Isak Jarlebring Rubensson
Trip-pair based clustering model for urban mobility of bus passengers in Macao, W. K. Ku, K. P. Kou, S. H. Lam, and K. I. Wong
Social and spatial heterogeneities in COVID-19 impacts on individual's metro use: A big-data driven causality inference, Chengcheng Liu and Wenjia Zhang
Disparities in public transit accessibility and usage by people with mobility disabilities: An evaluation using high-resolution transit data, Luyu Liu, Armita Kar, Ahmad Ilderim Tokey, Huyen T.K. Le, and Harvey J. Miller
Nonlinear effects of built environment features on metro ridership: An integrated exploration with machine learning considering spatial heterogeneity, Mengyang Liu, Yuxuan Liu, and Yu Ye
Who is returning to public transport for non-work trips after COVID-19? Evidence from older citizens' smart cards in the UK's second largest city region, Alfie Long, Ffion Carney, and Jens Kandt
Influential factors in customer satisfaction of transit services: Using crowdsourced data to capture the heterogeneity across individuals, space and time, Shuli Luo, Sylvia Y. He, Susan Grant-Muller, and Linqi Song
A novel modelling approach of integrated taxi and transit mode and route choice using city-scale emerging mobility data, Rakhi Manohar Mepparambath, Yong Sheng Soh, Vasundhara Jayaraman, Hong En Tan, and Muhamad Azfar Ramli
Decoding customer experiences in rail transport service: application of hybrid sentiment analysis, Dibya Nandan Mishra and Rajeev Kumar Panda
Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile, Raúl Pezoa, Franco Basso, Paulina Quilodrán, and Mauricio Varas
Exploring the potential role of bikeshare to complement public transit: The case of San Francisco amid the coronavirus crisis, Xiaodong Qian, Miguel Jaller, and Giovanni Circella
Is ride-hailing competing or complementing public transport? A perspective from affordability, Si Qiao and Anthony Gar-On Yeh
SentiHawkes: a sentiment-aware Hawkes point process to model service quality of public transport using Twitter data, Mohammad Masoud Rahimi, Elham Naghizade, Mark Stevenson, and Stephan Winter
Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data, Claudio Roncoli, Ektoras Chandakas, and Ioannis Kaparias
A supervised machine learning model for imputing missing boarding stops in smart card data, Nadav Shalit, Michael Fire, and Eran Ben-Elia
Evaluating the impact of waiting time reliability on route choice using smart card data, Sanmay Shelat, Oded Cats, Niels van Oort, and J. W.C. van Lint
Graph Supported Mode Detection within Mobile Phone Data Trajectories, Thomas Wischer, Michael Cik, and Martin Fellendorf
Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments, Haoning Xi, Qin Li, David A. Hensher, John D. Nelson, and Chinh Ho
How public shared bike can assist first and last mile accessibility: A case study of the MRT system in Taipei City, Taiwan, Barbara T.H. Yen, Corinne Mulley, and Chia-Jung Yeh
Transfer Penalty Estimation of Bus Passengers Considering Travel Frequency in Chengdu, China, Pengyao Ye, Yifeng Deng, Hong Yang, and Wenbo Fan
Clustering-Based Travel Pattern for Individual Travel Prediction of Frequent Passengers by Using Transit Smart Card, Pengyao Ye and Yiqing Ma
Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City, Qian Ye, Kaan Ozbay, Fan Zuo, and Xiaohong Chen
Analysis of public transit operation efficiency based on multi-source data: A case study in Brisbane, Australia, Xuexuan Zhang and Yong Wu
Structural change and spatial pattern of intentional travel groups: A case study of metro riders in Hong Kong, Mingzhi Zhou and Jiangping Zhou
Submissions from 2022
Unveiling route choice strategy heterogeneity from smart card data in a large-scale public transport network, Jacqueline Arriagada, Marcela A. Munizaga, C. Angelo Guevara, and Carlo Prato
Intrapersonal variability in public transport path choice due to changes in service reliability, Ulrik Berggren, Carmelo D'Agostino, Helena Svensson, and Karin Brundell-Freij
Public transport path choice estimation based on trip data from dedicated smartphone app survey, Ulrik Berggren, Thomas Kjær-Rasmussen, Mikkel Thorhauge, Helena Svensson, and Karin Brundell-Freij
Bayesian origin-destination estimation in networked transit systems using nodal in- and outflow counts, Steffen O.P. Blume, Francesco Corman, and Giovanni Sansavini
CIAM: A data-driven approach for classifying long-term engagement of public transport riders at multiple temporal scales, Rachel Cardell-Oliver and Doina Olaru
How do new transit stations affect people's sentiment and activity? A case study based on social media data in Hong Kong, Haoliang Chang, Jianxiang Huang, Weiran Yao, Weizun Zhao, and Lishuai Li
Transfer station choice in a multimodal transit system: An empirical study, Enhui Chen, Amanda Stathopoulos, and Yu (Marco) Nie
A knowledge graph-based method for epidemic contact tracing in public transportation, Tian Chen, Yimu Zhang, Xinwu Qian, and Jian Li
Understanding the temporal and spatial interactions between transit ridership and urban land-use patterns: an exploratory study, Merkebe Getachew Demissie and Lina Katten
The impact of new metro on travel behavior: Panel analysis using mobile phone data, Yiling Deng and Pengjun Zhao
Effects of system configurations of automated fare collection on transit trip origin–destination estimation in Greater Toronto and Hamilton Area, Ehab Diab, Siva Srikukenthiran, Eric J. Miller, and Khandker Nurul Habib
Analyzing detour behavior of metro passengers based on mobile phone data, Zhengyu Duan, Xiaolei Liu, Qing Yu, and Yi Li
Do transportation network companies increase or decrease transit ridership? Empirical evidence from San Francisco, Gregory D. Erhardt, Richard Alexander Mucci, Drew Cooper, Bhargava Sana, Mei Chen, and Joe Castiglione
The effect of dynamic lockdowns on public transport demand in times of COVID-19: Evidence from smartcard data, Benjamin Gramsch, C. Angelo Guevara, Marcela Munizaga, Daniel Schwartz, and Alejandro Tirachini
Using General Transit Feed Specification-Ride to Identify Riders’ Use of Transfer Opportunities, Sylvan Hoover, Austin Kost, and J. David Porter
Inferring origin and destination zones of transit trips through fusion of smart card transactions, travel surveys, and land-use data, Sanjana Hossain and Khandker Nurul Habib
Identifying Subway Passenger Flow under Large-Scale Events Using Symbolic Aggregate Approximation Algorithm, Hainan Huang, Rongjie Zhang, Chengguang Xie, and Xiaofeng Li
Modeling the competitiveness of a bike-sharing system using bicycle GPS and transit smartcard data, Christian Kapuku, Seung-Young Kho, Dong-Kyu Kim, and Shin-Hyung Cho
Imputing qualitative attributes for trip chains extracted from smart card data using a conditional generative adversarial network, Eui-Jin Kim, Dong-Kyu Kim, and Keemin Sohn
Frequency-based path flow estimator for transit origin-destination trip matrices incorporating automatic passenger count and automatic fare collection data, Guoyuan Li and Anthony Chen
The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area, Alessio D. Marra, Linghang Sun, and Francesco Corman
Inferring passenger responses to urban rail disruptions using smart card data: A probabilistic framework, Baichuan Mo, Haris N. Koutsopoulos, and Jinhua Zhao
Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data, Christian Martin Mützel and Joachim Scheiner
Activity-based TOD typology for seoul transit station areas using smart-card data, Yonggeun Shin, Dong-Kyu Kim, and Eui-Jin Kim
Relationship analysis of short-term origin–destination prediction performance and spatiotemporal characteristics in urban rail transit, Chunyan Shuai, Jun Shan, Jincheng Bai, Jaeyoung Lee, Min He, and Xin Ouyang
Public transport reliability across preferences, modes, and space, Jaime Soza-Parra, Sebastián Raveau, and Juan Carlos Muñoz
Unraveling the relative contribution of TOD structural factors to metro ridership: A novel localized modeling approach with implications on spatial planning, Shiliang Su, Chong Zhao, Hao Zhou, Bozhao Li, and Mengjun Kang
Examining the Discrepancies between Self-Reported and Actual Commuting Behavior at the Individual Level, Tianya Su, M. Elena Renda, and Jinhua Zhao
Optimizing bus line platform assignment across bus stations in Utrecht, Wouter ten Bosch, J. A. (Han) Hoogeveen, and Marcel E. van Kooten Niekerk
Bus OD matrix reconstruction based on clustering Wi-Fi probe data, Yunshan Wang, Wenbo Zhang, Tianli Tang, Dazhong Wang, and Zhiyuan Liu
Understanding the ground access and airport choice behavior of air passengers using transit payment transaction data, Zi-Jia Wang, Hui-Hui Jia, Fangzhou Dai, and Mi Diao
How does the weather affect public transit ridership? A model with weather-passenger variations, Ming Wei
Measuring and visualising ‘familiar strangers’ among transit riders: An exploratory study of Brisbane, Australia, Min Zhang, Renee Zahnow, Jiangping Zhou, and Jonathan Corcoran
Naïve Bayes-Based Transition Model for Short-Term Metro Passenger Flow Prediction under Planned Events, Yangyang Zhao and Zhenliang Ma
Short-Term Metro Ridership Prediction During Unplanned Events, Yangyang Zhao, Zhenliang Ma, Xinguo Jiang, and Haris N. Koutsopoulos
Submissions from 2021
Measuring destination-based segregation through mobility patterns: Application of transport card data, Sorath Abbasi, Joonho Ko, and Jaehong Min
Evaluation of bus bridging scenarios for railway service disruption management: a users’ delay modelling tool, Aya Aboudina, Alaa Itani, Ehab Diab, Siva Srikukenthiran, and Amer Shalaby
Before-and-after evaluation of a bus network improvement using performance indicators from historical smart card data, Renato Arbex, Claudio Barbieri da Cunha, and Roberto Speicys
Cross-Checking Automated Passenger Counts for Ridership Analysis, Simon Berrebi, Sanskruti Joshi, and Kari Watkins
Probabilistic model for destination inference and travel pattern mining from smart card data, Zhanhong Cheng, Martin Trépanier, and Lijun Sun
Impacts of long-term service disruptions on passenger travel behaviour: A smart card analysis from the Greater Copenhagen area, Morten Eltved, Nils Breyer, Jesper Bláfoss Ingvardson, and Otto Anker Nielsen
Estimation of transfer walking time distribution in multimodal public transport systems based on smart card data, Morten Eltved, Philip Lemaitre, and Niklas Christoffer Petersen
BRT fare elasticities from smartcard data: Spatial and time-of-the-day differences, Luis A. Guzman, Carlos Beltran, Jorge A. Bonilla, and Santiago Gomez Cardona
Automated extraction of origin-destination demand for public transportation from smartcard data with pattern recognition, Homayoun Hamedmoghadam, Hai L. Vu, Mahdi Jalili, Meead Saberi, Lewi Stone, and Serge Hoogendoorn
Multi-Objective Optimization for Skip-Stop Strategy Based on Smartcard Data Considering Total Travel Time and Equity, Sang-Wook Han, Eun Hak Lee, and Dong-Kyu Kim
Space–time classification of public transit smart card users’ activity locations from smart card data, Li He, Martin Trépanier, and Bruno Agard
Frequent-pattern growth algorithm based association rule mining method of public transport travel stability, Song Hu, Quan Liang, Huimin Qian, Jiancheng Weng, Wei Zhou, and Pengfei Lin
Transit OD matrix estimation using smartcard data: Recent developments and future research challenges, Etikaf Hussain, Ashish Bhaskar, and Edward Chung
A procedure for public transit OD matrix generation using smart card transaction data, Masood Jafari Kang, Shervin Ataeian, and S. M. Mahdi Amiripour
Assessing and Predicting Mobility Improvement of Integrating Bike-Sharing into Multimodal Public Transport Systems, Christian Kapuku, Seung-Young Kho, Dong-Kyu Kim, and Shin-Hyung Cho
Estimation and Mitigation of Epidemic Risk on a Public Transit Route using Automatic Passenger Count Data, Pramesh Kumar, Alireza Khani, Eric Lind, and John Levin
Estimating Express Train Preference of Urban Railway Passengers Based on Extreme Gradient Boosting (XGBoost) using Smart Card Data, Eun Hak Lee, Kyoungtae Kim, Seung-Young Kho, Dong-Kyu Kim, and Shin-Hyung Cho
Minimum entropy rate-improved trip-chain method for origin–destination estimation using smart card data, Da Lei, Xuewu Chen, Long Cheng, Lin Zhang, Pengfei Wang, and Kailai Wang
Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference, Can Li, Lei Bai, Wei Liu, Lina Yao, and S. Travis Waller
Comparison of Door-to-Door Transit Travel Time Estimation Using Schedules, Real-Time Vehicle Arrivals, and Smartcard Inference Methods, Ting Li, Patrick Meredith-Karam, Hui Kong, Anson Stewart, John P. Attanucci, and Jinhua Zhao
Examining public transport usage by older adults with smart card data: A longitudinal study in Japan, Shasha Liu, Toshiyuki Yamamoto, Enjian Yao, and Toshiyuki Nakamura
Spatial-interaction network analysis of built environmental influence on daily public transport demand, Xintao Liu, Jiawei Wu, Jianwei Huang, Junwei Zhang, Bi Yu Chen, and Anthony Chen
Understanding gender difference in perceptions toward transit services across space and time: A social media mining approach, Shuli Luo and Sylvia Y. He
Quantifying service-reliability-based day-to-day evolution of travel choices in public transit systems with smart transit card data, Mingyou Ma, Wei Liu, Xinwei Li, Fangni Zhang, Sisi Jian, and Vinayak Dixit
Modeling epidemic spreading through public transit using time-varying encounter network, Baichuan Mo, Kairui Feng, Yu Shen, Clarence Tam, Daqing Li, Yafeng Yin, and Jinhua Zhao
Big data for big issues: Revealing travel patterns of low-income population based on smart card data mining in a global south unequal city, Caio Pieroni, Mariana Giannotti, Bianca B. Alves, and Renato Arbex
Identifying attributes of public transport services for urban tourists: A data-mining method, Yael Ram, Ayelet Gal-Tzur, and Amit Rechavi
Generating demand responsive bus routes from social network data analysis, Lidia Sala, Steve Wright, Caitlin Cottrill, and Emilio Flores-Sola
The boundary between random and non-random passenger arrivals: Robust empirical evidence and economic implications, Ramandeep Singh, Daniel J. Graham, Daniel Hörcher, and Richard J. Anderson
Investigating the determinants to retain spurious-loyalty passengers: A data-fusion based approach, Shichao Sun, Lingyu Xu, Yukun Yao, and Zhengyu Duan
Estimating the route-level passenger demand profile from bus dwell times, Wenzhe Sun, Jan-Dirk Schmöcker, and Koji Fukuda
Multi-stage deep learning approaches to predict boarding behaviour of bus passengers, Tianli Tang, Achille Fonzone, Ronghui Liu, and Charisma Choudhury