Submissions from 2023
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
Is ride-hailing competing or complementing public transport? A perspective from affordability, Si Qiao and Anthony Gar-On Yeh
Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data, Claudio Roncoli, Ektoras Chandakas, and Ioannis Kaparias
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
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
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
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
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
Derivation of train arrival timings through correlations from individual passenger farecard data, Hong En Tan, De Wen Soh, Yong Sheng Soh, and Muhamad Azfar Ramli
Taking the path less travelled: Valuation of denied boarding in crowded public transport systems, Menno Yap and Oded Cats
Understanding the travel behaviors and activity patterns of the vulnerable population using smart card data: An activity space-based approach, Shanqi Zhang, Yu Yang, Feng Zhen, Tashi Lobsang, and Zhixuan Li
Unveiling transit mobility structure towards sustainable cities: An integrated graph embedding approach, Tong Zhang, Xiaoqi Duan, and Yicong Li
Virus Transmission Risk in Urban Rail Systems: Microscopic Simulation-Based Analysis of Spatio-Temporal Characteristics, Jiali Zhou and Haris N. Koutsopoulos
Transit-based accessibility and urban development: An exploratory study of Shenzhen based on big and/or open data, Jiangping Zhou and Yuling Yang
Passenger itinerary inference model for congested urban rail networks, Yiwen Zhu, Haris N. Koutsopoulos, and Nigel H.M. Wilson
Short-term forecasts on individual accessibility in bus system based on neural network model, Yufan Zuo, Xiao Fu, Zhiyuan Liu, and Di Huang
Submissions from 2020
Examining impacts of time-based pricing strategies in public transportation: A study of Singapore, Muhammad Adnan, Bat-hen Nahmias Biran, Vishnu Baburajan, Kakali Basak, and Moshe Ben-Akiva
Estimating the influence of crowding and travel time variability on accessibility to jobs in a large public transport network using smart card big data, Renato Arbex and Claudio B. Cunha
Improving alighting stop inference accuracy in the trip chaining method using neural networks, Behrang Assemi, Azalden Alsger, Mahboobeh Moghaddam, Mark Hickman, and Mahmoud Mesbah
An evaluation of the benefits of mobile fare payment technology from the user and operator perspectives, Candace Brakewood, Abubakr Zeidan, Sara J. Hendricks, Sean J. Barbeau, and Ann Joslin
Can we estimate accurately fare evasion without a survey? Results from a data comparison approach in Lyon using fare collection data, fare inspection data and counting data, Oscar Egu and Patrick Bonnel
How comparable are origin-destination matrices estimated from automatic fare collection, origin-destination surveys and household travel survey? An empirical investigation in Lyon, Oscar Egu and Patrick Bonnel
Demand responsive transport: Generation of activity patterns from mobile phone network data to support the operation of new mobility services, Patrizia Franco, Ryan Johnston, and Ecaterina McCormick
Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations, Zuoxian Gan, Min Yang, Tao Feng, and Harry Timmermans
Assessing operation and customer perception characteristics of high frequency local and limited-stop bus service in Vancouver, Canada, Emily Grisé and Ahmed El-Geneidy
Short run fare elasticities for Bogotá’s BRT system: ridership responses to fare increases, Luis A. Guzman, Santiago Gomez, and Carlos Alberto Moncada
Demand management of congested public transport systems: a conceptual framework and application using smart card data, Anne Halvorsen, Haris N. Koutsopoulos, Zhenliang Ma, and Jinhua Zhao
A passenger-pedestrian model to assess platform and train usage from automated data, Flurin S. Hänseler, Jeroen P.A. van den Heuvel, Oded Cats, Winnie Daamen, and Serge P. Hoogendoorn
A classification of public transit users with smart card data based on time series distance metrics and a hierarchical clustering method, Li He, Bruno Agard, and Martin Trépanier
Characterizing co-modality in urban transit systems from a passengers’ perspective, Naima Islam, Md Abu Sufian Talukder, Alex Hainen, and Travis Atkison
Personalized predictive public transport crowding information with automated data sources, Erik Jenelius
Assessment of the transit ridership prediction errors using AVL/APC data, You-Jin Jung and Jeffrey M. Casello
Network–wide prediction of public transportation ridership using spatio–temporal link–level information, Stephan Karnberger and Constantinos Antoniou
Calibration of a transit route choice model using revealed population data of smartcard in a multimodal transit network, Ikki Kim, Hyoung-Chul Kim, Dong-Jeong Seo, and Jung In Kim
Integrated impacts of public transport travel and travel satisfaction on quality of life of older people, Junghwa Kim, Jan-Dirk Schmöcker, Toshiyuki Nakamura, Nobuhiro Uno, and Takenori Iwamoto
Estimation of metro network passenger delay from individual trajectories, Panchamy Krishnakumari, Oded Cats, and Hans van Lint
Inferring temporal motifs for travel pattern analysis using large scale smart card data, Da Lei, Xuewu Chen, Long Cheng, Lin Zhang, Satish V. Ukkusuri, and Frank Witlox
Identifying the spatial distribution of public transportation trips by node and community characteristics, Jun Li, Peiqing Zheng, and Wenna Zhang
Understanding public transit patterns with open geodemographics to facilitate public transport planning, Yunzhe Liu and Tao Cheng
A differential privacy-based privacy-preserving data publishing algorithm for transit smart card data, Yang Li, Dasen Yang, and Xianbiao Hu
Capacity-Constrained Network Performance Model for Urban Rail Systems, Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, and Jinhua Zhao