Public Transport
2009 - 2025
Current editor(s): Stefan Voß From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
Volume 17, issue 2, 2025
- TransitGPT: a generative AI-based framework for interacting with GTFS data using large language models pp. 319-345

- Saipraneeth Devunuri and Lewis Lehe
- Modeling passenger loyalty in intercity rail services using a generalized ordered logit model pp. 347-366

- Pedram Akbari, Mahmoud Mesbah and Morteza Bagheri
- Deep learning-based public transit passenger flow prediction model: integration of weather and temporal attributes pp. 367-390

- Nithin K. Shanthappa, Raviraj H. Mulangi and Harsha M. Manjunath
- Forecasting public transit ridership amidst COVID-19: a machine learning approach pp. 391-420

- Muhammad Shah Zeb, Muhammad Asif Khan, Muhammad Muzzamil Hussain Khattak, Sameer Ud-Din, Muhammad Faisal Habib and Muhammad Zaheer Khan
- Updating origin–destination matrices and link probabilities in public transportation networks pp. 421-447

- M. Victoria Chávez-Hernández, Yasmín Á. Ríos-Solís, L. Héctor Juárez Valencia and Roger Z. Ríos-Mercado
- Automatic operational diagnostics of tram tracks under load pp. 449-480

- Michal Starý and Ondřej Matúšek
- An urban infrastructure design for a light rail system in Jordan pp. 481-503

- Sharaf AlKheder, Waleed Abdullah, Hussain Sayegh and Wasan AlKhamees
- TOD-related features and station-level ridership: insights from the Jakarta Metropolitan Area, Indonesia pp. 505-527

- Alyas Widita, Ikaputra and Dyah T. Widyastuti
- Built environment and public electric vehicle charging: an investigation using POI data and computer vision pp. 529-563

- Junfeng Jiao and Seung Jun Choi
- Modeling transit travel times for predicting equity improvements pp. 565-590

- Phillip R. Carleton and J. David Porter
- The impact of weather on public bus ridership: empirical findings from Chenzhou, China pp. 591-610

- Jinhua Li and Jie Cao
Volume 17, issue 1, 2025
- Scaling up public transport usage: a systematic literature review of service quality, satisfaction and attitude towards bus transport systems in developing countries pp. 1-44

- Eugene Sogbe, Susilawati Susilawati and Tan Chee Pin
- Rail-based public transportation service quality and customer satisfaction: a decade of insights and advances pp. 45-69

- Sanusi Ibrahim, Yinggui Zhang and Abdulaziz Ahmad
- A low-cost automatic people-counting system at bus stops using Wi-Fi probe requests and deep learning pp. 71-100

- Cristina Pronello, Deepan Anbarasan, Felipe Spoturno and Giulia Terzolo
- A mathematical programming model and dispatching rules for the repatriation program scheduling problem pp. 101-120

- Sameh Al-Shihabi, Yousef Al-Abdallat and Motasem N. Saidan
- Proposing a model for predicting passenger origin–destination in online taxi-hailing systems pp. 121-151

- Pouria Golshanrad, Hamid Mahini and Behnam Bahrak
- Urban transport during the COVID-19 pandemic: a case study of Poland pp. 153-176

- Michal Zajfert
- A dynamic simulation model to improve the livability of transportation systems pp. 177-220

- Erma Suryani, Rully Agus Hendrawan, Philip Faster Eka Adipraja, Basuki Widodo, Shuo-Yan Chou and Alifia Az-Zahra
- Computer vision for transit travel time prediction: an end-to-end framework using roadside urban imagery pp. 221-246

- Awad Abdelhalim and Jinhua Zhao
- The effect of locating public transit stations on their walking accessibility using an actual street network pp. 247-266

- Muhammad Zaheer Khan, Muhammad Asif Khan, Muhammad Muzzamil Hussain Khattak, Muhammad Faisal Habib and Muhammad Shah Zeb
- Traffic signal priority control for public transport rapid transit based on a step-by-step prediction algorithm pp. 267-280

- Kwang-Myong Jon, Kwang-Bok Han, Chon-Il Jo and Chon-Ung Kim
- Predicting travel demand of a bike sharing system using graph convolutional neural networks pp. 281-317

- Ali Behroozi and Ali Edrisi
Volume 16, issue 3, 2024
- Advanced systems and data analysis in public transport pp. 655-656

- Yuval Hadas, Avishai Avi Ceder and Oded Cats
- Modulated spatiotemporal clustering of smart card users pp. 657-680

- Rémi Decouvelaere, Martin Trépanier and Bruno Agard
- Demonstrating the feasibility of using Wi-Fi sensors for dynamic bus-stop queue length estimation pp. 681-698

- Hyungsub Jee, Wenzhe Sun, Jan-Dirk Schmöcker and Toshiyuki Nakamura
- Incorporating equity in multi-objective optimal spatial budget allocation of transit services by tessellating the urban continuum pp. 699-741

- Filippos Alogdianakis and Loukas Dimitriou
- A systematic review on crowding valuation in public transport pp. 743-773

- Rupam Fedujwar and Amit Agarwal
- Revisiting the richness of integrated vehicle and crew scheduling pp. 775-801

- Liping Ge, Natalia Kliewer, Abtin Nourmohammadzadeh, Stefan Voß and Lin Xie
- GPS-based incident detection algorithm for two-lane bus rapid transit systems: case study of Istanbul Metrobus pp. 803-829

- Sadullah Goncu and Ismail Sahin
- To ride-hail or not to ride-hail? Complementarity and competition between public transit and transportation network companies through the lens of app data pp. 831-854

- Hengfang Deng, Edgar Castro, Sage Gibbons, Justin Benedictis-Kessner, Ryan Qi Wang and Daniel T. O’Brien
- Beyond the last mile: different spatial strategies to integrate on-demand services into public transport in a simplified city pp. 855-892

- Andres Fielbaum, Sergio Jara-Diaz and Javier Alonso-Mora
- G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data pp. 893-928

- Sirapop Para, Thanachok Wirotsasithon, Thanisorn Jundee, Merkebe Getachew Demissie, Yoshihide Sekimoto, Filip Biljecki and Santi Phithakkitnukoon
- Contribution of built environment factors and their interactions with subway station ridership pp. 929-965

- Zhenbao Wang, Shihao Li, Jiarui Song, Shuyue Liu, Dong Liu and Jianlin Jia
Volume 16, issue 2, 2024
- ChatGPT for GTFS: benchmarking LLMs on GTFS semantics... and retrieval pp. 333-357

- Saipraneeth Devunuri, Shirin Qiam and Lewis J. Lehe
- Identifying alternative stops for first and last-mile urban travel planning pp. 359-379

- Thomas Horstmannshoff and Michael Redmond
- Optimizing transport frequency in multi-layered urban transportation networks for pandemic prevention pp. 381-418

- Calum MacRury, Nykyta Polituchyi, Paweł Prałat, Kinga Siuta and Przemysław Szufel
- State of the art of passenger redirection during incidents in public transport systems, considering capacity constraints pp. 419-447

- Frederik R. Bachmann, Antonios Tsakarestos, Fritz Busch and Klaus Bogenberger
- Deep-learning-based model for prediction of crowding in a public transit system pp. 449-484

- Arpit Shrivastava, Nishtha Rawat and Amit Agarwal
- Identifying the relationship between intention to use flat-rate public transport and trip frequency by a discrete-continuous model pp. 485-504

- Hiroaki Nishiuchi, Kohei Nishimura, An Minh Ngoc and Charitha Dias
- Origin–destination matrices from smartphone apps for bus networks pp. 505-549

- Benedetto Barabino, Mauro Coni, Massimo Francesco, Andrea Obino and Roberto Ventura
- A semi-systematic literature review, identifying the relationship between transit environments and women’s fear of victimization in transportation systems: a global perspective pp. 551-581

- Shamim Noor and Pawinee Iamtrakul
- Agent-based decision-support model for bus route redesign in networks of small cities and towns: case study of Agder, Norway pp. 583-618

- Sinziana I. Rasca, Bin Hu, Benjamin Biesinger and Matthias Prandtstetter
- Dynamic flow analysis and crowd management for transfer stations: a case study of Suzhou Metro pp. 619-653

- Jun Zhang, Qiannan Ai, Yuling Ye and Shejun Deng
Volume 16, issue 1, 2024
- A pattern-based timetabling strategy for a short-turning metro line pp. 1-37

- Tommaso Schettini, Michel Gendreau, Ola Jabali and Federico Malucelli
- Planning a zero-emission mixed-fleet public bus system with minimal life cycle cost pp. 39-79

- Nathalie Marion Frieß and Ulrich Pferschy
- The effects of ambient scent on olfactory comfort and attitude toward its use in a tramway: an on-board study pp. 81-97

- Frédéric Collin, Arthur Dupuy, Isabelle Parrot, Ismaël Barbara, Gérard Dray, Sophie Martin and Lionel Brunel
- Artificial intelligence for improving public transport: a mapping study pp. 99-158

- Å. Jevinger, C. Zhao, J. A. Persson and P. Davidsson
- Extended review of multi-agent solutions to Advanced Public Transportation Systems challenges pp. 159-186

- Flavien Balbo, René Mandiau and Mahdi Zargayouna
- Incentivizing public transit to improve performance to meet the programmatic goal of a funding agency pp. 187-212

- Kofi Obeng
- Exploring the passengers’ socio-economic structure and its impact on the perception of railway infrastructures and services in Tripura, India pp. 213-240

- Stabak Roy, Gabriella Mazzulla, Samrat Hore and Saptarshi Mitra
- Sustainable development of passenger transport in Poland in the context of young passengers’ preference survey pp. 241-268

- Grażyna Rosa
- Merging transport network companies and taxis in Curitiba’s BRT system pp. 269-293

- Rafael Milani Medeiros, Fábio Duarte, Iva Bojic, Yang Xu, Paolo Santi and Carlo Ratti
- What can be done with today’s budget and demand? Scenarios of rural public transport automation in Mühlwald (South Tyrol) pp. 295-332

- Alberto Dianin, Michael Gidam and Georg Hauger
| |