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Public Transport, Volume 16
Volume 16, Number 1, March 2024
- Tommaso Schettini, Michel Gendreau, Ola Jabali, Federico Malucelli:
A pattern-based timetabling strategy for a short-turning metro line. 1-37 - Nathalie Marion Frieß, Ulrich Pferschy:
Planning a zero-emission mixed-fleet public bus system with minimal life cycle cost. 39-79 - Frédéric Collin, Arthur Dupuy, Isabelle Parrot, Ismaël Barbara, Gérard Dray, Sophie Martin, Lionel Brunel:
The effects of ambient scent on olfactory comfort and attitude toward its use in a tramway: an on-board study. 81-97 - Åse Jevinger, Chunli Zhao, Jan A. Persson, Paul Davidsson:
Artificial intelligence for improving public transport: a mapping study. 99-158 - Flavien Balbo, René Mandiau, Mahdi Zargayouna:
Extended review of multi-agent solutions to Advanced Public Transportation Systems challenges. 159-186 - Kofi Obeng:
Incentivizing public transit to improve performance to meet the programmatic goal of a funding agency. 187-212 - Stabak Roy, Gabriella Mazzulla, Samrat Hore, Saptarshi Mitra:
Exploring the passengers' socio-economic structure and its impact on the perception of railway infrastructures and services in Tripura, India. 213-240 - Grazyna Rosa:
Sustainable development of passenger transport in Poland in the context of young passengers' preference survey. 241-268 - Rafael Milani Medeiros, Fábio Duarte, Iva Bojic, Yang Xu, Paolo Santi, Carlo Ratti:
Merging transport network companies and taxis in Curitiba's BRT system. 269-293 - Alberto Dianin, Michael Gidam, Georg Hauger:
What can be done with today's budget and demand? Scenarios of rural public transport automation in Mühlwald (South Tyrol). 295-332
Volume 16, Number 2, June 2024
- Saipraneeth Devunuri, Shirin Qiam, Lewis J. Lehe:
ChatGPT for GTFS: benchmarking LLMs on GTFS semantics... and retrieval. 333-357 - Thomas Horstmannshoff, Michael Redmond:
Identifying alternative stops for first and last-mile urban travel planning. 359-379 - Calum MacRury, Nykyta Polituchyi, Pawel Pralat, Kinga Siuta, Przemyslaw Szufel:
Optimizing transport frequency in multi-layered urban transportation networks for pandemic prevention. 381-418 - Frederik R. Bachmann, Antonios Tsakarestos, Fritz Busch, Klaus Bogenberger:
State of the art of passenger redirection during incidents in public transport systems, considering capacity constraints. 419-447 - Arpit Shrivastava, Nishtha Rawat, Amit Agarwal:
Deep-learning-based model for prediction of crowding in a public transit system. 449-484 - Hiroaki Nishiuchi, Kohei Nishimura, An Minh Ngoc, Charitha Dias:
Identifying the relationship between intention to use flat-rate public transport and trip frequency by a discrete-continuous model. 485-504 - Benedetto Barabino, Mauro Coni, Massimo Di Francesco, Andrea Obino, Roberto Ventura:
Origin-destination matrices from smartphone apps for bus networks. 505-549 - Shamim Noor, Pawinee Iamtrakul:
A semi-systematic literature review, identifying the relationship between transit environments and women's fear of victimization in transportation systems: a global perspective. 551-581 - Sinziana I. Rasca, Bin Hu, Benjamin Biesinger, Matthias Prandtstetter:
Agent-based decision-support model for bus route redesign in networks of small cities and towns: case study of Agder, Norway. 583-618 - Jun Zhang, Qiannan Ai, Yuling Ye, Shejun Deng:
Dynamic flow analysis and crowd management for transfer stations: a case study of Suzhou Metro. 619-653
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