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Ridership estimation of a new LRT system

Direct demand model approach

Bibliographic Data

ID12294792
AuthorsΚωνσταντίνος Κεπαπτσόγλου (0000-0002-5505-6998, National Technical University of Athens, corresponding author), Antony Stathopoulos (0000-0003-0577-8527, National Technical University of Athens), Matthew G Karlaftis (National Technical University of Athens)
Year2016
Volume58
Pages146-156
Publication date2016-12-10
Open AccessYes
TypeARTICLE
VenueJournal of Transport Geography (JOURNAL)
Journal identifiersISSN: 0966-6923 • E-ISSN: 1873-1236
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jtrangeo.2016.12.004
OpenAlexW612458659
LanguageEN
Citations received7
References cited12

Estimation · Investment (military · Light rail transit · Public transport · Quality (philosophy · Transport engineering · Computer Science · Engineering · Transportation and Mobility Innovations · Transportation Planning and Optimization · Urban Transport and Accessibility

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  • How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds

    Open Access•Chuan Ding, Xinyu Cao et al.•Journal of Transport Geography•2019

  • Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Open Access•Xiang Yan, Xinyu Liu et al.•Journal of Transport Geography•2020

  • Spatio-temporal analysis of rail station ridership determinants in the built environment

    Open Access•Yadi Zhu, Feng Chen et al.•Transportation•2019

  • Analysis of Metro ridership at station level and station-to-station level in Nanjing

    Open Access•Jinbao Zhao, Wei Deng et al.•Transportation•2014

  • Exploring the drivers of light rail ridership

    Open Access•Graham Currie, Aoife Ahern et al.•Transportation•2011

  • An analysis of Metro ridership at the station-to-station level in Seoul

    Open Access•Jinkyung Choi, Choi Jinkyung et al.•Transportation•2012

  • Transit ridership estimation with network Kriging

    Open Access•Dapeng Zhang, Xiaokun Wang•Journal of Transport Geography•2014

  • Trip end models of local rail demand in England and Wales

    Open Access•Simon Blainey•Journal of Transport Geography•2008

  • Transit ridership forecasting at station level

    Open Access•Javier Gutiérrez Puebla, Osvaldo Daniel Cardozo et al.•Journal of Transport Geography•2011

  • Impacts on travel behaviour of Greater Manchester’s light rail investment (Metrolink Phase 1)

    Open Access•M L Senior•Journal of Transport Geography•2008

  • Transit-Oriented Development's Ridership Bonus

    Open Access•Robert Cervero•Environment and Planning A…•2007

Citations per year0.88
Citation span2018 - 2025 (8)
Highly citedNo

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