Passenger demand forecasting in scheduled transportation

Banerjee, Nilabhra and Morton, Alec and Akartunali, Kerem (2019) Passenger demand forecasting in scheduled transportation. European Journal of Operational Research. ISSN 0377-2217

[img] Text (Banerjee-etal-EJOR-2019-Passenger-demand-forecasting-in-scheduled-transportation)
EJOR_2019_final.pdf
Accepted Author Manuscript
Restricted to Repository staff only until 30 October 2021.
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo
Download (389kB) | Request a copy from the Strathclyde author

    Abstract

    The aim of this review article is to provide a synoptic and critical evaluation of the extensive research that has been performed in demand forecasting in the scheduled passenger transportation industry, specifically in the last few decades. The review begins with an attempt to classify and tabulate the research according to the properties of proposed models, their objectives and application areas in industry in different stages of the planning cycle. This is followed by an assessment of forecast methodologies with suggestions on different methodologies that industry practitioners can adopt to suit their specific needs and recommendations towards future directions of research. We also provide a look into the cross cutting concerns that need to be addressed by all forecasting systems irrespective of the domain or planning stage, such as demand unconstraining, aggregation and the role of expert judgement to incorporate the effect of other extraneous factors that might affect the demand. We conclude from our study that there is a lack of standardization in the way in which methods are described and tested. As a result, there is a lack of cumulative knowledge building. To redress this concern, we propose open source testbeds to facilitate benchmarking of new models. We also propose a checklist as a guideline to standardize the research reports and suggest that when proposing newer models, researchers may consider including a comparative study with existing standard models in research report.

    Creators(s): Banerjee, Nilabhra ORCID logoORCID: https://orcid.org/0000-0002-8993-0882, Morton, Alec ORCID logoORCID: https://orcid.org/0000-0003-3803-8517 and Akartunali, Kerem ORCID logoORCID: https://orcid.org/0000-0003-0169-3833;
    Item type:Article
    ID code:70560
    Keywords:demand forecasting, transportation, seat inventory management, strategic planning, budget planning, Management. Industrial Management, Strategy and Management
    Subjects:Social Sciences > Industries. Land use. Labor > Management. Industrial Management
    Department:Strathclyde Business School > Management Science
    Strategic Research Themes > Health and Wellbeing
    Strategic Research Themes > Ocean, Air and Space
    Depositing user: Pure Administrator
    Date deposited:18 Nov 2019 16:16
    Last modified:22 May 2020 02:57
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/70560
    Export data:
    CORE (COnnecting REpositories)