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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

PUBLISHED
11.09.2018
LICENSE
Copyright (c) 2024 Tomislav Josip Mlinarić, Boban Đorđević, Evelin Krmac

Evaluation Framework for Key Performance Indicators of Railway ITS

Authors:

Tomislav Josip Mlinarić
University of Zagreb, Faculty of Transport and Traffic Sciences

Boban Đorđević
University of Ljubljana, Faculty of Maritime Studies and Transport

Evelin Krmac
University of Ljubljana, Faculty of Maritime Studies and Transport

Keywords:framework, railway, Intelligent Transportation Systems, group decision making, identification, evaluation, sustainable railway

Abstract

The aim of this study is to develop a framework for investigating a comprehensive set of Key Performance Indicators (KPIs) for the assessment of railway Intelligent Transportation Systems (ITS). The framework is established through four main steps: (1) development of a comprehensive set of KPIs for railway ITS; (2) validation of developed KPIs and collection of judgments from experts through a Delphi questionnaire; (3) evaluation of KPIs weights for assessing railway ITS with the Group Analytical Hierarchy Process (GAHP); and (4) presentation of a SWOT analysis for the developed KPIs by the authors. The results of the framework are presented as a set of 25 indicators for evaluation of railway ITS and their impacts. The framework could be helpful for selecting KPIs of ITS in another mode of transportation. Monitoring of the contributions of ITS towards sustainable railway can be achieved by a developed set of indicators which are classified in accordance with sustainable dimensions.

References

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    How to Cite
    Mlinarić, T. (et al.) 2018. Evaluation Framework for Key Performance Indicators of Railway ITS. Traffic&Transportation Journal. 30, 4 (Sep. 2018), 491-500. DOI: https://doi.org/10.7307/ptt.v30i4.2774.

    SPECIAL ISSUE IS OUT

    Guest Editor: Eleonora Papadimitriou, PhD

    Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD


    Accelerating Discoveries in Traffic Science |
    2024 © Promet - Traffic&Transportation journal