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An integrated multi-criteria decision making approach for selecting the starting location of railroad projects

Harun Turkoglu (Department of Civil Engineering, Istanbul Technical University, Istanbul, Turkey)
Emel Sadikoglu (Department of Civil Engineering, Gebze Technical University, Kocaeli, Turkey)
Sevilay Demirkesen (Department of Civil Engineering, Gebze Technical University, Kocaeli, Turkey)
Atilla Damci (Department of Civil Engineering, Istanbul Technical University, Istanbul, Turkey)
Serra Acar (Department of Civil Engineering, Istanbul Technical University, Istanbul, Turkey)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 27 August 2024

104

Abstract

Purpose

The successful completion of linear infrastructure construction projects such as railroads, roads, tunnels, and pipelines relies heavily on decision-making processes during planning phase. Professionals in the construction industry emphasize that determining the starting point of a linear infrastructure construction project is one of the most important decisions to be made in the planning phase. However, the existing literature does not specifically focus on selection of the starting point of the segments to be constructed. Therefore, it is of utmost importance to develop a multi-criteria decision-making (MCDM) model to support selection of the starting point of the segments to be constructed in linear infrastructure construction projects.

Design/methodology/approach

Based on the characteristics of the railroad projects and insights gathered from expert interviews, the appropriate criteria for the model were determined. Once the criteria were determined, a decision hierarchy was developed and the weights of the criteria (w_i) were calculated using DEcision MAking Trial and Evaluation Laboratory (DEMATEL) method. Then, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), COmplex PRoportional Assessment (COPRAS), and evaluation based on distance from average solution (EDAS) methods were used. The alternatives were ranked in terms of their priority with TOPSIS method based on relative closeness (Ci) of each alternative to the ideal solution, COPRAS method based on quantitative utility (Ui) for each alternative and EDAS method based on evaluation score (ASi) for all alternatives. The results were compared with each other.

Findings

The study reveals the effects of all criteria on the proposed model. The results of DEMATEL method indicated that quantity of aggregate (w_i = 0.075), ballast (w_i = 0.071), and sub-ballast (w_i = 0.069) are the most important criteria in starting location selection for railroads, where earthquake (w_i = 0.046), excavation cost (w_i = 0.054), and longest distance from borrow pit (w_i = 0.055) were found to be less important criteria. The starting location alternatives were ranked based on TOPSIS, COPRAS and EDAS methods. The A-1 alternative was selected as the most appropriate alternative (Ci = 0.64; Ui = 100%; ASi = 0.81), followed by A-6 alternative (Ci = 0.61; Ui = 97%; ASi = 0.73) and A-7 alternative (Ci = 0.59; Ui = 94%; ASi = 0.60). Even tough different methods were used, they provided compatible results where the same ranking was achieved except three alternatives.

Originality/value

This study identifies novel criteria for the starting location selection of railroad construction based on the data of a railroad project. This study uses different methods for selecting the starting location. Considering the project type and its scope, the model can be used by decision-makers in linear infrastructure projects for which efficient planning and effective location selection are critical for successful operations.

Keywords

Citation

Turkoglu, H., Sadikoglu, E., Demirkesen, S., Damci, A. and Acar, S. (2024), "An integrated multi-criteria decision making approach for selecting the starting location of railroad projects", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-06-2024-0764

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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