Artículo

Analytic hierarchy process in transportation decision-making: A two-staged review on the themes and trends of two decades

Resumen

The utilization of various multi-criteria decision-making methods has spread in the field of transportation, which presents challenge when identifying the most relevant research topics and applied methods. This paper uses the combination of two advanced review methodologies, the bibliometric review approach and the systematic review approach, to investigate how the well-known analytic hierarchy process (AHP) has been used to support transportation-related decisions in the last two decades. A total of 2659 scientific documents are screened, and the keywords are identified by the bibliometric analysis, while the systematic review analyzes 108 relevant publications based on the keywords identified by the bibliometric analysis. According to the results, the sub-themes of transportation infrastructure, location selection, and accident prevention are the most important topics along with the environmental impacts of transportation. Considering the methodologies, the fuzzy-AHP, the TOPSIS, and the Delphi techniques are usually applied with AHP as hybrid models. The systematic review sheds light on the capability of the AHP method to identify the safety factors of different transport modes, the possibility of handling quantitative and qualitative criteria in location selection, and the potential to gain a trustworthy choice among transportation infrastructure development alternatives.
Kriswardhana, Willy (57204361376); Toaza, Bladimir (57202336929); Esztergár-Kiss, Domokos (56044057700); Duleba, Szabolcs (55365486100)
Analytic hierarchy process in transportation decision-making: A two-staged review on the themes and trends of two decades
2025
10.1016/j.eswa.2024.125491
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205956549&doi=10.1016%2fj.eswa.2024.125491&partnerID=40&md5=25925787c5ddcee8f556d1e351c017c5
Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Műegyetem rkp. 3, Budapest, Hungary; Institute of Mathematics and Informatics, University of Nyíregyháza, Nyíregyháza, Hungary; Department of Civil Engineering, Faculty of Engineering, Universitas Jember, Jember, 68121, Indonesia
All Open Access; Hybrid Gold Open Access
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