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Application of Fuzzy Analytic Hierarchy Process for Evaluation of Ankara-Izmir High-Speed Train Project
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Author(s): Ömer Faruk Efe (Afyon Kocatepe University, Turkey)
Copyright: 2021
Pages: 19
Source title:
AI-Based Services for Smart Cities and Urban Infrastructure
Source Author(s)/Editor(s): Kangjuan Lyu (SILC Business School, Shanghai University, China), Min Hu (SILC Business School, Shanghai University, China), Juan Du (SILC Business School, Shanghai University, China)and Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/978-1-7998-5024-3.ch012
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Abstract
In Turkey, where important projects are materialized in transportation and logistics field, different alternatives are developed for transportation systems. Among these, high-speed train (HST) systems are the most popular transportation types. HST is preferred for many economic, technological, ecological, and social situations. In this chapter, it is made the evaluation of the Ankara-İzmir HST line. The fuzzy analytical hierarchy process (FAHP), which is one of the multi-criteria decision-making (MCDM) techniques, is used in the evaluation. Fuzzy logic contributes to decision making using linguistic variables in uncertain environment. This chapter takes into consideration in the realization of the HST project some criteria such as the places in the railway line, the population structure of the cities, accessibility, and accession to significant logistical points. As a result, “population structure” criterion among the evaluation criteria was found to have more importance.
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