Hybrid Based Spatial Multi-Criteria Decision Making Model for Optimum Route Analysis


Terzi F., Uzun B., Yıldırım V., Atasoy B. A., Uzun S.

IRF World Congress 2024, İstanbul, Türkiye, 15 - 18 Ekim 2024, ss.1-13

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-13
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Determining road routes is a complex process that requires analyzing many variables simultaneously. It is also one of the crucial steps in project sustainability. This process directly affects all activities related to the project, such as construction, maintenance, and repair, from the beginning to the end of the project. The environmental damage to roads built over long distances is relatively high. For this reason, it is necessary to determine the route for the road to be constructed with optimization. On the other hand, evaluating the existing roads while determining the route and drawing new routes when necessary will minimize environmental damage. In this way, it is aimed at opening new roads with short lengths and determining the most environmentally and economically efficient route if access through roads with narrow widths is too long and costly. The model developed as a solution proposal for this spatial problem allows environmental sensitivities to be included in the process through existing roads and undefined surfaces where roads do not exist. Our model is based on the principle of hybrid data model analysis, which includes raster-based network analysis. In addition, determining the environmental factors affecting the route for new roads, determining the weights of these factors and associating these weights with spatial data, and using spatial multi-criteria decision-making methods (S-MCDM) and Geographic Information System (GIS) technologies in this context are among the process steps of the proposed model. It is envisaged that the most suitable route will be determined as a result of the execution of these process steps together.