Risk analysis of forest roads using landslide susceptibility maps and generation of the optimum forest road route: a case study in Macka, Turkey

KADI F., YILDIRIM F., SARALIOĞLU E.

GEOCARTO INTERNATIONAL, vol.36, no.14, pp.1612-1629, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 14
  • Publication Date: 2021
  • Doi Number: 10.1080/10106049.2019.1659424
  • Journal Name: GEOCARTO INTERNATIONAL
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Environment Index, Geobase, INSPEC
  • Page Numbers: pp.1612-1629
  • Keywords: Landslide susceptibility map, forest roads, optimum forest route, optimal path algorithm, AHP, ANALYTICAL HIERARCHY PROCESS, LOGISTIC-REGRESSION, GIS, MODEL, NETWORK, HAZARD, AHP, ALGORITHM, IMPACTS, INDEX
  • Karadeniz Technical University Affiliated: Yes

Abstract

This study aims to generate optimum forest route. Contrary to the traditional manual methods, a dynamic route model has been developed. Along with a dynamic route model, an algorithm has been developed. In this study, a landslide susceptibility map that was generated by considering eight factors defined for the study area was used to investigate the risk status of the current forest roads. Then, the optimum forest routes are improved by considering potential landslide areas and several restrictive factors. Finally, the optimum forest road routes were compared to the current forest road routes. The results showed that the developed optimal path algorithm enabled the generation of the optimum forest road route. According to the risk results obtained for current forest roads; 559 km of all roads are risky (%37) and 33 km are very risky (%2). In addition, 39% of the existing roads were found to be under landslide risk.