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Analysis of Roadkill Hotspot According to the Spatial Clustering Methods

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2019, 28(6), pp.580-591
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering
  • Published : December 31, 2019

Eui‑Geun Song 1 Hyunjin Seo ORD ID 1 Kyungmin Kim 1 Woo Donggul 1 박태진 1 Tae-Young Choi ORD ID 1

1국립생태원

Accredited

ABSTRACT

This study analyzed roadkill hotspots in Yeongju, Mungyeong-si Andong-si and Cheongsong-gun to compare the method of searching the area of the spatial cluster for selecting the roadkill hotspots. The local spatial autocorrelation index Getis-Ord Gi* statistics were calculated by different units of analysis, drawing hotspot areas of 9% from 300 m and 14% from 1 km on the basis of the total road area. The rating of Z-score in the 1km hotspot area showed the highest Z-score in the 28th National Road section on the border between Yecheon-gun and Yeongj-si. The kernel density method performed general kernel density estimation and network kernel density estimation analysis, both of which made it easier to visualize roadkill hotspots than district unit analysis, but there were limitations that it was difficult to determine statistically significant priority. As a result, local hotspot areas were found to be different according to the cluster analysis method, and areas that are in common need of reduction measures were found to be the hotspot of 28th National Road through Yeongju-si and Yecheon-gun. It is deemed that the results of this study can be used as basic data when identifying roadkill hotspots and establishing measures to reduce roadkill.

Citation status

* References for papers published after 2023 are currently being built.