@article{ART003075783},
author={Sojin Heo and Jeeyoung Kim},
title={A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2024},
volume={33},
number={2},
pages={74-83}
TY - JOUR
AU - Sojin Heo
AU - Jeeyoung Kim
TI - A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors
JO - Journal of Environmental Impact Assessment
PY - 2024
VL - 33
IS - 2
PB - Korean Society Of Environmental Impact Assessment
SP - 74
EP - 83
SN - 1225-7184
AB - This study aims to estimate roadkill occurrences and investigate influential factors in Chungcheongnam-do, contributing to the establishment of roadkill prevention measures. By comprehensively considering weather, road, and environmental information, machine learning was utilized to estimate roadkill incidents and analyze the importance of each variable, deriving primary influencing factors. The Gradient Boosting Machine (GBM) exhibited the best performance, achieving an accuracy of 92.0%, a recall of 84.6%, an F1-score of 89.2%, and an AUC of 0.907. The key factors affecting roadkill included average local atmospheric pressure (hPa), average ground temperature (℃), month, average dew point temperature (℃), presence of median barriers, and average wind speed (m/s). These findings are anticipated to contribute to roadkill prevention strategies and enhance traffic safety, playing a crucial role in maintaining a balance between ecosystems and road development.
KW - Roadkill;Machine Learning;Influential factors
DO -
UR -
ER -
Sojin Heo and Jeeyoung Kim. (2024). A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors. Journal of Environmental Impact Assessment, 33(2), 74-83.
Sojin Heo and Jeeyoung Kim. 2024, "A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors", Journal of Environmental Impact Assessment, vol.33, no.2 pp.74-83.
Sojin Heo, Jeeyoung Kim "A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors" Journal of Environmental Impact Assessment 33.2 pp.74-83 (2024) : 74.
Sojin Heo, Jeeyoung Kim. A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors. 2024; 33(2), 74-83.
Sojin Heo and Jeeyoung Kim. "A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors" Journal of Environmental Impact Assessment 33, no.2 (2024) : 74-83.
Sojin Heo; Jeeyoung Kim. A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors. Journal of Environmental Impact Assessment, 33(2), 74-83.
Sojin Heo; Jeeyoung Kim. A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors. Journal of Environmental Impact Assessment. 2024; 33(2) 74-83.
Sojin Heo, Jeeyoung Kim. A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors. 2024; 33(2), 74-83.
Sojin Heo and Jeeyoung Kim. "A Study on Machine Learning-Based Estimation of Roadkill Incidents and Exploration of Influencing Factors" Journal of Environmental Impact Assessment 33, no.2 (2024) : 74-83.
