Year: 2024
Type: article
Abstract: The purpose of this study is to employ Tableau and R to create a web-based system for early wildlife hazard alerts at airports, addressing the critical need for timely and accurate wildlife risk assessments. The historical data displays specific time, season, altitude, size, and frequency related to wildlife reports in the United Stated for wildlife management and planning. A user-friendly risk assessment tool, utilizing the Shiny platform, offers airport stakeholders color-coded risk levels by analyzing wildlife hazard report frequencies and sizes. This research distinguishes itself by integrating advanced data visualization techniques and a dynamic risk matrix tool, enhancing proactive wildlife hazard management. The proposed tool is demonstrated through its application at Los Angeles (LAX) and Sacramento (SAC) International Airports, and algorithm is shared to readers for implementation across various airport settings. This paper enhances understanding of wildlife hazard reports, empowering airport stakeholders to make proper decisions for proactive wildlife control, ultimately improving airport safety and sustainability.
Authors: Haoruo Fu, Chien-tsung Lu, Ming Cheng, Mengyi Wei
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: diamond
OpenAlex ID: W4405863566