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Year : 2015  |  Volume : 4  |  Issue : 1  |  Page : 45

Finding the best location for installing of wildlife signs using kernel density estimation in Khojir National Park

1 Young Researchers and Elite Club, Khorasgan (Isfahan) Branch, Islamic Azad University, Isfahan, Iran
2 Department of Environment, Faculty of Natural Resources, University of Tehran, Karaj, Iran

Correspondence Address:
Dr. Minoo Moshtaghie
Azadi Square, Kooye Jadid Ostadan, Golestan 2, No 50, Isfahan
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Source of Support: horasgan (Isfahan) Branch, Islamic Azad University, Conflict of Interest: None

DOI: 10.4103/2277-9183.170712

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Aims: The main aim of this study was to investigate the relationship between the amount of wildlife mortality and traffic rates in Khojir National Park, and with regard to that, finding a suitable location for installing signs according to the standard level sign structure. Materials and Methods: In this study, the current placement of wildlife warning signs was assessed in Khojir National Park, 2010, Tehran, Iran and a method to optimize warning sign placement using kernel density estimations was developed based on existing records for wildlife-vehicle accidents. Kernel density estimation is one of the best methods for finding a suitable location for installing the signs. The most promising of these tools is kernel density estimation, at first with questioner has found nearly point and after that with GPS try to register them in visual page. With kernel density prove to find the best radius, because of installing the sign. Results: Finally in this project, the best radius was found to be 50 m from one accident point, because of supporting the optimum location for installing signs, and finding the four points for installing the signs, and for designing wildlife signs using the symbol of maximum species that was injured in vehicle collision. Conclusion: Finding an area for installing wildlife, the designing of warning signs, and other precautions such as wildlife crossings and overpass creation are useful in decreasing wildlife accidents.

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