Analyzing Forestry Accident Data to Create Safety Models

Document Type:Thesis

Subject Area:Computer Science

Document 1

This project will be part of ongoing research that supports worker safety in hazardous forestry work environments. This will be achieved by analyzing, coding and categorizing a dataset; this dataset contains accident reports from an eight-year period collected by one of the health and safety organizations involved with the forestry industry. The data source for this project will rely on secondary sources where the past recorded incidence and accidents will be analyzed quantitatively and qualitatively to derive a meaningful meaning on the trend and likelihood of the accident occurrence. The analysis will be accompanied by a brief elaboration of the probable cause or contributor to the incidence that will be crucial in devising models and regulations geared at reducing the accident occurrence at any time in the forests.

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The research goal will seek meaningful ways of using the data to target and reduce accidents. From the result of the analysis, it will be possible to create accident data models that will show the specific sectors to be targeted to reduce the occurrence of the accidents. the result will also enable generation of software capable of detecting the accident incidences before occurrence. Background According to Zealand (2018), several fatal death has been reported to Work Safe under the Health and safety in employment act of 1992 in New Zealand and safety at work act of 2015. The specific deaths single out of forests include 28 deaths in Wellington where bulldozer rolled over in forest in December 2017. Other two accidents were recorded in August 2017 where 23 people died in Gisborne after falling from digger in the forest; the second instance claimed the life of 20 in Marlborough where log skidder rolled.

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Covering the underlying and root cause of the accident problems can be achieved by several methods including simple, epidemiological and systemic methods. The simple method describes accident as an end product of a certain event that occurs for instance after tree fall after rains. Epidemiological method recalls that accident arises from several factors whereas systemic approach vies the accident as an entire system that may arise in the forest. Based on analysis of the highlighted methods, the proper model can be devised to minimize accident occurrence. Conclusion Analysis of the forest accident data is crucial for the forestry department and forest employees in New Zealand in developing better models of improving the occupational safety and health in the forest. Forestry deaths on the rise despite changes to health and safety laws.

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