林地墓地场地评价标准的制定

C. Moon, Shiyoung Lee
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引用次数: 0

摘要

随着对包括林地埋葬在内的自然埋葬的兴趣日益增加,对国家林地墓地的需求预计会增加。本研究旨在提供评价标准,将权重因子应用于选址评价。通过文献综述,对类似于森林福利设施的森林设施选址评价因素进行了综述和分析。通过分析,选定了74项初步评价标准。以上述结果为基础,由中央、地方自治团体及负责森林福利设施的公共机关公务员、相关现场调查人员、民间专家组成的3个专家小组对初步评价要素进行了审查。评价因素分为2大类、6个子类、22个环节。选取的评价因子分层进行第二次偏好调查。将其分为森林环境和人文环境两大类,再进一步分为三类。然后将它们进一步分类。分割后,参与第一次调查的专家利用层次分析法对分层因素的显著性差异进行检验。利用评价标准和各层的显著性编制场地评价准则表。为了适用于候选地,对包括现有国立林地墓地在内的10个候选地和蔚山蔚州郡、全南顺天市、世宗市长郡面等9个候选地进行了比较分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Site Evaluation Criteria for Woodland Burial Grounds
The demand for National Woodland Burial Grounds is expected to increase as interest in natural burial, including woodland burial, is increasing. This study was performed to provide evaluation criteria applying weighting factors to the evaluation for location selection. Through literature review, location selection evaluation factors for forest facilities, similar to forest welfare facilities, were reviewed and analyzed. As a result of the analysis, 74 preliminary evaluation criteria were selected. Based on the results, three expert groups (public servants in central and local governments and other public agencies in charge of forest welfare facility, related field researchers, and civil experts) reviewed the preliminary evaluation factors. Evaluation factors were classified into two categories, 6 sub-categories, and 22 segments. The selected evaluation factors were layered for the second preference survey. They were classified into Forest Environment and Human Environment, and those categories were further classified into three categories. Then they were further classified into segments. After segmentation, the experts who participated in the first survey checked the differences in the significance of the layered factors by utilizing AHP. The site evaluation criteria table was prepared using the evaluation criteria and the significance of each layer. In order to apply it to the candidate sites, 10 sites including the existing National Woodland Burial Grounds and 9 candidate sites considered in the previous studies were compared and analyzed including Ulju County Ulsan City, Suncheon City Jeollanam-do and Janggun-myeon Sejeong City.
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