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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 賴進貴(Jinn-Guey Lay) | |
| dc.contributor.author | Ling-Hsiang Chou | en |
| dc.contributor.author | 周羚翔 | zh_TW |
| dc.date.accessioned | 2021-06-16T05:09:23Z | - |
| dc.date.available | 2019-08-26 | |
| dc.date.copyright | 2014-08-26 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-08-19 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55844 | - |
| dc.description.abstract | 隨著經濟發展及教育水準的提升，國人逐漸提高對於生活環境品質的要求。為了即時處理民眾日常生活中遇到的各種環境問題，環保署於民國80年成立環保報案中心受理公害陳情案件報案。公害陳情案件是一具有空間、時間屬性的資料，環保署目前透過歷史資料的空間與時間查詢、針對個案的空間分析及案件位置的熱區分析等方式整理陳情案件資料，提供輔助資訊以提升稽查效率。本研究嘗試在環保署目前的資料分析基礎上，應用空間分析與時空分析方法，從案件的時空屬性中精進環保署目前的分析結果，並提供更多可能的分析方向。首先藉由檢視環保署預期從案件熱區中得到的資訊與應用這些資訊的方式，確立可以精進分析結果熱區計算方法，透過比較民國99年至102年四年間兩種熱區的單位面積汙染事件數，證實核密度估計(Kernel Density Estimation)較目前的熱區計算方式更能有效偵測汙染事件。第二部分則利用Kulldorff時空掃描統計，分析102年台北都會區案件的時空聚集樣態並進行案例分析，結果顯示時空聚集具有從陳情案件中捕捉汙染事件的能力，而案件屬性中是否為緊急案件與案件是否呈現時空聚集較為相關，值得做為後續精進稽查手段的研究方向。 | zh_TW |
| dc.description.abstract | With economic development and the rise of educational level, people gradually impose the requirement of the quality of the living environment. In order to deal with real-life environmental problems that people may encounter in daily life, the Environmental Protection Administration(EPA), Executive Yuan, R.O.C. (Taiwan) established the Environment Protection Complaints Center in 1991 to handle the petition cases about environmental pollution.
Public nuisance petition cases were tagged by EPA with several attributes, including location, time, and more. Currently, the EPA utilizes spatial and temporal querying data, spatial analysis of the cases, and calculating the case hot spots to generate the information for the reference of inspecting efficiently. This study attempted to apply spatial analysis methods to improve the precision and accuracy of the analysis and provide additional method to capture the spatial-temporal information. First, by comparing the number of pollution incidents per kilometer in two hot spots from 2010 to 2013, we confirmed that kernel density estimation is a more effective way to detect contamination events. Second, Kulldorff’s space-time scan statistics, were used to analyze the spatial-temporal cluster of petition cases and discussed the special cases in Taipei metropolitan area at 2013. The results showed that Kulldorff’s space-time scan statistics could detect pollution incidents from petition cases of spatial-temporal cluster. Besides we found that the use of emergency tag was helpful in deciding the course of spatial-temporal cluster. These results can be used as research approach to improve inspection methods. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T05:09:23Z (GMT). No. of bitstreams: 1 ntu-103-R01228014-1.pdf: 4647989 bytes, checksum: b7208933f21341a51cdbbed6887cfa0e (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | 謝 誌 i
摘 要 ii Abstract iii 目 錄 iv 圖 目 錄 vi 表 目 錄 vii 第一章 緒論 1 第一節 研究背景 1 第二節 研究動機 2 第三節 研究目的與問題 3 第二章 文獻回顧 5 第一節 環境意識與環保運動 5 第二節 環境公害與公害陳情 6 第三節 空間分析 9 第四節 時空分析 11 第五節 小結 12 第三章 研究方法 14 第一節 研究流程 14 第二節 課題界定 15 第三節 資料來源 22 第四節 分析方法 25 1. 公害陳情案件熱區檢驗 25 2. 時空聚集樣態探索 27 第四章 分析與討論 31 第一節 熱區檢驗 31 第二節 案件時空聚集樣態分析 36 第三節 案例分析 54 1. 台北市時空聚集案件分析 54 2. 特定類別汙染案件分析 62 第五章 結論與建議 70 參考文獻 73 附件一 訪談紀錄 77 附件二 月單位時空分析報表 84 附件三 週單位時空分析報表 86 附件四 日單位時空分析報表 88 附件五 月單位噪音案件時空分析報表 91 | |
| dc.language.iso | zh-TW | |
| dc.title | 應用時空分析方法於環境公害陳情案件之研究 | zh_TW |
| dc.title | Application of Space-Time Methods for Public Nuisance Petition Cases Analysis | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 溫在弘(Tzai-Hung Wen),郭乃文(Nae-Wen Kuo) | |
| dc.subject.keyword | 公害陳情,空間分析,時空分析,核密度估計,時空掃描統計, | zh_TW |
| dc.subject.keyword | Public nuisance petition,Spatial analysis,Space-time analysis,Kernel density estimation,Space-time scan statistics, | en |
| dc.relation.page | 91 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2014-08-19 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 地理環境資源學研究所 | zh_TW |
| 顯示於系所單位： | 地理環境資源學系 | |
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