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姓名	戴荏國(Jen-Kuo Tai)  查詢紙本館藏	畢業系所	土木工程學系
論文名稱	以建築資訊模型技術進行室內避難收容所空間配置與營運規劃 (Spatial Configuration and Planning of Indoor Evacuation Shelters through Building Information Modeling and Ontology Techniques)
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摘要(中)	風災災害為我國每年經常遭遇之災害，而室內避難收容所為民眾避災的重要設施之一，故如何做好其營運將是地方政府防災人員一大考驗。雖然地方政府每年皆會實施避難收容所開設演練，但由於人員異動頻繁及無制定相關空間配置規則可供參考，導致避難收容所空間配置不當，以致民眾生活不便等問題發生。本研究以風災災害為例，針對避難收容所空間配置相關營運有關工作項目，包含：營運流程、工作人員分工、志工運用、物資調度流程、物流設施規劃、空間配置等議題，藉由國外文獻收集及自身實務經驗，提出具可行性之對策。透過瞭解上述議題，發展室內收容所功能設施配置原則，並應用建築資訊模型（Building Information Modeling,BIM）與本體論(Ontology)技術，設計出室內避難收容所功能設施空間配置自動化系統(Indoor Shelter Functional Facility Spatial Allocation Automation System,簡稱SFSS)。希冀藉由電腦程式自動化、視覺化模擬優勢，以輔助地方政府基層防災人員執行室內避難收容所空間規劃使用，並提升開設效率。最後本研究以新竹縣為範例，藉由邀請多位地方政府避難收容所開設策劃、實際執行工作人員及非政府組織志工人員進行使用者及專家問卷調查，並搭配實際開設演練，以驗證本研究之有效性。問卷分析結果顯示對於輔助避難收容所開設營運確實有所幫助，並且具有未來發展潛力。
摘要(英)	Every year, Taiwan faces numerous typhoon-related disasters. Indoor evacuation shelters are essential infrastructure to ensure the safety of the general public. One of the greatest challenges for local government disaster prevention personnel is determining how to conduct evacuation shelter operations effectively. Although local governments conduct annual evacuation shelter initiation exercises, frequent personnel turnover and the lack of applicable spatial configuration guidelines have resulted in many inappropriately configured evacuation shelters, leading to inconvenience for the general public. This study used typhoon disasters as an example to examine operational items associated with the spatial configuration of evacuation shelters, including operational procedures, labor allocation among personnel, volunteer utilization, material distribution systems, logistic facility design, and spatial configuration. Pragmatic strategies were postulated by drawing upon a compilation of foreign literature and personal experience, and through understanding the aforementioned concerns, it was possible to establish principles governing the configuration of functional facilities of indoor evacuation shelters. An automation system for the spatial configuration of functional facilities was developed using Building Information Modeling (BIM) and ontological technology. It is anticipated that the utilization of automated computer programs and visualization simulation capabilities will aid local governments’ grassroots disaster prevention staff in the implementation of planning and utilization for indoor evacuation shelters, thereby increasing the efficiency of initiation efforts. Finally, using Hsinchu County as an example, the study’s validity was confirmed by inviting numerous local government personnel involved in the initiation planning and implementation of evacuation shelters, as well as non-governmental volunteers, to participate in user and expert questionnaire surveys and actual initiation exercises. The results of the questionnaire analysis indicated that these measures do in fact facilitate the initiation of evacuation shelter operations and suggested potential for further development.
關鍵字(中)	★ 避難收容所營運 ★ 建築資訊模型 ★ 本體論 ★ 室內避難收容所功能設施空間配置	關鍵字(英)	★ Evacuation Shelter Operations ★ Building Information Modeling ★ Ontology ★ Evacuation Shelter Spatial Configuration
論文目次	摘　要 vii Abstract viii 誌　謝 x 目　錄 xi 圖目錄 xiv 表目錄 xvii 第一章　緒論 1 1-1　研究背景與動機 1 1-2　研究問題與目的 5 1-3 　研究範圍與限制 7 1-4 　研究流程 9 1-5 　論文結構 11 第二章　文獻回顧 12 2-1　國內外重大天然災害收容案例 12 2-1-1　美國案例 13 2-1-2　日本案例 14 2-1-3　國內案例 15 2-2　美國收容所營運文獻 17 2-2-1　營運流程及物資管理 17 2-2-2　人員分工及空間配置 20 2-3　日本收容所營運文獻 37 2-3-1　營運流程及物資管理 37 2-3-2　人員分工及空間配置 44 2-4　其他受聯合國協助國家之收容所文獻 59 2-4-1　聯合國作法說明 59 2-4-2　營運流程及物資管理 59 2-4-3　空間配置 67 2-5　AnyLogic模擬軟體應用回顧 71 2-6　建築資訊模型與本體論應用回顧 75 2-6-1　軟體介紹 75 2-6-2　BIM應用案例 76 2-6-2　BIM結合Ontology應用案例 78 2-7　文獻評析 82 第三章　收容所營運議題與對策 88 3-1　收容所營運流程及人員分工規則 88 3-1-1　收容所營運流程 88 3-1-2　工作人員分工規則 89 3-1-3　整合民間志工團體資源 92 3-1-4　電子化規劃概念展示 96 3-2　物資管理與物流設施類型 99 3-2-1　物資調度流程 101 3-2-2　物流設施規劃 104 3-2-3　電子化規劃概念展示 106 3-3　室內收容所功能設施空間規劃對策 108 3-3-1　各直轄市、縣（市）政府室內收容所空間配置規定 108 3-3-2　室內收容所功能設施配置原則 114 3-3-3　資訊系統設計概念 121 3-4　收容所營運議題與對策總結 124 第四章　室內收容所功能設施空間配置建築資訊模型與驗證 127 4-1　收容所功能設施配置系統設計 127 4-1-1　系統架構設計 127 4-1-2　系統程式運作方式 130 4-1-3　系統操作介面說明 139 4-1-4　SFSS預期成果說明 143 4-2　實例應用與分析 145 4-2-1　SFSS案例一:新埔國中學生活動中心 148 4-2-2　SFSS案例二:關西國小學生活動中心 154 4-2-3　112年國家防災日避難收容所演練驗證 160 4-2-4　案例分析與SFSS應用檢討 163 4-3　問卷設計及驗證方式 166 4-4　使用者問卷結果分析 169 4-5　專家問卷結果分析 175 第五章　結論與建議 186 5-1　結論 186 5-2　建議 188 5-3　貢獻 192 附錄 193 附錄1　收容所開設流程中重要工作細部說明及注意事項 193 附錄2　收容所工作人員任務與工作細部說明 201 附錄3　民間志工支援收容所服務項目分類說明 205 附錄4　衛福部救災物資調節作業 207 附錄5　每人每日消耗量物資計算表 210 附錄6　使用者問卷 212 附錄7　專家問卷 214 參考文獻 217 口試委員意見回覆表 240
參考文獻	内閣府, （2016）. 避難所運営ガイドライン, 内閣府, 東京都, 日本, Online https://www.bousai.go.jp/taisaku/hinanjo/pdf/1604hinanjo_guideline.pdf, Last Accessed August 1, 2023. 内閣府, (2017). 平成28年度避難所における被災者支援に関する事例等報告書, 内閣府, 東京都, 日本, Online https://www.bousai.go.jp/taisaku/hinanjo/pdf/houkokusyo.pdf, Last Accessed August 1,2023. 内閣府, (2018). 平成30年7月豪雨による被害状況等について, 内閣府, 東京都, 日本, Online https://www.bousai.go.jp/updates/h30typhoon7/index.html, Last Accessed August 1, 2023. 白石伸一, (2017). 熊本地震の対策と課題, 熊本県知事公室, 熊本県, 日本, Online https://www.koryu.or.jp/Portals/0/images/news/20171030/12.chinese%EF%BC%92.pdf, Last Accessed August 1, 2023. 北海道災害ボランティアセンター, （2021）. 市町村災害ボランンティアセンター設置・運営マニュアル, 社会福祉法人北海道社会福祉協議会, 北海道, 日本. 名古屋市庁, (2018). 指定避難所運営マニュアル, 名古屋市庁, 愛知県,日本, Online https://www.city.nagoya.jp/bosaikikikanri/page/0000045322.html, Last Accessed August 1, 2023. 兵庫県庁, (2013). 避難所管理業務ガイド, 兵庫県庁, 兵庫県, 日本, Online https://web.pref.hyogo.lg.jp/kk42/hinansyo.html, Last Accessed August 1, 2023. 東京都福祉局, （2018）. 避難所管理運営の指針, 東京都福祉局, 東京都, 日本, Online https://www.fukushi.metro.tokyo.lg.jp/joho/soshiki/syoushi/syoushi/hinanjo-shishin/hinanjokanriunei3.html, Last Accessed August 1, 2023. 京都市庁, (2012). 京都市避難所運営マニュアル, 京都市庁, 京都市, 日本, Online https://www.city.kyoto.lg.jp/gyozai/page/0000131471.html, Last Accessed August 1, 2023. 渡辺貴徳、鈴木猛康, (2018). 避難行動要支援者の避難支援シミュレーション, 地区防災計画学会誌, 地区防災計画学会, 大阪市, 日本, Online https://www.ccn.yamanashi.ac.jp/~takeyasu/oral/2018oral02.pdf, Last Accessed August 1, 2023. 丁冠博, (2013). 應用Ontology/Protégé/SWRL 於建築資訊模型上進行推論, 碩士論文, 國立中央大學土木研究所, 桃園市, 台灣。 內政部, （2022）. 強韌臺灣大規模風災震災整備與協作計畫, 報告編號：1110000030, 內政部消防署, 新北市, 台灣, Online https://www.nfa.gov.tw/cht/index.php?code=list&ids=1460, Last Accessed August 1, 2023. 內政部建築研究所, (2020). 因應高齡社會建置震災後特殊避難需求者避難收容處所可行性研究, 報告編號：10915B0010, 內政部建築研究所, 新北市, 台灣。 內政部消防署, (2020). 各級政府執行因災形成孤島地區疏散撤離及收容安置標準作業流程, 內政部消防署, 新北市, 台灣, Online https://law.nfa.gov.tw/GNFA/news.aspx?id=1923, Last Accessed August 1, 2023. 內政部消防署, （2022）. 風災災害業務計畫, 內政部消防署, 新北市, 台灣, Online https://www.nfa.gov.tw/cht/index.php?code=list&flag=detail&ids=242&article_id=12209, Last Accessed August 1, 2023. 交通部中央氣象署, （2022）. 颱風百問 , 交通部中央氣象署, 台北市, 台灣, Online https://www.cwb.gov.tw/V8/C/K/Encyclopedia/typhoon/typhoon_list02.html#typhoon-39, Last Accessed August 1, 2023. 吳譿昀, (2020). 基於避難設施剩餘容量最小化與最大捕獲災民人數之設施選址雙層規劃模型, 碩士論文, 國防大學管理學院, 桃園市, 台灣。 李璧如, (2016). 救災物資及災民收容所之規劃實務, 臺中市深耕計畫防救災業務承辦人員教育訓練教材, 臺中市政府, 台中市, 台灣。 李香潔、陳亮全, （2012）. 東日本大震災海嘯巨災下的避難收容與臨時安置, 財團法人中興工程顧問社, 中興工程電子報, (115), 71-79. 馬士元, （2019）. 社區避難收容場所開設與運作, 內政部消防署防災士訓練進階教材, 內政部消防署, 新北市, 台灣。 陳淑惠、張靜貞、李欣輯、楊惠萱、鄧傳忠、李香潔、郭彥廉、李洋寧,（2011）. 莫拉克颱風社會衝擊與復原調查(第一期), 報告編號：NCDR 99-T03, 國家災害防救科技中心(NCDR), 新北市, 台灣。 陳怡臻、楊惠萱, (2022). 《收容所開設實況小調查大發現！！》多的是你不知道的事, 減災動資料網站, NCDR, 新北市, 台灣, Online https://drrstat.ncdr.nat.gov.tw/statistics/home/article/106, Last Accessed August 1, 2023. 徐孝允, 石富元, 黃育祥, & 沈子勝, (2021). 大量傷病患事故之緊急救護派遣分析: 以2014年高雄丙烯氣爆為例, 災害防救科技與管理學刊, 10(2), 59-78. 桃園市社會局, (2020). 桃園市區公所避難收容作業手冊, 桃園市社會局,桃園市, 台灣。 許秋玲、廖楷民、李香潔, (2014). 八八水災後災民收容任務之調整與檢討, NCDR災害防救電子報, NCDR, 新北市, 台灣, Online https://www.ncdr.nat.gov.tw/UploadFile/Newsletter/20151105105303.pdf, Last Accessed August 1, 2023. NCDR, （2009）. 2009莫拉克颱風, 全球災害事件簿網站, NCDR, 新北市, 台灣, Online https://den.ncdr.nat.gov.tw/1132/1188/1204/2447/2505/, Last Accessed August 1, 2023. NCDR, （2011）. 20110311日本宮城外海地震分析評估摘要, 全球災害事件簿網站, NCDR, 新北市, 台灣, Online https://den.ncdr.nat.gov.tw/1132/1188/1205/14619/20615/#focus, Last Accessed August 1, 2023. NCDR, （2022）. 災民收容, 防災易起來網站, NCDR, 新北市, 台灣, Online https://easy2do.ncdr.nat.gov.tw/county/subject/shelter/sheltering, Last Accessed August 1, 2023. 傅鏸漩、林美君、謝蕙如、許智豪、黃柏誠、張志新, (2018). 颶風哈維(Harvey)對德州衝擊影響, NCDR災害防救電子報, NCDR, 新北市, 台灣, Online https://www.ncdr.nat.gov.tw/UploadFile/Newsletter/20180312110115.pdf, Last Accessed August 1, 2023. 傅鏸漩、張志新, (2022). 2021年全球災害回顧, NCDR災害防救電子報, NCDR, 新北市, 台灣, Online https://www.ncdr.nat.gov.tw/UploadFile/Newsletter/0b315b3591a7432ba4016d08a697e08c.pdf, Last Accessed August 1, 2023. 施虹如、黃柏誠、謝蕙如、許智豪、林美君、張志新, (2018). 2017年美國佛州艾瑪颶風災害事件探討, NCDR災害防救電子報, NCDR, 新北市, 台灣, Online https://www.ncdr.nat.gov.tw/UploadFile/Newsletter/20180312110717.pdf, Last Accessed August 1, 2023. 楊惠萱、李香潔、林美君, (2019). 台灣居民收容意向調查及其應用, NCDR災害防救電子報, NCDR, 新北市, 台灣, Online https://www.ncdr.nat.gov.tw/UploadFile/Newsletter/20191119155519.pdf, Last Accessed August 1, 2023. 新竹縣政府, (2019). 新竹縣地區災害防救計畫, 新竹縣政府, 新竹縣, 台灣。 新竹縣政府, （2022）. 災害防救深耕第三期計畫成果報告書, 報告編號：30-3181-1135, 新竹縣政府, 新竹縣, 台灣。 新竹縣竹北市公所, （2016）. 新竹縣竹北市成功國中避難處所安全性評估資料, 新竹縣竹北市公所, 新竹縣, 台灣。 新竹縣新埔鎮公所, (2016). 新竹縣新埔鎮新埔國中避難處所安全性評估資料, 新竹縣新埔鎮公所, 新竹縣, 台灣。 新竹縣關西鎮公所, (2016). 新竹縣關西鎮關西國小避難處所安全性評估資料, 新竹縣關西鎮公所, 新竹縣, 台灣。 新北市土城區公所, (2021). 新北市土城區公所執行收容安置作業機制, 新北市土城區公所, 新北市, 台灣。 新北市板橋區公所, (2021). 新北市板橋區避難收容處所暨防災民生物資設置計畫, 新北市板橋區公所, 新北市, 台灣。 彰化縣伸港鄉公所, (2019). 避難收容處所作業手冊, 彰化縣伸港鄉公所, 彰化縣, 台灣。 臺北市政府, （2015）. 臺北市室內避難收容處所選定評估參考原則, 報告編號：10433609300, 臺北市政府, 台北市, 台灣。 臺北市政府, (2021). 臺北市區級災害應變中心各編組標準作業程序, 報告編號：1106002069, 臺北市政府, 台北市, 台灣。 臺北市政府, (2022). 臺北市各類災害緊急疏散及收容安置計畫, 臺北市政府, 台北市, 台灣。 臺南市政府, (2021). 台南市地區災害防救計畫, 臺南市政府, 台南市, 台灣。 臺南市麻豆區公所, （2022）. 麻豆區避難收容處所清冊及平面配置圖, 臺南市麻豆區公所, 台南市, 台灣, Online https://madou.tainan.gov.tw/News.aspx?n=27853&sms=22003 ,Last Accessed August 1, 2023. 臺中市政府, (2021a). 臺中市北區災害應變中心緊急災民收容中心標準作業流程, 臺中市政府, 台中市, 台灣。 臺中市政府, (2021b). 臺中市北區災害應變中心臨時避難收容處所開設及管理事項, 臺中市政府, 台中市, 台灣, Online https://www.north.taichung.gov.tw/834169/834228/834246/834270/834292/2367740/post, Last Accessed August 1, 2023. 臺中市政府, (2021c). 臺中市北區避難收容處所空間平面配置圖, 臺中市政府, 台中市, 台灣, Online https://www.north.taichung.gov.tw/948085/post, Last Accessed August 1, 2023. 衛生福利部, (2016a). 強化對災民災害救助工作處理原則, 衛生福利部, 台北市, 台灣, Online https://mohwlaw.mohw.gov.tw/FLAW/FLAWQRY02.aspx?InteKW=%e5%bc%b7%e5%8c%96%e5%b0%8d%e7%81%bd%e6%b0%91%e7%81%bd%e5%ae%b3%e6%95%91%e5%8a%a9%e5%b7%a5%e4%bd%9c%e8%99%95%e7%90%86%e5%8e%9f%e5%89%87, Last Accessed August 1, 2023. 衛生福利部, (2016b). 直轄市、縣（市）危險區域（村里、部落）因應天然災害緊急救濟民生物資儲存作業要點範例, 衛生福利部, 台北市, 台灣, Online https://mohwlaw.mohw.gov.tw/FLAW/FLAWDAT0202.aspx?lsid=FL002625, Last Accessed August 1, 2023. 衛生福利部, (2016c). 救災物資調節作業規定, 衛生福利部, 台北市, 台灣, Online https://dep.mohw.gov.tw/DOSAASW/lp-576-103.html, Last Accessed August 1, 2023. 衛生福利部, (2022). 衛生福利部推展志願服務成果報告, 衛生福利部, 台北市, 台灣, Online https://vol.mohw.gov.tw/vol2/content/unit3, Last Accessed August 1, 2023. 戴荏國, (2022). 新竹縣民生救濟物資調度流程模式規劃, 新竹縣政府消防局, 新竹縣, 台灣。 戴荏國、劉展元、朱峻平、王蘇杰、周建成, (2023). 導入建築資訊模型與本體論之避難收容所室內空間配置作法, 中國土木水利工程學刊, 35(7), pp.669-680。 蘇麗瓊, (2012). 獨居未婚女性老人生命歷程與老年準備之探索研究, 博士論文, 東海大學社會工作學系, 台中市, 台灣。 蘇元風、張志新、廖楷民、李香潔、黃柏誠、于宜強, (2018). 2018年7月日本豪雨災害事件報告「平成30年7月豪雨」事件, NCDR, 新北市, 台灣。 Akgün, İ., Gümüşbuğa, F., & Tansel, B. (2015). Risk based facility location by using fault tree analysis in disaster management. Omega, 52, 168-179. Alameda County Operational Area Emergency Management Organization , (2003). A Guide for Local Jurisdictions In Care and Shelter Planning, Alameda County, California, USA. Amailef, K., & Lu, J. (2013). Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services. Decision Support Systems, 55(1), 79-97. Antonova, V. M., Grechishkina, N. A., & Kuznetsov, N. A. (2020). Analysis of the modeling results for passenger traffic at an underground station using AnyLogic. Journal of Communications Technology and Electronics, 65, 712-715. American Red Cross (ARC), (2008). Shelter Operations Management Toolkit, ARC , Washington, D.C., USA, Online https://prepareiowa.training-source.org/sites/default/files/u2/11%20ARC%20ShelterOperationsManagementToolkit, Last Accessed August 1, 2023. ARC, (2012). Sheltering Handbook Disaster Services, ARC, Washington, D.C., USA. ARC, (2018). Mass Care Standards and Indicators, Number:011-072209, ARC, Washington, D.C., USA: ARC. Arabani, A. B., & Farahani, R. Z. (2012). Facility location dynamics: An overview of classifications and applications. Computers & Industrial Engineering, 62(1), 408-420. Barahona, F., Ettl, M., Petrik, M., & Rimshnick, P. M. (2013). Agile logistics simulation and optimization for managing disaster responses. Proceedings of the 2013 Winter Simulation Conference, 2013 Winter Simulations Conference, 31, pp.3340-3351, Washington, DC, USA, December 8-11. Boonmee, C., Arimura, M., & Asada, T. (2017). Facility location optimization model for emergency humanitarian logistics. International journal of disaster risk reduction, 24, 485-498. Brodie, M., Weltzien, E., Altman, D., Blendon, R. J., & Benson, J. M. (2006). Experiences of Hurricane Katrina evacuees in Houston shelters: Implications for future planning. American Journal of Public Health, 96(8), 1402-1408. Carr, M., Onafowokan, T., Fleming, J., Olumuyiwa, T., Yang, B., & Eckert, A. (2019). Hurricane Harvey AAR: Preparedness Recommendations Based on Surveillance Data. Online Journal of Public Health Informatics, 11(1), 309. Centers for Disease Control and Prevention (CDC), (2019). Environmental Health Disaster Shelter Assessment Guide, Number:CS308019, CDC, Atlanta, GA, USA. Charlesraj, V. P. C. (2014). Knowledge-based building information modeling (K-BIM) for facilities management. Proceedings of the 31th International Symposium on Automation and Robotics in Construction, The International Association for Automation and Robotics in Construction (IAARC), 31, pp.936-941, Sydney, Australia, July 9-11. Chen, A. Y., & Chu, J. C. (2016). TDVRP and BIM integrated approach for in-building emergency rescue routing. Journal of computing in civil engineering, 30(5), C4015003. Chen, A. Y., & Huang, T. (2015). Toward BIM-enabled decision making for in-building response missions. IEEE Transactions on Intelligent Transportation Systems, 16(5), 2765-2773. Chen, W., Chena, K., Gan, V. J. L., & Cheng, J. C. P. (2019). A methodology for indoor human comfort analysis based on BIM and ontology. Proceedings of the 36th International Symposium on Automation and Robotics in Construction, IAARC, 36, pp.1189-1196, Banff Alberta, Canada, May 21-24. Chen, X. S., Liu, C. C., & Wu, I. C. (2018). A BIM-based visualization and warning system for fire rescue. Advanced Engineering Informatics, 37, 42-53. Cheng, M. Y., Chiu, K. C., Hsieh, Y. M., Yang, I. T., Chou, J. S., & Wu, Y. W. (2017). BIM integrated smart monitoring technique for building fire prevention and disaster relief. Automation in Construction, 84, 14-30. Chiang, C. T., Lin, C. Y., & Chou, C. C. (2013). Expansion of building information model for disaster mitigation. Proceedings of the 30th International Symposium on Automation and Robotics in Construction, IAARC,30, pp.1, Quebec, Canada, August 11-15. Choi, B., Lee, H. S., Park, M., Cho, Y. K., & Kim, H. (2014). Framework for work-space planning using four-dimensional BIM in construction projects. Journal of Construction Engineering and Management, 140(9), 04014041. Chou, J. S., Cheng, M. Y., Hsieh, Y. M., Yang, I. T., & Hsu, H. T. (2019). Optimal path planning in real time for dynamic building fire rescue operations using wireless sensors and visual guidance. Automation in construction, 99, 1-17. Costa, D. S. R. A., Bandeira, R. A. M., Mello, L. C. B. B., & Campos, V. B. G. (2014). Humanitarian supply chain: an analysis of response operations to natural disasters. European Journal of Transport and Infrastructure Research, 14(3), 290-310. Cui, B., Wen, X., & Zhang, D. (2019). The application of intelligent emergency response system for urban underground space disasters based on 3D GIS, BIM and internet of things. Proceedings of International Conference on Artificial Intelligence and Computer Science, Association for Computing Machinery, pp.745-749, Wuhan Hubei, China, July 12-13. Dudzińska, E. (2022). Proposal of a workflow for data-driven design in combination with BIM technology for more efficient office space planning. Budownictwo i Architektura, 21(2), 5-16. Espíndola, R. O., Albores, P., & Brewster, C. (2018). Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods. European Journal of Operational Research, 264(3), 978-993. Farias, D. T. M., Roxin, A., & Nicolle, C. (2016). SWRL rule-selection methodology for ontology interoperability. Data & Knowledge Engineering, 105, 53-72. Federal Emergency Management Agency （FEMA）, (2016). Shelter Field Guide, Number:P-785, FEMA, Washington, D.C., USA: FEMA. Feng, Y., Wang, J., Fan, H., & Hu, Y. (2021). A BIM-based coordination support system for emergency response. IEEE Access, 9, 68814-68825. Florida Division of Emergency Management （FDEM）, (2019). Hurricane Michael After-Action Report/Improvement Plan, FDEM, Tallahassee, Florida, USA. Florida Emergency Management Agency, (2018). Statewide Emergency Shelter Plan, Florida Emergency Management Agency, Florida, USA: Florida Emergency Management Agency. Franck, T., Bercelli, P., Aloui, S., & Augusto, V. (2020). A generic framework to analyze and improve patient pathways within a healthcare network using process mining and discrete-event simulation. Proceedings of winter simulation conference, The Institute of Electrical and Electronics Engineers (IEEE), pp.968-979, December 14-18. Fragkos, M. E., Zeimpekis, V., Koutras, V., & Minis, I. (2022). Supply planning for shelters and emergency management crews. Operational Research, 22, 741–777. Fu, C., Liu, C., Ishi, C., Yoshikawa, Y., & Ishiguro, H. (2020). A semantic matrix-based memory neural network for text classification. Proceedings of the 14th International Conference on Computational Semantics, Association for Computational Linguistics, pp.123-127, San Diego, California, USA, February 3-5. Gan, V. J. (2022). BIM-based graph data model for automatic generative design of modular buildings. Automation in Construction, 134, 104062. Gao, X., & Pishdad-Bozorgi, P. (2019). BIM-enabled facilities operation and maintenance: A review. Advanced engineering informatics, 39, 227-247. Geng, S., Hou, H., & Zhang, S. (2020). Multi-criteria location model of emergency shelters in humanitarian logistics. Sustainability, 12(5), 1759. George, J. W., Guthrie, P., & Orr, J. J. (2023). Redefining shelter: humanitarian sheltering. Disasters, 47(2), 482-498. Gonzalez, E., Piñeiro, J. D., Toledo, J., Arnay, R., & Acosta, L. (2021). An approach based on the ifcOWL ontology to support indoor navigation. Egyptian Informatics Journal, 22(1), 1-13. Greenough, P. G., Lappi, M. D., Hsu, E. B., Fink, S., Hsieh, Y. H., Vu, A., & Kirsch, T. D. (2008). Burden of disease and health status among Hurricane Katrina–displaced persons in shelters: a population-based cluster sample. Annals of emergency medicine, 51(4), 426-432. Habib, M. S., Lee, Y. H., & Memon, M. S. (2016). Mathematical models in humanitarian supply chain management: A systematic literature review, Mathematical Problems in Engineering, 3212095, 20. Hosseini, O., & Maghrebi, M. (2021). Risk of fire emergency evacuation in complex construction sites: Integration of 4D-BIM, social force modeling, and fire quantitative risk assessment. Advanced Engineering Informatics, 50, 101378. Hsieh, C. C., Liu, C. Y., Wu, P. Y., Jeng, A. P., Wang, R. G., & Chou, C. C. (2019). Building information modeling services reuse for facility management for semiconductor fabrication plants. Automation in Construction, 102, 270-287. Hu, K., Chen, M., Duan, S. X., Teng, Y., & Peng, Y. B. (2016). Research on management system of disaster prevention and relief based on building information modeling. Proceedings of the 2016 International Conference on Artificial Intelligence, IEEE, pp.232-235, Hong Kong, China, June 24-26. Hurtado, G., & Nudler, O. (2012). Ontology (Eds), In The furniture of the world, Leiden, Netherlands :Brill Academic Pub. Ingargiola, J., & Tezak, S. (2010). The new FEMA 320 and FEMA 361—Highlights of the wind and flood hazards criteria for the design and construction of residential and community safe rooms (shelters). Proceedings of the Fifth Forensic Engineering Congress, The Technical Council on Forensic Engineering of ASCE,pp.163-174, Washington, D.C., USA, November 11-14. Ito, H., Wisetjindawat, W., & Yokomatsu, M. (2015). Dealing with relief supplies when shelters are at risk of becoming isolated: Discussion of current Japanese practice. Journal of Natural Disaster Science, 36(2), 53-61. Jensen, L. M., & Hertz, S. (2016). The coordination roles of relief organisations in humanitarian logistics. International Journal of Logistics Research and Applications, 19(5), 465-485. Kapucu, N., Hu, Q., Harmon, M., & Toro, P. (2021). Coordinating non‐established disaster relief groups: a case study of Hurricane Irma in Florida, United States. Disasters, 45(3), 717-737. Kim, D., Cha, H. S., & Jiang, S. (2023). The Prediction of Fire Disaster Using BIM-Based Visualization for Expediting the Management Process. Sustainability, 15(4), 3719. Kim, T. W., & Fischer, M. (2014). Ontology for representing building users’ activities in space-use analysis. Journal of Construction Engineering and Management, 140(8), 04014035. Kim, Y. H., Choi, J. S., Yuan, T. F., & Yoon, Y. S. (2022). Evacuation of Shelter in Place at Subway Transfer Stations Based on BIM and Proposal of a Strengthening Method. Buildings, 12(11), 1981. Kirby, A., Dietz, J. E., & Wojtalewicz, C. (2012). Modeling of a Regional Hub Reception Center to improve the speed of an urban area evacuation. Proceedings of 2012 IEEE Conference on Technologies for Homeland Security, IEEE, pp.476-482, Waltham, Massachusetts, USA, November 13-15. Kirby, A. M., Dietz, J. E., Matson, E. T., Pekny, J. F., & Wojtalewicz, C. (2015). Major city evacuation planning using simulation modeling. International Journal of Disaster Resilience in the Built Environment, 6(4), 397-408. Kishimoto, M., & Noda, M. (2013). Diabetes care: after the great east Japan earthquake. Journal of Diabetes Investigation, 4(1), 97-102. Kovács, G., & Spens, K. (2009). Identifying challenges in humanitarian logistics. International Journal of Physical Distribution & Logistics Management, 39(6), 506-528. Kuklová, J. (2021). Highway modeling in anylogic for multi-agent approach to smart city management. Proceedings of 2021 Smart City Symposium Prague, pp.1-6, Prague, Czech Republic, May 27-28. Kumar, S. S., & Cheng, J. C. (2015). A BIM-based automated site layout planning framework for congested construction sites. Automation in Construction, 59, 24-37. Kumbhar, R. (2011). Construction and Applications of Ontology: Recent Trends. DESIDOC Journal of Library & Information Technology, 31(2), 84-89. Leite, F., & Akinci, B. (2012). Formalized representation for supporting automated identification of critical assets in facilities during emergencies triggered by failures in building systems. Journal of Computing in Civil Engineering, 26(4), 519-529. Li, W., Qiao, S., Yang, K., Hu, R., & Li, X. (2019). Evacuation Simulation of Special Crowds in Hospital Based on Anylogic. Model.Simulat., 8, 85-94. Li, Y., Zhang, Y., & Cao, L. (2020). Evaluation and selection of hospital layout based on an integrated simulation method. Proceedings of 2020 Winter Simulation Conference, pp.2560-2568, Orlando, Florida, USA, December 14-18. Li, Y., & Gao, G. (2023). Large-scale Passenger Behavior Learning and Prediction in Airport Terminals based on Multi-Agent Reinforcement Learning. Frontiers in Computing and Intelligent Systems, 5(1), 111-117. Lin, C. H., Ho, M. C., Hsieh, P. C., Shiau, Y. C., & Yang, M. L. (2022). Study of a BIM-Based Cyber-Physical System and Intelligent Disaster Prevention System in Taipei Main Station. Applied Sciences, 12(21), 10730. Lin, W. Y., Lin, P. H., & Tserng, H. P. (2017). Automating the generation of indoor space topology for 3D route planning using BIM and 3D-GIS techniques. Proceedings of the 34th International Symposium on Automation and Robotics in Construction, IAARC, 34, pp.437-444, Taipei, Taiwan, June 28- July 1. Liu, C. Y., Jeng, A. P., Chang, C. H., Wang, R. G., & Chou, C. C. (2018). Combining building information modeling and ontology to analyze emergency events in buildings. Proceedings of the 35th International Symposium on Automation and Robotics in Construction, IAARC,35, pp.1-6, Berlin, Germany, July 20-25. Liu, H., Lu, M., & Al-Hussein, M. (2016). Ontology-based semantic approach for construction-oriented quantity take-off from BIM models in the light-frame building industry. Advanced Engineering Informatics, 30(2), 190-207. Liu, Q., Lin, C., Wang, Y., Long, C., Qian, W., & Cao, J. (2020). Assistant decision method for intelligent dispatch of emergency medical materials. Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare, pp.84-90, Taiyuan, China, October 23-25. Liu, W., Wang, F., Zhang, C., Zhang, J., & Wang, L. (2021). A Simulation Study of Urban Public Transport Transfer Station Based on Anylogic. KSII Transactions on Internet & Information Systems, 15(4), 1216-1217. Liu, Y., & Song, Y. (2022). Research on simulation and optimization of road traffic flow based on Anylogic. Proceedings of the 8th International Symposium on Vehicle Emission Supervision and Environment Protection, 01070, pp.5, Wuhan, China, June 23-24. Luo, H., Peng, X., & Zhong, B. (2016). Application of ontology in emergency plan management of metro operation. Procedia engineering, 164, 158-165. Ma, G., Song, X., & Shang, S. (2020). BIM-based space management system for operation and maintenance phase in educational office buildings. Journal of Civil Engineering and Management, 26(1), 29-42. Malpass, A., West, C., Quaill, J., & Barker, R. (2019). Experiences of individuals with disabilities sheltering during natural disasters: An integrative review. Australian Journal of Emergency Management, 34(2), 60-65. Marcelin, J. M., Horner, M. W., Ozguven, E. E., & Kocatepe, A. (2016). How does accessibility to post-disaster relief compare between the aging and the general population? A spatial network optimization analysis of hurricane relief facility locations. International journal of disaster risk reduction, 15, 61-72. Mizuno, K., Mizuno, O. K., Tanabe, M., & Niwano, K. (2016). Sleep in a gymnasium: A study to examine the psychophysiological and environmental conditions in shelter-analogue settings. International journal of environmental research and public health, 13(12), 1186. Nappi, M. M. L., Nappi, V., & Souza, J. C. (2019). Multi-criteria decision model for the selection and location of temporary shelters in disaster management. Journal of International Humanitarian Action, 4(1), 1-19. Nappi, M. M. L., & Souza, J. C. (2015). Disaster management: hierarchical structuring criteria for selection and location of temporary shelters. Natural Hazards, 75, 2421-2436. National Oceanic and Atmospheric Administration （NOAA）, (2018). Costliest U.S. tropical cyclones tables updated, NOAA, Washington, D.C., USA, Online https://www.nhc.noaa.gov/news/UpdatedCostliest.pdf, Last Accessed August 1, 2023. Ni, W., Yu, J., Cai, H., Bai, M., & Wu, B. (2021). Study on optimization of passenger flow at a metro station based on AnyLogic—Case study of Youfangqiao station of Nanjing metro line 2. Complex System Modeling and Simulation, 1(3), 242-252. Nickdoost, N., Jalloul, H., & Choi, J. (2022). An integrated framework for temporary disaster debris management sites selection and debris collection logistics planning using geographic information systems and agent-based modeling. International Journal of Disaster Risk Reduction, 80, 103215. Niknam, M., & Karshenas, S. (2017). A shared ontology approach to semantic representation of BIM data. Automation in Construction, 80, 22-36. Nunavath, V., & Prinz, A. (2017). Visualization of exchanged information with dynamic networks: a case study of fire emergency search and rescue operation. Proceedings of 2017 IEEE 7th International Advance Computing Conference, pp.281-286, Hyderabad, India, January 5-7. Oloruntoba, R., & Gray, R. (2006). Humanitarian aid: an agile supply chain. Supply Chain Management: an international journal, 11(2), 115-120. Paciarotti, C., Piotrowicz, W. D., & Fenton, G. (2021). Humanitarian logistics and supply chain standards. Literature review and view from practice. Journal of Humanitarian Logistics and Supply Chain Management, 11(3), 550-573. Peckienė, A., & Ustinovičius, L. (2017). Possibilities for building spatial planning using BIM methodology. Procedia Engineering, 172, 851-858. PENG, S.H., (2018). Simulation of Debris Flow Disaster Evacuation of Hillside Community Using the AnyLogic Software-Simulation of debris flow disaster evacuation. Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics, pp.20-23, Shanghai, China, July 22-23. Phillips, B. D., Wikle, T. A., Hakim, A. H., & Pike, L. (2012). Establishing and operating shelters after Hurricane Katrina. International Journal of Emergency Management, 8(2), 153-167. Prabhu, V. G., Taaffe, K., Caglayan, C., Isik, T., Song, Y., & Hand, W. (2020,). Team based, risk adjusted staffing during a pandemic: an agent based approach. Proceedings of 2020 Winter Simulation Conference, pp.747-758. Orlando, Florida, USA, December 14-18. Ransikarbum, K., & Mason, S. J. (2016). Multiple-objective analysis of integrated relief supply and network restoration in humanitarian logistics operations. International Journal of Production Research, 54(1), 49-68. Ren, G., Ding, R., & Li, H. (2019). Building an ontological knowledgebase for bridge maintenance. Advances in Engineering Software, 130, 24-40. Ren, Z., & Anumba, C. J. (2004). Multi-agent systems in construction–state of the art and prospects. Automation in Construction, 13(3), 421-434. Safaei, A. S., Farsad, S., & Paydar, M. M. (2020). Emergency logistics planning under supply risk and demand uncertainty. Operational Research, 20, 1437-1460. Sanusi, F., Choi, J., Ulak, M. B., Ozguven, E. E., & Abichou, T. (2020). Metadata-based analysis of physical–social–civic systems to develop the knowledge base for hurricane shelter planning. Journal of Management in Engineering, 36(5), 04020041. Sauer, A., Kraft, P., & Rennhak, C. (2016). Humanitarian supply chain performance management: Development and evaluation of a comprehensive performance measurement framework based on the balanced scorecard, Working Paper ISSN 2367-3869, Munich Business School, Munich, Bavaria, Germany. Shen, Q., Wu, S., Deng, Y., Deng, H., & Cheng, J. C. (2022). BIM-Based Dynamic Construction Safety Rule Checking Using Ontology and Natural Language Processing. Buildings, 12(5), 564. Sphere Association, (2018). The Sphere Handbook: Humanitarian Charter and Minimum Standards in Humanitarian Response. (4th ed.) Geneva, Switzerland: Sphere Association. Staab, S., & Studer, R. (2010). What is an ontology? (Eds), Handbook on ontologies, Luxembourg, Germany: Springer. Sun, Q., & Turkan, Y. (2020). A BIM-based simulation framework for fire safety management and investigation of the critical factors affecting human evacuation performance. Advanced Engineering Informatics, 44, 101093. Takahashi, T., Goto, M., Yoshida, H., Sumino, H., & Matsui, H. (2012). Infectious diseases after the 2011 Great East Japan earthquake. Journal of Experimental & Clinical Medicine, 4(1), 20-23. Tan, L., Hu, M., & Lin, H. (2015). Agent-based simulation of building evacuation: Combining human behavior with predictable spatial accessibility in a fire emergency. Information Sciences, 295, 53-66. Teo, T. A., & Cho, K. H. (2016). BIM-oriented indoor network model for indoor and outdoor combined route planning. Advanced engineering informatics, 30(3), 268-282. The Collier County Bureau of Emergency Services (BES), (2014). Standard Operating Guidance Emergency Shelter Operations, Collier County, Florida, USA. Tomasini, R. & Wassenhove, L. V. (2009). Humanitarian logistics. London, UK: Palgrave Macmillan. Tsetsos, V., Anagnostopoulos, C., Kikiras, P., & Hadjiefthymiades, S. (2006). Semantically enriched navigation for indoor environments. International Journal of Web and Grid Services, 2(4), 453-478. Tsioulou, A., Faure Walker, J., Lo, D. S., & Yore, R. (2021). A method for determining the suitability of schools as evacuation shelters and aid distribution hubs following disasters: case study from Cagayan de Oro, Philippines. Natural Hazards, 105, 1835-1859. United Nations High Commissioner for Refugees （UNHCR）, (2016). Shelter Design Catalogue, UNHCR, Geneva, Switzerland, Online https://cms.emergency.unhcr.org/documents/11982/57181/Shelter+Design+Catalogue+January+2016/a891fdb2-4ef9-42d9-bf0f-c12002b3652e#_ga=2.204190736.1835013566.1670573612-1484255690.1658308184, Last Accessed August 1, 2023. UNHCR, (2021). Emergency shelter standard, UNHCR, Geneva, Switzerland, Online https://emergency.unhcr.org/entry/36774/emergency-shelter-standard, Last Accessed August 1, 2023. U.S. Department of Health and Human Services （HHS）, (2018). Texas Hospital Association Hurricane Harvey Analysis, HHS, Washington, D.C., USA, Online https://www.nhc.noaa.gov/news/UpdatedCostliest.pdf, Last Accessed August 1, 2023. Veenema, T. G., Rains, A. B., Casey-Lockyer, M., Springer, J., & Kowal, M. (2015). Quality of healthcare services provided in disaster shelters: An integrative literature review. International emergency nursing, 23(3), 225-231. Volk, R., Stengel, J., & Schultmann, F. (2014). Building Information Modeling (BIM) for existing buildings—Literature review and future needs. Automation in construction, 38, 109-127. Wang, N., & Issa, R. R., (2020). Ontology-based integration of BIM and GIS for indoor routing, Proceedings of Construction Research Congress 2020, American Society of Civil Engineers, pp.1010-1019, Tempe, Arizona, USA, March 8–10. Wang, R. G., Wu, P. Y., Liu, C. Y., Tan, J. C., Chuang, M. L., & Chou, C. C. (2022). Route Planning for Fire Rescue Operations in Long-Term Care Facilities Using Ontology and Building Information Models. Buildings, 12(7), 1060. Wang, Z., & Zhang, J. (2019). Agent-based evaluation of humanitarian relief goods supply capability. International Journal of Disaster Risk Reduction, 36, 101105. Wassenhove, L. V. (2006). Humanitarian aid logistics: supply chain management in high gear. Journal of the Operational research Society, 57(5), 475-489. World Health Organization （WHO）, (2017). Flooding:Managing Health Risks In The WHO European Region (Number: 9789289052795), WHO, Geneva, Switzerland: WHO. Wu, Z., Cheng, J. C., Wang, Z., & Kwok, H. H. (2023). An ontology-based framework for automatic building energy modeling with thermal zoning. Energy and Buildings, 296, 113267. Xu, J., Wang, C., Li, S., & Qiao, P. (2023). Emergency evacuation shelter management and online drill method driven by real scene 3D model. International Journal of Disaster Risk Reduction, 97, 104057. Xu, M., Wei, S., Zlatanova, S., & Zhang, R. (2017). BIM-based indoor path planning considering obstacles. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4, 417-423. Yahyaei, M., & Bozorgi-Amiri, A. (2019). Robust reliable humanitarian relief network design: an integration of shelter and supply facility location. Annals of Operations Research, 283(1-2), 897-916. Yoon, S. H., Choi, J. W., & Cho, S. Y. (2013). A design and development of a temporary housing system based on BIM in advance of disasters. Journal of the Korean housing association, 24(1), 69-78. Zhang, Y., Wang, Y., & Wu, L. (2012). Research on demand-driven leagile supply chain operation model: a simulation based on anylogic in system engineering. Systems Engineering Procedia, 3, 249-258. Zheng, Y. J., Chen, S. Y., & Ling, H. F. (2015). Evolutionary optimization for disaster relief operations: A survey. Applied Soft Computing, 27, 553-566. Zhou, Y., Bao, T., Shu, X., Li, Y., & Li, Y. (2023). BIM and ontology-based knowledge management for dam safety monitoring. Automation in Construction, 145, 104649. Zhou, Z., Goh, Y. M., & Shen, L. (2016). Overview and analysis of ontology studies supporting development of the construction industry. Journal of Computing in Civil Engineering, 30(6), 04016026.
指導教授	周建成(Chien-Cheng Chou)	審核日期	2024-1-5
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