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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 溫在弘 | |
| dc.contributor.author | Chien-Min Wang | en |
| dc.contributor.author | 王建閔 | zh_TW |
| dc.date.accessioned | 2021-06-15T13:31:45Z | - |
| dc.date.available | 2017-03-08 | |
| dc.date.copyright | 2016-03-08 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-02-02 | |
| dc.identifier.citation | Aspelin, K. 2005. Establishing Pedestrian Walking Speeds. Portland State University.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/51363 | - |
| dc.description.abstract | 在心臟驟停(out-of-hospital cardiac arrest, OHCA)患者的黃金救護時間內實施自動體外除顫器(automated external defibrillator, AED)急救，可以有效提高患者存活率。然而關於AED最佳化區位的研究中，缺少考量室內環境下人口流動的條件，導致部分時段的OHCA患者潛在的高風險。因此本篇文章提供了室內時空區位模型，考量到室內人口流動特性，計算AED最佳位置。此模型依據人口流動特性建構室內路網，以最大化覆蓋範圍(maximal covering location problem, MCLP)為目標式，以4分鐘作為AED的覆蓋半徑。本篇文章建議考量室內人口流動特性的最佳化位置策略，可以在有限的AED經費成本下，提高室內OHCA患者的存活率。 | zh_TW |
| dc.description.abstract | Treat out-of-hospital cardiac arrest (OHCA) patient within first few critical minutes with an automated external defibrillator (AED) can strongly increase survival. While planning optimal AED locations, population flow in a indoor environment is understudied. Here we describe a spatial-temporal locating model that considers population flow in indoor environment to solve optimal AED location problem. Our model is based on indoor transportation network to maximize the covered demand over all time periods, with a 4 minutes AED covering radius. Our results suggest the AED allocation strategies with considering population flow in indoor environment. Such installations can raise OHCA patient survival potential with finite AEDs. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T13:31:45Z (GMT). No. of bitstreams: 1 ntu-105-R02228020-1.pdf: 1757931 bytes, checksum: 929253395e0f499d90406334e2299374 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 中文摘要 i
英文摘要 i 第一章 緒論 1 第一節 研究動機 1 第二節 研究目的 6 第二章 文獻回顧 7 第一節 公眾除顫計畫(public access to defibrillation program, PAD) 7 第二節 區位規劃模型 10 第三節 緊急醫療區位規劃模型 12 第四節 模擬人口密度對於移動成本的影響 14 第三章 研究方法 16 第一節 研究區 16 第二節 研究架構 17 第三節 室內路網 19 第四節 模擬室內路網人口擁擠與移動成本 23 第五節 室內AED最大覆蓋模型 27 第六節 整數規劃求解 29 第七節 系統實作 31 第四章 研究結果與討論 35 第一節 案例分析 35 第二節 AED最佳區位配置結果 38 第三節 考量擁擠前後的差異 40 第四節 調整模擬擁擠效果的參數 42 第五節 調整服務範圍 45 第六節 研究限制 48 第五章 結論 50 參考文獻 52 | |
| dc.language.iso | zh-TW | |
| dc.subject | 室內環境 | zh_TW |
| dc.subject | 最佳化區位模型 | zh_TW |
| dc.subject | 人口流動 | zh_TW |
| dc.subject | 室內環境 | zh_TW |
| dc.subject | 最佳化區位模型 | zh_TW |
| dc.subject | 人口流動 | zh_TW |
| dc.subject | indoor environment | en |
| dc.subject | indoor environment | en |
| dc.subject | optimal installation location | en |
| dc.subject | population flow | en |
| dc.subject | optimal installation location | en |
| dc.subject | population flow | en |
| dc.title | 建築物室內的緊急醫療資源空間配置模型：
以台大共同教室大樓佈署自動體外 心臟電擊去顫器為例 | zh_TW |
| dc.title | Indoor Spatial Location-allocation Modeling for Emergency Medical Facilities: Allocating the Automated External Defibrillators (AED) in the NTU Common Subjects Classroom Building. | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 胡明哲,林禎家,柯昭穎 | |
| dc.subject.keyword | 室內環境,最佳化區位模型,人口流動, | zh_TW |
| dc.subject.keyword | indoor environment,optimal installation location,population flow, | en |
| dc.relation.page | 56 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2016-02-03 | |
| 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 |
| Appears in Collections: | 地理環境資源學系 | |
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|---|---|---|---|
| ntu-105-1.pdf Restricted Access | 1.72 MB | Adobe PDF |
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