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營造工程風險評估技術指引與捷運工程風險評估之比較分析–以某市捷運工程為例
http://ir.lib.ncu.edu.tw/handle/987654321/93350
title: 營造工程風險評估技術指引與捷運工程風險評估之比較分析–以某市捷運工程為例 abstract: 在捷運工程專案中,業主需求書大多未要求使用勞動部職業安全衛生署所提出的「營造工程風險評估技術指引」(以下簡稱技術指引)來作為風險管理計畫書之撰寫依據,在這樣的背景下,不同施工廠商撰寫的捷運工程風險評估計畫書之內容,可能與技術指引要求存在有相當程度之差異。因此,本研究透過技術指引與捷運工程風險評估之比較分析結果,想要釐清這樣的差異是否會影響工地落實風險管理策略亦為一未知之實務問題。
因此,本研究一開始先確認研究背景、動機、方法等,再藉由文獻回顧瞭解國內及國外相關風險評估版本,以及其它工程風險評估相關之論文加以參考,透過技術指引與捷運工程風險評估計畫書進行差異性比較與彙整分析,藉由相關差異來擬定訪談內容,並邀請參與某市捷運工程相關人員(包含施工廠商、監造及專案管理顧問等)進行訪談,最後,彙整訪談及案例比較之內容,並針對技術指引之運用範圍、使用對象及工程實務等面向提出相關建議,以利提升技術指引在工程風險評估之使用性。
;In Mass Rapid Transit (MRT) projects, it is not mandatory for the government agency to draft a risk management plan of the turnkey design & delivery brief on the basis of the Technical Guidelines for Risk Assessment of Construction Projects (hereinafter referred to as the Technical Guidelines), which is proposed by the Occupational Safety and Health Administration under the Ministry of Labor. In this situation, risk assessment plans for MRT projects may partially differ from the Technical Guidelines. Therefore, this study aims to explore whether such difference will affect the implementation of risk management strategies at construction sites through analyzing the difference between the Technical Guidelines and risk assessment plans for MRT projects.
After the background, motivation and methodology are determined, the study draws on literature review as well as other relevant studies to understand the domestic and overseas standards of risk assessment. The outline of interview questions is developed by comparing and analyzing the difference between the Technical Guidelines and risk assessment plans for MRT projects. People, involved in MRT projects and also have more than 10-year experiences in projects, including vendors, supervisors, project managers, etc. are invited to conduct the interview. Finally, through analyzing the interviews and case comparisons, this study offers relevant suggestions for the scope of application and practical implementation of the Technical Guidelines. The findings are useful to improve the availability of the Technical Guidelines in engineering risk assessment.
<br>運用支援向量機演算法預測營造業人才招募之研究;Predicting recruitment in the construction industry using Support Vector Machine
http://ir.lib.ncu.edu.tw/handle/987654321/93349
title: 運用支援向量機演算法預測營造業人才招募之研究;Predicting recruitment in the construction industry using Support Vector Machine abstract: 近幾年,工程建案急速增加,人才流動非常頻繁,營造廠商徵才面試持續不斷,倘只要有些疏忽或是流程時間掌控不當,很容易就錯失優秀人才錄取之時機,加上等待其錄取人才回應或是來公司報到時間拉長,甚至不易掌控是否要繼續應徵其他才,付出之時間成本甚鉅。本研究依照分類方式彙整收集多家北部營造業之面試數據資料,以最多12層次對每一分類做劃分,並運用四種最受歡迎之分類演算工具進行預測,其中包含了多層層感知器(MLP)、支援向量機(SVM)、隨機森林(RF)、自組織映射機(TS-SOM),並且採用了五種交叉驗證方式來比較結果與分析,研究結果得知,以支援向量機(SVM)最為至準確,可達到93%預測面試人員錄取、非錄取與婉拒錄取之準確度,未來在招募徵才時,可運用營造公司自有之歷史面試數據,並搭配此計算機之運算方式輔助錄取審核結果之參考,可以準確判斷出錄取人才報到之機率性,減少企業等待中時間浪費。
;The rapid increase in construction projects and frequent workforce turnover pose challenges for construction firms in continuous recruitment interviews. Any oversight or improper control of the process timeline can easily lead to missing the opportunity to recruit excellent talent. This study categorically compiles and collects interview data from multiple construction companies in the northern region, totaling 560 entries spanning five years (2018-2023). The study considers 14 influencing factors and utilizes four commonly used classification algorithms for prediction, including Multilayer Perceptron (MLP), Support Vector Machine (SVM), Random Forest (RF), and Self-Organizing Map (TS-SOM). Five cross-validation methods are employed to compare and analyze the results. The findings reveal that the Support Vector Machine is the most accurate, achieving a prediction accuracy of 93% for interviewees′ acceptance, rejection, and deferment. In the future, accurate assessment of the probability of recruited talent reporting can reduce the time wasted by companies during the recruitment process.
<br>探討區域透天住宅成長因素與策略-以桃園市為例;A Study on the Factors and Strategies of Regional Townhouse Development – A Case Study of Taoyuan City
http://ir.lib.ncu.edu.tw/handle/987654321/93348
title: 探討區域透天住宅成長因素與策略-以桃園市為例;A Study on the Factors and Strategies of Regional Townhouse Development – A Case Study of Taoyuan City abstract: 房地產對各國的經濟都有著十分重大的影響力,而建商則扮演著關鍵生產者的角色,統籌房地產的生產過程並承擔著投資的風險,因此掌握購房者的交易趨勢至關重要,本研究利用實價登錄的資料分析桃園市2012年~2022年透天住宅的交易趨勢及關係,共67,277筆數據,研究各個變數之間的關係包含:交易年分、透天平均總價、透天平均每坪價格、當年交易在都市計畫區的透天比例、平均土地轉移面積、平均建物轉移面積、有管理組織比例、有車位比例、有隔間比例、當年交易的透天占總建築交易比例,最後研究總結了建設公司規劃透天住宅時的參考方向,建議優先以低建物坪數(55坪)、有車位、非都市計畫區、總價1,800萬內的建案為主要商品。;Real estate exerts significant influence on the economies of various countries, with property developers playing a crucial role as producers, coordinating the production process of real estate and assuming the associated investment risks. Understanding the transaction trends of property buyers is essential. Utilizing data from the real transaction registry, this study analyzes and synthesizes the transaction trends and relationships of townhouses in Taoyuan City from the year of 2012 to 2022, resulting in a total of 67,277 datasets. Investigating the relationships among variables are conducted including: transaction year, average total price, average price per square meter, the proportion of standalone houses in urban planning areas for transactions that year, average land transfer area, average building transfer area, proportion with management organizations, proportion with parking spaces, proportion with partitions, and the proportion transactions in the total building transaction for the respective year. The research concludes recommendations for construction companies when designing townhouses, suggesting a preference for designs with a lower building area (55 ping), parking spaces, non-urban planning areas, and projects with a total price below 18 million.
<br>區域停車場最佳月租金之研究–以混和型住宅區為例;A study on optimal monthly parking fees for regional parking lots at mixed residential areas
http://ir.lib.ncu.edu.tw/handle/987654321/93347
title: 區域停車場最佳月租金之研究–以混和型住宅區為例;A study on optimal monthly parking fees for regional parking lots at mixed residential areas abstract: 住宅物業經常面臨停車位不足的挑戰,導致需要租賃外部停車設施來滿足居民的停車需求。消費者特別關注相關的租賃成本,凸顯了合理確定每月停車費的必要性。本研究旨在製定和優化適合台灣城市地區混合住宅區的每月停車費。透過借鑒相關文獻來識別關鍵屬性,資料收集集中在桃園市內壢火車站附近,該地區的條件符合環境和停車場管理同質性的研究假設。採用便利抽樣法,歷時3個月,涵蓋指定區域15個停車場。共收集了 740 個資料集,包括停車設施、每月需求、每月費用和停車場可用性資訊。透過情境分析產生並評估了 R2 值為 0.761 的多元迴歸方程式。該方程式根據經驗案例進行了驗證,證明其準確性在 95% 的置信區間內。;Residential properties frequently face challenges related to insufficient parking spaces, leading to the necessity of leasing external parking facilities to fulfill the residents′ parking requirements. Consumers are particularly attuned to the associated leasing costs, underscoring the need for a rational determination of monthly parking rates. This study aims to formulate and optimize monthly parking fees tailored to mixed residential areas in urban regions of Taiwan. By drawing on relevant literature to identify key attributes, the data collection focuses on the vicinity of Neili Train Station in Taoyuan City, where conditions align with the research assumptions of environmental and parking lot management homogeneity. A convenience sampling method was employed over a 3-month period, covering 15 parking lots in the designated region. A total of 740 datasets, including information on parking facilities, monthly demand, monthly fees, and parking lot availability, were collected. A multiple regression equation with an R2 value of 0.761 was generated and assessed through scenario analysis. The equation, validated against empirical cases, demonstrated an accuracy within a 95% confidence interval.
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