A Study of Individual Appraisal Information of Site Survey Integrated in Hedonic Price Model

• Main Authors: LU, YU-WEN, 盧裕文
• Other Authors: Lee, Yung-Lung
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/13140217293532633824

碩士 === 長榮大學 === 土地管理與開發學系碩士班 === 104 === After the implementation of Basel II in 2008, the global market pays more attention to risk management and asset revaluation, which makes the asset value can be immediately reflected on the market value. Real estate assets management which accounts for an important ratio, therefore the importance of real estate appraisal is getting more notable. In addition to drawing on the Real estate appraisers for individual appraisal, it completed by mass appraisal. Because at the same time it can increase the large-scale of real estate assets revaluation. Since mass appraisal techniques is restricted to the difficulty of obtaining the information, it is not easy to reflect the entire characteristics of real estate and thus there is a risk for estimation bias. Errors can usually reduce by Appraiser’s site survey, in relation to located neighborhood environment, quality of life and convenient transportation for the price corrected reference, in order to reflect the true price. In this study, referring to appraiser’s site survey and raises a reasonable standardized procedure to reduce the estimation bias and improves the accuracy of the appraisal. In addition to offering future practice reference, it can be a framework for developing site survey application in the future. Establishing a large number of objective valuation models, in order to obtain a large number of appraisal’s predictable characteristics and factors. After the results of valuation models, leading indicators are the measure of floor area, building’s age, whether it is townhouse, the main purpose, number of rooms and baths. The seven variables have a significant impact on real estate prices. In the analysis of the accuracy of the model, the hit rate of 10% and 20% is 47.69% and 77.69% respectively, with 12.15% of mean absolute percentage error. Through the model-based testing and comparison of the accuracy of analysis, it shows that the model we built from the study has a certain degree of stability and accuracy. In the future, it not only can help appraisers evaluate reasonable range of price, but also can offer appraisers reference resources about price verification in individual appraisal.