A Study on the Factors Affecting Residential Price in Kaohsiung Area - the Sales Comparison Approach as an Example

• Main Authors: Chuan-Fei Lin, 林娟妃
• Other Authors: Bo-Wun Jheng
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/36574043399670096440

碩士 === 國立屏東商業技術學院 === 不動產經營系 === 94 === Real estate appraisal has generally been based on Sales Comparison Approach, Cost Approach and Income Approach, and Sales Comparison Approach takes on test cases for comparison and discrepancies in order for appraisers to calibrate and formulate the pricing for the target properties. This particular approach as well as the weighting for characteristics of individuals and success factors is easily susceptible to subjective judgment of the appraisers on price readjustments of the evaluated properties. The present research, with focuses on residential buildings in the districts of Kaohsiung, adopts collective expert opinions in place of subjective judgment of a single appraiser. Fuzzy Analytic Hierarchy Process (FAHP) was also applied to process the linguistic uncertainties of all participating professionals. Appraisal simulation by way of the Market Comparable Approach has been attempted to establish objective hierarchical models and their corresponding weighting for each factors through relative importance determination in relation to housing rate adjustments in the region. Being uninhibited by qualitative and quantitative elements, the hierarchical structure by Fuzzy Analytic Hierarchy Process (FAHP) includes the qualitative and quantitative factors into consideration. Through FAHP the fuzziness of expert opinions is also processed to effectively increase the accuracy of appraisals. The present assessment results reveal that the hierarchical structure of affecting factors for housing rate in the districts of Kaohsiung consists of 3 levels, 8 evaluation categories and items and 34 affecting factors. The second evaluation categories and items placed in order of importance are: functioning conditions (21.15%), environmental conditions (19.27%), transportation proximity (11.72%), road conditions (10.64%), local government administration (10.61%), construction (9.89%), construction design and management (9.65%) and land conditions (7.07%). There has been presence of characteristics of individuals in weighting for each affecting factors between appraisers and land administrators.