Multicriteria Evaluation on Types of Mass Housing in POST-SARS Age

碩士 === 國立中央大學 === 土木工程研究所 === 92 === ABSTRACT The outbreak of SARS in 2003 set off a temporary global panic, which had major social and economic repercussions in numerous nations. Most SARS cases were concentrated in heavily populated, highly urbanized areas containing many high-rise buildings. New...

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Bibliographic Details
Main Authors: Chin-Si Hu, 胡清溪
Other Authors: none
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/38145725071211246875
Description
Summary:碩士 === 國立中央大學 === 土木工程研究所 === 92 === ABSTRACT The outbreak of SARS in 2003 set off a temporary global panic, which had major social and economic repercussions in numerous nations. Most SARS cases were concentrated in heavily populated, highly urbanized areas containing many high-rise buildings. New residential buildings in these areas are chiefly mass housings. This study consequently assesses the quality of mass housings with different capacity ratios, coverage ratios, residential/commercial uses, and public facility development ratios in the post-SARS age. The study first establishes four key indicators quantifying the social effectiveness and influence of mass housing types in the post-SARS age. These are the: (1) transportation impact and cost indicator, (2) residence internal health cost indicator, (3) residence external social cost indicator, and (4) private sector construction profitability indicator. AHP level analysis was then used to analyze the correlation between pairs of indicators and derive the relative importance of each indicator. Lastly, the TOPSIS multiple criteria method was used to assess different types of mass housings and arrange the housing types in order of social effectiveness. When the TOPSIS method was used to arrange different types of mass housings in order of social effectiveness in the post-SARS age, it was found that Type 14, which is characterized by low capacity ratio, high coverage ratio, mixed residential/commercial use, and a high level of public facility development, was the best type of mass housing. Second best was Type 13, which is characterized by low capacity ratio, high coverage ratio, mixed residential/commercial use, and a low level of public facility development, and third best was the mass housing type with a high capacity ratio, high coverage ratio, mixed residential/commercial use, and a high level of public facility development. The worst was Type 3, which is characterized by high capacity ratio, low coverage ratio, pure residential use, and a low level of public facility development. The study's results may be used by the government in connection with the review of existing architectural laws and regulations and the approval of mass housing projects. Keywords: SARS, mass housings, TOPSIS