使用层次分析法(AHP)对阿布贾私人住宅小区的用户满意度

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
A. B. Obayomi, O. T. Ogunbayo
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引用次数: 2

摘要

摘要住房研究的基本因素源于这样一个事实,即人们的生活和幸福取决于房屋及其所在环境的质量。住房满意度超越了实体和美学。它研究了眼睛还看不到的住房属性,这些属性可能会影响居住者对此类建筑的满意度。本研究采用层次分析法(AHP)对私人住宅小区的使用者满意度进行调查。这项研究势在必行,因为尼日利亚的大多数研究主要集中在政府所有或社会住房满意度上。虽然私人住宅近年来很少受到关注。在13周的调查期内,根据住户的可用性水平,向考虑中的屋苑内的住户随机发放了280份问卷。根据调查,影响用户满意度的首要因素是公用事业充足性、基础设施、设施提供和维护因素,优先级权重分别为0.425、0.235和0.203。因此,房地产从业者和住房开发商必须适当考虑这些住房属性,以提高生活质量,提高建筑性能,从而提高总投资回报率,并满足整体用户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User’s satisfaction with private housing estates in Abuja using Analytical Hierarchy Process (AHP)
ABSTRACT The underlying factors of housing research emanate from the fact that people's lives and well-being rely on the quality of the house and the surroundings where it is situated. Housing satisfaction goes beyond brick and mortar and aesthetics. It examines housing attributes that are not already visible to the eyes that could influence the occupants’ satisfaction with such buildings. This study investigated user's satisfaction with private housing estates using the Analytical Hierarchy Process (AHP). The research is imperative because most studies in Nigeria focused mainly on government-owned or social housing satisfaction. While private housing estates have received little attention over the years. 280 questionnaires were randomly distributed to the building occupants within the estates under consideration based on their level of availability during the 13 weeks surveyed periods. From the survey, the top-ranked factors that influence user satisfaction were utility adequacy, infrastructural, provision of facilities, and maintenance factors with the priority weight of 0.425, 0.235, and 0.203 accordingly. Therefore, real estate practitioners and housing developers must take these housing attributes into proper consideration to promoting a better quality of living, enhancing building performance that could increase the total return on investment, and meet the overall user satisfaction.
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来源期刊
Intelligent Buildings International
Intelligent Buildings International CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.60
自引率
4.30%
发文量
8
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