本文選題：公租房 + 居住滿(mǎn)意度�。� 參考：《華僑大學(xué)》2015年碩士論文

【摘要】：近幾年,由于房?jī)r(jià)上漲過(guò)快,中等收入住房困難民眾如新職工、外來(lái)務(wù)工人員等等住房支付能力嚴(yán)重不足,為了改善這一住房困難顯現(xiàn),政府出臺(tái)了一些列政策來(lái)緩解“夾心層”住房困難的局面,政府但不僅要提供公租房的住房,更應(yīng)該注重居民的居住滿(mǎn)意與否。以對(duì)公租房居住滿(mǎn)意度的探討,特別是公租房項(xiàng)目走在前列的廈門(mén)市公租房滿(mǎn)意度的探討是本文的中心。本文在顧客滿(mǎn)意度理論、居住滿(mǎn)意度理論研究基礎(chǔ)上,以美國(guó)顧客滿(mǎn)意度模型為基礎(chǔ),建立了公租房居住滿(mǎn)意度影響因素理論模型,并細(xì)分了影響公租房居住滿(mǎn)意度的因素。模型以建筑本體、小區(qū)環(huán)境、配套設(shè)施、區(qū)位環(huán)境、物業(yè)管理為模型的自變量,以感知價(jià)值、居住滿(mǎn)意度、住戶(hù)抱怨和住戶(hù)忠誠(chéng)為因變量,并提出了基本假設(shè)。運(yùn)用SPSS和AMOS軟件,對(duì)廈門(mén)市公租房問(wèn)卷數(shù)據(jù)進(jìn)行統(tǒng)計(jì)和分析,并對(duì)所建立的模型進(jìn)行分析和改進(jìn),最終得出了廈門(mén)市公租房居住滿(mǎn)意度情況。本文的研究結(jié)論主要有如下幾個(gè)方面:(1)公租房居住滿(mǎn)意度是受多因素的影響的,主要有感知價(jià)值、物業(yè)管理、建筑本體、區(qū)位環(huán)境、小區(qū)環(huán)境、配套設(shè)施等,這些因素都對(duì)居住滿(mǎn)意度起著直接或間接的影響。(2)模型分析結(jié)果顯示廈門(mén)市公租房的感知價(jià)值對(duì)居住滿(mǎn)意度的影響最大,其次依次是物業(yè)管理、建筑本體、區(qū)位環(huán)境、小區(qū)環(huán)境、配套設(shè)施。(3)根據(jù)分析結(jié)果,提出一個(gè)基于SD的公租房居住滿(mǎn)意度的提升機(jī)制模型,對(duì)廈門(mén)公租房居住滿(mǎn)意度提升提出合理化建議。
[Abstract]:In recent years, because housing prices have risen too fast, people with middle-income housing difficulties, such as new workers, migrant workers, and so on, have seriously inadequate housing affordability. In order to improve the housing difficulties, The government has introduced a series of policies to ease the housing difficulties of the "sandwich layer", but the government should not only provide public rental housing, but also pay attention to residents' living satisfaction or not. In order to discuss the satisfaction of public rental housing, especially the public rental housing project in the forefront of Xiamen City public rental housing satisfaction is the center of this paper. On the basis of the theory of customer satisfaction and the theory of residential satisfaction, based on the American customer satisfaction model, this paper establishes a theoretical model of the influencing factors of public rental housing satisfaction, and subdivides the factors that affect the public rental housing satisfaction. The model takes building ontology, community environment, supporting facilities, location environment and property management as independent variables of the model, and takes perceived value, residential satisfaction, household complaint and household loyalty as dependent variables, and puts forward basic assumptions. By using SPSS and AMOS software, this paper makes statistics and analysis on the questionnaire data of public rental housing in Xiamen, analyzes and improves the established model, and finally obtains the satisfaction degree of public rental housing in Xiamen. The main conclusions of this paper are as follows: (1) the satisfaction degree of public rental housing is affected by many factors, such as perceived value, property management, building ontology, location environment, community environment, supporting facilities, etc. The results of model analysis show that the perceived value of public rental housing in Xiamen has the greatest impact on residential satisfaction, followed by property management, building ontology, location environment. According to the analysis results, this paper puts forward a model of improving the satisfaction degree of public rental housing based on SD, and puts forward some reasonable suggestions on how to improve the satisfaction degree of public rental housing in Xiamen.
【學(xué)位授予單位】：華僑大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：F299.23;TU241

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本文編號(hào)：1868786