台灣房屋消費力分群

The Clustering of Taiwanese Consuming Capacity for Dwelling Houses

10.6338/JDA.201510_10(5).0007

尤俐勻(Li-Yun Yu)

城市消費力 ； 房屋住宅消費力 ； 資料採礦 ； 集群分析 ； Consuming capacity ； Data mining ； Cluster analysis

Journal of Data Analysis

10卷5期（2015 / 10 / 01）

155 - 185

繁體中文

近年來越來越多台灣民眾大嘆買不起房，BBC引用數據指出，光是台北房價，近4年來就漲了5成，漲幅排名亞洲第4，而台北市的新成屋平均每坪要73萬，但台灣人的薪水卻已13年沒增加。因此探討國內民眾房屋消費力之議題，是有其必要性。本研究目的希望能透過國內民眾房屋相關消費數據，依據資料探勘技術進行集群分析，探討各群集不同的背景資料及消費能力表現，並給予其適合的房屋購買建議以及針對建商及房仲角度給予建議。另外根據地圖的繪製，可以讓民眾及相關單位清楚了解到城鄉所得及消費能力水準的差距。

Recently there are accumulating complaints about the inaccessibility of dwelling houses among Taiwanese citizens. Based on their data, BBC has pointed out that, merely in Taipei city, house prices increased by 50% within the past four years, the fourth highest in Asia. It's a serious problem that the average price of new houses in Taipei city reaches 0.22 million NTD/m2 whereas the average salary didn't increase for 13 years. Therefore, citizens' consuming capacity for housing is a critical and urgent issue. The aim of this study is to discuss the differences in background and consuming capacity between clusters of citizens using the data mining analysis of their related consumption records, and to provide them with recommendations regarding practically affordable dwelling houses for individual cluster. Additionally, the color-coded map of different clusters in this study may also inform the citizens and responsible officials about the regional differences in average incomes and consuming capacity.