評估台中市捷運站據點規劃對住宅市場之研究

本研究結合台中市房屋實際成交資料與台中市公共建設之地理區位資料，建立一住宅估價模型，以同時考量住宅之內、外部屬性對房價的影響。台中市房屋成交資料採用「不動產成交行情公報」所發佈之資訊，而住宅與公共建設之地理空間相關屬性資料則以地理資訊系統(Geographical Information System，GIS)分析求得。另外，本文利用2007年與2009年台中市住宅年度交易資料，輔以差異中之差異(Difference-in-Difference)分析方法，探討台中市發佈捷運站據點前後，位於車站服務範圍內的住宅價格之變化情形。研究結果發現： 1). 半對數迴歸模型對於住宅價格有良好的解釋能力。 2). 集合式住宅的屬性中，以建坪、土地、房間數、廳堂數、衛浴數、總樓高、屋齡、車位、體育場、市政府、新市政中心、七期重劃區與鐵路兩側為影響房價之重要因素。 3). 獨立式住宅屬性中，以建坪、土地、屋齡、停車場與捷運站為影響房價之重要因素。 4). 差異中之差異法之結果顯示對於捷運站據點發佈後，其600公尺內之集合式住宅價格呈現負向的顯著關係。

關鍵字

住宅價格；特徵價格理論；捷運；地理資訊系統；差異中之差異法

並列摘要

Title of Thesis：Assessing The Value Impacts of Taichung MRT Stations on Residential House Market Name of Institute：Graduate Institute of Economics, College of Management, National Chi Nan University 　 Pages：86 Graduation Time：June, 2011 Deegree Conferred：Master Student Name：Yen-Ling Su Advisor Name：Chia-Yu Yeh Abstract This study develops a house pricing model to analyze the house market in Taichung City. Both of the indoor and outdoor properties of houses are incorporated. The data of house transaction information are collected from Taiwan’s Real Estate Portal, where the indoor data of houses are provided. To obtain the outdoor properties, this study applies the Geographical Information System (GIS) by mapping each of the house addresses with the urban planning data published by Taichung government. In addition, this study adopts Difference-in-Difference method to analyze the house data in years 2007 and 2009 so that the value impacts from the Taichung MRT development plan announced in 2008 can be revealed. The results show: 1). The semi-logarithmic regression model for housing prices has a good explanatory power. 2). For the case of apartments, the properties of floor space, land size, the numbers of rooms, living rooms, kitchens, and bathrooms, total floors of building, age of the house, with parking spaces, stadium, near the old city hall, the new city hall, HuiLai urban land consolidation, or the railroads are all important factors affecting the price. 3). For town houses, the properties of floor space, land size, age of the house, parking lot, and near the MRT stations are important factors. 4). The results estimated by Difference-in-Difference method show that the price of apartments within 600 meters distance of the MRT station decreases after the release of station locations.