Real Estate Price Models of Based on Real Price Registration

• Main Authors: Chiu, Szu-Chieh, 邱司杰
• Other Authors: Yi, Chih-Wei
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/12687281526924864940

碩士 === 國立交通大學 === 網路工程研究所 === 103 === In recent years, open data is a trend in many country to access public-interesting data. In the meanwhile, the Ministry of the Interior, Taiwan has been promoting the Real Price Registration System to make the real estate transaction data public. In this work, we would like to build a system to consistently real estate price data from various sources for future research works, visualize the collected data for easy understanding, and develop skills to model the house price market. In this work, we built a database to collect house price data, including the real estate transaction data obtained from the Real Price Registration System (from August 2012 to September 2013), and the real estate pricing data periodically crawled from the U-Trust website. A web site was created to demonstrate the collected data by various visualization techniques, including bar charts, line charts, stack charts, and other diversified graphs to reveal the trends of the housing market in Taiwan. House price models were constructed by SPSS linear regression based on the transactions records from the Real Price Registration System. The parameters used in the models include the floor number, building age, pattern, house types, etc. We developed the price models for the districts of Taipei City.