잠재성장모형(LGM)을 활용한 고속철도 개통이 인근 아파트 가격 변동성에 미치는 영향 연구

Abstract

1. CONTENTS
 (1) RESEARCH OBJECTIVES
 After the opening of the high-speed railway station, the volatility of the surrounding real estate prices over time was studied. Data on the actual transaction price of apartments representatively inhabited by the general public among real estate near the high-speed railway station were collected and analyzed. Through this, we would like to empirically analyze how much the location of the high-speed railway station, while is a transportation infrastructure, is affecting the price volatility.
 (2) RESEARCH METHOD
 This study was analyzed using the Latent Growth Model (LGM), which is evaluated as the best model for analyzing volatility according to changes in time by group. By comparing and analyzing the actual transaction price of apartment sales around the high-speed railway station, the effect of the opening of the high-speed railway station on the volatility of the surrounding apartment price is studied. SPSS 22 was used to process the collected data, and AMOS 22 was used to analyze the potential growth model.
 (3) RESEARCH FINDINGS
 As a result of analyzing the unconstrained potential growth model, it was confirmed that apartments located within 5km of the high-speed railway station rose in price after the location of the high-speed railway station, and apartments within 2km of the station had a much larger increase in sales price than apartments after 2km. In the pharmaceutical potential growth model, it was confirmed that the distance between apartments and high-speed railway stations, and the rate of increase in apartment sales prices as the aging period after construction increased, and there was no difference between regions.
 2. RESULTS
 As a result of the study, it was analyzed that the opening of the high-speed railway had a significant effect on changes in the prices of nearby apartments.