Predicting Carpark Prices Indices in Hong Kong Using AutoML
作者机构：Sustainable Real Estate Research CenterHong Kong Shue Yan UniversityHong Kong999077China Chakrabongse Bhuvanarth International Institute for Interdisciplinary StudiesRajamangala University of Technology Tawan-OkBangkok10400Thailand Zhongyuan Region CompanyJinke Property Group Co.Ltd.Zhengzhou450000China Wolfson CollegeOxford UniversityOxfordOX26UDUK Institute of Biomedical and Environmental Science&TechnologyUniversity of BedfordshireLutonLU13JUUK School of Life SciencesShanxi UniversityTaiyuan030006China Department of Computer Science and EngineeringEuropean University CyprusNicosia1516Cyprus
出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)
年 卷 期：2023年第134卷第3期
页 面：2247-2282页
核心收录：
学科分类：08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程]
主 题：Carpark repeat sales index AutoML Hong Kong natural language processing tokenization
摘 要：The aims of this study were threefold:1)study the research gap in carpark and price index via big data and natural language processing,2)examine the research gap of carpark indices,and 3)construct carpark price indices via repeat sales methods and predict carpark indices via the *** researching the keyword“carparkin Google Scholar,the largest electronic academic database that coversWeb of Science and Scopus indexed articles,this study obtained 999 articles and book chapters from 1910 to *** confirmed that most carpark research threw light on multi-storey carparks,management and ventilation systems,and reinforced concrete *** most common research method was case *** price index research,many previous studies focused on consumer,stock,press and futures,with many keywords being related to finance and *** indicated that there is no research predicting carpark price indices based on an AutoML *** study constructed repeat sales indices for 18 districts in Hong Kong by using 34,562 carpark transaction records from December 2009 to June ***’s carpark price was about four times that of Yuen Long’s carpark price,indicating the considerable carpark price differences inHong *** research evidenced the features that affected the carpark price indices models most:gold price ranked the first in all 19 models;oil price or Link stock price ranked second depending on the district,and carpark affordability ranked third.
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