基于大数据的租房价格影响因素分析

基于大数据对昆明租房价格影响因素分析摘要随着我国住房交易市场的发展，租房价格水平的不断提高加大了城市低收入群体的生存压力。租房价格与地理位置密切相关，不同的区位发展定位、生活设施、交通、环境等也不同。这些因素对租房价格定价有不同的影响。研究租房价格的影响因素，有助于城市管理部门更好地管理租房价格市场。首先，通过爬虫技术收集昆明市五个区的租房价格数据，其次，从现有数据中选取特征变量，利用特征价格模型的线性形式得到租房特征的线性回归系数，得到昆明市五个区租房价格的价格模型，分析不同因素对租房价格的影响，得出建筑面积、房间数、卫生间数的回归系数均为正。关键词：昆明市：租房价格：实证分析：影响因素ABSTRACTWith the development of China's housing trading market,the continuous improvement ofrental price level has increased the survival pressure of urban low-income groups.Rentalprices are closely related to the geographical location,different location developmentpositioning,living facilities,transportation,environment and other different.These factorshave different effects on rental price pricing.Studying the factors affecting rental prices willhelp the city authorities to better manage the rental price market.First,through the crawlertechnology to collect Kunming five district rental price data,second,select the characteristicvariables from the existing data,using the characteristics of the linear form of linearregression coefficient,get the Kunming five district rental price model,analyze the influenceof different factors on the rental price.It is concluded that the regression coefficient of thebuilding area,the number of rooms and the number of toilets is positive,indicating that thelarger the building area,the more rooms,the more toilets,and the higher the rental price.Key words:Kunming city five districts;rental price;empirical analysis;influencing factors目录1绪论……1.1选题背景与意义.…1.2国内外文献综述1.2.1国内研究现状1.2.2国外研究现状.21.3论文的结构及主要内容.31.4论文的研究方法.2相关理论与模型.62.1租房价格.…..62.2空间分异。72.3特征价格理论3租房价格特征模型….83.1租房价格特征变量选取.83.1.1建筑特征变量.83.1.2邻里特征变量、区位特征变量.83.2特征因素的设置与量化…83.2.1实际数值法.83.2.2二元虚拟变量法.….83.2.3等级赋值..93.3数据的获取..93.3.1研究区域概况.93.3.2数据来源与整合….93.4昆明市租房价格特征分析.93.4.1描述性统计分析.93.4.2相关性分析。1133.4.3最小二乘法回归..123.4.4回归模型的可信度分析13