Analysis Of The Rent Price And Its Influencing Factors In Guangzhou

Guangzhou is one of the most important cities in China,and it is an international trade center and comprehensive transportation hub.As a first-tier city,Guangzhou has a large number of net population inflow every year.Such people have no fixed residence,usually in the form of rental housing to solve the residential demand,so the demand for renting houses in Guangzhou is expanding every year.In the China's 14th Five-Year Plan this year,it is emphasized that China should develop the rental market,expand the supply of rental housing,expand the security rental housing,improve the legal protection of rental houses,and let the renters enjoy the same rights of the buyers.For the traditional rental industry,the instability of the rental price is very serious.On the one hand,the landlord,due to the subjective factors such as greed or pessimism,causes the price of house rent to deviate from the real value of the house,which leads to the waste of resources in the vacant housing with too high price,or the low price of the house rent causes the landlord to fail to obtain the rent with the same value as the rental house;on the other hand,the overheated real estate market and the prevalence of speculation may be Distorting the housing rental market leads to the high rent price of the house,which makes it difficult for the renters to find the high cost-effective houses that meet their own demand price,or bear the pain to pay the high rent to increase the living burden.Therefore,it is necessary to study the housing rent in Guangzhou.This paper analyzes the price of housing rent and its influencing factors by using the real housing rental data in Guangzhou.First,the initial data is preprocessed to convert the data into a formal data set that can be directly analyzed and used.Then,the paper analyzes the data characteristics of the house rent price and its influencing factors,analyzes the relationship between different influencing factors,and combines the relevant analysis and hypothesis test method,and analyzes the data scientifically and objectively from the perspective of mathematics and statistics,So as to have a clear understanding of the data on the whole.Then,From the north-south and east-west direction,this paper analyzes the change trend of housing rental price in Guangzhou,and draws the rent distribution map of Guangzhou,which is used to analyze the overall distribution of rent in Guangzhou,and provides the renters with suggestions on the housing location and housing information.Finally,the model of house rent price is established.Using a variety of models including decision tree,random forest,XGBoost and linear regression,the importance of influencing factors is analyzed,the influence factors are analyzed,and the model evaluation indexes R~2,NMSE and RMSE are compared to different models,and the best prediction model is XGBoost,and the cross validation method is used to verify the model Evidence.Not only a higher prediction accuracy model is given for the low accuracy of the model in the existing research,but also provides valuable information for the landlord and the renter to a certain extent.Both the landlord and the renter can use the model to predict the value of the house itself,and reduce the resource waste and economic loss caused by the high or low rent price of the house.This paper uses the longitude and latitude data,transforms the longitude and latitude into the housing location information,analyzes and models the house rent price and its influencing factors from the horizontal perspective,which has some innovation.This paper analyzes the price of housing rent and its influencing factors in Guangzhou,which helps to alleviate the resource waste and economic loss caused by the instability of the house rent price in the housing rental market,and provides reference for the healthy development of the housing rental market,and provides valuable information and suggestions for the rental market in Guangzhou.