基于Web数据的实证研究：城市轨道交通对住宅价格的时空效应分析

doi:10.11896/j.issn.1002-137X.2015.09.038

计算机科学 ›› 2015, Vol. 42 ›› Issue (9): 199-203.doi: 10.11896/j.issn.1002-137X.2015.09.038

基于Web数据的实证研究：城市轨道交通对住宅价格的时空效应分析

刘康,李舟军,张小明

北京航空航天大学计算机学院北京100191,北京航空航天大学计算机学院北京100191,北京航空航天大学计算机学院北京100191

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金(61170189,6,61202239),教育部博士点基金(20111102130003)资助

Empirical Research Based on Web Data:An Analysis on Spatio-temporal Effect of City Rail Transit on Residential House Prices

LIU Kang, LI Zhou-jun and ZHANG Xiao-ming

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 基于网络爬虫获取的真实Web数据,研究了长沙地铁2号线开通试运行前后轨道交通对其沿线住宅价格的影响程度。首先,通过分析住宅价格特性和影响因素,建立了影响长沙市住宅价格形成和波动的特征价格模型,包括区位特征、邻里特征和结构特征等13个特征因素；并通过显著性检验,确定地铁特征对住宅价格具有显著影响；同时进一步分析了地铁站点对周边住宅的显著影响范围。然后,基于长沙地铁2号线开通前后住宅价格分布的可视化分析,提出城市中心区域的地铁站点周边房价下降、城市外围区域的地铁站点周边房价上升的假设；并利用假设检验方法验证了该假设的正确性。

关键词: 轨道交通,住宅价格,特征价格模型,长沙地铁2号线

Abstract: Based on real Web data collected by Web crawlers,this paper discussed the impact of rail transit system on the surrounding residential house prices in the case of Changsha subway line 2.First,by means of analyzing house prices’ features and influence factors,a hedonic model was established based on the formation and fluctuation of residential house prices in Changsha,including 13 feature variables consisting of location features,neighborhood features and structural features.Our study also confirmed the significant influence of subway features on residential house prices via significance testing,with further analysis of the significant influence range of subway stations.Second,based on the visualization of price distribution before and after the opening of Changsha subway line 2,a hypothesis that house price declines around subway stations in downtown area and house price increases around subway stations in suburb area was proposed.The hypothesis was validated based on hypothesis testing method.

Key words: Rail transit,Residential house price,Hedonic model,Changsha subway line 2

刘康,李舟军,张小明. 基于Web数据的实证研究：城市轨道交通对住宅价格的时空效应分析[J]. 计算机科学, 2015, 42(9): 199-203. https://doi.org/10.11896/j.issn.1002-137X.2015.09.038

LIU Kang, LI Zhou-jun and ZHANG Xiao-ming. Empirical Research Based on Web Data:An Analysis on Spatio-temporal Effect of City Rail Transit on Residential House Prices[J]. Computer Science, 2015, 42(9): 199-203. https://doi.org/10.11896/j.issn.1002-137X.2015.09.038

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基于Web数据的实证研究：城市轨道交通对住宅价格的时空效应分析

Empirical Research Based on Web Data:An Analysis on Spatio-temporal Effect of City Rail Transit on Residential House Prices

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