17 بهمن 1401
رحيم بردي آنامرادنژاد

رحیم بردی آنامرادنژاد

مرتبه علمی: دانشیار
نشانی:
تحصیلات: دکترای تخصصی / جغرافیا وبرنامه ریزی شهری
تلفن: 01135302687
دانشکده: دانشکده علوم انسانی و اجتماعی

مشخصات پژوهش

عنوان
Using Web Mining in the Analysis of Housing Prices A Case study of Tehran
نوع پژوهش مقاله ارائه شده
کلیدواژه‌ها
Hedonic Price model; web mining; web crawler; housing prices; real estate market; Tehran
پژوهشگران رحیم بردی آنامرادنژاد (نفر اول) ، طاهر صفرراد (نفر دوم) ، عیسی آنامرادنژاد (نفر سوم) ، جعفر حبیبی (نفر چهارم)

چکیده

There have been many previous works to determine the determinants of housing prices. All of these works relied on a relatively small set of data, mostly collected with the help of real estate agencies. In this work, we used web mining methods to generate a big, organized dataset from a popular national brokerage website. The dataset contains structural characteristics of more than 139,000 apartments, alongside their location and price. We provided our full dataset for the article, so that other researchers can reproduce our results or conduct further analyses. Using this dataset, we analyzed housing prices of Tehran in order to identify its major determinants. To this aim, we examine the dynamics of housing prices at the district levels of Tehran using Hedonic Price model. Our results highlight a number of points, including: Base area of an apartment is positively correlated with price per square meter (r=0.89), showing a two-folded impact on the overall price. Air quality is in a positive, and floor level is in negative correlation with housing prices.