{"title":"Unlocking insights in real estate markets: Integrating geo-spatial data for comprehensive property valuation and urban planning.","authors":"Serkan Varol, Serkan Catma","doi":"10.1016/j.dib.2024.111141","DOIUrl":null,"url":null,"abstract":"<p><p>This article summarizes a database for analyzing the impact of structural and environmental characteristics on residential property values in Hamilton County, TN. The original dataset consists of house characteristics data for 873 residential sales between January 1, 2023, and September 25, 2023. Using Google's API tools and Point to Edge computations, several geographical variables-including the distance to green recreational areas, surrounding facilities, restaurants, air quality index, walk score-were gathered. The aggregated information can help forecast Hamilton County's housing market with accuracy and correctly assess the environmental impact on housing prices. More specifically, the value of any environmental amenity in the study area can be implicitly estimated using this dataset.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111141"},"PeriodicalIF":1.0000,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11647156/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.dib.2024.111141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This article summarizes a database for analyzing the impact of structural and environmental characteristics on residential property values in Hamilton County, TN. The original dataset consists of house characteristics data for 873 residential sales between January 1, 2023, and September 25, 2023. Using Google's API tools and Point to Edge computations, several geographical variables-including the distance to green recreational areas, surrounding facilities, restaurants, air quality index, walk score-were gathered. The aggregated information can help forecast Hamilton County's housing market with accuracy and correctly assess the environmental impact on housing prices. More specifically, the value of any environmental amenity in the study area can be implicitly estimated using this dataset.
本文总结了一个数据库，用于分析田纳西州汉密尔顿县结构和环境特征对住宅物业价值的影响。原始数据集包括2023年1月1日至2023年9月25日期间873套住宅销售的房屋特征数据。使用谷歌的API工具和Point to Edge计算，收集了几个地理变量，包括到绿色休闲区域的距离、周围设施、餐馆、空气质量指数、步行得分。汇总的信息可以帮助准确预测汉密尔顿县的房地产市场，并正确评估环境对房价的影响。更具体地说，研究区域内任何环境设施的价值都可以使用该数据集进行隐式估计。
期刊介绍：
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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