从档案到人工智能:布鲁内伊达鲁萨拉姆三十年来的住宅物业数据
Haziq Jamil1, Amira Barizah Noorosmawie1, Hafeezul Waezz Rabu1
1Mathematical Sciences, Faculty of Science, Universiti Brunei Darussalam, Jalan Tungku Link, Bandar Seri Begawan BE1410, Brunei Darussalam.
Data in brief
|April 16, 2025
概括
一个新的数据集提供了对布鲁尼1993-2025年房地产市场的见解,涵盖了超过30,000个房地产上市. 该资源通过提供历史住房数据来帮助经济和城市规划研究.
科学领域:
- 经济学 经济学 经济学
- 城市规划 城市规划
- 房地产研究 房地产研究
- 数据科学数据科学数据科学
背景情况:
- 对布鲁尼历史性房地产市场数据的有限访问妨碍了全面的分析.
- 文莱达鲁萨拉姆中央银行的住宅物业价格指数 (RPPI) 历史不长 (自2015年以来),并且限制了原始数据的访问.
研究的目的:
- 引入第一个公开可用的,全面的数据集来分析文莱的房地产市场.
- 提供一个历史数据资源 (1993-2025年) 补充现有指数,并使更深入的市场分析.
主要方法:
- 从报纸广告和在线平台收集数据 (1993-2025年).
- 利用手动转录,自动网络抓取和大型语言模型 (LLM) 来进行数据处理和编码非结构化文本.
- 整合了关键物业属性 (价格,位置,类型,特征) 与区域级空间信息.
主要成果:
- 已经创建了超过30,000个物业列表的数据集,为定量分析提供了丰富的来源.
- 该数据集能够对汶莱住房市场趋势进行详细的空间和时间分析.
- 上市价格作为市场价值的代理,对于趋势分析有用,尽管可能与实际销售价格的偏差.
结论:
- 新建立的数据集为研究人员和政策制定者提供了有价值的,可访问的资源.
- 通过详细的历史住房市场数据,促进经济,城市规划和房地产研究.
- 支持有关汶莱住房部门的明智政策决策.
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