论文标题
大数据时代的住房搜索：更聪明的城市还是相同的旧盲点？
Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?
论文作者
论文摘要
住房学者强调信息环境在塑造住房搜索行为和结果中的重要性。在过去的二十年中，租赁清单越来越在线移动，而Craigslist等在线平台现在是搜索过程的核心。这些技术平台是否用作信息均衡器，还是反映了与邻里社会人口统计学相关的传统信息不平等？我们综合并扩展了数百万美国Craigslist租赁清单的分析，发现它们在不同社区提供了明显不同的量，质量和类型的信息。技术平台有可能扩大，多样化和均衡住房搜索信息，但它们依靠房东行为，而没有重大的重新设计或政策干预，可能不会发挥这种潜力。聪明的城市倡导希望通过技术建立更好城市的智慧城市必须严格询问技术平台和系统偏见的大数据。
Housing scholars stress the importance of the information environment in shaping housing search behavior and outcomes. Rental listings have increasingly moved online over the past two decades and, in turn, online platforms like Craigslist are now central to the search process. Do these technology platforms serve as information equalizers or do they reflect traditional information inequalities that correlate with neighborhood sociodemographics? We synthesize and extend analyses of millions of US Craigslist rental listings and find they supply significantly different volumes, quality, and types of information in different communities. Technology platforms have the potential to broaden, diversify, and equalize housing search information, but they rely on landlord behavior and, in turn, likely will not reach this potential without a significant redesign or policy intervention. Smart cities advocates hoping to build better cities through technology must critically interrogate technology platforms and big data for systematic biases.
