This study examines the association between vacation home rentals (VHR) and residential burglary, disturbances, and substance crimes from social disorganization and routine activity perspectives. Airbnb and crime data for 2018 in Austin, Texas, were analyzed spatially and with multivariate count regression models. Census block groups were used as the unit of analysis (N = 602). Other variables considered include socio-demographic variables, a spatial lag, and bar and nightclub locations. Negative binomial regression analyses revealed VHR properties to be significantly and negatively associated with residential burglary, substance crimes, and disturbances when the rental was the entire structure; however, VHR properties were associated with all crime types in a significant and positive manner when the rental was only for an individual room in the property. This is the second study to find negative associations between entire structure VHRs and crime, though this study varies from others in several aspects. VHRs do not appear to contribute to crime in all circumstances, and listing type matters. However, this is a newer research topic and future studies would benefit from using longitudinal methods, addressing the temporal order of VHR properties and crime in neighborhoods, as well as considering property management characteristics.

本研究从社会混乱和日常活动的角度研究了度假屋租赁 (VHR) 与住宅盗窃、骚乱和物质犯罪之间的关联。我们对 2018 年德克萨斯州奥斯汀的 Airbnb 和犯罪数据进行了空间分析和多元计数回归模型。人口普查区块组被用作分析单位（N = 602）。其他考虑的变量包括社会人口变量、空间滞后以及酒吧和夜总会的位置。负二项式回归分析显示，当出租是整个结构时，VHR 属性与入室盗窃、物质犯罪和骚乱显着负相关；然而，当租金仅用于房产中的单个房间时，VHR 房产以重要且积极的方式与所有犯罪类型相关联。这是第二项发现整个结构 VHR 与犯罪之间负相关的研究，尽管这项研究在几个方面与其他研究不同。VHR 似乎并非在所有情况下都会助长犯罪，并且列表类型很重要。然而，这是一个较新的研究课题，未来的研究将受益于使用纵向方法，解决 VHR 财产和社区犯罪的时间顺序，以及考虑财产管理特征。VHR 似乎并非在所有情况下都会导致犯罪，并且列表类型很重要。然而，这是一个较新的研究课题，未来的研究将受益于使用纵向方法，解决 VHR 财产和社区犯罪的时间顺序，以及考虑财产管理特征。VHR 似乎并非在所有情况下都会助长犯罪，并且列表类型很重要。然而，这是一个较新的研究课题，未来的研究将受益于使用纵向方法，解决 VHR 财产和社区犯罪的时间顺序，以及考虑财产管理特征。