由Airbnb重塑的城市:纽约市,芝加哥和洛杉矶的一个案例研究
1Urban Information Lab, The University of Texas at Austin, USA.
概括
在美国各大城市,Airbnb上市的分布有很大差异. 纽约市显示出高度倾斜的模式,而芝加哥和洛杉矶的Airbnb分布更为均,对社区的影响不同.
科学领域:
- 城市研究 城市研究
- 地理信息系统 (GIS) 是指地理信息系统.
- 酒店酒店管理的管理.
背景情况:
- 爱彼迎 (Airbnb) 经历了全球快速增长,发展成为酒店业的主要参与者.
- 学术研究越来越多地利用空间分析来研究共享经济对城市的影响.
- 了解Airbnb列表的空间分布对于评估其对城市的影响至关重要.
研究的目的:
- 分析和可视化Airbnb在美国三大城市上市的空间分布模式.
- 为了比较纽约市,芝加哥和洛杉矶的Airbnb列表的强度和均性.
- 探索不同的分布模式如何可能导致不同的社区层面的影响.
主要方法:
- 应用图表图表处理工具来重塑人口普查区域.
- 基于Airbnb在这些区域内的列表强度的分析.
- 在三个不同的城市环境中进行比较空间分析.
主要成果:
- 在被研究的城市中,Airbnb列表分布的显著差异被观察到.
- 纽约市表现出高度倾斜的分布,使人口普查片在分析后无法识别.
- 芝加哥和洛杉矶的Airbnb分布逐渐更加均,地图变形较少.
结论:
- 在美国大城市,Airbnb上市的空间分布并不均.
- 不同的城市呈现出独特的Airbnb整合模式,受当地因素的影响.
- Airbnb对城市社区的局部影响与其列表密度和分布模式直接相关.
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