通过空间回归方法了解Airbnb收入的空间模式和决定因素:来自印度尼西亚城市的观点
Adiwan Fahlan Aritenang1, Zahratu Shabrina2
1Urban and Regional Planning Program, School of Architecture, Planning and Policy Development (SAPPD), Institut Teknologi Bandung (ITB), Bandung, Indonesia.
PloS one
|October 10, 2025
概括
雅加达和邦杜等印度尼西亚城市的Airbnb收入受当地城市特征的影响. 结果显示了不同的空间动态,其中包括班敦格.
科学领域:
- 城市研究 城市研究
- 旅游经济学 旅游经济学
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 印尼城市越来越多地采用Airbnb,因此需要了解其空间动态和经济影响.
- 在全球南方城市背景下,平台经济的研究有限,特别是在短期租方面.
- 城市设施,旅游业和Airbnb业绩的交集在印度尼西亚仍然未被充分探索.
研究的目的:
- 进行对Airbnb在印尼雅加达和班敦的业绩进行系统的空间分析.
- 利用空间模型调查城市设施对Airbnb收入的影响.
- 探索Airbnb市场的城市特定动态及其与当地旅游经济的关系.
主要方法:
- 利用AirDNA提供的详细的Airbnb业绩数据.
- 采用空间自相关性分析来识别性能集群.
- 应用空间回归模型,包括空间滞后模型 (SLM) 和空间错误模型 (SEM),以分析设施影响.
主要成果:
- 班都:Airbnb的收入与餐馆和酒店有积极的相关性,与购物中心有负面相关性,反映了旅游的重点.
- 雅加达:Airbnb的收入与购物中心和餐馆密切相关;酒店没有显著的影响力,这表明了差异化的市场利基.
- 在Airbnb业绩动态中观察到城市特定的显著变化,挑战了一般的假设.
结论:
- 当地环境和发展政策极大地影响了像Airbnb这样的平台经济.
- 在不同城市,甚至在同一国家内,Airbnb的表现并不均.
- 这些发现有助于促进全球南方的可持续旅游和平台城市主义辩论.
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