School of Architecture, Southeast University, Nanjing, Jiangsu, China.
Jiangsu Institute of Urban Planning and Design, Nanjing, Jiangsu, China.
PLoS One. 2021 Mar 18;16(3):e0248647. doi: 10.1371/journal.pone.0248647. eCollection 2021.
As in other countries, short-term rentals for tourism services are growing rapidly in China's tourist cities, which are mainly operated through Airbnb. This paper explores whether the spatial distribution of Airbnb in China's rapid urbanization process exhibits characteristics, paths, and drivers that are different from those of cities in other countries. Airbnb is a model for the global sharing economy, but it is increasingly influenced by other functions and facilities in cities as it grows. In this paper, the zero-expansion negative binomial regression was used to study the factors affecting the spatial distribution of Airbnb in Nanjing, China. The results showed that the spatial distribution of Airbnb listings was correlated with the distribution of cultural attractions, universities, public transport accessibility, shopping centers, and business apartments. By analyzing the driving forces of Airbnb's development in Nanjing, this paper found that a large number of business apartments developed in cities were essential providers of Airbnb listings, and affected its spatial distribution. The gap between short-term and long-term rentals was also correlated with the distribution of Airbnb. In addition, similar to the previous literature findings, the increase in the proportion of professional hosts changes the original intention of Airbnb for sharing and communication. Our empirical results applies to the current situation of Airbnb in Chinese cities, which is conducive to the government's more intelligent management and effective promotion of the Airbnb market. Our findings also provide positive references for urban renewal policies and public participation methods in China.
与其他国家一样,中国旅游城市的旅游服务短期租赁业务发展迅速,主要通过 Airbnb 运营。本文探讨了 Airbnb 在中国快速城市化进程中的空间分布是否表现出与其他国家城市不同的特征、路径和驱动因素。Airbnb 是全球共享经济的典范,但随着其规模的不断扩大,它越来越受到城市其他功能和设施的影响。本文采用零膨胀负二项回归模型,研究了影响中国南京 Airbnb 空间分布的因素。研究结果表明,Airbnb 房源的空间分布与文化景点、大学、公共交通可达性、购物中心和商务公寓的分布相关。通过分析南京 Airbnb 发展的驱动力,本文发现城市中大量开发的商务公寓是 Airbnb 房源的重要提供者,影响了其空间分布。短租和长租之间的差距也与 Airbnb 的分布相关。此外,与之前的文献发现类似,专业房东比例的增加改变了 Airbnb 共享和交流的初衷。我们的实证结果适用于中国城市 Airbnb 的现状,有助于政府更智能地管理和有效促进 Airbnb 市场。我们的研究结果还为中国的城市更新政策和公众参与方法提供了积极的参考。