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.

Public participation is increasingly becoming a necessary content in community regeneration in China, though there is a lack of evaluation of the public participation process. This study explores a method for evaluating the public participation process, with the aim of improving the effectiveness of public participation. Based on the American Customer Satisfaction Index (ACSI) and using the analysis method of structural equation modeling, this study has preliminarily established the evaluation model of public participation processes represented by “Expectation–Perception–Satisfaction–Trust (EPST)”, while taking a case study in Nanjing for empirical study. The results show that to improve general satisfaction and public trust in those activities participated in, it is necessary to upgrade public expectation and the public perceived quality at the same time. This study believes that the entire investigation and understanding of public demands before regeneration is the premise to improving the regeneration effect. For community regeneration in Chinese cities, the key is to mobilize public participation, while a detailed understanding of residents’ needs for community environment and community services is an important part of enhancing the effectiveness of regeneration. This study believes that in community regeneration, actively organizing various participation activities and giving full play to the role of local government and third-party organizations are conducive to enhancing the public’s satisfaction with regeneration.

Online shopping has promoted the development of logistics and express delivery businesses. Express delivery stations are closely related to residents’ daily lives, and it is an important topic for the study of urban consumption space and commercial service space. This paper analyzed the factors influencing the spatial distribution of terminal logistics space (express delivery stations) in the process of online shopping. The gradient boosting decision trees (GBDT) was selected for analyzing the factors influencing the distribution of express delivery stations. The results demonstrated that express delivery stations’ distribution is mainly influenced by commercial retail and residential neighborhoods, showing a clustering toward consumer spaces and residential areas. This paper studied the association between express delivery stations and other functional spaces in the city, and established an analytical framework for the factors influencing the spatial distribution of express delivery stations. The research results help to improve the rationality and effectiveness of the setting and management of the terminal logistics space in the online shopping process.