Despite the increasing attention given to smart tourism in China, limited research has been conducted on this topic. The purpose of this research was to analyze the stakeholders, applications, experiences, and challenges of smart tourism in China. Public–private partnership played a dominant role in China’s smart tourism construction. Smart technologies were applied in information platform construction, tourism statistics innovation, information offering, overcrowding management, environment and resource protection, experience co-creation and personalization, tourism traffic, and marketing. The experiences and challenges of China’s smart tourism initiative, which can provide valuable implications for other destinations to improve smartness level, were also identified.

The rise of e-shopping significantly changes the way that people shop. Transportation planners have a keen interest in the substitution of e-shopping for store shopping and its impact on transportation systems. The literature offers mixed findings on the relationship between online and store shopping. Few studies have explored this relationship in China where e-shopping has proliferated and retail land use and transportation systems have evolved. Using data gathered from adult Internet users in Nanjing, this paper applies structural equation modeling to investigate the relationships among store shopping, online shopping, and online searching. The results show that online shopping and store shopping have a positive association, however, the effect is from the latter to the former. Online searching positively influences both online shopping and store shopping. These results imply that e-shopping as an information channel promotes store shopping.

The research shift from central place theory to central flow theory has demonstrated the influence of information technology on cities. The study explores this shift at the city scale of urban catering industry in Nanjing, China. A comprehensive set of indicators of E-WoM for the catering industry has been established. Based on this, the spatial distribution patterns of catering industry in Nanjing, China have been discussed to examine the relationship of restaurants distribution and the central place theory or the central flow theory using a data analytical approach. The results revealed that the spatial distribution of restaurants’ density in Nanjing follows a traditional central place theory, but the spatial distribution of restaurants’ E-WoM in Nanjing rather follows the central flow theory. In addition, different characteristics could be found in different types of restaurants’ E-WoM distribution. Mainstream cuisine follows central place theory but is inconsistent in urban business districts, which demonstrate some characteristics of central flow theory. The distribution of E-WoM of non-mainstream cuisine is similar to the E-WoM distribution of overall restaurants, showing a central flow pattern. Finally, the implications of the study are drawn.