The built environment refers to the objective material environment built by humans in cities for living and production activities. Existing studies have proven that the built environment plays a significant role in human health, but little attention is paid to the elderly in this regard. At the same time, existing studies are mainly concentrated in Western developed countries, and there are few empirical studies in developing countries such as China. Based on POI (point of interest) data and 882 questionnaires collected from 20 neighborhoods in Guangzhou, we employ multilevel linear regression modeling, mediating effect modeling, to explore the path and mechanism of the impact of the built environment on elderly individuals’ physical health, especially the mediating effects of physical and social interaction activity. The results show that the number of POIs, the distance to the nearest park and square, and the number of parks and squares are significantly positively correlated with the physical health of the elderly, while the number of bus and subway stations and the distance to the nearest station are significantly negatively correlated. Secondly, physical activity and social networks play a separate role in mediating the effect of the built environment on elderly individuals’ physical health. The results enrich the research on the built environment and elderly individuals’ health in the context of high-density cities in China and provide some reference basis for actively promoting spatial intervention and cultivating a healthy aging society.

Previous investigations of the settlement intentions of China’s floating population have been undermined by an oversimplification of the concepts and measurements related to settlement intentions. More attention should be paid to influencing factors from the theoretical framework of “place utility” in new periods. Based on this framework, we use a multinormal logistic regression model to explore the impact of economic, human capital, and social factors on migration intentions and housing purchase actions of the floating population in the Pearl River Delta. The results revealed that the floating population’s purchasing ability is generally lower than its willingness to settle down, and this population experiences an incomplete citizenization problem. Among the economic and human capital factors, family economic factors have become an important basis for the housing purchase actions of the floating population and may even be more important than their own economic income and education level. After the State Council implemented the “Notice of Further Promoting the Reform of the Hukou System”, the decision of whether to pass restrictions of urban hukou (household registration) acquisition threshold has played an important role in the settlement decisions of the floating population. The government should formulate settlement policies according to the characteristics of the floating population.

Fake news brings us panic and misunderstanding against the truth, especially under some unusual circumstances, such as the outbreak of COVID-19. It’s crucial to detect fake news on social media early to avoid further propagation. Previous methods manually label the stances implied in post-reply pairs to aid fake news detection, which costs much time and effort. To solve this problem, a novel Stance Extraction and Reasoning Network (SERN) is proposed to extract the stances implied in post-reply pairs implicitly and integrate the stance representations for fake news detection without manually labeling stances, which saves much time and effort. Besides, the adequate utilization of multimodal content in the news is beneficial for complementing information for unimodal representation and jointly improving decision confidence. Thus, a sentence-guided visual attention mechanism is proposed in the text-image fusion module that leverages text-image content for better fake news detection. Encouraging empirical results on Fakeddit and PHEME demonstrate that our method outperforms the state-of-the-art methods.

Hive Box is a company that operates a network of express unattended collection and delivery points (UCDPs) in China. Hive Box distribution enhances community-based end-to-end delivery services and low-carbon city logistics. It is argued that UCDPs compared with attended collection and delivery points (ACDPs) should be considered for further investigation. Therefore, the present study employed kernel density estimation, spatial autocorrelation analysis, and geographically weighted regression to investigate the spatial heterogeneity of Hive Box distribution across Guangzhou. Hive Box location data were collected from smartphone apps. The results were as follows: (1) the kernel density declined from the city center toward the outskirts, and showed point-like spatial agglomerations in the city center; (2) the Moran’s I index analysis showed that Hive Box distribution exhibited spatial agglomeration from a global perspective and geographic variations in locality in space; the heterogeneity of urban–rural differences implies the uneven development of Hive Box distribution in Guangzhou; and (3) the factors influencing Hive Box distribution were multilevel, and their effects were complex and varied across regions. These results shed light on the agglomeration and heterogeneity characteristics of the spatial distribution and influencing factors of Hive Boxes. For an enhanced community-based end-to-end delivery service, this study suggested the identification of the geographic variations of Hive Box distribution and the combined effects of multiple factors in intensifying the infrastructure of unattended locker points.

Improvements in migrant families’ consumption are crucial to economic development after the economic crisis. With China’s participation in economic globalization, industrial transformation and college enrolment expansion, a new type of migrant worker has emerged, skilled migrants, who have attained a college diploma or above and whose consumption behaviors differ from traditional labor migrants because education helps to improve the income and consumption structure. This study uses comparative analysis and Tobit model to examine differences in income and consumption patterns, and determinants of consumption between skilled migrant and labor migrant households. Education helps to increase income and alter consumption behaviors. The income and consumption levels of skilled migrant households are significantly higher than the levels of labor migrant households, and the propensity to consume among skilled migrant households is higher than among labor migrant households. Moreover, the consumption structure of skilled migrant households is more advanced than that of labor migrant households. Education indirectly influences consumption by influencing economic, familial, individual, settlement intention, and social security factors. These factors have different effects on skilled migrant and labor migrant household consumption. Authorities should improve the education level and social welfare system to cover migrant households, especially for low-income labor migrants, to improve their consumption.

The Chinese government has provided various forms of assistance to the Tibet Autonomous Region and has substantially improved their facilities, which has had a positive influence on the development of tourism in Tibet. The present study investigated how assistance to Tibet (AT) coordinates with tourism development (TD) by exploring the patterns and influencing factors of AT and TD using statistical data from 74 prefectural units from 1991 to 2015. The findings led to several conclusions: (1) AT displayed strong and constant coupling interactions with TD, and the coupling coordination degree increased from moderately unbalanced development (MUD) to barely balanced development (BBD). However, the coupling coordination degree remains low (MUD) in most prefectural units; (2) in 2015, the degree of coupling coordination displayed a core-periphery spatial pattern (i.e., low in center and high in the periphery), which highly coincides with the patterns of AT (x) and TD (y), and should thus be improved further; and (3) both AT factors and TD factors have significant effects on the spatial differentiation of coupling coordination degree but not on the coupling degree. This study expands research on coupling coordination and AT and provides scientific guidance for further coordinating AT and TD.