Background: The distribution of medical resources in China is seriously imbalanced due to imbalanced economic development in the country; unbalanced distribution of medical resources makes patients try to seek better health services. Against this backdrop, this study aims to analyze the spatial network characteristics and spatial effects of China’s health economy, and then find evidence that affects patient mobility. Methods: Data for this study were drawn from the China Health Statistical Yearbooks and China Statistical Books. The gravitational value of China’s health spatial network was calculated to establish a network of gravitational relationships. The social network analysis method was used for centrality analysis and spillover effect analysis. Results: A gravity correlation matrix was constructed among provinces by calculating the gravitational value, indicating the spatial relationships of different provinces in the health economic network. Economically developed provinces, such as Shanghai and Jiangsu, are at the center of the health economic network (centrality degree = 93.333). These provinces also play a strong intermediary role in the network and have connections with other provinces. In the CONCOR analysis, 31 provinces are divided into four blocks. The spillover effect of the blocks indicates provinces with medical resource centers have beneficial effects, while provinces with insufficient resources have obvious spillover effects. Conclusion: There is a significant gap in the geographical distribution of medical resources, and the health economic spatial network structure needs to be improved. Most medical resources are concentrated in economically developed provinces, and these provinces’ positions in the health economic spatial network are becoming more centralized. By contrast, economically underdeveloped regions are at the edge of the network, causing patients to move to provinces with medical resource centers. There are health risks of the increasing pressure to seek medical treatment in developed provinces with abundant medical resources.

An aging population and social informatization are currently the two main social phenomena affecting China. Under their influences, the real-life experiences of older adults are becoming more and more closely connected to the online world, and the influences of the Internet on healthy aging cannot be ignored. This work aimed to study whether Internet use had an effect on the physical and mental health of older adults, whether the effect was positive or negative, and whether its influence on physical and mental health was heterogeneous. In this study, data from the 2017 Chinese General Social Survey (CGSS) was used to analyze the effects of social media use on the physical and mental health of older adults. The results indicated that there was a significant positive relationship between social media use and the health of older adults. The correlation between social media use and mental health of older adults was more significant than physical health. These results could help us further study the effects of Internet use on the health of older adults.

Since the early 1960s, long-term care (LTC) has attracted a broad range of attention from public health practitioners and researchers worldwide and produced a large volume of literature. We conducted a comprehensive scientometric review based on 14,019 LTC articles retrieved from the Web of Science Core Collection database from 1963 to 2018, to explore the status and trends of global LTC research. Using CiteSpace software, we conducted collaboration analysis, document co-citation analysis, and keyword co-occurrence analysis. The results showed a rapid increase in annual LTC publications, while the annual citation counts exhibited an inverted U-shaped relationship with years. The most productive LTC research institutions and authors are located primarily in North American and European countries. A simultaneous analysis of both references and keywords revealed that common LTC hot topics include dementia care, quality of care, prevalence and risk factors, mortality, and randomized controlled trial. In addition, LTC research trends have shifted from the demand side to the supply side, and from basic studies to practical applications. The new research frontiers are frailty in elderly people and dementia care. This study provides an in-depth understanding of the current state, popular themes, trends, and future directions of LTC research worldwide.

A connected vehicle–based winter road surface condition (RSC) monitoring solution that combines vehicle-based image data with data from a road weather information system is described. The proposed solution was intended as an improvement to a smartphone-based system evaluated in previous research. Three machine learning classification methods—namely, artificial neural networks, random trees, and random forests—were evaluated for potential application in the connected vehicle–based system for RSC monitoring. Field data collected during the 2014–2015 winter season were used for model calibration and validation. Results showed that all models improved the accuracy of the smartphone-based RSC classification substantially, with random forest having the highest classification performance. The models, however, were found to lack transferability; therefore, individual models will require local calibration before being used at any location.

This paper describes the results of a field study designed to quantify the effects of various factors on the snow-melting performance of salt. Many tests were conducted in a realistic environment over two winter seasons, covering more than 70 snow events, with temperatures ranging from −14°C to 3°C and snowfalls ranging from ∼0.2 to 21.0 cm. For each snow event, salts were applied to a set of test sections with specific application rates, and time series performance; condition data such as snow coverage or bare pavement status, friction, pavement and air temperature, sky view, and humidity were collected. An exploratory data analysis was performed to identify the key factors influencing the snow-melting performance of salt, such as application rate, temperature, and snow amount. A multiple linear regression model was calibrated for the relationship between the key snow-melting performance indicators: bare pavement regain time and various influencing factors. The calibrated model was then applied to determine the minimum amount of salt required for achieving a given level of service under specific weather events. Although the research was motivated by the need to develop optimal salt application rates for parking lots and sidewalks, the results could be equally applicable for other transportation facilities after factors specific to the facility, such as traffic and dilution, are accounted for.

The increasing number of migrants returning from developed countries has become a global trend. This study examined the impact of executives’ overseas experience on the corporate pay gap from the perspective of cultural differences. Using publicly available data collected manually from listed Chinese firms concerning executives’ overseas experience from 2011 to 2018, we found that executives’ overseas experience was positively associated with both internal and external pay gaps. Additionally, the higher the number of executives with overseas experience, the higher the pay gap. These findings highlight the effects of cultural differences on corporate governance.