[An empirical analysis of the effects of nudge-based measures on job seekers' participatory behavior in the Care Worker Initial Training].

Objectives　The study aim was to explore effective measures to promote job seekers' participation in the Care Worker Initial Training course provided by Hello Work.Methods　In this study, we adopted the nudge approach as a method to promote behavioral changes based on a knowledge of behavioral economics. Additionally, we tested the effectiveness of nudge-based measures compared to that of conventional measures. The survey was conducted through two rounds of Web distribution. In the first Web distribution, we consistently implemented the following, in order: 1) recruited individuals who agreed to participate in the study, 2) distributed the first Web questionnaire regarding basic attributes and eligibility criteria in terms of the target individuals, and 3) distributed course guidance. Individuals who responded to the first Web questionnaire (n=50,000) were randomly assigned to eight groups. The intervention groups were presented with course guidance based on loss-aversion nudge, empathy nudge, long-term gain nudge, and their combinations. The control group was presented with traditional course guidance used by the Ministry of Health, Labour and Welfare over the Web. Two weeks after the intervention, we identified 2,404 individuals who met the eligibility criteria and assessed their behavioral changes (pre-contemplation, contemplation/preparation, information-gathering, action); we received responses from 1,995 individuals. Binomial logistic regression analyses were performed using nudge-based interventions and behavioral change stages as dependent and independent variables, respectively. Sex, age, education level, marital status, interest in caregiving before the intervention, and behavioral change stages before the intervention were included as moderator variables.Results　A total of 1,995 individuals were included in the analysis. Among the 1,756 participants in the intervention groups, 321 (18.3%) took on contemplation/preparation behavior, 102 (5.8%) took on information-gathering behavior, and 50 (2.8%) took action by participating in the course. Among the 239 individuals in the control group, 38 (15.9%) took on contemplation/preparation behavior, 31 (13.0%) took on information-gathering behavior, and 2 (0.8%) took action by participating in the course. Binomial logistic regression analyses showed that while traditional measures were effective in promoting information-gathering behavior toward participation, nudge-based measures combining loss-aversion nudge, long-term gain nudge, and empathy nudge were effective in motivating individuals to participate in the course (odds ratio: 5.39, 95%CI: 1.18-24.74, P=0.03).Conclusion　The introduction of measures combining multiple types of nudges is necessary to promote participation in the Care Worker Initial Training course, rather than traditional measures or a nudge in isolation.

Attention and Sentiment of the Chinese Public toward a 3D Greening System Based on Sina Weibo.

The rapid development of global urbanization over the years has led to a significant increase in the urban population, resulting in an imbalance in the urban green space structure. Transforming the urban 2D space green quantity into a 3D space green quantity to create 3D greenery systems (TGS) is a space resource that cannot be ignored in the process of urban green space expansion. This research gathered and analyzed Sina Weibo post information and user information related to TGS to investigate the changing trend of attention status and emotional orientation of the Chinese public on TGS. We employed web crawler technology and text mining to search and analyze the data on the Sina Weibo platform. This research aids policymakers and stakeholders in comprehending the general public's perspective on TGS and showing the transmission channel of public sentiment and the origins of negative sentiment. Results indicate that the public's attention to TGS has greatly increased since the shift in the government's idea of governance, although it still needs improvement. Despite TGS's good thermal insulation and air purification effects, 27.80% of the Chinese public has a negative attitude toward it. The public's negative sentiment of TGS housing is not solely due to pricing. The public is mainly concerned about the damage to the structure of buildings caused by TGS, the subsequent maintenance of plants, the increase in indoor mosquitoes, and lighting and humidity problems. This research helps decision makers understand the public opinion communication process via social media and provides corresponding solutions, which is of great significance for the future development of TGS.

Research on Smart Tourism Oriented Sensor Network Construction and Information Service Mode.

Smart tourism is the latest achievement of tourism development at home and abroad. It is also an essential part of the smart city. Promoting the application of computer and sensor technology in smart tourism is conducive to improving the efficiency of public tourism services and guiding the innovation of the tourism public service mode. In this paper, we have proposed a new method of using data collected by sensor networks. We have developed and deployed sensors to collect data, which are transmitted to the modular cloud platform, and combined with cluster technology and an Uncertain Support Vector Classifier (A-USVC) location prediction method to assist in emergency events. Considering the attraction of tourists, the system also incorporated human trajectory analysis and intensity of interaction as consideration factors to validate the spatial dynamics of different interests and enhance the tourists' experience. The system explored the innovative road of computer technology to boost the development of smart tourism, which helps to promote the high-quality development of tourism.