## 4 Discussion
[PERSON] examines the possibilities and benefits of RTCI's application to subways, and concludes by suggesting that the crowding information provided by RTCI to commuters is based on predictions; these can be incorrect, due to the uncertainty and variability of supply and demand [60]. This study goes on to analyze again the impact of RTCI intervention in PT from the perspective of RTCI's unavoidable failures, adding a certain perspective and direction of thinking about RTCI research. Secondly, we have included in our study an analysis of the requirements of public transportation for different population types. For HSR and other public transportation operators, this study provides insights on how to improve services and how to segment the population to provide targeted services to improve overall passenger satisfaction. [PERSON] researched the possibility of applying RTCI to buses, looking at the type of information people need more at different times of the day, and summarizing it with respect to what people in different occupations are concerned about [61]. In this study, it is proposed that passengers with high social anxiety require higher reliability from RTCI technology, which significantly improves satisfaction in successful RTCI conditions, but significantly decreases it in failed conditions. This finding is consistent with the results of other studies of socially anxious populations; [PERSON] found that anxious attachment increased satisfaction with a service robot [62]. Finally, although this study is based on high-speed rail for the research analysis of the application of RTCI, the research summary of RTCI in this study is still applicable in the practical application to other public transportation. Many existing metros and buses have been installed with RTCI prompts, such as [PERSON]'s study on the impact of RTCI for the Stockholm metro pilot [6]. The results of this study can still help other public transportation to update RTCI services, to improve passenger satisfaction. In this study, we used the provision of RTCI as the independent variable, the satisfaction of passengers who had unfixed-seat tickets with the quality of the high-speed rail service as the dependent variable, and the level of passengers' social anxiety as the moderating variable, to construct a model to explore the relationship between RTCI and satisfaction with the quality of high-speed rail service under the moderating effect of social anxiety. The results of the study are summarized as follows: firstly, the expected development and application results of RTCI technology in high-speed rail are affirmed, as the conclusions reached by other researchers are consistent with the fact that RTCI implementation in high-speed rail can help passengers with unfixed-seat tickets to avoid crowded compartments and find available seats, and significantly improve passenger satisfaction; this is a positive result for both operators and passengers, but, in the face of the failure of the RTCI, passengers with different social anxieties will react very differently. The innovation of this study is its focus on situations where RTCI experiences service failures and the introduction of different groups of passengers to explore user-satisfaction outcomes following RTCI failures. In addition to this, there are some limitations in this study, such as the fact that the sample size of the experiment was relatively small. However, this study still found some useful patterns, and it is hoped that it can be improved on in the future. [PERSON] and [PERSON] designed this study; [PERSON] collected and analyzed the data; [PERSON], [PERSON] and [PERSON] wrote the first draft of the manuscript. All authors have read and agreed to the published version of the manuscript. This study was supported by the Guangdong Province Philosophy and Social Science 2023 Co-construction Project (GD23 YS016) and the Ministry of Education's Humanities and Social Sciences Research Program (23 YJC760131).