In order to analyze the consumption decision-making behavior of Comic Con tourism, based on SPSS, a questionnaire of consumer decision-making behavior of Comic Con tourism was designed to evaluate the demographic characteristics, decision-making behavior, actual consumption behavior and consumption effect of consumers. The results show that the comic exhibition tourists are mainly young people aged 18-24, who prefer social platforms to obtain information, pay attention to exhibition services and city image, and put forward suggestions on strengthening social media marketing, improving exhibition service quality, improving city image and tourism environment, strengthening the content and activity arrangement of comic exhibition, and promoting the sustainable development of comic exhibition tourism, which is of great significance for promoting comic exhibition tourism.

Keywords: Chongqing Comic Con tourism; consumer behavior; SPSS.

To investigate the driving effect of the digital economy on tourism development in Southwest China, this study employs linear regression analysis. Taking Southwest China as the research subject, we constructed a multiple linear regression model incorporating digital economy indicators (including software business revenue, mobile phone penetration rate, and e-commerce development) and tourism development indicators (domestic tourism revenue and domestic tourist arrivals), followed by empirical testing. The results demonstrate that the following indicators significantly and positively impact tourism development in Southwest China: proportion of IT professionals in urban areas, mobile phone penetration rate, broadband internet user ratio, enterprise computer adoption rate, e-commerce......

Keywords: Tourism; Digital Economy; Southwest China; Regression Analysis..

Based on the existing problems in the current research on BaShu cultural tourism decision-making, we propose a research approach for the application of data mining algorithms in BaShu cultural tourism decision-making. Firstly, a deep learning based model of BaShu cultural tourism and related tourist attraction attributes is constructed. Based on this, a tourist group behavior model based on spatial temporal mining is constructed, and a BaShu cultural tourism spatial layout and tourist accurate matching model are proposed. Finally, a BaShu cultural tourism route decision-making model is designed. The method we constructed can provide a basis for recommending BaShu cultural tourism attractions, planning BaShu cultural tourism routes, and making BaShu cultural tourism decisions.

Keywords: Data mining, BaShu culture, tourism decision-making, application research.

This paper presents an algorithm for determining the desired transition point from the autonomous flight phase to the homing phase while satisfying predefined conditions. The requirements at the end of the autonomous flight phase include ensuring the appropriate homing distance and aligning the missile velocity vector with the missile-target line of sight. The analysis is conducted for a target moving with constant velocity and different initial heading angles, where the missile trajectory follows a Rayleigh function. The results indicate that the proposed algorithm meets the specified requirements.

Keywords: Autonomous Flight Phase, Transition Point, Missiles guidance, Rayleigh function.