Airports are important air transportation facilities, providing cargo transportation, aircraft takeoff and landing, and passenger services. Trade liberalization and globalization along with shifting economies and trading focuses have led to the rapid growth of airline and cargo transportation in Asia-Pacific regions. Therefore, Asian countries are constantly expanding and improving their airport facilities. Thus, improving and measuring airline service quality has attracted significant research attention in recent years. The Chinese Government has also actively promoted low-cost tourism, although competition in low-cost carrier markets was bound to be fierce. This not only promoted tourism industries but also attracted many foreign visitors to taking low-cost carriers to China for sightseeing. With international oil prices and regional economy issues, full-service carriers face considerable operational pressure on cost and competition. This study used the fuzzy delphi and decision making trial and evaluation laboratory methods to explore and analyze key factors for passengers choosing low-cost airlines. We considered passengers using U Airlines to travel from Shanghai to Taiwan (Taoyuan, Kaohsiung Far) and investigated service quality, low-price strategies, switching costs, and boarding willingness factors. We found that boarding willingness and service quality were strongly relevant to passenger satisfaction. Service quality should be prioritized, followed by switching cost, to enhance passenger boarding willingness. Low-cost regional airlines need to prioritize improving service quality empathy and service quality responsiveness with limited resources. Performance indicators such as willingness, service quality assurance, and service quality reliability showed significant benefits for overall service performance and passenger boarding willingness.

With the rapid development of the tourism industry, how to monitor scenic spots and tourists in real time has become an issue. This paper mainly describes the development of a monitoring and management system for scenic spots of intangible cultural heritage based on Mobile GIS and multisensor technology. The monitoring system adopts the idea of structured programming, which reduces the coupling degree of various components and promotes the expansion of system functions. The shortest path module uses the scenic spot management subsystem on the PC. The scenic spot manager enters the distance between adjacent scenic spots that can be directly reached into the system database and then uses the shortest path algorithm, Dijkstra algorithm, to calculate. Asynchronous Socket programming mechanisms are used to implement communication capabilities, the XML markup language is selected as the system’s data exchange protocol, and the DHT11 digital temperature and humidity sensor is used to obtain humidity information around ancient buildings. A Mobile GIS reader of an ancient building in a scenic spot sends a request to connect to a server. The listener is the communication interface between the server software and the reader. It is responsible for parsing the transmitted data and storing it in the database. The CC2430 chip is used to wear on tourists. When tourist nodes and guide nodes enter the scenic spot, they join the network to query the density of the entire scenic spot and upload real-time information. In terminal query, the average response time of real-time location query is 2S. The average initial response time for historical location queries is about 3S. The results show that the visualization services provided by software development can intuitively and accurately display the flow and density of scenic spots, providing a scientific reference for carrying capacity and flow management of scenic spots.

With the development of technology, the data stored by humans is growing geometrically. Especially in the logistics industry, the rise of online e-commerce has created a huge data flow in the informatized logistics network. How to collect, analyze, and organize this information in time and analyze the meaning of this information from it is a difficult problem. The paper aims to learn the management of logistics systems from the perspective of statistics. This article uses random analysis of 1,000 customers’ logistics records from the logistics enterprise information system, uses mathematical analysis and matrix theory to analyze the correlation among them, and analyzes customer types and shopping. The information on habits, daily consumption patterns, and brand preferences is classified and summarized using mathematical statistics. The experimental results show that the results of the study can well reflect customers’ daily habits and consumption habits. The experimental data show that mining effective and accurate information from massive information can help companies to quickly make decisions, formulate scientific logistics management programs, improve operating efficiency, reduce operating costs, and obtain good benefits.

At present, China’s tourism market is huge, and traditional hotel accommodation is not popular with young people, and homestays are just in line with young people’s yearning. And most of the current push methods are determined by consumption on large platforms such as Ctrip, which not conforms to the recommendation method of homestays, so it aims at personalized marketing research for homestays. In this paper, the multi-information fusion sensor network is used to push B&B hotels in tourist areas to achieve B&B hotel marketing and maximize profits. Using the multi-information fusion sensor network to carry out personalized platform design, platform users can easily and quickly search for the homestay they want and can realize the automatic push function to achieve the rationality of marketing. The experimental results in this paper found that the average relative speedup increased from 1.9 to 17.7 for the execution of the scoring-oriented algorithm in the algorithm compared to a single computer. Performing the sort-oriented algorithm in the algorithm, the average relative speedup increased from 1.9 to 18.8. It can illustrate the effectiveness of the design system in this paper, and the software can carry out personalized marketing for homestays.