Passenger flow prediction and tourism marketing method based on big data

Abstract

The invention belongs to the technical field of Internet application, and particularly relates to a big data-based passenger flow prediction and tourism marketing method, which comprises the steps of1, collecting tourism big data, uploading the tourism big data to a data center, and establishing a prediction sample; 2, enabling the data center to analyze and processthe prediction sample; 3, establishing a passenger flow volume prediction model; 4, calculating a predicted initial value of scenic spot tourist flow in a future time period; 5, correcting the predicted initial value of the touristflow; 6, performing actual verification on the corrected predicted initial value of the tourist flow; and step 7, formulating a corresponding marketing scheme according to the predicted tourist flow.According to the invention, not only can the passenger flow condition be monitored in real time, but also the passenger flow in the future time period can be scientifically predicted, when the passenger flow is insufficient, a corresponding stimulation marketing scheme is formulated, and when the passenger flow reaches early warning, corresponding measures are taken to evacuate people flow, so that the benefit maximization of scenic spots and related tourism industries is realized while the good experience of tourists is ensured.

Description

technical field [0001] The invention belongs to the field of Internet application technology, and in particular relates to a method for passenger flow prediction and tourism marketing based on big data. Background technique [0002] With the rapid development of my country's economy and the continuous improvement of the level of urbanization, people's requirements for material and cultural living standards have also increased. Traveling is no longer a high-end luxury activity exclusive to a few people, but is becoming more and more popular and popular. With the convenience of modern transportation, people can book bus tickets, entrance tickets and hotels on statutory holidays or even weekends, and take a walk-and-go trip. On the one hand, through travel, people can broaden their horizons, increase their knowledge, and experience the cultural characteristics and customs of different countries and regions; Relieve the mood and accumulate more energy for future life and work....

AI Technical Summary

Problems solved by technology

The disadvantage of the artificial statistical method is that the statistician cannot concentrate on the work for a long time, which will lead to incomplete statistical data

The disadvantage of infrared sensor passenger flow statistics is that it is easily disturbed by external factors, resulting in low accuracy of collected data

The drawbacks of Sankun gate passenger flow statistics are that it is not convenient enough and the traffic efficiency is not high

The traditional passenger flow statistics methods described above are too simple, and the equipment itself has defects of varying degrees, so it is impossible to make accurate statistics on the passenger flow of scenic spots and does not have predictive properties

Images