LAUSR

In recent years, as one of the pillar industries of the national economy, the real estate industry has achieved unprecedented development. Since the 1990s, my country’s real estate industry has experienced three decades of rapid development. The average annual growth of commercial housing area is nearly 20%, and the average annual growth of housing prices in second-tier cities is 11.87%. However, in the rapid development, there are also many problems. For example, there are more and more phenomena such as unreasonable development, serious environmental pollution, and shortage of resources. At the same time, artificial intelligence has made great achievements in the development process in recent years, and it has continued to grow with technological progress and social demand. At present, China is in a transitional period of economic and social development, and the real estate industry is also facing huge challenges. In this context, research and development of traditional Chinese cities is very necessary and important. Therefore, how to effectively control and coordinate the real estate development behavior in the big data environment is one of the major problems that China is facing and needs to be solved urgently. This article uses questionnaire surveys and data analysis methods to understand the elements of real estate development strategies and analyze consumer purchase intentions through questionnaires. Randomly select 120 citizens of P city as the survey objects, and carry out a questionnaire survey. According to the survey results, most of the interviewees believe that the resource integration strategy occupies an important position in the real estate development strategy, and the big data management strategy also exerts its advantages. Most people believe that internal demand motivation is the most important, followed by the characteristics of real estate. It can be seen that real estate development must fully consider the actual needs of consumers and improve the development process to highlight the characteristics of real estate.