Group behaviour decision of real estate investment in multi-information fusion for intelligent environment interaction

Authors

  • Xiaomeng Ma College of Economics, Shenzhen University, Shenzhen, 518060, Guangdong, China
  • Yi Song Shenzhen Natural Resources and Real Estate Appraisal Development Research Center, 518000, Guangdong, China

Abstract

Urban population migration is often accompanied by people’s investment in real estate. The intelligent environment of human-computer interaction contains a massive amount of information, and the intelligent push of the platform always has an impact on investors’ understanding of the market. At the same time, in the intelligent environment, the connection of the network changes the investment trend changes from individual to group investment behavior. Unlike previous studies, this work considers the characteristics of homebuyers’ behavioral decision-making in an intelligent environment, focuses on the interaction mechanism between homebuyers’ cognitive bias and behavioral decision-making, and uses the catastrophe theory to construct a group investment behavioral decision-making model under population migration. The research results show that the just-in-need investors are the driving force of the real estate market demand. Under the optimistic market expectation, whenthe initial proportion of people without houses is 50%, the increase of investment intention is significantly weaker than the interactive increase when 80% of people are without houses. However, although the rapid decline in house prices will encourage the just-in-need investors to buy a first home, it will not increase the probability of speculators buying a home. In addition, price changes have a lag for population migration and changes in the proportion of homebuyers.

Keywords: Behavior decision; Intelligent environment; Catastrophe model; Cognitive bias

Cite As

X. Ma, Y. Song, "Group behaviour decision of real estate investment in multi-information fusion for intelligent
environment interaction", Engineering Intelligent Systems, vol. 33 no. 3, pp. 295-310, 2025.





Downloads

Published

2025-05-01

Issue

Vol. 33 No. 3 (2025): International Journal of Engineering Intelligent Systems

Section

Article

License

The submission of a paper implies that, if accepted for publication, it will not be published elsewhere in the same form, in any language, without the prior consent of the publisher. Before publication, authors are requested to assign copyright to CRL Publishing Ltd. This allows CRL to sanction photocopying, and to authorize the reprinting of issues or volumes according to demand. Authors' traditional rights will not be jeopardized by assigning Copyright in this way, as they retain the right to reuse the material following publication, and to veto third-party publication.