Multi-agent simulation of the dynamic evolutionary process in Chinese urban housing market based on the GIS: The case of Beijing

Hong Zhang, Yang Li, Heng Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

In order to analyze the dynamic evolutionary process of Chinese emerging housing market, the paper defines the behavioral functions of household agents in terms of demand generation, information search and price negotiation, and incorporates multi-agent technique and geographic information system to conduct a series of simulation studies on Beijing housing market. By setting different market scenarios, the impacts of new housing supply and information level on Beijing housing market are addressed. The findings show that, Beijing housing market is characterized by the prominent urban expansion with the formation of consolidated residential zones outside the 5th ring road; the growth in new housing supply can reduce the buyer search duration significantly, and lead the buyer search flow to the new housing market; higher information level can increase the sales of resale housing market, but inhibit the sales and time on market for new-built houses to some extent.
Original languageEnglish
Pages (from-to)190-198
Number of pages9
JournalAutomation in Construction
Volume35
DOIs
Publication statusPublished - 17 Jun 2013

Keywords

  • China
  • Evolutionary process
  • Geographic information system
  • Housing market
  • Multi-agent simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

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