Chengdu’s Real Estate Market (2019-2024): An Integrated Framework for Data-Driven Insights and Policy Analysis

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Authors: Xiao HU, Yan Wang, Xinyi Jiang
Cited by: 0
References: 8

Abstract

This study integrates multiple sources of data (transaction data, policy text, public opinion data) with visualization techniques (such as heat maps, time-series trend charts, 3D building brochures) to construct an analysis framework for the Chengdu real estate market. By using the Adaptive Neuro-Fuzzy Inference System (ANFIS) prediction model, spatial GIS (Geographic Information System analysis) analysis, and interactive dashboards, this study reveals market differentiation, policy impacts, and changes in demand structure, thereby providing decision support for the government, enterprises, and homebuyers.

Fields of Study & Subjects

Housing Market and Economics Urban Planning and Valuation Real estate and construction management

Publication details

Journal / source
Journal of Cultural and Religious Studies
Volume
14
Issue
1
Pages
26–26
Publication date
18 January 2026
Language
EN