Applications and Machine Learning and Artificial Intelligence (AI) Technologies
IREUS is developing an automated indicative real estate pricing model (AI-REP) using spatially adjusted real estate pricing model and AI algorithm, and the proposed AI-REP model could help enhance transparency and efficiency in housing markets. Other projects include studies on the effectiveness of agents’ experiences and abilities versus reputation in closing transactions; and social-ethnic network and the selection of agents.
Current Research Projects
- Academic Research Fund (Tier1) Project: Artificial Intelligence (AI) Based Automated Valuation Models (AVMs)
- Spatially-Adjusted Real Estate Price Indices
- Smart Logistic
Selected Publications
Deng Y, McMillen DP, and Sing TF. 2012. Private Residential Price Indices in Singapore: A Matching Approach. Regional Science and Urban Economics 42 (3): 485-494.
Deng Y, McMillen DP, and Sing TF. 2014. Matching Indices for Thinly-Traded Commercial Real Estate in Singapore. Regional Science and Urban Economics 47: 86-98.
Diao M, Leonard D, and Sing TF. 2017. Spatial-Difference-in-Differences Models for Impact of New Mass Rapid Transit Line on Private Housing Values. Regional Science and Urban Economics 67: 64-77.
Diao M, McMillen DP, and Sing TF. 2019. A Spatial Quantile Regression Analysis of Housing Price Distribution near Urban Rail Transit Stations.
Working Papers
Diao M, McMillen DP, and Sing TF. 2019. Decomposition of Differences in Housing Price Distribution near Urban Rail Transition Stations Using Quantile Regressions.
Diao M, McMillen DP, and Sing TF. 2019. A Spatial Quantile Regression Analysis of Housing Price Distribution near Urban Rail Transit Stations.
Fan Y, McMillen DP, and Sing TF. 2019. Regional Housing Price Dynamics: A Locally Weighted Approach.
Research Team
FAN, Ying
YANG, Jesse
SING, Tien Foo
YU, Shi Ming