A big data–based geographically weighted regression model for public housing prices: A case study in Singapore
In this research, three hedonic pricing models, including an ordinary least squares (OLS) model, a Euclidean distance–based (ED-based) geographically weighted regression (GWR) model, and a travel time–based GWR model supported by a big data set of millions of smartcard transactions, have been develo...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2019
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/5460 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6463&context=sis_research |
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| Institution: | Singapore Management University |
| Language: | English |