Study the Residential Land Demand by Ridge Regression and Multiple Linear Regression

Abstract:

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Land is an important natural resource for human’s living and developing. Residential land demand forecast is the core content of urban land use planning. To improve the forecast accuracy, we fully considered the influencing factors and had chosen urban population, GDP, fixed asset investment, and real estate sales as the main influencing indicators. Here we use the Ridge Regression Method to determine the linear relationship between the variables, and supplemented by multiple linear regression. We chose Tianjin as the target city to calculate the residential land demand. The results show that the method is simple, easy, and suitable for urban residential land demand prediction.

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Edited by:

Dehuai Zeng

Pages:

1250-1255

DOI:

10.4028/www.scientific.net/KEM.467-469.1250

Citation:

H. Sun et al., "Study the Residential Land Demand by Ridge Regression and Multiple Linear Regression", Key Engineering Materials, Vols. 467-469, pp. 1250-1255, 2011

Online since:

February 2011

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Price:

$35.00

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