Residential property values in a multinodal urban area: New evidence on the implicit price of location

The monocentric model predicts a housing price gradient from the central business district, and it follows that the extension of this model to account for modern multinodal metropolitan areas would predict housing price gradients from multiple employment centers. Empirical analysis using hedonic regression techniques for the estimation of price gradients in a multinodal context is limited. This study extends prior work by exploring nonlinear housing price gradients in a multinodal urban area with an unusually robust database of housing sales transactions, and using a geographic information system for spatial analysis. The results confirm the importance of non-CBD employment centers, a strong if asymmetric CBD price gradient, and significant nonlinear gradients from such other urban amenities as major retail sites and highways.

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