Abstract
This thesis explores the hypothesis that the prices of single family houses are negatively influenced by proximity to urban arterial roadways. A hedonic price model is developed that tests the effects of traffic volumes and proximity on sale price. Using a data set of sale records from Portland Oregon in 1994, a traditional hedonic model is developed based on housing and neighborhood characteristics. Using a geographic information system, each sale record is associated with the nearest arterial roadway, and the data on distance to the roadway and level of traffic is returned to the sale record. These data are then applied in the hedonic equation. The results indicate that distance to an arterial roadway has a much larger effect than traffic volume alone. It is also found that the effects of high traffic arterials diminish rapidly with distance, becoming difficult to distinguish beyond about 2/3 of a city block. The estimated effect on sale price of close proximity to a busy roadway is large, approximately -10% of sale price.
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