Authors: Awanti Acharya*, University of Connecticut
Topics: Urban Geography, Urban and Regional Planning, Economic Geography
Keywords: Curb Appeal, Google Street View, Spatial Hedonic Model
Session Type: Poster
Scheduler ID: WED-047-5:20 p.m.
Start / End Time: 5:20 PM / 7:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded
‘Curb Appeal’ or the external aesthetics of a house plays an important role in influencing the choice of home-buyers, in addition to traditional factors like the structural, locational, and environmental characteristics. However, most of the studies have not considered the curb appeal of a house while determining house price. Thus, the objective of this study is to (i) quantify curb appeal (ii) examine the impact of curb appeal on single-family house price, and (iii) determine the relationship between curb appeal and other structural characteristics of the house.The study is based on single-family homes sold in selected neighborhoods viz., Dorchester, Hyde Park, Jamaica Plain, Mattapan, Roslindale, Roxbury, West Roxbury in Boston, Massachusetts during 2014-2017. To quantify ‘curb appeal’, images of the single-family homes sold in those neighborhoods were collected from Google Street View. A rubric was developed to classify the external appearance of the house based on the condition of the doors and windows, paint and roof of the house, state of the lawns, garden, and landscaping and overall aesthetics of the house. On the basis of the rubric, each house is given an overall ‘curb appeal’ score as 1=below average, 2=average, 3=good, 4= excellent. Data on the house price and structural attributes are collected using Zillow's application program interface (API). A spatial hedonic regression model is developed to understand the impact of ‘curb appeal’ on the house price. Results from the regression showed that curb appeal has a positive impact on the house price.