Impact of Mixed Land Use on Housing Values in High-Density Areas: Evidence from Beijing

Abstract

Mixing land uses has turned into a key planning strategy of Chinese land-use planning in recent years. This study analyzes the impact on housing prices when neighborhood land uses are mixed. Using geographic information system data, three quantitative measures of land-use mix were created, and these measures were computed for various neighborhoods in Beijing’s central city. These measures were in a spatial autoregressive confused model of hedonic price analysis. It can be concluded that housing prices increase with proximity to open spaces or daily commercial land uses, but decreases with proximity to medical land uses. Not only proximity, but also amount of open space and public and commercial land use are positively correlated with housing prices. In addition, housing prices tend to fall with an increase percentage of open space in all adjacent street administrative divisions. Finally, housing prices are higher in neighborhoods dominated by residential land use where nonresidential land uses were evenly distributed.