Dynamic Evaluation of Discrete Zoning over Time Using Spatial Big Data

Zoning is widely used in land-use control and the criteria for a ‘good’ zoning scheme varies dramatically for different purposes of zoning. Studies during the past decades have presented many theoretical frameworks for the design and evaluation of zoning schemes designed for dynamic urban processes especially the housing market, but challenges remain. Therefore, this paper attempts to explore the robust zoning over time help derive boundaries that better fit with changing housing market. It starts with the preliminary introduction of the zoning and a review of spatial big data and existing studies on evaluating the suitability of zoning schemes over time. Three indicators are adopted to evaluate the current zoning framework. A new index called RHD that can evaluate zoning changing dynamics over time is proposed, followed by the discussion of the empirical findings of the impacts of the zoning on land supply and house prices in the territory. The proposed framework for evaluating zoning can benefit future studies of zoning regarding dynamic housing market in the world.