Parcel Maps for 297 Chinese Cities

Type & Source

Vector parcel polygons automatically delineated with OpenStreetMap road networks and more than five million Points of Interest using the AICP algorithm (Long & Liu 2013). Current release v1.0 α, 25 Nov 2013.

Spatial Coverage

All 297 prefecture‑level cities in mainland China.

Temporal Coverage

Single snapshot derived from OSM and POI data collected in 2013.

Format

ESRI Shapefile — Parcels297v1.shp.

Key Attributes

1. URBAN: marks parcels as urban (1) or rural (0).
2. FUNCTION: inferred dominant function — GOV (government), TRA (transport facilities), COM (commercial establishments), EDU (education), FIR (firms), GRE (green space), RES (residential), OTH (others).
3. DENSITY: relative development‑density index (floating‑point value between 0 and 1).
4. MIX: land‑use mix degree (floating‑point value between 0 and 1).

Typical Uses

Land‑use pattern analysis, functional zoning and spatial planning, urban vitality modelling, calibration of transport or agent‑based models.

Citation

Liu, X. J., & Long, Y. (2016). Automated identification and characterization of parcels with OpenStreetMap and points of interest. Environment and Planning B: Planning and Design, 43(2), 341–360. https://doi.org/10.1177/0265813515604767. Earlier dataset record: Long, Y., & Liu, X. J. (2013), arXiv:1311.6165.