High-Resolution Mapping of Vacant Housing in China Using Night Lights and POI Data
by su yiheng·Updated 1mo ago
163.5 MB1files
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Description
A dataset containing source code and sample data for estimating building-scale housing vacancy rates across mainland China. The method fuses NPP-VIIRS night-time light intensity, OpenStreetMap POI density, and road network density into a composite human activity index to identify potentially vacant residential buildings without relying on household surveys. The dataset includes preprocessing scripts, a complete estimation workflow, and a case study dataset to demonstrate the process.
Use Cases
Estimate housing vacancy rates at the building scale based on fused multi-source spatial data.
Calibrate local activity thresholds for vacancy detection at the county level.
Batch process housing vacancy estimations across provinces using the provided workflow.
Identify potential ghost towns or underutilized urban areas based on low human activity indices.
Strengths
Includes a complete, documented workflow for housing vacancy rate estimation.
The method leverages multiple open data sources (NPP-VIIRS, OpenStreetMap) for robust inference.
Provides a case study dataset to demonstrate the full analysis pipeline.
Limitations
Row count and specific column definitions are unknown, limiting suitability assessment.
The data's freshness and temporal coverage are not specified in the provided metadata.
Actual data quality and coverage require manual inspection after downloading the 163.5 MB ZIP file.
Provenance
Source
figshare
Collection Method
Multi-source spatial data fusion of satellite night lights, POI, and road network data.
Freshness
Last updated 2026-05-12 09:16:34.
Geography
Mainland China
License is CC-BY-4.0. The primary file format is a 163.5 MB ZIP archive.