Agricultural Wholesale Market Location Selection GIS Data

A unified GIS database integrates national territorial planning, road traffic planning, industrial development planning, and urban big data for location analysis. The dataset supports a five-phase location selection methodology, including region screening and weight optimization via a Genetic Algorithm. Guizhe Xin authored this research, last updated in April 2026.

Use Cases

• Evaluate candidate locations using the five criteria of location, planning, transportation, land use, and urban compatibility.
• Optimize comprehensive weights for market types by integrating Analytic Hierarchy Process and entropy weight method results.
• Apply the Genetic Algorithm to re-optimize subjective and objective weight integration for location selection validation.
• Screen regions and delineate scopes for large-scale agricultural wholesale markets using consolidated planning data.

Strengths

• Integrates multiple national planning and urban big data resources into a unified database.
• Proposes a validated five-phase methodology tested on seven candidate location schemes.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Dataset scale is limited at 18.6 MB, suggesting a constrained spatial or feature scope.
• Specific row counts, column names, and sample data are unavailable for assessment.
• Geographic coverage of the case study is not specified, limiting generalizability.

Provenance

Source

Guizhe Xin via figshare.

Collection Method

Consolidated from national territorial planning, road traffic planning, industrial development planning, and urban big data using GIS technology.

Freshness

Last updated in April 2026.