Agricultural Wholesale Market Location Selection Criteria and Weights

A location selection framework integrates five key criteria—location, planning, transportation, land use, and urban compatibility—for Agricultural Product Wholesale Markets. The dataset contains weights derived from Analytic Hierarchy Process and entropy methods, optimized via a Genetic Algorithm. Researcher Guizhe Xin published the supporting data in April 2026.

Use Cases

• Apply the location, planning, transportation, land use, and urban compatibility criteria scores to rank candidate sites for new wholesale markets.
• Replicate the Genetic Algorithm weight optimization process using the provided subjective (AHP) and objective (entropy) weight data.
• Analyze the correlation and contribution levels between different evaluation criteria for various market functional types.
• Use the integrated database structure, which consolidates territorial planning and road traffic data, as a template for similar urban logistics studies.

Strengths

• Framework is validated via a case study ranking seven candidate location schemes.
• Methodology innovatively combines GIS data, national planning resources, and multi-criteria decision analysis.
• Weights are derived from both expert judgment (AHP) and data-driven (entropy) methods.

Limitations

• The dataset is very small at 5.5 KB, indicating limited raw data or only summary results.
• Specific row counts, column names, and sample data are unavailable, restricting direct analysis.
• Geographic coverage and temporal context for the applied data are not specified.

Provenance

Source

Guizhe Xin via figshare.

Collection Method

Created as part of a research study proposing an evaluation framework; likely synthesized from planning documents, GIS data, and expert input.

Freshness

Last updated in April 2026.