Agricultural Wholesale Market Location Evaluation Results

A case study presents evaluation results for selecting large-scale Agricultural Product Wholesale Markets (APWMs). The dataset contains the outcomes of a five-phase methodology integrating GIS data, AHP, entropy weighting, and a Genetic Algorithm for weight optimization. It was authored by Guizhe Xin and published on figshare in 2026.

Use Cases

• Rank candidate APWM locations using calculated comprehensive weights from the AHP and entropy method integration.
• Validate location selection outcomes by applying the Genetic Algorithm-optimized weight model to candidate schemes.
• Analyze the correlation between location selection criteria such as transportation, land use, and urban compatibility.
• Compare the performance of seven candidate location schemes based on the proposed five-phase evaluation framework.

Strengths

• Proposes a validated five-phase location selection methodology.
• Integrates multiple data sources including GIS, territorial planning, and urban big data.
• Applies an innovative Genetic Algorithm in Python for weight optimization.

Limitations

• The dataset is very small at 5.5 KB, indicating limited raw data or only summary results.
• The specific row count, column names, and sample data are unavailable for verification.
• The case study's geographic scope and the number of evaluated locations are not specified.

Provenance

Source

figshare, authored by Guizhe Xin.

Collection Method

Generated through a research case study applying a multi-criteria evaluation framework and computational optimization.

Freshness

Last updated in April 2026.