Agricultural Wholesale Market Location Evaluation Results

Evaluation results originate from a case study applying a genetic algorithm to optimize site selection for large-scale agricultural wholesale markets. Guizhe Xin authored this dataset, which was last updated in April 2026. The 5.5 KB file contains calculated weights and rankings for candidate locations based on five key criteria.

Use Cases

• Compare candidate location rankings based on integrated subjective (AHP) and objective (entropy) weight scores.
• Analyze the contribution of specific evaluation criteria like transportation access or land use compatibility to final site scores.
• Validate a genetic algorithm's iterative optimization process for weight convergence in location selection models.
• Apply the five-phase methodology (region screening to comprehensive evaluation) to rank sites for other large infrastructure projects.

Strengths

• Framework integrates five specific evaluation criteria: location, planning, transportation, land use, and urban compatibility.
• Methodology combines Analytic Hierarchy Process (AHP) and entropy weight method for comprehensive scoring.
• Case study demonstrates a complete evaluation from seven candidate schemes to a selected optimal solution.

Limitations

• The dataset is very small at 5.5 KB, indicating limited raw data or a highly summarized output.
• Specific row count, column names, and sample data are unavailable, restricting direct analysis.
• Geographic scope and temporal coverage of the underlying case study data are not specified.

Provenance

Source

Guizhe Xin via figshare.

Collection Method

Calculated results from a research study applying a GIS-integrated framework and genetic algorithm optimization.

Freshness

Last updated in April 2026.