EMGRO: Synthetic Urban Logistics Data for Multi-Courier Routing

Synthetic data for urban logistics scenarios supports the EMGRO framework study. The dataset includes customer orders, delivery locations, and pickup locations for evaluating routing efficiency and emissions. Author Metin Özşahin published the data on figshare in April 2026.

Use Cases

• Benchmarking emission-minimizing routing algorithms based on the described spatial distributions of demand points.
• Simulating multi-courier system performance based on the described courier interaction nodes.
• Evaluating delivery performance metrics based on the described synthetic customer orders.
• Studying green logistics decision-making based on the described emission-aware framework context.

Strengths

• Data is explicitly synthetic and contains no personal or sensitive information.
• File size is 152.9 KB, indicating a focused and manageable dataset.
• License is CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is synthetic, which may limit real-world applicability.

Provenance

Source

figshare, associated with the EMGRO framework study.

Collection Method

Synthetically generated for experimental purposes.

Time Range

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Freshness

Last updated 2026-04-20 07:31:19; freshness should be verified.

Geography

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