Parking Transactions Dataset

Massive set of transactional data from parking systems (terminals and mobile apps) from 2019 to 2024. Each record includes duration, amount, timestamp, payment method, and zone ID. Ideal for urban analysis, mobility policies or the study of digital payments.

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Size

~78.2 million rows (CSV), data structured in 9 columns, covering 2019 to 2024

Licence

CC0: Public Domain

Description

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This structured dataset includes more than 78 million parking transactions from various sources: physical terminals, mobile applications, urban areas. Covering a period of 5 years (2019—2024), each line provides key data: transaction ID, parking time, start/end time, amount paid, kiosk or zone, and payment method used. Everything is organized in CSV format.

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What is this dataset for?

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Analyze parking demand by period, zone or payment method
Model the impact of pricing or urban regulation policies
Studying the evolution of the adoption of digital payments in public services
Predict attendance by zone or period using statistical or ML models

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Can it be enriched or improved?

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Yes, this dataset can be cross-referenced with external data (events, weather, traffic) to identify correlations. We can also enrich temporal variables (peak hours, holidays), or map kiosks and areas using geographic data sets. This makes it very flexible for urban data science work.

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🔎 In summary

Criterion	Evaluation
🧩 Ease of use	⭐⭐⭐⭐⭐ (Very simple to load in CSV with well-named columns)
🧼 Need for cleaning	⭐⭐⭐✩✩ (Moderate – checking time formats and outliers recommended)
🏷️ Annotation richness	⭐⭐⭐⭐⭐ (Excellent structuring of transactional variables)
📜 Commercial license	✅ Yes (CC0)
👨‍💻 Beginner friendly	✅ Perfect for data exploration and visualization
🔁 Fine-tuning ready	✅ Yes, for training forecasting or segmentation models
🌍 Cultural diversity	⚠️ Local but applicable to other urban contexts