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March 22, 20260 citationsOpen Access

Real-Time Ferry Ticket Sales & Redemption Analytics for Toronto Island Park

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PJpranay jha

Key Points

  • This research aims to provide a framework for analyzing ferry ticket sales and redemption data.
  • Analyzed 261,538 records of ferry ticket sales and redemptions from May 2015 to December 2025.
  • Developed an interactive Streamlit dashboard with 5 key performance indicators (KPIs) across 3 user roles.
  • Achieved a 98.6% redemption rate for ferry tickets.
  • Identified peak demand occurring at 12:00 noon.
  • Calculated an Off-Season Utilization Index of 7.4%.

Abstract

This study presents a comprehensive analytics framework for Toronto Island Park ferry ticket sales and redemptions (May 2015–December 2025), covering 261,538 records and 12,972,051 tickets. An interactive Streamlit dashboard was developed with 5 KPIs across 3 user roles. Key findings include a 98.6% redemption rate, peak demand at 12:00 noon, and an Off-Season Utilization Index of 7.4%. Submitted as part of the Unified Mentor Internship Project 4.

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Cite This Study

pranay jha (2026) studied this question.

synapsesocial.com/papers/69bf390ac7b3c90b18b4311chttps://doi.org/10.5281/zenodo.19132414
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