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

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-20
DOI
https://doi.org/10.5281/zenodo.19132415
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

pranay jha
Zenodo (CERN European Organization for Nuclear Research)
Maritime Ports and Logistics
article

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

pranay jha
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 14%
Maritime Ports and Logistics
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