The Toronto Island Ferry is a popular mode of transportation, with varying levels of ticket sales and redemptions throughout the year. This paper utilizes the 2024 installment of the "Toronto Island Ferry Ticket Counts" dataset from OpenDataToronto.
By analyzing these patterns, the study offers insights into ferry usage trends across different days and times, drawing connections between historical developments and current usage patterns. Integrating both historical and modern perspectives, this analysis provides detailed quantitative recommendations for predicting ferry ticket usage and highlights key operational considerations.
This repo is structured as:
inputs/data
contains the raw data set obtained from OpenDataToronto.outputs/data
contains the cleaned data set that constructed for final analysis of this paper.outputs/paper
contains the files used to generate the final paper, including the PDF form of the paper, the quarto document, and reference bibliography file.script
contains the R scripts used to simulate, download, clean, and test the data.other/llm
contains details about LLM chat interactions, and sketches.other/sketches
contains the initial visualized thought of how to proceed with the acquired data, presented in a hand-drawn format.other/literature
contains the relevant readings used in this paper
Aspects of the paper are written with the help of ChatGPT and the entire chat history is available in other/llm/usage.txt
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