Veebipõhine koondpaneel Tartu rattaringluse andmete visualiseerimiseks ja analüüsimiseks

Abstract

Tartu bike-sharing has collected a large volume of ride and GPS data over five years but lacking a comprehensive interactive analysis tool. The objective of this thesis was to develop a web-based dashboard for visualizing and analyzing this data. The application was built using Svelte/SvelteKit, MapLibre and DuckDB. The main challenge was visualizing large spatial datasets. This was solved by processing data into vector tiles using PMTiles format. The result is a functional dashboard enabling temporal and spatial analysis of bike-sharing usage, including key metrics, station-based data and map visualizations of routes and heatmaps.