Enabling Public Transport Efficiency: City of Turku, Finland

Pilot start date: May, 2024

Objective: To prepare the analysis of traffic flows to improve public transport (PT) by combining several mobility data sources with geodata.  

Pilot stages:

1. Get to know the tools - become familiar with the BDTI environment
2. Data import - import and prepare the data for analysis
3. Visualise, analyse, and test scikit-mobility - use tools to dig into the data

Future stages:

Determine the most suitable places for dedicated bus lanes and estimations to show the difference these lane changes would make in terms of traffic flow and/or bus connection speed. 

Establish required capacity for Public Transport and possible hotspots for Park & Ride connection. 

Data:

• Traffic data from inductive loops in traffic light cross sections (since 2015)
• Data from EcoCounter traffic counters (since 2020)
• Data from Telraam mobility counters – all of these stored in Azure - bus routes, bus stops, building and area information (stored in open Turku GIS server), bus time tables and realised bus stop bypass times 

Föli - Turku local areal public transportation unit

University of Turku - Researchers and students from the Mathematics and Information Technology Departments.