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TTC Bus Service Disruptions H1 2022
Data Science and Analytics
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About
This dataset provides detailed information regarding Toronto Transit Commission (TTC) bus delays that occurred during the first six months of 2022. It offers insights into the purpose, context, and significance of public transport service disruptions in Toronto, allowing for analysis of operational efficiency and incident patterns.
Columns
- Date: The specific date (YYYY/MM/DD) when the delay-causing incident took place.
- Route: The numerical identifier for the affected bus route.
- Time: The exact time (hh:mm:ss AM/PM) when the delay-causing incident occurred.
- Day: The name of the day of the week on which the incident happened.
- Location: The geographical location where the delay incident occurred.
- Incident: A textual description of the nature of the delay-causing incident.
- Min Delay: The duration of the delay, recorded in minutes, for the bus following its schedule.
- Min Gap: The total scheduled time, in minutes, between the affected bus and the bus immediately ahead of it.
- Direction: Indicates the direction of the bus route, using codes like NB (northbound), SB (southbound), EB (eastbound), WB (westbound), or B/b/BW for both ways on an east-west route.
- Vehicle: The unique identification number of the vehicle involved in the incident.
Distribution
The dataset is provided in a CSV file format and has a size of 2.07 MB. It contains approximately 27,400 records detailing bus delay incidents.
Usage
This dataset is ideal for:
- Public Transit Analysis: Understanding patterns and causes of delays to improve service reliability.
- Urban Planning: Informing decisions related to traffic management and public transportation infrastructure.
- Operational Efficiency Studies: Identifying recurring issues and optimising bus schedules and operations.
- Research: Studying the impact of various factors on public transport performance.
- Application Development: Creating tools for commuters to anticipate potential delays.
Coverage
The dataset covers bus delay incidents exclusively within Toronto. The time range for the data spans the first six months of 2022, specifically from 1st January 2022 to 30th June 2022. No specific demographic scope is included in the data.
License
CC0: Public Domain
Who Can Use It
- Transportation Authorities: For operational improvements and strategic planning.
- Urban Planners and Policy Makers: To develop informed policies regarding public transport.
- Data Scientists and Analysts: For predictive modelling and statistical analysis of delays.
- Academic Researchers: Studying urban mobility, traffic dynamics, and public service performance.
- Software Developers: Building tools or applications that leverage real-time or historical transit data.
Dataset Name Suggestions
- Toronto TTC Bus Delays First Half 2022
- TTC Bus Service Disruptions H1 2022
- Toronto Transit Bus Incidents January-June 2022
Attributes
Original Data Source: TTC Bus Service Disruptions H1 2022
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