Dark Mode
Comparative Urban Mobility Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
An analysis of worldwide traffic congestion, this data provides a ranking of various global cities based on their Traffic Congestion Index (TCI). The data was collected between 19 June 2022 and 26 June 2022. The TCI is calculated by analysing traffic imagery from Google Maps every 20 minutes for the central area of each tracked city. The index is derived from the percentages of four traffic colours (green, orange, red, and dark red), offering a quantitative measure of traffic flow and congestion levels.
Columns
- Rank: The numerical ranking of the city based on its traffic congestion level.
- City: The name of the city being tracked.
- AverageTCI: The average Traffic Congestion Index for the city during the observation period.
- MaxTCI: The maximum Traffic Congestion Index recorded for the city during the observation period.
Distribution
The data is provided in a CSV file format named
TrafficIndex_19Jun2022-26Jun2022.csv. It contains 68 records and 4 columns.Usage
This data is ideal for urban planning studies, transportation analysis, and exploratory data analysis projects. It can be used to compare traffic patterns across different cities, understand urban mobility challenges, and develop models for traffic prediction. It is also suitable for beginners in data science looking for a straightforward dataset to practice their skills.
Coverage
The dataset offers global geographic coverage, including 68 cities worldwide. The data pertains to a specific time range, from 19 June 2022 to 26 June 2022. No further demographic scope is specified. The data is static and will not be updated.
License
CC0: Public Domain
Who Can Use It
- Urban Planners: To analyse and compare congestion levels in major cities for infrastructure development.
- Data Scientists and Analysts: For exploratory data analysis, data visualisation, and building predictive traffic models.
- Students and Researchers: As a primary data source for academic projects related to urban studies, transportation, and environmental science.
- Beginners in Data Science: To practice fundamental data analysis and visualisation techniques on a real-world dataset.
Dataset Name Suggestions
- Global Traffic Congestion Index 2022
- Worldwide Urban Traffic Ranking (June 2022)
- City Traffic Congestion Analysis
- Comparative Urban Mobility Data
Attributes
Original Data Source: Comparative Urban Mobility Data
QUALITY