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Electric Infrastructure Planning Data Turin
Data Science and Analytics
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About
Free Floating Car Sharing (FFCS) systems provide users with access to a fleet of vehicles that can be picked up and dropped off anywhere within a defined service area, offering a sustainable alternative to private vehicle ownership. These records capture client trips within the FFCS system in Turin, Italy. The data is designed to facilitate the analysis of vehicle usage behaviour, which is essential for planning the introduction of electric vehicles and identifying optimal locations for charging infrastructure to reduce pollution and emissions.
Columns
- Unlabelled Column: A numeric index or identifier for the records, ranging up to approximately 190,000.
- init_lon: The longitude coordinate of the trip starting point.
- init_lat: The latitude coordinate of the trip starting point.
- final_lon: The longitude coordinate of the trip destination.
- final_lat: The latitude coordinate of the trip destination.
- init_time: The timestamp representing the start time of the trip.
- final_time: The timestamp representing the finish time of the trip.
Distribution
The dataset is provided in a CSV format (
Torino_bookings.csv) with a file size of 7.56 MB. It contains approximately 122,000 valid records representing individual trips.Usage
Urban planners and researchers can use this data to analyse mobility patterns and simulate the behaviour of electric Free Floating Car Sharing fleets. Key applications include determining the most effective placement for electric vehicle charging stations, conducting K-Means clustering analysis, and performing exploratory data analysis (EDA) to support sustainable transportation strategies and pollution reduction initiatives.
Coverage
The data covers the city of Turin (Torino), Italy. The temporal scope spans from early September 2017 to early November 2017 (timestamps roughly 1504605281 to 1509582042). The demographic scope includes clients utilizing the FFCS service within the city.
License
Attribution 4.0 International (CC BY 4.0))
Who Can Use It
- Urban Planners: To design electric vehicle infrastructure and charging networks.
- Data Scientists: For clustering analysis, visualization, and mobility modelling.
- Sustainability Researchers: To study the impact of shared mobility on emission reductions.
- Transportation Engineers: To analyse vehicle utilisation and fleet management.
Dataset Name Suggestions
- Turin FFCS Mobility Trips
- Electric Infrastructure Planning Data Turin
- Torino Free Floating Car Sharing Records
- Sustainable Mobility Patterns Turin
Attributes
Original Data Source: Electric Infrastructure Planning Data Turin
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