Data Science Dojo
Copyright (c) 2019 - 2020
Level: Beginner
Recommended Use: Regression/Classification
Domain: Transportation and Mobility
Birmingham Parking Dataset
The Birmingham Parking Dataset is a simple beginner level dataset with 4 columns and 35718 rows. The dataset contains information about the number of cars parked in 30 parking areas around Birmingham at different times of the day between October to December 2016.
The information in the dataset can be used to understand driving patterns of Birmingham with respect to time and date and be used for efficient planning of new parking facilities.
Data Dictionary
Column Number | Attribute | Attribute Description | Data Type |
---|---|---|---|
1 | SystemCodeNumber | Parking Lot ID | Text |
2 | Capacity | Maximum Capacity of the Parking Lot | Numeric |
3 | Occupancy | Number of Cars Parked at Time Instant | Numeric |
4 | LastUpdated | Time Stamp at which data was updated | Date/Time |
Acknowledgement
This data set has been sourced from the Machine Learning Repository of
University of California, Irvine Parking Birmingham Dataset (UC
Irvine).
The UCI page mentions the following publication as the original source of the
data set:
Stolfi, Daniel H. & Alba, Enrique & Yao, Xin. (2017). Predicting Car Park Occupancy Rates in Smart Cities. 107-117. 10.1007/978-3-319-59513-9_11.