Pedal Me Bicycle Deliveries
Donated on 8/13/2023
A dataset of weekly bicycle package deliveries by Pedal Me in London during 2020 and 2021. Nodes in the graph represent geographical units and edges are proximity based mutual adjacency relationships.
Dataset Characteristics
Time-Series
Subject Area
Social Science
Associated Tasks
Regression
Feature Type
Real
# Instances
36
# Features
15
Dataset Information
What do the instances in this dataset represent?
Instances are the weekly deliveries done by Pedal Me in certain regions of London.
Additional Information
A dataset about the number of weekly bicycle package deliveries by Pedal Me in London during 2020 and 2021. Nodes in the graph represent geographical units and edges are proximity based mutual adjacency relationships.
Has Missing Values?
No
Introductory Paper
By Benedek Rozemberczki, P. Scherer, Yixuan He, G. Panagopoulos, M. Astefanoaei, Olivér Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar. 2021
Published in International Conference on Information and Knowledge Management
Dataset Files
| File | Size |
|---|---|
| pedalme_.zip | 5.6 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset pedal_me_bicycle_deliveries = fetch_ucirepo(id=847) # data (as pandas dataframes) X = pedal_me_bicycle_deliveries.data.features y = pedal_me_bicycle_deliveries.data.targets # metadata print(pedal_me_bicycle_deliveries.metadata) # variable information print(pedal_me_bicycle_deliveries.variables)
Rozemberczki, B., Scherer, P., He, Y., Panagopoulos, G., Astefanoaei, M., Kiss, O., Béres, F., Collignon, N., & Sarkar, R. (2021). Pedal Me Bicycle Deliveries [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5KC9C.
Keywords
Creators
Benedek Rozemberczki
benedek.rozemberczki@gmail.com
The University of Edinburgh
P. Scherer
Yixuan He
G. Panagopoulos
M. Astefanoaei
Olivér Kiss
Ferenc Béres
Nicolas Collignon
Rik Sarkar
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.