Center for Machine Learning and Intelligent Systems 		About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site.

Pedal Me Bicycle Deliveries Data Set
Download: Data Folder, Data Set Description

Abstract: 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.

Data Set Characteristics:  

Time-Series

Number of Instances:

36

Area:

Social

Attribute Characteristics:

Real

Number of Attributes:

15

Date Donated

2021-04-20

Associated Tasks:

Regression

Missing Values?

N/A

Number of Web Hits:

1513

Source:

Benedek Rozemberczki, The University of Edinburgh, benedek.rozemberczki '@' gmail.com


Data Set 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.


Attribute Information:

Attributes are the weekly deliveries done by Pedal Me in certain regions of London.


Relevant Papers:

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Astefanoaei, Oliver Kiss, Ferenc Beres, Nicolas Collignon, Rik Sarkar

[Web Link]



Citation Request:



@misc{rozemberczki2021pytorch,
author = {Benedek Rozemberczki and Paul Scherer and Yixuan He and George Panagopoulos and Maria Astefanoaei and Oliver Kiss and Ferenc Beres and Nicolas Collignon and Rik Sarkar},
title = {{PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models}},
year = {2021},
eprint = {[Web Link]},
}

Supported By:

 In Collaboration With:
About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML