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.
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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: |
24666 |
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]},
}
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