%0 Generic
%A Eftekhar, Zahra
%A Pel, Adam
%A van Lint, Hans
%D 2024
%T   The input data associated with the publication: The Role of Spatial Features and Adjacency in Data-driven Short-term Prediction of Trip Production: An Exploratory Study in the Netherlands
%U 
%R 10.4121/835e7093-024c-4bed-b7e5-28f1582f5998.v1
%K trip production
%K demand prediction
%K spatial scale
%K spatial-temporal pattern
%K graph convolution
%K residual analysis
%X <p>This repository contains the input data associated with the research paper titled "The Role of Spatial Features and Adjacency in Data-driven Short-term Prediction of Trip Production: An Exploratory Study in the Netherlands". The paper is currently under review for publication in the IEEE Transactions on Intelligent Transportation Systems. The data shows the origin destination information for Mezuro zones in the Netherlands for March 2017. This information are provided in a format of a relational table in .CSV format. The details on data preparation steps are provided in the pdf file inside <em>MiRRORS data.rar </em>and it is titled <em>MiRRORS description 20191220.pdf. </em>The Mezuro zones are defined in the <em>shapefiles </em>directory within <em>MiRRORS data.rar. </em>This project's main source of data (origin destination table) is named <em>od_day_hour_20170301_0.CSV </em>located inside <em>MiRRORS data.rar. </em>This dataset is the source to investigate the travel patterns in the Netherlands. </p>
%I 4TU.ResearchData