TY - DATA T1 - 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 PY - 2024/09/30 AU - Zahra Eftekhar AU - Adam Pel AU - Hans van Lint UR - DO - 10.4121/835e7093-024c-4bed-b7e5-28f1582f5998.v1 KW - trip production KW - demand prediction KW - spatial scale KW - spatial-temporal pattern KW - graph convolution KW - residual analysis N2 -

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 MiRRORS data.rar and it is titled MiRRORS description 20191220.pdf. The Mezuro zones are defined in the shapefiles directory within MiRRORS data.rar. This project's main source of data (origin destination table) is named od_day_hour_20170301_0.CSV located inside MiRRORS data.rar. This dataset is the source to investigate the travel patterns in the Netherlands.

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