TY - DATA T1 - The codes 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 - Saman Behrouzi AU - Panchamy Krishnakumari AU - Adam Pel AU - Hans van Lint UR - DO - 10.4121/51fa919d-bc31-4e55-92ac-6fc67ff50fcc.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 codes 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. This code repo is intended to perform analysis on the temporal patterns prediction of travel demand in the Netherlands. The data source needed for running this code can be found under the name " 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".

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