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

doi:10.4121/835e7093-024c-4bed-b7e5-28f1582f5998.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/835e7093-024c-4bed-b7e5-28f1582f5998
Datacite citation style:
Eftekhar, Zahra; Pel, Adam; van Lint, Hans (2024): 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. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/835e7093-024c-4bed-b7e5-28f1582f5998.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

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.

history
  • 2024-09-30 first online, published, posted
publisher
4TU.ResearchData
format
spreadsheet/.CSV; GIS file/.SHP, .DBF, .CPG, .PRJ, .QPJ, and .SHX; compressed files/ .rar and .zip; pdf file/.pdf
funding
  • MiRRORS (grant code 16270) NWO/TTW
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning

DATA - restricted access

Reason

 The main data is part of data agreements with a commercial party. 

End User Licence Agreement

The data can only be consumed under the permission of Prof.dr.ir. J.W.C. (Hans) van Lint

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