The input data associated with the publication: The Effects of PLU Polling Interval on the Reconstructed OD Matrix: A Dutch Case Study Using a Data-Driven Method

doi:10.4121/0cb60b01-2960-499e-a127-dbf0d46672e9.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: 10.4121/0cb60b01-2960-499e-a127-dbf0d46672e9
Datacite citation style:
Eftekhar, Zahra; Pel, Adam; van Lint, Hans (2024): The input data associated with the publication: The Effects of PLU Polling Interval on the Reconstructed OD Matrix: A Dutch Case Study Using a Data-Driven Method. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0cb60b01-2960-499e-a127-dbf0d46672e9.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 Effects of PLU Polling Interval on the Reconstructed OD Matrix: A Dutch Case Study Using a Data-Driven Method". The paper is published in the TRR. The input_data.rar includes all relevant raw data. This data has the overall purpose of understanding the effect of temporal resolution of data on the estimated origin destination matrix. The 1.experienced_plans.xml file contains the input data from MATSim with the travel diaries of users in Amsterdam. amsterdamMezuroZones.rar contains the geographical information of the data used from MATSiM . The files inside can be opened in python. 

history
  • 2024-09-30 first online, published, posted
publisher
4TU.ResearchData
format
hierarchical travel diaries/ .XML; GIS file/.SHP, .DBF, .CPG, .PRJ, .QPJ, and .SHX; compressed files/ .rar
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 be consumed by internal users at TU Delft

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