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

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 style="background-color:rgb(255, 250, 234);">MiRRORS data.rar </em>and it is titled <em style="background-color:rgb(255, 250, 234);">MiRRORS description 20191220.pdf. </em>The Mezuro zones are defined in the <em style="background-color:rgb(255, 250, 234);">shapefiles </em>directory within <em style="background-color:rgb(255, 250, 234);">MiRRORS data.rar. </em>This project's main source of data (origin destination table) is named <em style="background-color:rgb(255, 250, 234);">od_day_hour_20170301_0.CSV </em>located inside <em style="background-color:rgb(255, 250, 234);">MiRRORS data.rar. </em>This dataset is the source to investigate the travel patterns in the Netherlands.

本仓库收录与题为《空间特征与邻接性在数据驱动的出行产生短期预测中的作用：荷兰的一项探索性研究》（The Role of Spatial Features and Adjacency in Data-driven Short-term Prediction of Trip Production: An Exploratory Study in the Netherlands）的学术论文相关的输入数据。该论文目前正在《IEEE智能交通系统汇刊》（IEEE Transactions on Intelligent Transportation Systems）接受同行评审。本数据集涵盖2017年3月荷兰Mezuro区域的起讫点（Origin Destination）信息，此类信息以.CSV格式的关系表形式提供。关于数据预处理步骤的详细说明，收录于<em style="background-color:rgb(255, 250, 234);">MiRRORS data.rar</em>压缩包内的<em style="background-color:rgb(255, 250, 234);">MiRRORS description 20191220.pdf</em>文件中。Mezuro区域的空间定义文件存放于<em style="background-color:rgb(255, 250, 234);">MiRRORS data.rar</em>压缩包内的<em style="background-color:rgb(255, 250, 234);">shapefiles</em>目录中。本项目的核心数据源——起讫点表，命名为<em style="background-color:rgb(255, 250, 234);">od_day_hour_20170301_0.CSV</em>，存放于<em style="background-color:rgb(255, 250, 234);">MiRRORS data.rar</em>压缩包内。本数据集可用于探究荷兰的出行模式。