Vehicle Routing Planning Articles Dataset: A Review of Emerald Insight

The dataset was constructed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, a widely recognized approach for conducting systematic reviews. PRISMA ensures rigor and transparency in identifying, screening, and including articles, making this dataset a reliable source for future studies.

This dataset consists of two sheets that organize the information in complementary ways to address different analytical needs.

Sheet 1: General Classification of Articles

This sheet includes information on 254 articles identified through the PRISMA methodology. The articles are classified based on the following fields:
Journal: The academic journal in which the article was published.
Number of Downloads: An indicator of the article's popularity or relevance in the academic community.
Year of Publication: The year the article was published, enabling time-series analyses and tracking of research trends.
Main Keyword: The primary keyword associated with the article, reflecting its central theme or focus.
Title of the Paper: The full title of the article, offering insights into the specific topics addressed.
Results: A brief summary of the findings or contributions of the article.
This sheet allows researchers to explore VRP-related literature broadly, identifying patterns such as publication trends, popular journals, or frequently used keywords.

Sheet 2: Taxonomy-Based Organization
This sheet re-organizes the dataset by focusing exclusively on articles classified under open-access filters and arranges them according to a vehicle routing taxonomy. The taxonomy categorizes the articles based on specific VRP-related topics, such as type of study, applied method, time window structure among others.This sheet is particularly valuable for focused studies, as it groups articles in a way that aligns with specific research interests or applications.