Exploring Visitor Density Trends in Rest Areas Through Google Maps Data and Data Mining

7 Pages Posted: 21 Jun 2024

See all articles by Marita Prasetyani

Marita Prasetyani

affiliation not provided to SSRN

R. Rizal Isnanto

affiliation not provided to SSRN

Catur Edi Widodo

affiliation not provided to SSRN

Abstract

Rest areas play a vital role in ensuring the safety and comfort of travelers. This study examines the visitor density at the toll and non-toll rest areas using data mining techniques applied to Google Maps Places data. By utilizing extensive information from Google Maps, the research aims to uncover patterns and trends in visitor behavior and pinpoint peak usage times. The findings can guide improved planning and management of rest areas, thereby enhancing the overall travel experience for road users and further research to determine the location of the new rest area.Understanding patterns or trends in visitor density at rest areas involves analyzing the time of day, location, and other factors influencing the density level. Understanding these trends can provide essential insights for rest area management, infrastructure planning, and the establishment of new rest areas.Data from Google Maps provides an invaluable source of real-time and historical information, enabling accurate and in-depth analysis of visitor behavior.Data mining helps identify relationships not immediately apparent in the data, providing a deeper understanding and supporting data-driven decision-making.The open-source data collected includes data ID, Rest Area name, URL Link, Day, Time, Crowd Percentage, Latitude, and Longitude.

Keywords: Data Mining, Rest Areas, Web Scraping, Google Maps, Visitor Density

Suggested Citation

Prasetyani, Marita and Isnanto, R. Rizal and Widodo, Catur Edi, Exploring Visitor Density Trends in Rest Areas Through Google Maps Data and Data Mining. Available at SSRN: https://ssrn.com/abstract=4872863 or http://dx.doi.org/10.2139/ssrn.4872863

Marita Prasetyani (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

R. Rizal Isnanto

affiliation not provided to SSRN ( email )

No Address Available

Catur Edi Widodo

affiliation not provided to SSRN ( email )

No Address Available

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