Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
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This Author published in this journals
All Journal Journal of Local Architecture and Civil Engineering
Rejeki, V. G. Sri
Unknown Affiliation
Arts Humanities Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Google Maps API as a Tool for Detecting Urban Density Levels Ara Kian, Donatus; Sanjaya, Ridwan; Rejeki, V. G. Sri
Local Engineering Vol. 4 No. 1 (2026): June
Publisher : CV. Gio Architect

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59810/lejlace.v4i1.231

Abstract

The development of geospatial technology has enabled more efficient analyses of urban density. Google Maps API provides location data, traffic information, and user activity patterns that can be utilized to detect density levels in urban areas. This study aims to explore the potential of the Google Maps API as a tool for identifying urban density by integrating traffic data (Traffic Layer), business location datasets, and user movement patterns. The findings indicate that data obtained from the Google Maps API can be used to map high-density zones in both real-time and historical contexts. These insights have significant implications for urban planning, congestion mitigation, and smart city development.
Co-Authors Ridwan Sanjaya