Journal of Local Architecture and Civil Engineering
Vol. 4 No. 1 (2026): June

Google Maps API as a Tool for Detecting Urban Density Levels

Ara Kian, Donatus (Unknown)
Sanjaya, Ridwan (Unknown)
Rejeki, V. G. Sri (Unknown)

Article Info

Publish Date
14 Jan 2026

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.

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Journal Info
Journal of Local Architecture and Civil Engineering
Website

Abbrev

localengineering

Publisher

CV. Gio Architect

Subject

Arts Humanities Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

Local Engineering Journal of Local Architecture and Civil Engineering is dedicated to disseminating scholarly research and practical applications in the fields of architecture and civil engineering with a particular emphasis on local and regional perspectives. Our goal is to foster the exchange of ...