Participatory Noise Mapping using GIS in Community Barrio Obrero Oeste, Caño Martín Peña Special Planning District

Abstract

This study investigates the pervasive issue of noise pollution in urban environments, focusing on Barrio Obrero Oeste in San Juan, Puerto Rico. By integrating Geographic Information Systems (GIS) and participatory noise mapping, the research identifies critical noise hotspots and evaluates the relationship between noise levels and land-use zoning. Utilizing the NIOSH Sound Level Meter App, 81 noise samples were collected to measure equivalent continuous sound levels (LAeq) and maximum sound levels (Lmax). Key findings reveal significant noise contributions from transportation corridors, air traffic, and mixed-use zones, with residential areas exhibiting the highest sensitivity. Kernel density analysis highlights clusters of noise pollution exceeding regulatory thresholds established by Puerto Rico’s Environmental Quality Board, emphasizing the role of zoning and infrastructure in shaping noise dynamics. The study underscores the feasibility of smartphone-based participatory noise mapping as a cost-effective approach to environmental monitoring. Keywords - Crowdsource Mapping, GIS, Noise Mapping, Noise Pollution Assessment