Work

Road network simplification to support air quality analysis

Year: 2025

Type: conference-paper

Abstract: In this paper, we outline progress in ongoing work using the OpenStreetMap (OSM) street network dataset to support the analysis of hyperlocal (granular) air quality data in urban street networks. We use Dublin, Ireland, and Google Air Quality Lab data as our case study. To perform a road-based analysis of pollutant data collected by the Google Street View car, we address OSM network fragmentation by reconstructing roundabouts and aggregating road segments. Our approach creates a more cohesive representation of the streets under analysis while preserving key road attributes and resolving fragmentation issues.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15089553

Authors: Lo Presti, Luisa, Mooney, Peter

Institution: National University of Ireland, Maynooth

Language: English

Topic: Geographic Information Systems Studies

Subfield: Geography, Planning and Development

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6930661502

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