Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution?

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Access status: Embargo until 2028-01-01 , ravirtthesisfinal - 68bee3978a11e.pdf (71.89 MB)

Publication date

2025-04-06

Authors

Shin, Hyesop
Silverman, Eric
Heppenstall, Alison
Malleson, Nick
Ilic, Mario
Abeysinghe, Sonali
Sonnenschein, TabeaORCID 0000-0001-6592-9548ISNI 0000000527561040

Editors

Thompson, Jason
Stankov, Ivana

Advisors

Supervisors

Document Type

Part of book
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Abstract

Glasgow, a major city in the UK, faces ongoing challenges with traffic congestion and high levels of air pollution. In response, Glasgow City Council introduced Scotland’s first Low Emission Zone (LEZ) in June 2023. This study investigates the potential impacts of the LEZ on traffic flow, emissions and public health outcomes using an agent-based modelling approach. Using the SUMO traffic simulator, the work in-progress model simulates the complexity of urban traffic dynamics and the associated emissions. Preliminary results highlight emissions fluctuations influenced by traffic congestion and vehicle stops, with significant emissions reductions observed under LEZ-compliant scenarios. The study also identifies critical challenges, including traffic collisions due to inadequate infrastructure and limitations of real-time traffic data. These findings highlight the need for calibrated traffic patterns and infrastructure improvements to maximise the effectiveness of the current LEZ simulation.

Keywords

Air Quality, Emission, Glasgow, Low Emission Zone (LEZ), Simulation of Urban Mobility (SUMO), Traffic Simulation, Taverne, Theoretical Computer Science, General Computer Science, SDG 3 - Good Health and Well-being, SDG 9 - Industry, Innovation, and Infrastructure, SDG 11 - Sustainable Cities and Communities

Citation

Shin, H, Silverman, E, Heppenstall, A, Malleson, N, Ilic, M, Abeysinghe, S & Sonnenschein, T 2025, Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution? in J Thompson & I Stankov (eds), Multi-Agent-Based Simulation - 25th International Workshop, MABS 2024, Revised Selected Papers. Lecture Notes in Computer Science, vol. 15583 LNAI, Springer, pp. 28-36, 25th International Workshop on Multi-Agent-Based Simulation, MABS 2024, Auckland, New Zealand, 6/05/24. https://doi.org/10.1007/978-3-031-88017-9_3, conference