EURO 2024 Copenhagen
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4065. A Multi-Objective Optimization Approach for Electric Bus Fleet Conversion on the Istanbul Metrobus Line

Invited abstract in session TB-18: Optimization of sustainable urban mobiltiy II, stream Sustainable Cities.

Tuesday, 10:30-12:00
Room: 42 (building: 116)

Authors (first author is the speaker)

1. Zahide Özden Ceylan Güngör
Industrial Engineering, ITU
2. Sule Itir Satoglu
Industrial Engineering, ITU

Abstract

Transportation causes roughly 25% of global greenhouse gas emissions due to its reliance on fossil fuels (European Commission, 2011. In Turkey, road transport alone emits a staggering 93% of the sector (DEK, 2017). To combat this, electrifying public buses offers a promising solution for sustainable cities. Electric buses boast zero tailpipe emissions, significantly improving air quality (Hensher et al., 2022). They outperform diesel buses, which emit 1.35 kg of CO2 per mile, highlighting their potential to reduce emissions.

This study explores the optimal electric bus fleet conversion planning problem (EBFT problem) aligned with the Paris Agreement's emission reduction goals. We propose a linear programming model for EBFT, considering direct/external costs alongside salvage value. The model optimizes for both economic (minimizing total fleet conversion cost) and environmental (minimizing total emissions) objectives. We incorporate four scenarios representing different electrification levels.

A case study using Istanbul's Metrobus data demonstrates a scenario-dependent optimal conversion plan. For Istanbul, gradual conversion achieves a 21% emissions reduction by 2030. This study employs a comprehensive optimization approach, considering multiple objectives, timeframes, and vehicle ages.

Keywords

Status: accepted

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