Evoluindo resili\^encia em rotas de \^onibus: Proposta de um m\'etodo para a maximiza\c{c}\~ao de acessibilidade em cen\'arios de incerteza por meio de algoritmo gen\'etico

TL;DR

This paper introduces a genetic algorithm-based method to optimize bus route frequency for enhanced accessibility and resilience in transit systems, demonstrated through application in São Paulo.

Contribution

It proposes a novel genetic algorithm approach to maximize bus system resilience and accessibility under impact scenarios, addressing a gap in existing transit planning methods.

Findings

Improves accessibility during impact scenarios with reduced bus frequencies.

Enhances overall system efficiency in normal conditions.

Demonstrates effectiveness through application in São Paulo.

Abstract

Resilience has raised interest in transport planning as rare phenomena, such as fuel supply crises, have recently shown their potential to destabilize transport systems. However, the proposed methods for planning resilience in transit systems fail to consider the impact that bus frequency has on user accessibility. To address this gap, this paper proposes a bus allocation method aimed at maximizing accessibility in impact scenarios - where some bus routes have their frequency reduced - making use of a genetic algorithm. The method is applied in the city of S\~ao Paulo and the results show that evolving the system foreseeing moderate impacts not only contributes to reducing the negative effects of lower route frequency, but also improves its efficiency in normal conditions, showing the importance of the contribution of this research to the planning of efficient systems.