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Auteurs principaux: Bang, Heeseung, Dave, Aditya, Tzortzoglou, Filippos N., Wang, Shanting, Malikopoulos, Andreas A.
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:https://arxiv.org/abs/2408.15401
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author Bang, Heeseung
Dave, Aditya
Tzortzoglou, Filippos N.
Wang, Shanting
Malikopoulos, Andreas A.
author_facet Bang, Heeseung
Dave, Aditya
Tzortzoglou, Filippos N.
Wang, Shanting
Malikopoulos, Andreas A.
contents This paper introduces a mobility equity metric (MEM) for evaluating fairness and accessibility in multi-modal intelligent transportation systems. The MEM simultaneously accounts for service accessibility and transportation costs across different modes of transportation and social demographics. We provide a data-driven validation of the proposed MEM to characterize the impact of various parameters in the metric across cities in the U.S. We subsequently develop a routing framework that aims to optimize MEM within a transportation network containing both public transit and private vehicles. Within this framework, a system planner provides routing suggestions to vehicles across all modes of transportation to maximize MEM. We evaluate our approach through numerical simulations, analyzing the impact of travel demands and compliance of private vehicles. This work provides insights into designing transportation systems that are not only efficient but also equitable, ensuring fair access to essential services across diverse populations.
format Preprint
id arxiv_https___arxiv_org_abs_2408_15401
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On Mobility Equity and the Promise of Emerging Transportation Systems
Bang, Heeseung
Dave, Aditya
Tzortzoglou, Filippos N.
Wang, Shanting
Malikopoulos, Andreas A.
Systems and Control
This paper introduces a mobility equity metric (MEM) for evaluating fairness and accessibility in multi-modal intelligent transportation systems. The MEM simultaneously accounts for service accessibility and transportation costs across different modes of transportation and social demographics. We provide a data-driven validation of the proposed MEM to characterize the impact of various parameters in the metric across cities in the U.S. We subsequently develop a routing framework that aims to optimize MEM within a transportation network containing both public transit and private vehicles. Within this framework, a system planner provides routing suggestions to vehicles across all modes of transportation to maximize MEM. We evaluate our approach through numerical simulations, analyzing the impact of travel demands and compliance of private vehicles. This work provides insights into designing transportation systems that are not only efficient but also equitable, ensuring fair access to essential services across diverse populations.
title On Mobility Equity and the Promise of Emerging Transportation Systems
topic Systems and Control
url https://arxiv.org/abs/2408.15401