On Mobility Equity and the Promise of Emerging Transportation Systems

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.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-03-18
DOI
https://doi.org/10.1109/tits.2025.3548885
Citations
2
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
1.37

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article

On Mobility Equity and the Promise of Emerging Transportation Systems

Heeseung Bang, Aditya Dave, Andreas A. Malikopoulos, Filippos N. Tzortzoglou et al.
2 citations
IEEE Transactions on Intelligent Transportation Systems
Transportation and Mobility Innovations
1.37
article

On Mobility Equity and the Promise of Emerging Transportation Systems

Heeseung Bang, Aditya Dave, Andreas A. Malikopoulos, Filippos N. Tzortzoglou, Shanting Wang
article en
2 citations

Abstract

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.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(7)
Cornell University (US)
MathWorks
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Transportation and Mobility Innovations
1.37
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