# On Mobility Equity and the Promise of Emerging Transportation Systems

arXiv: https://arxiv.org/abs/2408.15401 · HTML: https://mlsanity.com/paper/2408.15401/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Aug 2024.

## Built on by (most cited first, 2 of 2)

- [Route Recommendations for Traffic Management Under Learned Partial Driver Compliance](https://mlsanity.com/paper/2504.02993/) (2025)
- [From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models](https://mlsanity.com/paper/2506.02242/) (2025)

## Abstract (arXiv)

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.