  In recent years, the rapid growth of on-demand deliveries, especially in food
deliveries, has spurred the exploration of innovative mobility solutions. In
this context, lightweight autonomous vehicles have emerged as a potential
alternative. However, their fleet-level behavior remains largely unexplored. To
address this gap, we have developed an agent-based model and an environmental
impact study assessing the fleet performance of lightweight autonomous food
delivery vehicles. This model explores critical factors such as fleet sizing,
service level, operational strategies, and environmental impacts. We have
applied this model to a case study in Cambridge, MA, USA, where results
indicate that there could be environmental benefits in replacing traditional
car-based deliveries with shared lightweight autonomous vehicle fleets. Lastly,
we introduce an interactive platform that offers a user-friendly means of
comprehending the model's performance and potential trade-offs, which can help
inform decision-makers in the evolving landscape of food delivery innovation.
