Dynamic stop pooling for flexible and sustainable ride sharing

TL;DR

This paper introduces a dynamic stop pooling model with flexible stop positions that improves ride sharing efficiency by reducing travel time and occupancy without increasing route length, enhancing sustainability and service quality.

Contribution

It presents a novel computational model of dynamic stop pooling with flexible stops, analyzing its impact on ride sharing performance and sustainability.

Findings

Reduces user travel time despite walking parts of the trip.

Does not increase route length but improves occupancy.

Potential to break the trade-off between route length and travel time.

Abstract

Ride sharing - the bundling of simultaneous trips of several people in one vehicle - may help to reduce the carbon footprint of human mobility. However, standard door-to-door ride sharing services trade reduced route length for increased user travel times and come with the burden of many stops and detours to pick up individual users. Requiring some users to walk to nearby shared stops reduces detours, but could become inefficient if spatio-temporal demand patterns do not well fit the stop locations. Here, we present a simple computational model of dynamic stop pooling with flexible stop positions, and analyze its influence on the performance of ride sharing services. We find that dynamic stop pooling does a-priori not save route length, but occupancy. Intriguingly, it also reduces the travel time although users walk parts of their trip. Together, dynamic stop pooling may break the trade-off between route lengths and travel time in door-to-door ride sharing, thus enabling higher sustainability and service quality.