Abstract
PurposeRidesourcing services have become popular recently and play a crucial role in Mobility as a Service (MaaS) offers. With their increasing importance, the need arises to integrate them into travel demand models to investigate transport system-related effects. As strong interdependencies between different people’s choices exist, microscopic and agent-based model approaches are especially suitable for their simulation.MethodThis paper presents the integration of shared and non-shared ridesourcing services (i.e., ride-hailing and ride-pooling) into the agent-based travel demand model mobiTopp. We include a simple vehicle allocation and fleet control component and extend the mode choice by the ridesourcing service. Thus, ridesourcing is integrated into the decision-making processes on an agent’s level, based on the system’s specific current performance, considering current waiting times and detours, among other data.Results and DiscussionIn this paper, we analyze the results concerning provider-related figures such as the number of bookings, trip times, and occupation rates, as well as effects on other travel modes. We performed simulation runs in an exemplary scenario with several variations with up to 1600 vehicles for the city of Stuttgart, Germany. This extension for mobiTopp provides insights into interdependencies between ridesourcing services and other travel modes and may help design and regulate ridesourcing services.
Highlights
Ridesourcing services have become increasingly popular during the past years and already play an important role in the transport system in many places
The decreased amount of vehicle kilometers for the ride-pooling service can be explained with the fact that due to the higher number of bookings, more “dead” times for pick-up and drop-off occur in which the vehicles do not move
6 Conclusions As ridesourcing services are gaining popularity and importance, the need arises to incorporate them into travel demand models
Summary
Ridesourcing services have become increasingly popular during the past years and already play an important role in the transport system in many places. Many methods do not fully integrate ridesourcing services into travel demand modeling but perform ex-post calculations on the possible bundling of trips. The demand from a (macroscopic) Visum model is disaggregated and subsequently bundled into rides This is done with an algorithm used in logistics that solves a sequence of vehicle routing problems. Another modeling approach is presented by Friedrich et al [8] In their algorithm, ride-pooling tours are created within the aggregated travel demand software Visum. Ride-pooling tours are created within the aggregated travel demand software Visum The core of this algorithm is to investigate if new ride requests can be integrated into the shortest trip route of an already planned tour. This approach simulates groups of people instead of agents and vehicles
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
