2023
DOI: 10.1016/j.procs.2023.03.047
|View full text |Cite
|
Sign up to set email alerts
|

Agent-based simulation of shared bikes and e-scooters: the case of Lyon

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 15 publications
0
0
0
Order By: Relevance
“…As for the transport operating by road, a series of ABM applications have focused on presenting a robust model for tackling cross-docking challenges, thereby streamlining logistics operations [21], facilitating simulations to gauge the ramifications of introducing shared bikes and e-scooters on existing travel modalities [22], scrutinizing the effects of automated mobility-on-demand services on the broader public transportation landscape [23], experimenting with the significance of traffic information exchange in ameliorating traffic congestion [24], conducting a comparative analysis between two operational strategies of public transport services, namely fixed-route transit (FRT) and demand-responsive transport (DRT) [25], employing simulations to bolster urban public transport systems, with direct implications for contingency planning [26], attaining cooperation in road networks [27], simulating the diffusion of information between road freight transport agents [28]. Another area of research connected to road transportation is related to the risks associated with this type of transportation.…”
mentioning
confidence: 99%
“…As for the transport operating by road, a series of ABM applications have focused on presenting a robust model for tackling cross-docking challenges, thereby streamlining logistics operations [21], facilitating simulations to gauge the ramifications of introducing shared bikes and e-scooters on existing travel modalities [22], scrutinizing the effects of automated mobility-on-demand services on the broader public transportation landscape [23], experimenting with the significance of traffic information exchange in ameliorating traffic congestion [24], conducting a comparative analysis between two operational strategies of public transport services, namely fixed-route transit (FRT) and demand-responsive transport (DRT) [25], employing simulations to bolster urban public transport systems, with direct implications for contingency planning [26], attaining cooperation in road networks [27], simulating the diffusion of information between road freight transport agents [28]. Another area of research connected to road transportation is related to the risks associated with this type of transportation.…”
mentioning
confidence: 99%