.png){kind=icon}
.png){kind=icon}
Return
Uncertainties in shared mobility optimization problems: Survey and perspective
.png){kind=icon}
OA
AI
DOI：10.1016/j.tre.2025.104350.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Identifies and categorizes four primary types of uncertainty in shared mobility systems: demand, supply, behavioral, and operational environment uncertainty. • Systematically analyzes the impact of these uncertainties on strategic, tactical, and operational decision-making levels across multiple shared mobility services. • Reviews and synthesizes methodologies, linking them explicitly to specific uncertainty types. • Highlights the unique challenges and suitability of each optimization method under various uncertainty conditions within shared mobility contexts. • Provides comprehensive insights into the current gaps and future research directions.
Keywords:
Shared mobility
Optimization under uncertainty
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
8.8
Papers:
647
Citations:
2.0W
Organization
No organization information available