Keywords

Multimodal Transportation, Ride-sourcing, Equilibrium Pricing, Transit, Multi-agent Optimization

Abstract

While multimodal mobility systems have the potential to bring benefits to travelers, drivers, environment, and traffic congestion, such systems typically involve multiple non-cooperative decision-makers who may selfishly optimize their own objectives without considering the overall system benefits. This paper aims to investigate market-based interactions of key stakeholders (i.e., service providers, drivers, and travelers) in the context of multimodal transportation (MT) systems. We propose a unified mathematical modeling framework to capture the decentralized travelers and drivers' decision-making process and balance the spatial demand and supply by locational service pricing. Such a model allows analyses of the impact of decentralized decision-making on multimodal mobility efficiencies. The proposed formulation can be further convexified to efficiently compute both the primal (e.g., traffic flow, mode choice, etc.) and dual (e.g., pricing) decision variables in the systems. We conduct numerical experiments on different settings of transportation networks to gain policy insights on how locational ride-sourcing pricing can influence the MT system. It is found that travelers prefer MT more when they become more sensitive to travel cost; on the other hand, travelers may need to be subsidized to use MT if ride-sourcing drivers become more sensitive to payment or there are fewer transit hubs in the network. Though more transit hubs in the network will encourage travelers to use MT, it will increase the total relocation time of drivers, leading to an increase of transportation emission and empty vehicle miles traveled (VMT).

Completion Date

2024

Semester

Fall

Committee Chair

Guo, Zhaomiao

Degree

Master of Science (M.S.)

College

College of Engineering and Computer Science

Department

Department of Civil, Environmental and Construction Engineering

Format

PDF

Identifier

DP0029702

Document Type

Thesis

Campus Location

Orlando (Main) Campus

Download

Share

COinS