United States Department of Transportation
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T-SCORE Project M4 Implementation and Quantitative Evaluation: Case Studies on Microtransit and Ride-Hailing
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2023-03-01
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[PDF-1.15 MB]
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Alternative Title:Implementation and Quantitative Evaluation [Project Title from Cover]
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Edition:Final Report Aug 2020-Jan 2023
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Abstract:The T-SCORE research team developed a Multi-Modal Optimization and Simulation (MMOS) framework to capture the interactions between travelers, transit systems, and private mobility providers. The MMOS combines three layers, each representing a different type of actor. The central layer represents travelers who aim to maximize their own utility. It includes two modeling components: an activity-based model of travel demand generates the daily travel plans for a synthetic population of a city, and a multi-agent simulation predicts how those agents move through a multi-modal network and the congestion impacts as they do so. The bottom layer represents behavior of private mobility providers, such as ride-hailing drivers, that aim to maximize their own profit. The top layer represents the transit agency that aims to maximize system efficiency, as represented by the transit network design problem. Supply and demand interact between each layer, determining the overall system state. In this report, we describe the overall design of that system followed by the findings of two case studies: one to identify microtransit service areas and one to study the use of microtransit and ride-hailing by wheelchair users. We also describe an extension to develop an transferrable model of ride-hailing demand.
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