Bringing the efficiency of electricity market mechanisms to multimodal mobility across congested transportation systems

Beheshtian, Arash; Geddes, R. Richard; Rouhani, Omid M.; Kockelman, Kara M.; Ockenfels, Axel; Cramton, Peter; Do, Wooseok

doi:10.1016/j.tra.2019.09.021

Cited by 12 publications

(10 citation statements)

References 54 publications

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“…1 The identification process of selecting papers supply side concentrated on service package creation [36] and pricing schemes [37]. The platform side focused on matching both users and vehicles, route planning [38][39][40][41][42][43][44][45][46][47][48][49], and the impact of MPO on users [50][51][52]. The modeling part focused on modeling the demand-supply interactions [48,[53][54][55][56][57][58][59][60][61][62][63][64][65][66][67].…”

Section: Inclusionmentioning

confidence: 99%

A Literature Review on Interactions Between Stakeholders Through Accessibility Indicators Under Mobility as a Service Context

2021

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This study aims to explore accessibility indicators influencing the interactions between users, transport service providers (TSPs), and a platform operator, generating a conceptual framework for modeling these interactions under Mobility as a Service context. A systematic literature review was conducted to identify all studies focusing on indicators and modeling the interactions. There are limitations in integrating psychological indicators and dynamic pricing into the existing models. Moreover, there are gaps in considering monthly service packages, the efficiency of transport systems, and the perspectives of the TSPs for modeling the demand–supply interactions. The study ends with conclusions, discussions, and directions for further studies.

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Section: Inclusionmentioning

confidence: 99%

A Literature Review on Interactions Between Stakeholders Through Accessibility Indicators Under Mobility as a Service Context

2021

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“…In general, this choice model is treated as a lower-level optimization in centralized decisions. Beheshtian et al [3] studied the multimodal marketplace in which service providers bids for the use of road segments and travelers pay the roadway tolls by the clearing prices. In addition, transportation agencies may incentivize travelers to use one mode of transport over the others.…”

Section: Backgroundsmentioning

confidence: 99%

Multimodal mobility systems

Luo

Samaranayake

Banerjee

2021

Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical Systems

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The performance of multimodal mobility systems relies on the seamless integration of conventional mass transit services and the advent of Mobility-on-Demand (MoD) services. Prior work is limited to individually improving various transport networks' operations or linking a new mode to an existing system. In this work, we attempt to solve transit network design and pricing problems of multimodal mobility systems en masse. An operator (public transit agency or private transit operator) determines frequency settings of the mass transit system, flows of the MoD service, and prices for each trip to optimize the overall welfare. A primal-dual approach, inspired by the market design literature, yields a compact mixed integer linear programming (MILP) formulation. However, a key computational challenge remains in allocating an exponential number of hybrid modes accessible to travelers. We provide a tractable solution approach through a decomposition scheme and approximation algorithm that accelerates the computation and enables optimization of large-scale problem instances. Using a case study in Nashville, Tennessee, we demonstrate the value of the proposed model. We also show that our algorithm reduces the average runtime by 60% compared to advanced MILP solvers. This result seeks to establish a generic and simple-to-implement way of revamping and redesigning regional mobility systems in order to meet the increase in travel demand and integrate traditional fixed-line mass transit systems with new demand-responsive services.

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“…Naturally, any customer focused research agenda (see Figure 3) for Maas enablement should begin with demand side considerations. Such research should expand on existing studies of WTP (Caiati et al 2020), develop decision support systems for MaaS developers/innovators to assess market potential (Ho et al 2020), examine the contextual value of different mobility bundles (Guidon et al 2020), and investigate MaaS sustainability issues (Mulley et al, 2020), including the need for travelers to internalize congestion externalities (Beheshtian et al, 2020).…”

Section: Outlining a Research Agenda For Maas Enablementmentioning

confidence: 99%

Customer-led mobility: A research agenda for Mobility-as-a-Service (MaaS) enablement

Casady

2020

Case Studies on Transport Policy

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Bringing the efficiency of electricity market mechanisms to multimodal mobility across congested transportation systems

Cited by 12 publications

References 54 publications

A Literature Review on Interactions Between Stakeholders Through Accessibility Indicators Under Mobility as a Service Context

A Literature Review on Interactions Between Stakeholders Through Accessibility Indicators Under Mobility as a Service Context

Multimodal mobility systems

Customer-led mobility: A research agenda for Mobility-as-a-Service (MaaS) enablement

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