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Research on Optimization of Multi-Modal Transportation System Network Considering Transfer Relationships

  • Ruochen Shang
  • , Chong Wu*
  • , Shiwei Guo
  • *Corresponding author for this work
  • School of Management, Harbin Institute of Technology
  • Tiangong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Baltimore's transportation system mainly relies on walking and buses, with researchers aiming to improve these by optimizing bus routes and sidewalk facilities. However, costs and traffic congestion remain concerns, especially after the collapse of the Francis Scott Key Bridge, which exacerbated congestion and affected travel time, freight costs, and supply chains. For Task1: To address these issues, researchers built a hypernetwork model for a multimodal transportation system considering transfer relationships. This model analyzes traveler behavior, defines feasible paths, and establishes cost functions, providing a comprehensive perspective for decision makers to identify bottlenecks, optimize resources, and promote sustainable development during bridge reconstruction, ensuring smoother transitions and minimizing disruptions. For Task2: The researchers conducted a cost analysis, studying travel time, emissions, and energy consumption for different modes of transportation. They employed a multimodal transportation network flow allocation model and sensitivity analysis to solve programming problems, aiding in quantifying the project's impact on stakeholders and providing a robust scientific basis for decision making. For Task3: Based on these analyses, the researchers proposed various measures to improve the transportation network, including setting up low-emission zones, promoting new travel modes, and reducing private car entry. They also suggested supportive measures such as strengthening parking facilities, implementing differentiated fees, optimizing traffic layout, and integrating public and shared travel options. Additionally, they proposed long-term development plans, policy guarantees, and encouraged public participation to create a green and efficient travel environment. Overall, this research report comprehensively evaluates the potential impact of optimizing bus routes and sidewalk facilities in Baltimore, proposing a range of measures and long-term plans to foster an efficient, environmentally friendly, and sustainable transportation system that caters to the city's current and future needs.

Original languageEnglish
Title of host publicationProceedings - 9th International Conference on Cloud, Big Data and Communication Systems, ICCBDCS 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages85-92
Number of pages8
ISBN (Electronic)9798331591748
DOIs
StatePublished - 2025
Externally publishedYes
Event9th International Conference on Cloud, Big Data and Communication Systems, ICCBDCS 2025 - Manchester, United Kingdom
Duration: 14 Aug 202516 Aug 2025

Publication series

NameProceedings - 9th International Conference on Cloud, Big Data and Communication Systems, ICCBDCS 2025

Conference

Conference9th International Conference on Cloud, Big Data and Communication Systems, ICCBDCS 2025
Country/TerritoryUnited Kingdom
CityManchester
Period14/08/2516/08/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • bi-level programming model
  • multimodal transportation system
  • random user equilibrium allocation model
  • system optimization

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