Aiming for the realization of a better public transportation system.
Social Infrastructure (Saitama University Research Seed Collection 2025-27 p.9)
Keywords: Public transportation, network design, facility layout planning, optimization
In addition to the advancement of motorization, the spread of online services, population decline, and rising labor costs have put Japan's public transportation in a difficult management situation. On the other hand, considering factors such as aging, its importance as regional infrastructure is actually increasing. In this context, I am researching how to clarify a better form of public transportation for the community, focusing on the public transport network and fare setting. I believe that it is essential to consider not only high convenience but also how the operating costs of public transportation should be borne by users and the community. By creating optimization models based on mathematical programming and conducting theoretical and numerical analyses, I aim to elucidate the strategies necessary for making regional public transportation sustainable. Public transportation is facing a period of dramatic change, and local residents, municipalities, and transportation operators are being forced to make various difficult choices, including decisions about survival or discontinuation. In this regard, I hope that the optimal strategies elucidated in this research will assist in guiding appropriate choices.
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Atsushi Sugama, Assistant Professor Graduate School of Science and Engineering, Department of Environmental Social Infrastructure, Field of Environmental Planning 【Recent Research Themes】 ● Optimization focusing on public transportation networks, fares, and frequency of operation ● Simultaneous optimization of public transportation and various facility placements ● The impact of the proliferation of flying cars on national land structure ● Optimal renewal strategies for cities ● Understanding urban structure using machine learning
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【Appeal Points to the Industry】 ● It is characterized by the simultaneous mathematical optimization of public transportation networks and fares. ● Additionally, we are exploring the use of machine learning and other technologies. 【Examples of Practical Application, Case Studies, and Utilization】 ● We aim to be utilized in the consideration of regional public transportation planning.
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Example of calculating the optimal bus network.
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The Saitama University Open Innovation Center is a center that functions as a liaison office for industry-academia-government collaboration. It consists of three departments: the Industry-Academia-Government Collaboration Department, the Intellectual Property Department, and the Startup Support Department, each staffed with coordinators well-versed in various fields. The center's activities include solving technical challenges in companies, supporting the implementation of joint research, and conducting technology transfer aimed at introducing and utilizing Saitama University's intellectual property.