754. Optimal Multimodal Public Transportation Network Design Considering Population Density and Distribution
Invited abstract in session WD-59: Urban Mobility II, stream Transportation.
Wednesday, 14:30-16:00Room: Liberty 1.14
Authors (first author is the speaker)
| 1. | Masao Takeuchi
|
| Degree Programs in Systems and Information Engineering, University of Tsukuba | |
| 2. | Tsutomu Suzuki
|
| Institute of Systems and Information Engineeing, University of Tsukuba |
Abstract
Urban public transportation systems typically consist of multimodal networks, including high-cost but fast railways and low-cost but slower bus services. Travelers choose optimal routes within these networks, yet few studies have comprehensively analyzed the impact of introducing multiple transportation modes and optimizing their combinations based on population density and distribution. This study aims to minimize costs for both operators and users while examining the effects of multimodal integration and optimal mode sharing. We formulate the problem of configuring transit modes to minimize total costs as a mixed-integer programming model and solve it for hypothetical cities using genetic algorithms and simulated annealing. The key findings of this study are as follows: First, the total transportation cost can be reduced by integrating multiple transit modes. Second, introducing a high-speed transit mode in the city center leads to the aggregation of travel corridors. Third, in cities with dispersed populations, suburban users experience increased costs, while the central transportation network becomes less dense. These results provide fundamental insights into the optimal design of multimodal public transportation systems based on regional characteristics.
Keywords
- Transportation
- Network Design
- Location
Status: accepted
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