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The paper presents a conceptual approach to modeling transport demand using open indirect data. The proposed methodology allows to evaluate transport demand across a city basing on public demographic and social statistics, road network, city objects, and land use data. As a result, a city transport model is formed that can be used for planning the development of transport infrastructure, optimizing transport routes and urban infrastructure. The proposed method is more economically efficient compared to traditional methods, such as surveys or field observations. The paper is intended to initiate discussion and further research by specialists in the field of transport modeling, as well as for anyone interested in the issues of transport infrastructure development.

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Approach to Transport Demand Modeling Using Open Data

  • 会议论文

  • 发表日期：

    2025年

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  • Egor Loktev,
  • Alika Sarbassova,
  • Polina Ryaboshlyk

摘要

The paper presents a conceptual approach to modeling transport demand using open indirect data. The proposed methodology allows to evaluate transport demand across a city basing on public demographic and social statistics, road network, city objects, and land use data. As a result, a city transport model is formed that can be used for planning the development of transport infrastructure, optimizing transport routes and urban infrastructure. The proposed method is more economically efficient compared to traditional methods, such as surveys or field observations. The paper is intended to initiate discussion and further research by specialists in the field of transport modeling, as well as for anyone interested in the issues of transport infrastructure development.