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The design of efficient public transportation systems is one of the main concerns for city administrators. These systems are usually very costly, and cities have to devote a significant portion of their public budgets to ensure the quality of service. Thus, cost reduction is a relevant issue, in particular in the case of developing countries. On top of that, an increasingly relevant goal is the environmental sustainability of the system. In this contribution we address these two goals, studying them in the case of Bahía Blanca, a city in southern Argentina. We develop a procedure to gather data from the smart cards of users of the system to compute a system's Origin–Destination matrix (OD).

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Data Mining to Build the OD Matrix in Developing Countries: Preliminary Analysis in an Argentinean Case Study

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  • 发表日期：

    2025年

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  • Mariano Frutos,
  • Diego Rossit,
  • Fabio M. Miguel,
  • Antonella Cavallin

摘要

The design of efficient public transportation systems is one of the main concerns for city administrators. These systems are usually very costly, and cities have to devote a significant portion of their public budgets to ensure the quality of service. Thus, cost reduction is a relevant issue, in particular in the case of developing countries. On top of that, an increasingly relevant goal is the environmental sustainability of the system. In this contribution we address these two goals, studying them in the case of Bahía Blanca, a city in southern Argentina. We develop a procedure to gather data from the smart cards of users of the system to compute a system's Origin–Destination matrix (OD).