Abstract
This chapter develops a general framework to analyze urban transportation dynamics. This allows planners and decision makers to model urban transportation system according to the instrumental view of performance and the feedback relationships that link the key modules to one another. These are: travel demand, transport supply, travel mode choice, the economy, and the population. Each module is analyzed in depth, and various examples are provided to explain the criteria that should be followed when adapting the general framework to the urban system analyzed.
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Notes
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These documents include: “Enmodo: Encuesta de movilidad domiciliaria, 2009-2010”; “Intrupuba: Investigaciòn de transporte urbano de Buenos Aires”; “Observatorio de Movilidad Urbana - Información disponible en línea, 2007”; “Comisión Nacional de Regulación del Transporte (CNRT). Red ferroviaria argentina, Informe estadístico 2010-2011”; “Academia Nacional de Ingeniería. Accesos a la Región Metropolitana de Buenos Aires. El transporte ferroviario y los subterraneos, 2011”.
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The alternative investment options’ costs were estimated in the project: P. Bereciartua and D. Vereertbrugglen, C. Logascio, L. De Caro (2012), Proyecto “RMN + Territorio Inteligente” - Bereco SA winner of the “Concurso de Ideas – Proyecto “Soluciones para el transporte en el Corredor Norte de la Región Metropolitana Buenos Aires” organize by the four municipalities of the RMN (Vicente Lopez, San Isidro, San Fernando and Tigre) and the Fundación Metropolitana.
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According to a relativist/holistic approach, “[n]o particular representation is superior to others in any absolute sense, although one could prove to be more effective. No model can claim absolute objectivity, for every model carries in it the modeler’s worldview. Models are not true or false, but lie on a continuum of usefulness” (Barlas and Carpenter 1990, p. 187).
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Noto, G. (2020). Modelling Urban Transportation System Through Dynamic Performance Management. In: Strategic Planning for Urban Transportation. System Dynamics for Performance Management & Governance, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-36883-8_4
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