White-box flight simulator built with system dynamics to support urban transportation decision-making and address induced travel demand


Authors

DOI:

https://doi.org/10.22517/23447214.23381

Keywords:

Induced travel demand, System dynamics, Flight simulator, Decision making, Traffic congestion

Abstract

Induced Travel Demand is a phenomenon (ITD) wherein building new road infrastructure increases private car use. ITD has been measured and corroborated through econometric models that give an account of how much travel demand can be induced after road construction. The latter without claims of causality in their inner structure (black-box approach). Beyond the contributions of black-box models, it is still needed to explain structurally ITD for understanding and identifying its causes. Thus, this approach allows policy-makers to design comprehensive policies to deal with ITD in urban context wherein new roads are still needed to guarantee connectivity. In this paper, we present a white-box flight simulator based on a System Dynamics model to support urban transportation decision-making and address ITD. Through the simulator developed, it is possible to improve the causal understanding of ITD. Besides, although the considered policies to intervene in this phenomenon have a conceptual connotation, the simulator is a means to acquire knowledge of structural complexity underlying the interaction between the policies and ITD.

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Author Biography

Juan Sebastian Angarita Zapata, University of Deusto

is a Marie-Curie COFUND Fellow and PhD candidate at the Faculty of Engineering at the University of Deusto, Bilbao, Av. de las Universidades 48007

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Published

2020-09-30

How to Cite

Angarita Zapata, J. S., Andrade Sosa, H. H., & Masegosa Arredondo, A. D. (2020). White-box flight simulator built with system dynamics to support urban transportation decision-making and address induced travel demand. Scientia Et Technica, 25(3), 438–447. https://doi.org/10.22517/23447214.23381

Issue

Section

Sistemas y Computación