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Author: search.filters.author.Jorge Vargas FlorezSubject: search.filters.subject.Resilience

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    Resiliencia en el Estado, la sociedad, la política y la urbe. Algunas reflexiones
    (Pontificia Universidad Católica del Perú. Instituto de la Naturaleza, Tierra y Energía (INTE-PUCP), 2022)
    This chapter refers to resilience, a term that is simultaneously considered as a goal, a means, and a capacity, depending on the discipline of study used. A construct is proposed for its development, “search for excellence in work performance”. It analyses transition to achieving resilience in the Government, Society, Politics and Urbanism with intersections in the implications that are visible and necessary after two hundred years of republican life in Peru as a path for reflection, discussion, and evaluation. The paper ends by presenting the limitations that resilience has as a means of transformation when the return to a previous state of a disruptive event is not an option.
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    Control Theory and Bayesian Networks for Black Spots Study
    (Institute of Electrical and Electronics Engineers Inc., 2025-01-01)
    Traffic accidents are recurring ordinary disruptive events in an urban road network. To measure the performance and recovery of an urban road network, it is necessary to identify and predict the locations on the network where they occur. The application of control theory to identify black spots has mainly focused on interstate and inter-regional highways. However, there is limited literature on the application of these theories to urban road networks and in the definition of black spots. This article introduces an innovative methodology for defining black spots based on control theory, which is adapted to urban road networks with appropriate measurement metrics that prove more suitable than those used following Euclidean norms. To predict whether a traffic accident occurs at a black spot, a Bayesian network is employed, which also indicates the reliability of the accident classification result. It demonstrates better efficiency than methodologies based on logistic regression and Naive Bayes, which is why this algorithm is chosen. The article concludes by measuring the impact of the most significant black spots in an urban road network in Metropolitan Lima, using the concept of transport resilience.
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