Examinando por Autor "Divasson Jaureguibarria, Asier"

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    Agent-based modeling in urban human mobility: a systematic review
    (Elsevier Ltd, 2025-03) Divasson Jaureguibarria, Asier; Macarulla, Ana María; García Quintanilla, José Ignacio; Borges Hernández, Cruz E.
    Urban mobility is a complex system influenced by various factors such as infrastructure, technology, and human behavior. Agent-based modeling (ABM) has emerged as a valuable tool for simulating and understanding urban mobility dynamics. This paper provides a comprehensive review of ABM applications in urban human mobility, offering insights into prevailing trends in this field. The analysis of model scales highlights the predominance of area and city scales, highlighting the need for greater exploration at the intersection, metropolis, and street scales. Furthermore, the examination of technological environments shows a reliance on desktop and laptop computers, complemented by a growing adoption of specialized ABM tools such as SUMO, Anylogic, NetLogo, GAMA, and MATSim. Additionally, the study correlates ABM objectives with societal needs, revealing areas of alignment and gaps. While competitiveness and smart mobility receive considerable attention, there is a pronounced lack of focus on improving urban accessibility, sustainability, and public health. The analysis underscores the importance of addressing these gaps to ensure that ABM applications contribute effectively to addressing societal challenges.
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    Analysis of the applicability and results of swarm intelligence tools for the positioning of Energy Storage Systems
    (Elsevier Ltd, 2024-12) Divasson Jaureguibarria, Asier; Aranzabal Santamaria, Itxaso; Bedialauneta Landaribar, Miren Terese; Castillo Aguirre, Paula
    The integration of renewable energy is transforming traditional energy systems, blurring the distinction between producers and consumers and shifting towards a distributed grid network. This change demands innovative approaches to optimize Energy Storage Systems (ESS) and manage grid incidents efficiently, all without significant infrastructural changes. While optimization algorithms like Swarm Intelligence are gaining traction, critical aspects, such as worst-case scenario analysis in distribution networks, remain underexplored. This study addresses this gap by applying stochastic optimization techniques to determine the optimal placement and capacity of ESS in a medium voltage radial distribution system, using the IEEE 33-bus model. The findings highlight the importance of considering worst-case scenarios, offering a balanced evaluation of current methodologies. This research provides valuable insights for improving system flexibility and resilience, contributing to more effective and practical energy optimization strategies in real-world applications.
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    Ítem
    Climate change from B to Z: a cross-generational perception study in Spain
    (Frontiers Media SA, 2025) Divasson Jaureguibarria, Asier; Aguayo Mendoza, Armando; Quesada Granja, Carlos; Casado Mansilla, Diego; Borges Hernández, Cruz E.
    In the context of increasing climate concerns, this study explores generational perceptions and responses to potential climate-induced crises through a workshop and survey methodology. The aim of this study is to understand how different age groups view and react to extreme climate scenarios and evaluate their proposed actions and attitudes toward climate change mitigation. This study investigates generational perceptions and responses to climate change through a dual-format workshop and survey, conducted both in person and online. The methodological approach involved presenting respondents with a range of apocalyptic scenarios resulting from climate change, including electricity shortages, reduced food production, fuel scarcity, inadequate home heating, drought, and raw material shortages. These scenarios aimed to assess respondents’ awareness, concern, and proposed actions in response to potential future crises. The survey, administered via the Prolific platform, and workshops, held at the “Zientzia Azoka” science fair and online, gathered data from 153 participants across four generational cohorts, namely, Baby Boomers, Generation X (Gen X), Millennials, and Generation Z (Gen Z). The analysis revealed distinct generational differences in attitudes toward societal responsibility and action. Baby Boomers emphasized community responsibility over formal regulations, showing a preference for moral and ethical accountability rather than legislative action. Generation X displayed balanced responses, with tendencies toward valuing education and long-term stability. Millennials were more likely to emphasize the role of authorities and formal governance in addressing societal issues, reflecting their reliance on structured systems. In contrast, Generation Z showed a strong inclination to hold companies accountable, often associating responsibility with corporate entities, and were more vocal about behavioral changes and restrictions to drive progress. The study underscores significant generational differences in climate change perceptions and actions, highlighting a trend toward increasing demand for climate action and growing distrust in institutions. These insights suggest the need for inclusive, generationally tailored climate policies with a focus on education and systemic change. Future research should explore the relationship between sustainable consumption and economic vulnerability, addressing how financial constraints impact individuals’ ability to adopt sustainable practices