Examinando por Autor "Divasson Jaureguibarria, Asier"

Mostrando 1 - 5 de 5
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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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    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
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    Cross-generational perceptions on climate change: resolutive insights from youth and elder
    (Universidad del País Vasco = Euskal Herriko Unibertsitatea, 2024) Divasson Jaureguibarria, Asier; Quesada Granja, Carlos; Casado Mansilla, Diego; Cubillo Eguizabal, Iker; Aguayo Mendoza, Armando; Borges Hernández, Cruz E.
    In a world increasingly dominated by conversations about climate change, this research delves deeper, exploring the disconnect between widespread awareness and the implementation of concrete actions to mitigate global warming and adapt to the energy transition. The study investigates this gap by focusing on the concerns of two distinct demographic groups: teenagers and adults. Conceived during the Zientzia Azoka event and developed through other events and sessions, the project actively engaged over 131 participants in a series of workshops. These participants spanned various age groups: 16 individuals under the age of 18, 110 adults between 18 and 65 years old, and 5 adults over 65 years old. The workshops employed qualitative methods, presenting participants with a range of potential climate crisis scenarios encompassing environmental challenges, energy shortages, and mobility restrictions. These scenarios explored situations such as insufficient renewable energy development leading to electricity shortages, extreme weather events causing food scarcity, and disruptions to travel due to fuel shortages. Participants’ responses to these scenarios were then subjected to a process of semi-quantification, enabling a more nuanced analysis of their concerns. The analysis revealed not only a clear awareness of these impending challenges among both teenagers and adults, but also a recognition of the substantial barriers hindering proactive solutions. These barriers encompassed economic constraints, a perceived lack of general awareness about the gravity of the situation, and the ever-evolving social landscape shaped by recent global events like the COVID-19 pandemic and the war in Ukraine. However, amidst these anxieties, a glimmer of hope emerged. Participants identified a potential shift in societal behavior, possibly driven by these very crises. Thematic analysis of their responses revealed a strong emphasis on the crucial role of sufficiency in mitigating climate change. This highlights the importance of reducing consumption and waste rather than solely relying on technological advancements as the solution. Additionally, peer influence was recognized as a significant force in shaping attitudes and behaviors, suggesting a powerful avenue for promoting positive change. The political dimension of climate action also came into sharp focus. Participants demonstrated a sophisticated understanding of the complexities surrounding political processes and the challenges they present. They emphasized the need for clear and effective communication from political leaders, while acknowledging concerns about political motivations and the influence of special interest groups. This underscores the intricate relationship between politics, media, and public perception, highlighting the need for a multi-faceted approach to climate communication.
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    V2G-QUESTS integrating vehicle-to-grid technologies for equitable and sustainable transitions in positive energy districts
    (Universidad del País Vasco = Euskal Herriko Unibertsitatea, 2024) Divasson Jaureguibarria, Asier; Macarulla, Ana María; García Quintanilla, José Ignacio; Borges Hernández, Cruz E.
    The Vehicle to Grid for Equitable Zero-Emission Transitions in positive energy districts (V2G-QUESTS) project is presented as a pioneering and crucial initiative in the context of a fair and equitable digital transition. In a world where technological development faces the challenge of mitigating environmental degradation caused by climate change, V2G-QUESTS stands out in preventing the unequal or harmful development of technologies such as Vehicle-to-Grid (V2G) in urban environments, particularly in socially disadvantaged communities, betting on social equity in the adoption of advanced technologies. The essence of V2G-QUESTS lies in its holistic approach that integrates social sciences to understand how technological innovations impact and are shaped by social, economic, and cultural structures. The project commits to ensuring that the transition to sustainable energy systems and mobility technologies is not only environmentally sustainable but also socially just and accessible to all strata of society. To discern the impact of the urban transition to this new technological model, an urban simulation environment based on Multi-Agent Systems will be developed, which will replicate social behavior at different degrees and case studies across the European territory. This approach allows an interdisciplinary analysis of the interactions and the impact of V2G technology in different social and technical spheres, enabling regional organizations and institutions to adapt to the future needs of their inhabitants. This task involves integrating into a multi-agent system a detailed model of the electrical energy system, as well as a model of daily transportation needs, a model of transportation mode selection that includes driving behavior and the interaction of drivers with V2G technologies, and a model of social impact on the various agents involved. Orchestrating all these models will allow capturing the complexity of the interactions between different agents, such as energy providers, electric vehicle users, and network operators to ensure that the simulations reflect realistic scenarios and provide valuable insights into how users can interact with the V2G system. To achieve these objectives, it is necessary to specify the main characteristics to be embodied in each scenario to be specified, considering the three urban dimensions; society, economy and technical infrastructure. The present study focuses its efforts on specifying these vital characteristics for the specification of the scenarios.