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Item type:Publication, Accessibility and the ‘everyday mobility–work–household’ triad: An exploration during the COVID-19 crisis in low-income peripheries of Lima and Bogotá(Taylor & Francis, 2024-03-22)How do people make decisions on where, when, and how to commute? And how did the pandemic crisis affect their commuting patterns? Based on exploratory interviews in Lima and family chronicles collected in Bogotá during 2020; and a second round of interviews in six low-income areas in the peripheries of these two cities during 2021, this article offers a panoramic view of the changes experienced in low-income neighbourhoods and their families during these recent years of pandemic. These changes bring to light the role of intra-household arrangements regarding mobility and accessibility. We suggest that mobility and accessibility can better be understood on a more systemic level (influenced by intra-household arrangements), as a collective phenomenon (based on the household’s resources and the household’s needs), and even as a collective decision-making process. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mobility as an Expression of the Urbicide: The Risks of Transport Modernization in Latin American Metropolises(Springer Science and Business Media Deutschland GmbH, 2023-01-01)This chapter reflects on the concept of Urbicide by analyzing experiences of inequality in daily mobility in metropolises throughout Latin America. It appears that despite allowing for improvements, contemporary transformations (particularly under the discourse of sustainable mobility) also have negative effects, either unwanted or not, that marginalize certain population groups. Three phenomena (or forms of Urbicide) are highlighted in this chapter: the deficiencies of large infrastructure projects in terms of costs, effectiveness, and coverage; the implications of the formalization of informal modes of transport; and finally, the forms of exclusion in the promotion of active mobility. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evolutionary multi-objective multi-agent deep reinforcement learning for sustainable maintenance scheduling(Elsevier BV, 2025-05-26)In recent years, sustainability has emerged as a major priority for businesses across various industries, and the manufacturing sector is no exception. Production and maintenance processes now need to be economically profitable while also adopting practices that adhere to the principles of environmental integrity and social responsibility. This article explores an innovative approach aimed at optimizing maintenance scheduling from an economic perspective (considering maintenance, breakdown, downtime costs), an environmental perspective (considering the carbon footprint produced during production) and a social perspective (considering the fatigue experienced by technicians during maintenance activities). To the best of our knowledge, this is the first study to propose a manufacturing scheduling approach that considers all three pillars of sustainability. Another significant contribution of this research is the innovative way in which the optimization problem is addressed. We propose an evolutionary multi-objective multi-agent Deep Q-network-based approach, where multiple agents explore the preference space to maximize the hypervolume of these sustainable objectives. Our methodology uses industrially representative data that incorporate realistic machine degradation signals, carbon intensity indicators, and technician constraints. The results demonstrate the trade-offs between these objectives when compared to traditional maintenance policies such as corrective and condition-based maintenance, as well as different Deep Q-network policies trained with various preferences. Our approach demonstrates superior performance compared to both baselines. Specifically, we observe an 11.6% improvement in hypervolume over Deep Q-network and an 18.9% improvement over Proximal Policy Optimization, resulting in significantly increased profitability within the system.7