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Item type:Publication, Scopus© Citations 1 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The impact of electromobility in public transport: An estimation of energy consumption using disaggregated data in Santiago, Chile(2024); Brian VidalScopus© Citations 23 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile(2023)9Scopus© Citations 15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 3Scopus© Citations 34 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 2Scopus© Citations 32 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile(2023)Scopus© Citations 27 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The impact of bus punctuality on users’ decisions and welfare(2022); Eusebio Vargas-EstradaScopus© Citations 9 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Linking social preferences and ocean acidification impacts in mussel aquaculture(2019); ; José I. Hernández<jats:title>Abstract</jats:title><jats:p>Ocean Acidification (OA) has become one of the most studied global stressors in marine science during the last fifteen years. Despite the variety of studies on the biological effects of OA with marine commercial species, estimations of these impacts over consumers’ preferences have not been studied in detail, compromising our ability to undertake an assessment of market and economic impacts resulting from OA at local scales. Here, we use a novel and interdisciplinary approach to fill this gap. We experimentally test the impact of OA on commercially relevant physical and nutritional attributes of mussels, and then we use economic discrete choice models to assess the marginal effects of these impacts over consumers’ preferences and wellbeing. Results showed that attributes, which were significantly affected by OA, are also those preferred by consumers. Consumers are willing to pay on average 52% less for mussels with evidences of OA and are willing to increase the price they pay to avoid negative changes in attributes due to OA. The interdisciplinary approach developed here, complements research conducted on OA by effectively informing how OA economic impacts can be analyzed under the lens of marginal changes in market price and consumer’ welfare. Thereby, linking global phenomena to consumers’ wellbeing, and shifting the focus of OA impacts to assess the effects of local vulnerabilities in a wider context of people and businesses.</jats:p>25 1Scopus© Citations 27 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exploring the Roles of Local Mobility Patterns, Socioeconomic Conditions, and Lockdown Policies in Shaping the Patterns of COVID-19 SpreadThe COVID-19 crisis has shown that we can only prevent the risk of mass contagion through timely, large-scale, coordinated, and decisive actions. This pandemic has also highlighted the critical importance of generating rigorous evidence for decision-making, and actionable insights from data, considering further the intricate web of causes and drivers behind observed patterns of contagion diffusion. Using mobility, socioeconomic, and epidemiological data recorded throughout the pandemic development in the Santiago Metropolitan Region, we seek to understand the observed patterns of contagion. We characterize human mobility patterns during the pandemic through different mobility indices and correlate such patterns with the observed contagion diffusion, providing data-driven models for insights, analysis, and inferences. Through these models, we examine some effects of the late application of mobility restrictions in high-income urban regions that were affected by high contagion rates at the beginning of the pandemic. Using augmented synthesis control methods, we study the consequences of the early lifting of mobility restrictions in low-income sectors connected by public transport to high-risk and high-income communes. The Santiago Metropolitan Region is one of the largest Latin American metropolises with features that are common to large cities. Therefore, it can be used as a relevant case study to unravel complex patterns of the spread of COVID-19.11 1Scopus© Citations 9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Accessibility to opportunities based on public transport gps-monitored data: The case of Santiago, Chile(2020)Scopus© Citations 29 1