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Item type:Publication, Impact of urban facilities spatial inequality on sustainable travel mode(2024); ;Luz Flórez-Calderón ;Yasna Cortés; Marcelo Lufin<jats:p>With the implementation of sustainable development objectives in developing countries, urban planning, land use regulation, and urban mobility policies are expected to help reduce inequalities in access to urban facilities. Urban transport policies are also expected to encourage travel by non-motorised modes and public transport. These are considered to be the sustainable modes of urban transport. In this paper, we investigate how inequality of urban facilities impacts trips made by sustainable modes in the city of Santiago de Chile. We use a Poisson regression model and its geographical extension, the geographically weighted Poisson regression model (GWPR). The results suggest that the inequality of urban facilities impacts trips made by sustainable modes. The variables with the highest relevance are the spatial distribution of mixed land use, the spatial distribution of urban services related to transport infrastructure, primary and secondary education, as well as the spatial distribution of demographic variables related to people’s life cycle.</jats:p>Scopus© Citations 1 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimizing the wine transportation process from bottling plants to ports(2023) ;Franco Basso ;Juan Pablo Contreras ;Raúl Pezoa ;Alejandro TroncozoScopus© Citations 2 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparing allocation and relocation policies at a logistics service container terminal: a discrete-event simulation approach(2023) ;JUAN PABLO CAVADA HERRERA ;Cristián E. CortésPablo A. Rey5Scopus© Citations 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Characterizing Transport Perception using Social Media(2019) ;Paula Vasquez-Henriquez ;Graells Garrido, EduardoDiego CaroScopus© Citations 6 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Adoption-Driven Data Science for Transportation Planning: Methodology, Case Study, and Lessons Learned(2020) ;Eduardo Graells-Garrido ;Vanessa Peña-ArayaThe rising availability of digital traces provides a fertile ground for data-driven solutions to problems in cities. However, even though a massive data set analyzed with data science methods may provide a powerful and cost-effective solution to a problem, its adoption by relevant stakeholders is not guaranteed due to adoption barriers such as lack of interpretability and interoperability. In this context, this paper proposes a methodology toward bridging two disciplines, data science and transportation, to identify, understand, and solve transportation planning problems with data-driven solutions that are suitable for adoption by urban planners and policy makers. The methodology is defined by four steps where people from both disciplines go from algorithm and model definition to the development of a potentially adoptable solution with evaluated outputs. We describe how this methodology was applied to define a model to infer commuting trips with mode of transportation from mobile phone data, and we report the lessons learned during the process.Scopus© Citations 6 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Compliance with the smoking ban in urban public
transportation in Chile(2020); ;Xaviera Molina; ;Oscar Urrejola1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Toward An Interdisciplinary Methodology to Solve New (Old) Transportation Problems(2020) ;Eduardo Graells-garridoVanessa Peña-ArayaScopus© Citations 1 1