3 resultados para Econometric methods of discrete choice

em Universidad de Alicante


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We address the optimization of discrete-continuous dynamic optimization problems using a disjunctive multistage modeling framework, with implicit discontinuities, which increases the problem complexity since the number of continuous phases and discrete events is not known a-priori. After setting a fixed alternative sequence of modes, we convert the infinite-dimensional continuous mixed-logic dynamic (MLDO) problem into a finite dimensional discretized GDP problem by orthogonal collocation on finite elements. We use the Logic-based Outer Approximation algorithm to fully exploit the structure of the GDP representation of the problem. This modelling framework is illustrated with an optimization problem with implicit discontinuities (diver problem).

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The purpose of this study is to analyze the existing literature on hospitality management from all the research papers published in The International Journal of Hospitality Management (IJHM) between 2008 and 2014. The authors apply bibliometric methods – in particular, author citation and co-citation analyses (ACA) – to identify the main research lines within this scientific field; in other words, its ‘intellectual structure’. Social network analysis (SNA) is also used to perform a visualization of this structure. The results of the analysis allow us to define the different research lines or fronts which shape the intellectual structure of research on hospitality management.

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El papel del precio en el sector turístico es especialmente complejo debido a la heterogeneidad existente entre los turistas y, por tanto, a las distintas sensibilidades al precio que muestran. En este sentido, el presente trabajo propone la utilización de modelos de elección discreta para identificar las sensibilidades individuales, turista a turista, y, a continuación, utilizar dichas estimaciones como punto de partida para detectar grupos de turistas con una respuesta similar a los precios. La aplicación empírica realizada en el contexto de la Comunidad Valenciana permite detectar tres segmentos: turistas de precio bajo, turistas indiferentes al precio y turistas de precio alto.