963 resultados para LAN houses
Resumo:
El presente trabajo de investigación tiene como objetivo conocer la oferta y demanda del mercado turístico emisivo hacia Bolivia desde la ciudad de Cuenca, con la finalidad de fomentar el turismo hacia nuevos destinos, enfocado principalmente en las ciudades de: La Paz y Santa Cruz de la Sierra, con la ruta que ofrece la aerolínea LAN hacia estos destinos. Para el desarrollo de la tesis se investigó el comportamiento de los pasajeros que deciden comprar los boletos en las oficinas de LAN, y las particularidades de las agencias de viajes que tienen convenio con la mencionada aerolínea, con la finalidad de determinar si existe un potencial mercado emisivo en la ciudad de Cuenca que esté dispuesto a visitar Bolivia; los resultados que se obtuvieron en este análisis definenprincipalmente la oferta y la demanda actual; adicionalmente se obtuvo la información necesaria de las agencias de viajes para informar y capacitar a los agentes de viajes, sobre los diferentes atractivos turísticos y sitios de interés con los que cuenta Bolivia; en base de toda ésta información, se propone la creación de diferentes paquetes con alternativas de turismo para los pasajeros en la ciudad de Cuenca. El aporte que se suministra con el desarrollo de ésta investigación, principalmente a las agencias de viajes y promotores turísticos es el de demostrar que se pueden ofertar lugares nuevos, que aún no han sido explotados en el mercado emisivo de la ciudad de Cuenca, para que no se limiten únicamente a competir por los productos de siempre previamente estructurados y saturados.
Resumo:
Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to terrorist locations such as safe-houses (rather than their targets or training sites) are rare and possibly nonexistent. At the time of this research, there were no publically available models designed to predict locations where violent extremists are likely to reside. This research uses France as a case study to present a complex systems model that incorporates multiple quantitative, qualitative and geospatial variables that differ in terms of scale, weight, and type. Though many of these variables are recognized by specialists in security studies, there remains controversy with respect to their relative importance, degree of interaction, and interdependence. Additionally, some of the variables proposed in this research are not generally recognized as drivers, yet they warrant examination based on their potential role within a complex system. This research tested multiple regression models and determined that geographically-weighted regression analysis produced the most accurate result to accommodate non-stationary coefficient behavior, demonstrating that geographic variables are critical to understanding and predicting the phenomenon of terrorism. This dissertation presents a flexible prototypical model that can be refined and applied to other regions to inform stakeholders such as policy-makers and law enforcement in their efforts to improve national security and enhance quality-of-life.
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Cover contains The Dragon Fly up
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Cover contains The Dragon Fly up
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Cover contains The Dragon Fly up
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Cover contains The Dragon Fly up
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Cover contains The Dragon Fly up
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Cover contains The Dragon Fly up
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Cover contains The Dragon Fly up
