75 resultados para 150602 Tourism Forecasting


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In today’s atmosphere of constrained defense spending and reduced research budgets, determining how to allocate resources for research and design has become a critical and challenging task. In the area of aircraft design there are many promising technologies to be explored, yet limited funds with which to explore them. In addition, issues concerning uncertainty in technology readiness as well as the quantification of the impact of a technology (or combinations of technologies), are of key importance during the design process. This paper presents a methodology that details a comprehensive and structured process in which to quantitatively explore the effects of technology for a given baseline aircraft. This process, called Technology Impact Forecasting (TIF), involves the creation of a assessment environment for use in conjunction with defined technology scenarios, and will have a significant impact on resource allocation strategies for defense acquisition. The advantages and limitations of the method are discussed. In addition, an example TIF application, that of an Uninhabited Combat Aerial Vehicle, is presented and serves to illustrate the applicability of this methodology to a military system.

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The book chapter examines the history of New Orleans cemeteries and their popular image, especially in regard to the tourism industry.

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In many environmental valuation applications standard sample sizes for choice modelling surveys are impractical to achieve. One can improve data quality using more in-depth surveys administered to fewer respondents. We report on a study using high quality rank-ordered data elicited with the best-worst approach. The resulting "exploded logit" choice model, estimated on 64 responses per person, was used to study the willingness to pay for external benefits by visitors for policies which maintain the cultural heritage of alpine grazing commons. We find evidence supporting this approach and reasonable estimates of mean WTP, which appear theoretically valid and policy informative. © The Author (2011).

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This article argues that the terrorist bombings of hotels, pubs and nightclubs in Bali in October 2002, and in Mombasa one month later, were inaugural moments in the post-9/11 securitization of the tourism industry. Although practices of tourism and terrorism seem antithetical – one devoted to travel and leisure, the other to political violence – this article argues that their entanglement is revealed most clearly in the counter-terrorism responses that brought the everyday lives of tourists and tourism workers, as well as the material infrastructure of the tourism industry, within the orbit of a global security apparatus waging a ‘war on terror’. Drawing on critical work in international relations and geography, this article understands the securitization of tourism as part of a much wider logic in which the liberal order enacts pernicious modes of governance by producing a terrorist threat that is exceptional. It explores how this logic is reproduced through a cosmopolitan community symbolized by global travellers, and examines the measures taken by the tourism industry to secure this community (e.g. the physical transformations of hotel infrastructure and the provision of counter-terrorism training).

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Wind energy has been identified as key to the European Union’s 2050 low carbon economy. However, as wind is a variable resource and stochastic by nature, it is difficult to plan and schedule the power system under varying wind power generation. This paper investigates the impacts of offshore wind power forecast error on the operation and management of a pool-based electricity market in 2050. The impact of the magnitude and variance of the offshore wind power forecast error on system generation costs, emission costs, dispatch-down of wind, number of start-ups and system marginal price is analysed. The main findings of this research are that the magnitude of the offshore wind power forecast error has the largest impact on system generation costs and dispatch-down of wind, but the variance of the offshore wind power forecast error has the biggest impact on emissions costs and system marginal price. Overall offshore wind power forecast error variance results in a system marginal price increase of 9.6% in 2050.