991 resultados para Tourism demand


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This review considers the main tourism policy documents published by the UK Department for Culture, Media & Sport which are explicitly linked with the hosting of the Olympic Games in London in 2012. It reflects on the use of evidence gained from wider events hosting strategies utilized elsewhere, but notes concern about the lack of a coherent marketing theme and the potential to spread the tourism benefits beyond the main event venues. It concludes citing again the oft-noted problem about the links between tourism and wider cultural strategy development.

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This paper investigates applications of complexity theory in the social sphere and considers its potential contribution to enhance understanding of tourism policy making. Five concepts are identified to explore complex social circumstances and human interactions that influence policy. Social applications of complexity suggest a move towards localised and deeper studies to explore the dynamics of policy enactment in context. It suggests complexity theory might be used as a thinking tool to enable a more holistic approach to policy analysis and investigate policy in its context, considering interactions between different policies/programmes, and the implications of human agency.

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This paper investigates the effects of financialisation and functional income distribution on aggregate demand in the USA by estimating the effects of the increase in rentier income (dividends and interest payments) and housing and financial wealth on consumption and investment. The redistribution of income in favour of profits suppresses consumption, whereas the increase in the rentier income and wealth has positive effects. A higher rentier income decreases investment. Without the wealth effects, the overall effect of the changes in distribution on aggregate demand would have been negative. Thus a pro-capital income distribution leads to a slightly negative effect on growth, i.e. the USA economy is moderately wage-led.

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The role of tourism in delivering wider economic legacies is strongly stated in recent national tourism policy documents. The Olympic Games are envisaged to have the legacy impact of ‘4 million extra visitors’ and ‘50,000 extra jobs’ over 4 years (DCMS (2011). Government Tourism Policy, p. 15). This paper considers the nature of Olympic tourism and the possible contribution of the Cultural Olympiad to developing a cultural tourism legacy. It does this by investigating local perceptions of culture and local cultural enactments in the London Borough of Hackney, one of the five boroughs surrounding the Olympic Park. This research shows that local cultural enactments and programming connected to the Olympics are largely motivated by a wider social agenda. They are funded by a wide variety of arts, social and youth programmes and largely reflect initiatives and projects that were already in place in the Borough. While there is an acceptance that cultural events might stimulate the visitor economy, specific discourses around ‘tourism’ and ‘tourists’ are not expressed by the people engaged in the local process.

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Regeneration proposals typically seek to use a range of physical, economic and social initiatives to tackle inequality and improve areas. Often they attempt to change the image of places, making them more attractive to tourists, investors, and residents. The role of tourism in these regeneration processes is complex and contested. Tourism elements are often not well understood by decision-makers and sometimes create tensions with wider social regeneration aspirations. Using concepts from complexity theory, this paper interrogates the relationship between tourism and wider regeneration aspirations connected with the 2012 Olympic Games. It uses complexity theory to explore the context within which policies are developed, and the relationships between different policy initiatives. Both are highly complex, constantly evolving and sometimes ambiguous. It argues complexity concepts might be used to help to develop deeper understanding of the relationships between tourism and regeneration.

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Finding the balance between economic development and preservation of the natural environment is a challenging yet important task. This is a particularly pressing issue in the case of China, as it is the largest and fastest-growing market for tourism. The purpose of this research is to examine Chinese tourists’ participation in nature-based, tourism activities by incorporating tourists’ environmental concern, measured by a revised New Environmental Paradigm (NEP) scale, into a tourism constraint-negotiation model. The responses of 409 Chinese tourists show environmental concern will positively affect tourists’ motivation, which, in turn, will affect their negotiation strategy and ultimately their participation behavior. The theoretical and managerial implications of this study are discussed in the context of the tourism literature.

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Power systems have been suffering huge changes mainly due to the substantial increase of distributed generation and to the operation in competitive environments. Virtual power players can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Resource management gains an increasing relevance in this competitive context, while demand side active role provides managers with increased demand elasticity. This makes demand response use more interesting and flexible, giving rise to a wide range of new opportunities.This paper proposes a methodology for managing demand response programs in the scope of virtual power players. The proposed method is based on the calculation of locational marginal prices (LMP). The evaluation of the impact of using demand response specific programs on the LMP value supports the manager decision concerning demand response use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus network with intensive use of distributed generation.

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The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.

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In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. Grid operators and utilities are taking new initiatives, recognizing the value of demand response for grid reliability and for the enhancement of organized spot markets’ efficiency. This paper proposes a methodology for the selection of the consumers that participate in an event, which is the responsibility of the Portuguese transmission network operator. The proposed method is intended to be applied in the interruptibility service implemented in Portugal, in convergence with Spain, in the context of the Iberian electricity market. This method is based on the calculation of locational marginal prices (LMP) which are used to support the decision concerning the consumers to be schedule for participation. The proposed method has been computationally implemented and its application is illustrated in this paper using a 937 bus distribution network with more than 20,000 consumers.

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The design and development of simulation models and tools for Demand Response (DR) programs are becoming more and more important for adequately taking the maximum advantages of DR programs use. Moreover, a more active consumers’ participation in DR programs can help improving the system reliability and decrease or defer the required investments. DemSi, a DR simulator, designed and implemented by the authors of this paper, allows studying DR actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. DemSi considers the players involved in DR actions, and the results can be analyzed from each specific player point of view.