992 resultados para Special events


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This research project set out to explore Unitary Authority (UA) involvement in festivals and special events across Wales. It considers the level and nature of UA involvement and investigates activity by event purpose; reasons for, and characteristics of, UA engagement; and, crucially, the extent and nature of event evaluation. The study’s aim was to begin the development of a baseline of information for further research into the growing use of festivals and special events as a strategy for local economic development in Wales. A quantitative survey approach facilitated a comprehensive snapshot of UA responses whilst also incorporating discursive elements. A telephone survey was designed and undertaken with representatives of all 22 UA departments responsible for festivals and events in Wales. The research reveals a significant level of festival and special event activity across Wales, supported primarily for its perceived socio-cultural value. However, evaluation would appear to be focused on improving processes and measuring economic outputs rather than assessing whether socio-cultural objectives are being achieved. Whilst overwhelmingly positive about efforts to improve approaches to evaluation, respondents held clear views about the complications most likely to hamper any such efforts. These responses focused upon the need for flexibility, cost effectiveness and comparability across festival and special event typologies.

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Learning Objectives
On completion of this chapter; thereader will
• Define special events and understand the role of special events in the
nonprofit sector
• Describe the different types of nonprofit events
• Describe the factors that influence the objectives of special events
• Understand the issues involved in producing special events
• Understand the risks associated with hosting special events
• Describe the procedures involved in managing special events
• Understand the importance of marketing and public relations for special events in the nonprofit sector

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Purpose – Relatively little is known about marketing communications within the context of special events. The aim of this paper is to begin to address this gap in knowledge by analysing managerial practice, consumer perceptions and preferences in relation to marketing communications for this market offering.
Design/methodology/approach – A case study analysis of Festival Melbourne 2006 was undertaken using marketing communications collateral, ethnographic (participant observations) and interview (in-depth and focus group) data.
Findings – A centralised approach to marketing communications was adopted for this event, but was difficult to implement. In addition, it was found that the marketing communications in situ did not assist attendees to make the most of their event experiences. It was also found that research participants prefer to receive information about special events passively.
Practical implications – With the increasing levels of globalisation and standardisation in the event sector there is a need to attain a balance between centralisation and adaptation in relation to marketing communications strategies and their implementation. Furthermore, it is imperative that marketing communications are integrated across all stages of consumption.
Originality/value – This study adds to the body of knowledge about marketing communications, and more generally within events. It also adds to the debate surrounding the integration of marketing communications.

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Title from cover.

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The contemporary directions of art galleries worldwide are changing as social patterns and demands, as well as visitor expectations of their experiences at art galleries, change. New programs and strategies are being developed in galleries to make these institutions more appealing to people who would not normally visit them, and one such strategy is the staging of special events. However, because galleries are staging an increasing number of special events, the factors motivating visitors to attend these institutions are changing. Visitors hope to have different experiences and encounters in the gallery during special events. This paper presents the findings from a study in Australia about visitors’ motivations to attend special events in galleries. It highlights the different factors that motivate visitors to attend the gallery specifically for a special event in comparison to visiting the gallery's permanent collections.

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In China in particular, large, planned special events (e.g., the Olympic Games, etc.) are viewed as great opportunities for economic development. Large numbers of visitors from other countries and provinces may be expected to attend such events, bringing in significant tourism dollars. However, as a direct result of such events, the transportation system is likely to face great challenges as travel demand increases beyond its original design capacity. Special events in central business districts (CBD) in particular will further exacerbate traffic congestion on surrounding freeway segments near event locations. To manage the transportation system, it is necessary to plan and prepare for such special events, which requires prediction of traffic conditions during the events. This dissertation presents a set of novel prototype models to forecast traffic volumes along freeway segments during special events. Almost all research to date has focused solely on traffic management techniques under special event conditions. These studies, at most, provided a qualitative analysis and there was a lack of an easy-to-implement method for quantitative analyses. This dissertation presents a systematic approach, based separately on univariate time series model with intervention analysis and multivariate time series model with intervention analysis for forecasting traffic volumes on freeway segments near an event location. A case study was carried out, which involved analyzing and modelling the historical time series data collected from loop-detector traffic monitoring stations on the Second and Third Ring Roads near Beijing Workers Stadium. The proposed time series models, with expected intervention, are found to provide reasonably accurate forecasts of traffic pattern changes efficiently. They may be used to support transportation planning and management for special events.

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In China in particular, large, planned special events (e.g., the Olympic Games, etc.) are viewed as great opportunities for economic development. Large numbers of visitors from other countries and provinces may be expected to attend such events, bringing in significant tourism dollars. However, as a direct result of such events, the transportation system is likely to face great challenges as travel demand increases beyond its original design capacity. Special events in central business districts (CBD) in particular will further exacerbate traffic congestion on surrounding freeway segments near event locations. To manage the transportation system, it is necessary to plan and prepare for such special events, which requires prediction of traffic conditions during the events. This dissertation presents a set of novel prototype models to forecast traffic volumes along freeway segments during special events. Almost all research to date has focused solely on traffic management techniques under special event conditions. These studies, at most, provided a qualitative analysis and there was a lack of an easy-to-implement method for quantitative analyses. This dissertation presents a systematic approach, based separately on univariate time series model with intervention analysis and multivariate time series model with intervention analysis for forecasting traffic volumes on freeway segments near an event location. A case study was carried out, which involved analyzing and modelling the historical time series data collected from loop-detector traffic monitoring stations on the Second and Third Ring Roads near Beijing Workers Stadium. The proposed time series models, with expected intervention, are found to provide reasonably accurate forecasts of traffic pattern changes efficiently. They may be used to support transportation planning and management for special events.

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Due to the variability of wind power, it is imperative to accurately and timely forecast the wind generation to enhance the flexibility and reliability of the operation and control of real-time power. Special events such as ramps, spikes are hard to predict with traditional methods using solely recently measured data. In this paper, a new Gaussian Process model with hybrid training data taken from both the local time and historic dataset is proposed and applied to make short-term predictions from 10 minutes to one hour ahead. A key idea is that the similar pattern data in history are properly selected and embedded in Gaussian Process model to make predictions. The results of the proposed algorithms are compared to those of standard Gaussian Process model and the persistence model. It is shown that the proposed method not only reduces magnitude error but also phase error.

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This article presents the findings from research undertaken within a conceptual framework that included personal values, satisfaction and post-consumption behavioural intentions. The findings of a quantitative study (n = 354) conducted at a theatre-event indicate that attendees who were more inclined to place importance on their 'connectedness' with others were generally more satisfied with their attendance overall and with most of the attributes of the special event that were measured. Similar results were also found for attendees' post-con-sumption behavioural intentions; however, other personal value systems, such as that associated with hedonism, also emerged as important. These results can be used by managers and marketers of special events to enhance the special event experience and contribute to the industry's sustainability.