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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Sea-ing Blue: Community Responses to an Eco-Award in Galveston, Texas

Butler, Kristin 08 1900 (has links)
The Blue Flag program is a French international eco-award for beaches, marinas, and tour boats. With a set of 33 criteria required for obtaining the award, the Blue Flag program has sites all over the world, but none in the United States. The American Shore and Beach Preservation Association (ASBPA) sought to change that and provided an opportunity for locations in the U.S. to apply for the award. One of those applicants was the Galveston Island Park Board of Trustees in Galveston, Texas. This thesis focuses on data obtained for the park board through a survey to determine beachgoer support and interest in the Blue Flag program. Data was collected through the use of a survey and ad hoc interviews during the summer of 2021. Examined through various theoretical lenses, the data was analyzed to determine its impacts on the local community, and its relationship with other historical conservation projects. The results for this project were provided through a paper report and presentation on the findings to the client and presented at the ASBPA National Coastal Conference in October of 2021.
2

The influence of Blue Flag status on tourist decision-making in South Africa / Linda-Louise Geldenhuys

Geldenhuys, Linda-Louise January 2014 (has links)
Marine tourism has been growing over the years to a diverse and large industry providing for a variety of markets. Across the world tourists enjoy activities of different types including kayaking, scuba diving, snorkelling, surfing and travelling to beaches for leisure reasons. Travelling to coastal towns with the purpose of visiting a beach has always been a great attraction for people across the world. Not only resulting in beaches becoming one of the tourism industry’s biggest markets but also a great contributor to local economies. In 200,1 South Africa adopted the Blue Flag Programme, a beach award which focuses on clean bathing water and pollution free environments. The programme was first established on the French coastline in Europe by the Foundation for Environmental Education (FEE). Since then 244 beaches and 208 marinas across 10 countries now boast with a Blue Flag award. The award requires beaches to adhere to four sets of criteria. These are water quality, environmental management, environmental education and information and safety and security. The programme also has specific periods allocated to beaches in which the beach has to meet all the stipulated standards.  Previous research has stated that the programme has great drawing power for tourists.  In contrast, other studies revealed that it has no benefits for the tourism industry, whatsoever.  Some studies have stated that it is a symbol of quality recognised by all across the world. The literature review conducted for this study revealed that the programme holds great benefits for conservation of the environment. Seen from a tourism point of view, however, it is still unclear whether the programme benefits the tourism industry or has any impact on it whatsoever. The primary goal of this dissertation is to determine the influence of Blue Flag status on the decision-making process of beach visitors when they select a beach, thereby determining whether or not the Blue Flag programme adds any value to the tourism industry. A literature review was conducted on important aspects concerning this study, namely the Blue Flag Programme, the tourist decision-making process, travel behaviour of tourists and tourist behaviour, to gain insight into the type of research. Thereafter an empirical study was conducted on six beaches in KwaZulu-Natal which involved the distribution of a self-administered questionnaire. The sampling method used for the study was quantitative, probability sampling with systematic sampling which involved the fieldworkers to approach every second person/group of people on the beach. The survey took place from 28 March to 4 April 2013. A total of 572 usable questionnaires was collected from a sample of 600 beach visitors. The data was captured using Microsoft™ Excel™ 2010 and analysed using Statistical Package for Social Sciences (SPSS version 21). Exploratory factor analyses were performed as well as a linear mixed-effect model analysis to analyse the impact of the Blue Flag Programme on tourism. To achieve the goal set for this study, two articles were produced. The aim of chapter 3 (article 1) was to determine the push and pull motives of beach visitors. The results revealed the profile of respondents to be female, married with an average age of 39 years and originating from Gauteng. They have a diploma or degree from a tertiary institute and like to visit the beach for an average of eight nights at a time. To identify the push and pull motives of beach visitors, the travel motives were first identified by means of a principal axis factoring analysis, with Oblimin and Kaiser Normalisation. The aspects yielded three factors, familiarity, family relaxation and escape and beach characteristics. The most important factor was determined to be familiarity. The analysis further revealed two push and two pull motives. The push factors are escape and relaxation (most important push motive) and familiarity. The pull motives are beach attributes (most important pull motive) and cognizance. This article showed that the familiarity of a beach plays an important role as to the motives of beach visitors as well as the fact that visitors to these beaches want to escape and relax away from everyday life. The aim of the chapter 4 (article 2) was to identify the influence of Blue Flag status on visitors’ decision-making when selecting a beach as well as to determine whether any statistically significant differences exist between the visitors to Blue Flag beaches and visitors to non-Blue Flag beaches. A principal axis factoring analysis was conducted to determine the decision-making aspects of beach visitors. This analysis yielded five actors, environmental education, safety and access, cleanliness, landscape and popularity. The most important factor was identified as cleanliness with a mean value of 4.37. Furthermore, a linear mixed-effect model analysis was conducted which identified one statistically significant difference with the factor popularity, which has a p-value of 0.002. No other differences were identified. This study thus found that Blue Flag status does not influence visitors’ decision in selecting a beach. What was interesting was the fact that the aspects which are of importance to beach visitors (such as cleanliness) form part of the criteria on which the programme is based (environmental education and information, environmental management, safety and security and water quality). Thus having Blue Flag status does impact positively on tourism. Since this was the first study of its kind in South Africa, it can benefit all beach destinations in the country. From the findings it is clear that marketing needs to be conducted regarding the Blue Flag programme and the benefits that could be reaped for both the local community and beach visitors. Furthermore, beach management can make use of the motives identified in chapter 3 as well as the decision-making aspects identified in chapter 4 to increase visitor numbers to the beach and gain competitive advantage. Tailor-made marketing strategies can be implemented which will improve the efforts of beach managers and municipalities as well as managers of the Blue Flag Programme to market the programme and raise awareness. Recommendations are made regarding further study on the Blue Flag programme to identify ways in which awareness of the programme amongst the public can be raised. Similar research can also be conducted on other environmental and tourism award systems, such as the Seaside award. This research contributes to the literature on marine tourism, seeing as this was the first time such a study was conducted in a South African setting. / MCom (Tourism Management), North-West University, Potchefstroom Campus, 2014
3

The influence of Blue Flag status on tourist decision-making in South Africa / Linda-Louise Geldenhuys

Geldenhuys, Linda-Louise January 2014 (has links)
Marine tourism has been growing over the years to a diverse and large industry providing for a variety of markets. Across the world tourists enjoy activities of different types including kayaking, scuba diving, snorkelling, surfing and travelling to beaches for leisure reasons. Travelling to coastal towns with the purpose of visiting a beach has always been a great attraction for people across the world. Not only resulting in beaches becoming one of the tourism industry’s biggest markets but also a great contributor to local economies. In 200,1 South Africa adopted the Blue Flag Programme, a beach award which focuses on clean bathing water and pollution free environments. The programme was first established on the French coastline in Europe by the Foundation for Environmental Education (FEE). Since then 244 beaches and 208 marinas across 10 countries now boast with a Blue Flag award. The award requires beaches to adhere to four sets of criteria. These are water quality, environmental management, environmental education and information and safety and security. The programme also has specific periods allocated to beaches in which the beach has to meet all the stipulated standards.  Previous research has stated that the programme has great drawing power for tourists.  In contrast, other studies revealed that it has no benefits for the tourism industry, whatsoever.  Some studies have stated that it is a symbol of quality recognised by all across the world. The literature review conducted for this study revealed that the programme holds great benefits for conservation of the environment. Seen from a tourism point of view, however, it is still unclear whether the programme benefits the tourism industry or has any impact on it whatsoever. The primary goal of this dissertation is to determine the influence of Blue Flag status on the decision-making process of beach visitors when they select a beach, thereby determining whether or not the Blue Flag programme adds any value to the tourism industry. A literature review was conducted on important aspects concerning this study, namely the Blue Flag Programme, the tourist decision-making process, travel behaviour of tourists and tourist behaviour, to gain insight into the type of research. Thereafter an empirical study was conducted on six beaches in KwaZulu-Natal which involved the distribution of a self-administered questionnaire. The sampling method used for the study was quantitative, probability sampling with systematic sampling which involved the fieldworkers to approach every second person/group of people on the beach. The survey took place from 28 March to 4 April 2013. A total of 572 usable questionnaires was collected from a sample of 600 beach visitors. The data was captured using Microsoft™ Excel™ 2010 and analysed using Statistical Package for Social Sciences (SPSS version 21). Exploratory factor analyses were performed as well as a linear mixed-effect model analysis to analyse the impact of the Blue Flag Programme on tourism. To achieve the goal set for this study, two articles were produced. The aim of chapter 3 (article 1) was to determine the push and pull motives of beach visitors. The results revealed the profile of respondents to be female, married with an average age of 39 years and originating from Gauteng. They have a diploma or degree from a tertiary institute and like to visit the beach for an average of eight nights at a time. To identify the push and pull motives of beach visitors, the travel motives were first identified by means of a principal axis factoring analysis, with Oblimin and Kaiser Normalisation. The aspects yielded three factors, familiarity, family relaxation and escape and beach characteristics. The most important factor was determined to be familiarity. The analysis further revealed two push and two pull motives. The push factors are escape and relaxation (most important push motive) and familiarity. The pull motives are beach attributes (most important pull motive) and cognizance. This article showed that the familiarity of a beach plays an important role as to the motives of beach visitors as well as the fact that visitors to these beaches want to escape and relax away from everyday life. The aim of the chapter 4 (article 2) was to identify the influence of Blue Flag status on visitors’ decision-making when selecting a beach as well as to determine whether any statistically significant differences exist between the visitors to Blue Flag beaches and visitors to non-Blue Flag beaches. A principal axis factoring analysis was conducted to determine the decision-making aspects of beach visitors. This analysis yielded five actors, environmental education, safety and access, cleanliness, landscape and popularity. The most important factor was identified as cleanliness with a mean value of 4.37. Furthermore, a linear mixed-effect model analysis was conducted which identified one statistically significant difference with the factor popularity, which has a p-value of 0.002. No other differences were identified. This study thus found that Blue Flag status does not influence visitors’ decision in selecting a beach. What was interesting was the fact that the aspects which are of importance to beach visitors (such as cleanliness) form part of the criteria on which the programme is based (environmental education and information, environmental management, safety and security and water quality). Thus having Blue Flag status does impact positively on tourism. Since this was the first study of its kind in South Africa, it can benefit all beach destinations in the country. From the findings it is clear that marketing needs to be conducted regarding the Blue Flag programme and the benefits that could be reaped for both the local community and beach visitors. Furthermore, beach management can make use of the motives identified in chapter 3 as well as the decision-making aspects identified in chapter 4 to increase visitor numbers to the beach and gain competitive advantage. Tailor-made marketing strategies can be implemented which will improve the efforts of beach managers and municipalities as well as managers of the Blue Flag Programme to market the programme and raise awareness. Recommendations are made regarding further study on the Blue Flag programme to identify ways in which awareness of the programme amongst the public can be raised. Similar research can also be conducted on other environmental and tourism award systems, such as the Seaside award. This research contributes to the literature on marine tourism, seeing as this was the first time such a study was conducted in a South African setting. / MCom (Tourism Management), North-West University, Potchefstroom Campus, 2014
4

Mėlynosios vėliavos programos įgyvendinimo galimybės įteisintuose Kauno miesto paplūdimiuose / Possibilities of the Blue Flag Programme implementation in the official bathing sites of Kaunas city

Margelytė, Renata 10 August 2009 (has links)
Neracionaliai naudojant paplūdimių ir jų maudyklų pajūrio bei vidaus vandenis, iškyla grėsmė žmonių sveikatai ir vandens išteklių naudingumui. Siekiant išvengti vandens telkinių devastacijos ir besimaudančiųjų susirgimų rizikos, būtina gerinti vandens telkinių stebėseną, kuri atitiktų ES direktyvų keliamus reikalavimus, darnaus vystimosi aspektus. Šiuo principu Aplinkosauginis švietimo fondas Europoje ir už jos ribų yra pristatęs Mėlynosios vėliavos programą. Darbo tikslas − įvertinti įteisintų Kauno miesto paplūdimių ir jų maudyklų atitikimą Mėlynosios vėliavos programos reikalavimams. Darbo tikslui pasiekti išanalizuota paplūdimių ir jų maudyklų teisinė bazė Europos Sąjungoje ir Lietuvoje, nustatyta įteisintų Kauno miesto paplūdimių ir jų maudyklų mikrobiologinė tarša, atliktas įteisintų paplūdimių galimybių vertinimas pagal privalomus Mėlynosios vėliavos programos paplūdimių kriterijus (aplinkosauginio švietimo ir informavimo, vandens kokybės, aplinkosauginio valdymo, saugumo ir paslaugų). Nustatant įteisintų Kauno miesto paplūdimių ir jų maudyklų mikrobiologinę taršą, naudojami Kauno visuomenės sveikatos centro 2000-2006 m. ir Lietuvos Higienos instituto 2007-2008 m. mikrobiologiniai maudyklų vandens kokybės tyrimų duomenys. Apibendrinus tyrimų rezultatus nustatyta, kad Europos Parlamento ir Tarybos Direktyvos 2006/7/EB dėl maudyklų vandens kokybės valdymo nuostatos perkeltos į LR higienos normą HN 92:2007 „Paplūdimiai ir jų maudyklų vandens kokybė“ bei Maudyklų vandens... [toliau žr. visą tekstą] / Unreasonable using of inland water recourses for recreation may cause a risk for human health and ecosystems’ stability. In order to avoid the devastation of ponds and the risk of infectious diseases, it is necessary to improve the water ponds monitoring, that should fulfil the requirements of European Union (EU) directives of sustainable development. For this reason the Foundation for Environmental Education has created the Blue Flag program, that is applied both for European and other countries. The aim of this work is to evaluate the possibilities of valid Kaunas town beaches to get the certificate of the Blue Flag program. For this reason, it was analyzed the bathing-places juridical basis in EU and Lithuania and determined the microbiological pollution of valid Kaunas town beaches. Evaluation of beaches was done according to the Blue Flag program compulsory criteria for water ponds: environmental education and information, water quality, environmental management, security and services. The water monitoring data of Kaunas public health centre and Lithuanian Institute of Hygiene were used for the assessment of water microbiological pollution. It was found out that the statements of the European Parliament and of the Council directive 2006/7/EB for bathing water quality were transferred to the LR Hygiene Norm HN 92:2007 “Beaches and Bathing water quality“ and to the bathing water quality monitoring project for the years of 2009-2011. The highest microbiological pollution... [to full text]

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