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Dr. Kevin A. Griffin School of Hospitality Mgmt & Tourism DIT, Cathal Brugha St.

‘ Sustainable Tourism Indicators: Issues and challenges in the development of a sustainable tourism management model’*. Dr. Kevin A. Griffin School of Hospitality Mgmt & Tourism DIT, Cathal Brugha St. *some premature comments and thoughts. Sustainability and Ireland’s Tourism assets.

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Dr. Kevin A. Griffin School of Hospitality Mgmt & Tourism DIT, Cathal Brugha St.

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  1. ‘Sustainable Tourism Indicators:Issues and challenges in the development of a sustainable tourism management model’* Dr. Kevin A. Griffin School of Hospitality Mgmt & Tourism DIT, Cathal Brugha St. *some premature comments and thoughts

  2. Sustainability and Ireland’s Tourism assets • People, place, pace • How credible is our clean, green image? • How fragile is the tourism product? • Is the provision of tourist facilities compromising the quality of the tourism product? • How tolerant are tourists to declining environmental standards?

  3. Project Summary • 2 Year EPA funded - Environmental RTDI Prog. 2000-06 looking at Sustainable Tourism Indicators • Research team led by the School of Hospitality Management and Tourism, with School of Environmental Planning and Management, and the Tourism Research Centre, DIT  • Research steering committee: • Dublin Institute of Technology, • Environmental Protection Agency, • Department of Arts, Sports and Tourism, • Environmental Institute, University College Dublin, • Fáilte Ireland • Scottish Hotel School, University of Strathclyde • Shannon Development

  4. DIT-ACHIEV Model of Sustainable Tourism Development

  5. DIT-ACHIEV Model of Sustainable Tourism Development – fields of interest

  6. DIT-ACHIEV Model of Sustainable Tourism Development - dimensions

  7. 218 Indicators in Total

  8. DIT-ACHIEV Model of Sustainable Tourism Development – indicators (1-33)

  9. Assessable Parameters

  10. DIT-ACHIEV Model of Sustainable Tourism Development

  11. Problems Encountered • Available data - specific and detailed. • Large quantity but focused aspects of study area? • Data - spatial scale - difficult to interpolate. • Difficulty contacting holders of data. • Difficulty obtaining data - even if available to public. • Difficult to establish who, or what body holds rights to data & permission for its use. • Issues concerning confidentiality & conflict of interest re-data.

  12. Conclusions • A number of indicators require primary research (surveys). These should be spatially and temporally comparable with others areas • Purpose is not setting capacity, rather looking at change over time • Attention required for collection of local area tourism data focusing on visitor, local community & local administration. • Local authorities & destination managers need identify ‘hot spots’ & begin to identify pressures of importance. • Weighting of indicators may be desirable to prioritise actions. However, will vary from place to place, must be based on local needs and demands.

  13. Conclusions • A number of datasets (CSO pop) limited to periodical examination and release - only provide snapshots. • data often collected at national - high level generic context indicators. • Local authorities, state agencies and voluntary groups could do more to provide data which is spatially coded - facilitate accurate analysis of environmental, economic and social conditions at a local level. • Numerous public private & voluntary organisations gather data of use to investigators. Interaction and agreement regarding standardised format, availability & quality of data

  14. Important Presuppositions / Premises for Model • [Indicators] are used to measure the condition of something of interest. Indicators are often used as variables in the modelling of changes in complex environmental systems (Canadian Environmental Assessment Agency) • Indicators should assess conditions, trends and performance. • A degree of simplification is a prerequisite . . . to provide information in a form of practical use to decision-makers and understandable to the community (Morrissey, O’Regan & Moles, 2005: 49)

  15. Important Presuppositions / Premises for Model • Consideration is given to 4 types of indicators • Environmental condition indicators, • Environmental performance indicators, • Management performance indicators, • Operational performance indicators • Where possible, the selected indicators consider: • accuracy, • bias, • age, • verifiability and • completeness (Putnam, 2002)

  16. Important Presuppositions / Premises for Model • Valuable indicators must consider long-term collecting of data. • Indicators do not have to be specifically tourism related once they can be used to indicate a healthy state of tourism. • Indicators must assist in indicating data which is useful and consistent. • Indicators must indicate change over time • Indicators must assist in demonstrating movement (‘to’ or ‘from’) relative to specified targets (R. Butler, 2006)

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