GEOTOUR & IRSE 2012.pdf - Fakulta BERG - TUKE

Salgótarján, 04. – 06. October 2012
The Southern part is the Rudabánya Hill. Rudabánya is one of the oldest miner settlements in
the country. Geological research has proved that around 35 million tons of ore is still hidden
in the ground. During the research activities not only ores were found here but also the 10-
million-year-old skull of an ancient ape, representing the last stage before the development of
apes and humans separated. The finding is known in the world as Rudapithecus Hungaricus
(http://www.rudabanya.hu/en/index.html). One of the most popular tourist destinations is the
mine lake of Rudabánya (Figure 1.).
THE GOAL AND THE METHOD OF THE STUDY
The primary aim of the research is to help by the accurate and numerical assessing of the
possibilities and to mark the important objectives, which could be applied in the future. This
is necessary because when the empirical research was performed it was experienced that the
Mayors and the notaries consider the tourism as the only survival chance for the settlements.
They think it it easier to establish and develop the tourism than an industrial investment and
they judge it could be a workplace-generating process as well. This is the reason, why we
wanted to collect and demonstrate numerical data, which could be show that how many and
what kind of investments are neccessary to perform the plans and whether there is a realistic
chance to carry out them at all.
Also it is very important to cooperate with the local decision-makers to implement such useful
projects, which could be submitted for the appropriate tender resources. The authors have
applied several methods through the investigation, among them the complex application of
the emphirical research was found to be the most effective. In consequence, questionnaire
surveys and interviews were carried out in Hungary and in Austria as well, and statistical data
were processed.
Among the literature relating to the closure of mines we can find the “Closure Risk
Classification Model”, which is created by the experts of the University of New South Wales.
It is a complex index, which contains several basic data:
CRF = Σ (RE + RSH + RC + RLU + RLF + RT),
where the CRF is the closure risk factor, the RE is the environmental risk, the RSH is the
safety and health risk, the RC is the community risk, the RLU is the final land use risk, the
RLF is the legal and financial risk, while the RT is the technical risk (Laurence, D. C. 2001).
An advanced version of the above mentioned model is a complex indicator, which could be
appropriate for modeling the characteristics and the facilities of the ex-mining areas. The
data-rows of the index are complex thereby they can help by deciding, which factors should
be taken into consideration and take advantage in the aspect whether of workplace-creation,
or in the touristic utilization.
The first and second steps in the construction of composite indicators are the following:
• Theoretical framework: A theoretical framework should be developed to provide the
basis for the selection and combination of single indicators into a meaningful
composite indicator under a fitness-for-purpose principle.
• Data selection: Indicators should be selected on the basis of their analytical
soundness, measurability, country coverage, relevance to the phenomenon being
measured and relationship to each other. The use of proxy variables should be
considered when data are scarce (OECD Handbook, 2008.).
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