CLUSTERING TOURIST LOCAL SYSTEMS BY VERTEX PARTITIONING AND LOCAL SEARCH

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Abstract

Despite the importance of tourism as a leading industry in the development of a country’s economy, there is a lack of criteria and methodologies for the detection, promotion and governance of local tourism systems. We propose a quantitative approach for the detection of local tourism systems the size of which is optimal with respect to geographical, economic, and demographical criteria. To this end, the above stated optimization problem is solved applying both a vertex partitiong tecnique and a local search algorithm.
Lingua originaleEnglish
pagine (da-a)49-59
Numero di pagine11
RivistaANNALI DELLA FACOLTÀ DI ECONOMIA. UNIVERSITÀ DI PALERMO
Volume2014
Stato di pubblicazionePublished - 2014

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Partitioning
Tourists
Tourism
Clustering
Local search
Optimization problem
Governance
Industry
Economics
Methodology

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title = "CLUSTERING TOURIST LOCAL SYSTEMS BY VERTEX PARTITIONING AND LOCAL SEARCH",
abstract = "Despite the importance of tourism as a leading industry in the development of a country’s economy, there is a lack of criteria and methodologies for the detection, promotion and governance of local tourism systems. We propose a quantitative approach for the detection of local tourism systems the size of which is optimal with respect to geographical, economic, and demographical criteria. To this end, the above stated optimization problem is solved applying both a vertex partitiong tecnique and a local search algorithm.",
author = "Joseph Andria",
year = "2014",
language = "English",
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pages = "49--59",
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AU - Andria, Joseph

PY - 2014

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N2 - Despite the importance of tourism as a leading industry in the development of a country’s economy, there is a lack of criteria and methodologies for the detection, promotion and governance of local tourism systems. We propose a quantitative approach for the detection of local tourism systems the size of which is optimal with respect to geographical, economic, and demographical criteria. To this end, the above stated optimization problem is solved applying both a vertex partitiong tecnique and a local search algorithm.

AB - Despite the importance of tourism as a leading industry in the development of a country’s economy, there is a lack of criteria and methodologies for the detection, promotion and governance of local tourism systems. We propose a quantitative approach for the detection of local tourism systems the size of which is optimal with respect to geographical, economic, and demographical criteria. To this end, the above stated optimization problem is solved applying both a vertex partitiong tecnique and a local search algorithm.

UR - http://hdl.handle.net/10447/104408

UR - http://portale.unipa.it/dipartimenti/seas/.content/AnnaliFacolta/2014/Annali2014.pdf

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JO - ANNALI DELLA FACOLTÀ DI ECONOMIA. UNIVERSITÀ DI PALERMO

JF - ANNALI DELLA FACOLTÀ DI ECONOMIA. UNIVERSITÀ DI PALERMO

SN - 1827-8388

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