Journal article Open Access

Estudio Del Gasto en Turistas De Cruceros en Uruguay Para La Temporada 2010-2011 Mediante El Análisis De Redes

Álvarez-Vaz, Ramón; Altmark, Silvia


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  <identifier identifierType="DOI">10.5281/zenodo.3677599</identifier>
  <creators>
    <creator>
      <creatorName>Álvarez-Vaz, Ramón</creatorName>
      <givenName>Ramón</givenName>
      <familyName>Álvarez-Vaz</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2505-4238</nameIdentifier>
    </creator>
    <creator>
      <creatorName>Altmark, Silvia</creatorName>
      <givenName>Silvia</givenName>
      <familyName>Altmark</familyName>
    </creator>
  </creators>
  <titles>
    <title>Estudio Del Gasto en Turistas De Cruceros en Uruguay Para La Temporada 2010-2011 Mediante El Análisis De Redes</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-05-29</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3677599</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3677598</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Cruise tourism in Uruguay has grown since the season 2004-2005,
determining an important contribution of foreign currency each season
(April to October of each year).
Therefore, it is considered relevant to characterize the economic
variables involved in this activity, particularly expenditure.
Using data from Ministerio de Turismo (Ministry of Tourism) of cruise
ships of the 2010-2011 season, this work compares the typology that
emerged applying hierarchical and non-hierarchical clustering
methods, with those emerged when applying the network analysis
(SNA) to the expenditure data in cruise passengers.
Previously the authors had built a typology of cruise passengers,
resulting from applying Ward's algorithm distances for binary variables
(spend or not spend) in five items of expenditure.
Cruise data is obtained from a sample of passengers at through a face-
to-face survey with complex sample design.
Information on people and spending is available since the 2005-2006
season; the present work focuses on the 2010-2011 season.
On the binary expenses in each cruise, graphs are constructed, to
which several metrics are applied for its description.
Using the previous typology of expenditures, the authors study the
association between socio-demographic characteristics of the cruise
passengers with the groups created previously and the communities
identified with the SNA, to determine patterns of behavior considering
the expense when changing the type of cruise.</description>
  </descriptions>
</resource>
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