Publicación:
Urban Tourism Perception and Recommendation in Mexico City and Lima

dc.contributor.authorRegalado, Otto
dc.contributor.authorGabriela Sirkis
dc.contributor.authorOrly Carvache-Franco
dc.contributor.authorMauricio Carvache-Franco
dc.contributor.authorWilmer Carvache-Franco
dc.date.accessioned2024-09-20T20:15:13Z
dc.date.available2024-09-20T20:15:13Z
dc.date.issued2022-11-11
dc.description.abstractMexico City and Lima both have great cultural and historical value as they developed close to major pre-Columbian civilizations. When comparing their urban attractiveness factors, they present differences and similarities that need to be understood at a theoretical level. The study has practical implications as tourism officials and managers in each of these two cities can draw inspiration from the best practices of the other city. The method is quantitative, and the exploratory factorial analysis technique was used to reduce the variables in a group of factors. The results indicate that the different aspects of the cities’ tourism attractiveness can be categorized into four factors: the nucleus, the tourist ecosystem, MICE & shows, and related services. A comparison of the two cities’ Kruskal–Wallis test scores shows significant differences in terms of three variables: monuments and historic sites, museums and art galleries, and shops and commercial services.
dc.identifier.doihttps://doi.org/10.3390/land11112021
dc.identifier.issn2073-445X
dc.identifier.urihttps://cris.esan.edu.pe/handle/20.500.12640/328
dc.identifier.uuidf642c210-0d64-4a0c-af05-a049af3b1aab
dc.relation.ispartofLand
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.titleUrban Tourism Perception and Recommendation in Mexico City and Lima
dc.typehttp://purl.org/coar/resource_type/c_6501
dspace.entity.typePublication
oaire.citation.issue11
oaire.citation.volume11
person.affiliation.nameUNIVERSIDAD ESAN
person.identifier.orcid0000-0001-6196-1479
relation.isAuthorOfPublicationb752448d-ec0b-4c18-8b8c-f2ad5c63c109
relation.isAuthorOfPublication.latestForDiscoveryb752448d-ec0b-4c18-8b8c-f2ad5c63c109

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