TY - JOUR
T1 - Analysis of tourist systems predictive models applied to growing sun and beach tourist destination
AU - Palacios, Miguel Angel Ruiz
AU - de Oliveira, Cristiana Pereira Texeira
AU - González, José Serrano
AU - Flores, Soledad Saénz
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/1/2
Y1 - 2021/1/2
N2 - This study aims to present a new diagnosis model of Sun and beach destinations, we analyzed a set of explanatory theories about the tourism system, because current models do not reflect the real dynamics of an emerging tourist destination. We create a new predictive model so it served us to be used as a diagnostic method for the tourism system. Ancon district is a coastal town of Peru, it is the second-largest and oldest of Metropolitan Lima district. The study analyzed all tourist attractions and local resources including reserved zone Lomas de Ancón, with 10,962 hectares. It used a qualitative method and its design is grounded theory and phenomenological. The research covers the period from May 2018 to March 2019, where it was possible to appreciate the high tourist demand and wild flora and fauna of the Lomas de Ancón in its two seasons: winter season (2018) and summer 2019 (dry season). The study concludes that the new analysis model allows us identifying and understanding the dynamic and potential of sun and beach tourist destinations in the growth phase. The Ancón district has resources and attractions that would allow it to develop new tourist products and diversify the local tourist offer.
AB - This study aims to present a new diagnosis model of Sun and beach destinations, we analyzed a set of explanatory theories about the tourism system, because current models do not reflect the real dynamics of an emerging tourist destination. We create a new predictive model so it served us to be used as a diagnostic method for the tourism system. Ancon district is a coastal town of Peru, it is the second-largest and oldest of Metropolitan Lima district. The study analyzed all tourist attractions and local resources including reserved zone Lomas de Ancón, with 10,962 hectares. It used a qualitative method and its design is grounded theory and phenomenological. The research covers the period from May 2018 to March 2019, where it was possible to appreciate the high tourist demand and wild flora and fauna of the Lomas de Ancón in its two seasons: winter season (2018) and summer 2019 (dry season). The study concludes that the new analysis model allows us identifying and understanding the dynamic and potential of sun and beach tourist destinations in the growth phase. The Ancón district has resources and attractions that would allow it to develop new tourist products and diversify the local tourist offer.
KW - Diagnosis of the tourism system
KW - Natural and cultural resources
KW - Tourist destination
KW - Tourist model
KW - Tourist system model
UR - http://www.scopus.com/inward/record.url?scp=85100221125&partnerID=8YFLogxK
U2 - 10.3390/su13020785
DO - 10.3390/su13020785
M3 - Article
AN - SCOPUS:85100221125
SN - 2071-1050
VL - 13
SP - 1
EP - 24
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 2
M1 - 785
ER -
