Abstract

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.

Highlights

  • From a global approach, the World Tourism Organization [1] mentions that the tourist activity is considered a source of development for the nations; its main contributions to the economies of the world are 1.4 billion tourist arrivals, 6% in global average growth of the sector, connectivity, and openness

  • This motivates to take government measures to ensure and strengthen such growth, further knowing that tourism will grow owing to the needs of demand, responsible management of tourist destinations, conservation, and preservation of tourist resources

  • Numerous studies of sun and beach destinations due to their natural and scenic characteristics, are still valued by tourists [3] and confirm the need to know if tourist destinations can support and consent the tourist flow through the opinions of local residents and businessmen to analyze tourist dynamics, this will allow local sustainable development [4,5]

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Summary

Introduction

The World Tourism Organization [1] mentions that the tourist activity is considered a source of development for the nations; its main contributions to the economies of the world are 1.4 billion tourist arrivals, 6% in global average growth of the sector, connectivity, and openness. This motivates to take government measures to ensure and strengthen such growth, further knowing that tourism will grow owing to the needs of demand, responsible management of tourist destinations, conservation, and preservation of tourist resources. The destinations whose main offer is sun and beach tourism, that do not have the territory management for current and potential tourist purposes, and without an added value that diversifies their offer, will enter in the decline phase according to Butler, as cited in Lara [10]

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