Abstract

After years of vigorous development, the scale of rural tourism industry has gradually expanded throughout the country, and it has become an important means of coordinating urban and rural areas to drive farmers’ incomes and get rich. Nowadays, the level of informatization is constantly improving, the construction of smart cities is constantly advancing, the personalized demand of tourists is increasingly strong, especially the rural tourist spots scattered in the vast countryside which have a great spatial breadth, and the traditional management method can no longer meet the needs of the source objects whose main travel mode is self-driving. Therefore, only when rural tourism develops in the direction of intelligence can it successfully realize the transformation and upgrading of rural tourism industry. This paper takes a rural tourism resort in a certain area as the research object and builds an intelligent rural tourism environmental suitability evaluation system with three criterion levels: natural geographic conditions, traffic environmental conditions, and tourism spatial conditions. The weight of each indicator layer is obtained through the analytic hierarchy process, and the reclassified raster data of indicators is weighted and superimposed on the ArcGIS operating platform to obtain the evaluation result of the environmental suitability of smart rural tourism. According to the results of suitability evaluation, the most suitable area is selected as the potential area of the intelligent rural tourism environment in a certain area. According to the natural and cultural tourism resource conditions in the block, the potential block is divided into functions. A comprehensive comparison of the suitability spatial differentiation map of the smart rural tourism environment in a certain area with the suitability spatial differentiation map of each subsystem can more clearly find that the suitability score of the economic development subsystem and the basic support subsystem is a county-level village in a certain area. Among them, the suitability of the rural economic development subsystem is similar to the distribution of the suitability of the smart rural tourism environment in a certain area; that is, it is positively correlated with the suitability of the smart rural tourism environment. Therefore, improving the level of rural economic development and increasing investment in the construction of a smart rural tourism environment play an important role in improving the level of public services and infrastructure coverage.

Highlights

  • At present, the tourism industry is gradually transforming and upgrading into a modern service industry and a strategic pillar industry, out of the scope of the traditional service industry [1]

  • Under ArcGIS 10.1, according to the smart rural tourism environmental suitability index of each administrative village, villages in a certain area are divided into three types of spaces, which are high-level areas, general-level areas, and low-level areas in order

  • It is suitable for the development of smart rural tourism environment construction; the villages included in the general-level area are mainly distributed in high-level areas, and the edges of higher-level areas are more radiated and driven by the economic and public facilities of the villages in high-value areas

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Summary

Introduction

The tourism industry is gradually transforming and upgrading into a modern service industry and a strategic pillar industry, out of the scope of the traditional service industry [1]. Tourism management has changed from a traditional single management model to a new model of “management + service:” tourism public services are gradually incorporated into the core functions of local government administrative bodies and become an important indicator of urban tourism satisfaction. The development and research of villageoriented scenic spots should pay attention to the research on the cultural level and pay attention to the interrelationship and mutual application with landscape, planning, architecture, geography, and other disciplines It can improve the theoretical research on the evaluation of the development of village-based scenic spots to avoid decision-makers from embarking on the detour of eagerness for quick success and short gains and only pursuing superficial performance and truly achieve objective and fair evaluation [6]

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