Characteristics Of Tourism Resources Research Articles

Analysis on the General Conception and Planning of the Road Trip Campsite along the Land Silk Road in China

This article is based on the cultural background of the land section of the "Silk Road" and the surrounding status quo research basis, combined with its own characteristics of tourism resources, folk culture and traffic conditions, establish a self-driving camping site system in the five provinces of Shaanxi, Gansu, Ningxia, Qinghai and New Zealand on the domestic section of the "Silk Road". This paper summarizes the current situation and constraints of campsites in each province through data collection, data analysis and field investigation. On this basis, we put forward the overall construction and planning ideas of the camp. The purpose is to scientifically, reasonably and orderly plan the construction scheme of road trip routes, camping sites and campsites along the Silk Road.This will further promote the healthy development of tourism and cultural experience in the areas along the Silk Road, provide convenient and safe travel routes and recreation environment for tourists, but also improve the economy and people's living standards in the areas along the route.

Comprehensive Evaluation of Tourism Resources Based on Multispecies Evolutionary Genetic Algorithm-Enabled Neural Networks.

With the development of neural network technology and the rapid growth of China's tourism economic income at this stage, the research on the comprehensive evaluation of tourism resources has gradually emerged. Based on this, this paper studies the neural network comprehensive evaluation model based on multispecies evolutionary genetic algorithm and designs the neural network analysis system of influencing factors of tourism resources based on multispecies evolutionary genetic algorithm. The collection and acquisition of data information are realized from the aspects of resource income status, tourism development investment, and sustainability evaluation in the tourism area. The multispecies evolutionary genetic algorithm is used for comprehensive analysis and evaluation. The algorithm can realize the complex analysis and comprehensive evaluation of the core influencing factors of neural network. Accurate analysis and evaluation were carried out according to the different characteristics of tourism resources and the current situation of tourism income. The results show that the neural network comprehensive evaluation model based on multispecies evolutionary genetic algorithm has the advantages of high practicability, good sorting effect of variable ratio, and good data integration. It can effectively analyze and compare the comprehensive evaluation factors affecting tourism resources in different ratios.

A Study on the Sustainable Tourism Development of Hailuogou Glacier Forest Park in Sichuan

The natural general conditions and social economic situation of Hailuogou glacier forest park are described in the article, which describes five characteristics of tourism resources of the park and analyzes tourism development situation, pointing out the problems of it. Sustainable utilization countermeasures are put forward for Hailuogou tourism resources.

Resource Optimization Algorithm Based on Evaluation Decision Model of Information Entropy

Xianning is located in the fourth pole of economic growth core area of The Central Triangle, through the location entropy analysis method we can know that, tourism industry is an advantaged industry in Xianning and the adjacent region of The Central Triangle, and have their own advantages and characteristics of tourism resources. According to the space constraint issues on function realization of advantaged tourism resources in Xianning, space breakthrough strategy based on The Central Triangle pattern has been presented.

Context-based Ontology-driven Recommendation Strategies for Tourism in Ubiquitous Computing

Tourism is an information-intensive business. At present, there are a lot of information and tourism resources available on the internet that lead to low searching efficiency and effectiveness, the user may get too many seeking results but not related to his interest, or few results than his expected. The user can know clearly what he wants, but sometime the user doesn't know what kind information he needs. User's demand can be formulated as direct demand and potential preference. At the same time, the study shows that there is strong relationship between the traveler's potential preference and the characteristics of tourism resources. In order to solve the information overload challenge, recommendation services are increasingly emerging. Currently, recommendation methods focus on dealing with personalized matching based on the user preference. However, these methods skip the user's direct demand. In this paper, we propose ontology-driven recommendation strategies based on user's context. The strategies use ontology to describe and integrate tourism resources, achieve the goal of associating user's direct needs and his potential preference as the context in recommendation. Moreover, theoretical analysis and experiments show that the proposed approach is feasible, the results of the evaluation are discussed.

Relationship between resort life cycle and residents’ perception and attitude

The change in residents’ perception and attitude and resort life cycle are the basic problems in the course of resort evolution. This thesis sets up the dynamic model of residents’ perception and attitude, analyzes the linkage between residents’ perception and attitude and the influential factors of resort life cycle, and finally, with a case study of Putuo Mountain, preliminarily discusses the relationship between resort life cycle and residents’ perception and attitude. The research findings show that, although within development stage of life cycle, Putuo Mountain has already presented some signs of mature stage. The on-the-spot survey also indicates that, the local residents’ positive perception is stronger than their negative perception. But compared with residents in some other coastal resorts such as Haikou and Sanya, negative perception of residents in Putuo Mountain is more evident, as the result of the smaller tourism carrying capacity in Putuo Mountain. There are some influential factors that have great impact on tourism carrying capacity in Putuo Mountain: tourist-resident number ratio, residents’ benefit-cost ratio and characteristics of tourism resources. And the less influential factors are residents’ demographic character, tourist behavioral character and cultural differences between local residents and tourists. Therefore, effective measures should be taken to adjust the structure of tourism product for the purpose of expanding tourism carrying capacity, lowering its pressure, lessening residents’ environmental cost and enhancing their positive perception, which is the most essential prerequisite for the maturation of life cycle in Putuo Mountain.