An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models

Chen, Jingzhi; Xue, Huaiguo; Tsa, Sang-Bing

doi:10.1155/2021/4156904

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…The GIS system allows users to create maps and other visual representations of data, which can be used to identify patterns and relationships. The system also allows users to create simulations, which can be used to test scenarios and evaluate the impact of different decisions [14].…”

Section: Geographic Informationmentioning

confidence: 99%

A Decision Support System for Priority Calculation of Travel Routes using Analytical Hierarchy Process

Izha

2023

Int. J. Appl. Inf. Manag.

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Currently, selecting a route to reach a specific destination has become more convenient due to map and navigation services such as Google Maps, Apple Maps, Bing Maps, OpenStreetMap, and many more. These services provide users with the most efficient routes using their own algorithms. However, we believe that users would obtain more convincing results if they could choose a route based on their own criteria. This paper proposes a method for selecting a route using the Analytical Hierarchy Process (AHP). AHP allows users to choose criteria, whether subjective or objective, to compare values and calculate priorities, resulting in more convincing results for users. By using AHP, users can determine the most suitable route according to their preferences and needs, providing a more personalized and satisfactory experience. This method could be expanded in the future by integrating machine learning algorithms and real-time traffic data to further improve the accuracy of the selected route.

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Section: Geographic Informationmentioning

confidence: 99%

A Decision Support System for Priority Calculation of Travel Routes using Analytical Hierarchy Process

Izha

2023

Int. J. Appl. Inf. Manag.

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“…The proposed model is put into practice and evaluated in Shanghai, and the results show that compared with the traditional model, the proposed model has better performance and can generate three-dimensional trajectories of tourists. Literature [20] introduces a neural network algorithm and optimal classification decision function to realize the classification of subclasses of attractions and then combines it with the optimal distribution function of random intelligent selection to generate clear attraction travel routes. Simulation experiments have demonstrated the feasibility of the proposed scheme, which can aid in decisionmaking regarding rural tourism services.…”

Section: Introductionmentioning

confidence: 99%

Consumer Satisfaction Evaluation System for Route Planning of Urban Tourist Attractions Based on Multiple Data Fusion

Yu,

Liu

2024

Applied Mathematics and Nonlinear Sciences

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To explore consumer feedback on route planning of urban tourist attractions in order to better propose optimization measures. This paper establishes the consumer satisfaction evaluation index system, determines the index weights based on the G1 method, CRITIC method and game theory method, and carries out evaluation calculation through the consumer satisfaction evaluation cloud model. This paper analyzes the satisfaction of consumers of different genders, age groups and incomes on each evaluation index and explores the credibility of this paper’s method by comparing and analyzing it with the satisfaction of online reviews. In terms of travel shopping satisfaction, the cloud droplets have the highest degree of aggregation, between 0.75-0.88 and a lower degree of aggregation, between 0.49-0.75, indicating that consumers are very satisfied. At the same time, the consumer satisfaction analyzed in this paper and the network review data satisfaction as a whole converge; the network review satisfaction and this paper’s analysis of the satisfaction in tourism services are around 84%-86%. The consumer satisfaction evaluation method constructed in this paper has a high degree of feasibility and accuracy.

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“…Chen, J. et al, based on the optimal classification decision function and neural network algorithm to encode and classify scenic area information, to achieve intelligent random selection within the database and to form intelligent optimization of clear scenic area travel routes, the study show that this intelligent decision-making system helps to optimize the rural tourism services [11]. Sports activities have a certain impact on economic benefits; Li, G. et al studied the relevant impact of sports tourism on the economy in terms of revenue and economic value added, selected two regions of Castile and Leon region to analyze the sports tourism economy, and concluded that the sports tourism industry has a greater impact on the regional economy [12].…”

Section: Introductionmentioning

confidence: 99%

A Logical Rationale for Sports Tourism to Help Rural Revitalization under Integrated Transfer Learning Strategy

Liu,

Yang

2024

Applied Mathematics and Nonlinear Sciences

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As an emerging driving force to promote rural revitalization, sports tourism provides tourists with rich experiences and effectively promotes the development of local sports industry and economy. In this study, an integrated transfer learning model is constructed to assess the development level of rural revitalization by combining a constrained LightGBM-based learner, a Gaussian distribution and an optimized sampling function. Applying this model, this paper calculates the integrated development index of rural revitalization for 21 provinces, municipalities and autonomous regions in China between 2019 and 2023. Particularly for Tianjin, the study finds that its comprehensive development index for rural revitalization is relatively low, only 0.244 in 2023. Analyzing the cases of six typical villages in Tianjin, the study finds that sports tourism significantly impacts rural revitalization. During the five years, the average annual growth of tourist arrivals amounted to 125,400 visitors, and the average tourism revenue in 2023 reached 9.686 billion yuan. Meanwhile, these villages had an average of 3.79 points in the development level of living affluence, which is a high level. The study provides empirical support for sports tourism to help rural revitalization. It provides practical references for the future development direction and planning of rural sports tourism, emphasizing the critical role of sports tourism in promoting the comprehensive development of villages.

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An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models

Cited by 5 publications

References 20 publications

A Decision Support System for Priority Calculation of Travel Routes using Analytical Hierarchy Process

A Decision Support System for Priority Calculation of Travel Routes using Analytical Hierarchy Process

Consumer Satisfaction Evaluation System for Route Planning of Urban Tourist Attractions Based on Multiple Data Fusion

A Logical Rationale for Sports Tourism to Help Rural Revitalization under Integrated Transfer Learning Strategy

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