Scenic spot development and evaluation method

Abstract

The invention discloses a tourist attraction development and evaluation method which comprises the following steps: establishing a tourist attraction reachability network, and establishing a tourist attraction co-occurrence network based on network comment data; based on node features, connection features, subnet features and network features of the tourist attraction reachability network and the tourist attraction co-occurrence network, evaluating tourist attraction development performance, and generating a tourist attraction development strategy. According to the invention, multiple data sources are selected, and a tourist attraction reachability network and a tourist attraction co-occurrence network are constructed on the basis of real-time traffic road conditions and tourist attraction switching according to different characteristics presented by tourists in different stages of tourist activities from the full life cycle characteristics of the tourist activities and on the basis of network comment data. Through analysis of three scales of nodes, subnets and the global situation, the status and effect of the tourist attractions in different networks are revealed, the same matching and different matching characteristics of the tourist attractions are analyzed, the development space performance of the tourist attractions is evaluated, and corresponding tourist attraction development strategies are formulated.

Description

technical field [0001] The invention belongs to the technical field of tourism resource development, and in particular relates to a method for developing and evaluating tourist attractions. Background technique [0002] Tourist attractions are the premise and basis for the development of tourism, and an important link between tourist destinations and tourist destinations. [0003] The spatial structure of tourism reflects the spatial attributes and correlations of the elements of tourism activities. Looking at the relevant research at home and abroad, it can be found that, due to the limitation of statistical data, most of the relevant research uses the panel data of administrative regions as the research sample, and the data comes from the data of the administrative statistical yearbook. Or questionnaire survey data, these data have problems such as insufficient temporal and spatial resolution, limited sample size, and insufficient explanatory power for the implicit correla...

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Problems solved by technology

[0003] The spatial structure of tourism reflects the spatial attributes and correlations of the elements of tourism activities. Looking at the relevant research at home and abroad, it can be found that, due to the limitation of statistical data, most of the relevant research uses the panel data of administrative regions as the research sample, and the data comes from the data of the administrative statistical yearbook. Or questionnaire survey data, these data have problems such as insufficient spatial and temporal resolution, limited sample size, and insufficient explanatory power for the implicit correlation between tourist attractions

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