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An auxiliary method for intelligent tourism route planning based on Internet word frequency

A smart tourism and Internet technology, applied in the field of tourism route planning, can solve the problems of tourism route planning, relying on professional and technical personnel, lack of quantitative analysis technology, etc., and achieve a more humanized design result

Active Publication Date: 2019-10-18
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, most of the existing planning methods for tourist routes and scenic spots rely on experience and reference. Although there is a set of effective technical standards, they rely too much on the subjective judgment of professional technicians and lack quantitative analysis techniques, so it is difficult to achieve high-quality and high-quantity planning. Provide scientific basis for tourism route planning

Method used

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  • An auxiliary method for intelligent tourism route planning based on Internet word frequency
  • An auxiliary method for intelligent tourism route planning based on Internet word frequency
  • An auxiliary method for intelligent tourism route planning based on Internet word frequency

Examples

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Embodiment 1

[0079] Such as figure 1 As shown, the intelligent tourism route planning auxiliary method of the present embodiment uses network open source data as the main data source, based on the Internet word frequency search volume, carries out network word frequency statistics on nouns such as tourist attractions, tourist products, hotel facilities, etc., in GIS software ( Use the ArcGIS software platform) to superimpose various types of information, so as to make auxiliary intelligent judgments and suggestions for tourism route planning, mainly including the following steps:

[0080] 1) Basic data preparation and collation

[0081] 1.1) Grab the names of main tourist attractions with python software, supplement and sort out the list of all alternative scenic spots

[0082] This embodiment carries out data mining to the scenic spot information of specific region in " Baidu travel " webpage, grabs the name of main tourist attraction in this region on Baidu travel website with python so...

Embodiment 2

[0146] This embodiment is an application example. Taking the tourism analysis of Sihui City, Guangdong Province as an example, by analyzing the scenic spot information, product types, accommodation facility information and the number of network words of scenic spots, products, and accommodation points in Sihui City, use The optimal tourist route planning results were obtained by Tefel method and analysis tools in ArcGIS software. The whole process includes three parts: basic data preparation and collation, tourism development condition determination, and overlapping analysis-oriented optimal tourism route planning.

[0147] 1) Basic data preparation and collation

[0148] Use python software to capture the names of the main tourist attractions in Sihui City on the Baidu tourism website, and supplement the names of potential scenic spots such as forest parks, river valleys, and cultural relics through research, data collection or other sources of income, so as to determine Sihu...

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Abstract

The invention discloses an intelligent tour route planning auxiliary method based on internet word frequency. The method comprises basic data preparation and organizing, tourism development condition determination, and overlay analysis-guided optimal tour route planning. The method uses division boundaries of a specific city or region as a work base map; collects names of tour sights and potential sights and organizes a property list; takes the Baidu Travel, Baidu Search, Baidu open source development platform and other open source data on the internet as main data sources; is mainly based on internet word frequency; furthermore carries out place name parsing of the sight names by means of the Baidu LBS open platform; by virtue of GIS software, locates accommodation facilities, such as standby sights and hotels, and corrects coordinates of the facilities; overlays obtained word frequency statistics data and other information; determines the property type and development direction of each sight, gives suggestions to tour route organization and tour service center address selection, etc.; and finally creates an optimal tour route.

Description

technical field [0001] The invention relates to an auxiliary method for planning a tourist route, in particular to an auxiliary method for planning a smart tourist route based on Internet word frequency, belonging to the field of planning a tourist route. Background technique [0002] With the advent of the stage of tourism intelligence and the era of big data, the research technology and demand for the development of tourist routes and scenic spots in the tourism industry are also increasingly upgraded. At present, most of the existing planning methods for tourist routes and scenic spots rely on experience and reference. Although there is a set of effective technical standards, they rely too much on the subjective judgment of professional technicians and lack quantitative analysis techniques, so it is difficult to achieve high-quality and high-quantity planning. Provide a scientific basis for tourism route planning. [0003] With the rapid development of the tourism indust...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/14G06F16/9537
Inventor 周祥胜钟烨赵渺希贾锐澜
Owner SOUTH CHINA UNIV OF TECH
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