CN105184422B - A kind of smart travel layout of roads householder method based on internet word frequency - Google Patents
A kind of smart travel layout of roads householder method based on internet word frequency Download PDFInfo
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Abstract
The smart travel layout of roads householder method based on internet word frequency that the invention discloses a kind of, comprising: basic data prepares to be oriented to optimal travel-line planning with arrangement, tourism condition criterion and Overlaying analysis.The method of the present invention is using the zoning boundary in town or region as working base map, it is collected by tourist attractions and potential sight name, produce register arranges, and Baidu's tourism, Baidu search, the networks such as Baidu's open platform increase income data etc. as key data source, emphasis is based on internet word frequency, place name parsing further is carried out to sight name by Baidu's LBS open platform, and pass through GIS software for alternative tourist attractions, the lodging facilities such as hotel hotel carry out space dropping place and coordinates correction, the acquired word frequency statistics of overlapping and other information, it carries out each sight spot produce type and developing direction judges, travelling route tissue is suggested, tour and travel information service's addressing suggestion etc., to generate optimal travel-line planning.
Description
Technical field
The present invention relates to a kind of travel-line planning householder method, especially a kind of smart travel based on internet word frequency
Layout of roads householder method belongs to travel-line planning field.
Background technique
With the arrival in travel intelligent stage and big data era, Scene Tourist route and sight spot are sent out in travel industry
The investigative technique of exhibition also increasingly upgrades with demand.Currently, existing travelling route and sight spot planing method be mostly by experience with
It uses for reference, though there is the effective technical standard of a set of determination, excessively relies on the subjective judgement of professional technician, lack quantitative analysis
Technology, thus more difficult high-quality a large amount for travel-line planning provide science foundation.
With the high speed development of tourist industry, tourism pattern also develops towards the direction of support information technology therewith, travelling route
The design method on road passes through multiple means and continues to optimize.Tan Caihe (2004) proposes the problems in Itinerary Design, and ties
It closes and proposes that Itinerary Design should be based on tourist resources, means of transportation, infrastructure and travel reception with real case status
The actual conditions of facility etc.[1].Gong Junjiao (2005) is based on the intention sex investigation of potentially exchangeable phosphate to the travelling route at local scenic spot
The problems such as road is designed, and has fully considered the concern temperature of sight spot, periphery lodging facilities etc.[2].Zhu Quan (2014) be based on to
The analysis of family interactive operation behavioral data excavates potential mode, shape with the FP-growth algorithm of more minimum supports weighting
Meets the needs of different groups are for travelling route as the foundation of recommending scenery spot at rule[3].Lai Weishen, Shi Jiajun, thank to length
Safe (2008) recommend contained sight spot in travelling route according to the popular degree and period at sight spot based on word frequency of internet data[4].Zhao
Vast uncommon, Jia Ruilan, Gu Qin, Wujiang month (2015) are based on network data collection, are combined sight spot using the method for word frequency co-occurrence
Network attention metrization, to assist the sight spot of travelling route to combine selection[5]。
Therefore, it is of great significance using the quantitative analysis method of network data, in smart travel developing stage, using big
The planning and designing that data carry out travelling route help to propose the feasible technical solution of science.
The bibliography that above content is mentioned is as follows:
[1] the problem of Tan Caihe Itinerary Design and Chongqing positive research [A]: Chongqing Polytechnic College journal, 2004-8
[2] the Gong Junjiao Itinerary Design research Hunan [D]: Hunan Normal University's master thesis, 2005
[3] design for the smart travel recommender system that Zhu Quan is excavated based on weighted association rules and the Hubei realization [D]: military
Chinese University of Science and Technology master thesis, 2014
[4] Taiwan Lai Weishen, Shi Jiajun, Xie Changtai recommending scenery spot device and method [P]: 200810181564.4,
2010-06-16.
[5] Zhao Miao is uncommon, Jia Ruilan, Gu Qin, and a kind of travelling route sight spot combination based on network data collection in Wujiang month pushes away
Recommend the Guangdong method [P]: number of patent application 201510283999.X, 2015-05.
Summary of the invention
The purpose of the present invention is to solve the defects of the above-mentioned prior art, provide a kind of intelligence based on internet word frequency
Intelligent travel-line planning householder method, this method pass through tourism using the zoning boundary in town or region as working base map
Sight spot and potential sight name are collected, produce register arranges and the networks such as Baidu's tourism, Baidu search, Baidu's open platform
Data of increasing income etc. are used as key data source, and emphasis is based on internet word frequency, further by Baidu's LBS open platform to sight spot
Title carry out place name parsing, and by GIS software by the lodging facilities such as alternative tourist attractions, hotel hotel carry out space dropping place and
Coordinates correction overlaps acquired word frequency statistics and other information, carries out each sight spot produce type and developing direction judgement, tourism
The suggestion of route tissue, tour and travel information service's addressing suggestion etc., to generate optimal travel-line planning.
The purpose of the present invention can be reached by adopting the following technical scheme that:
A kind of smart travel layout of roads householder method based on internet word frequency, the described method comprises the following steps:
S1, town or region are determined, utilizes python software grabs town or the main travel sight spot in region
Potential sight name is collected and be added to title, determines all alternative tourist attractions titles in town or region；According to country
Produce register standard determines agricultural, work and custom culture three categories produce register；It is obtained using Baidu's LBS open platform special
Determine the lodging facilities title and its coordinate in city or region；
S2, Baidu's webpage word frequency number using alternative sight names all in python software search town or region
Amount, Baidu's webpage word frequency quantity of all kinds of produce titles, Baidu's webpage word frequency quantity of each lodging facilities title；
S3, several highest sight names of word frequency quantity are screened in all alternative sight spots in town or region, it is right
All alternative sight spot coordinates are parsed, and sight spot latitude and longitude coordinates information is obtained；According to obtained sight spot latitude and longitude coordinates information,
Drop point is carried out to the highest sight spot of several word frequency quantity on GIS software, assigns word frequency value；Sight spot is generated using GIS software to connect
Gauze network, and calculate the distance between each sight spot；Filter out the line at each sight spot Yu closest two sight spot；With gravity model, by
Two adjacent to sight spot word frequency value calculate two between sight spot line word frequency hot value, generate travelling route tissue suggest figure；Really
Fixed any two sight spot is automatically generated optimal travelling route and is recommended by GIS network analysis；
S4, the highest produce title of several word frequency quantity is filtered out in every class produce in town or region, use
Delphi matches several highest sight spots of word frequency quantity with suitable tourism produce, obtains each sight spot and corresponds to all kinds of objects
Synthetic weights weight values of production, and being ranked up, determine that each sight spot is suitable for matched produce type, thus obtain be suitable for each sight spot
The planning suggestion of tourism produce；
S5, by the lodging facilities in town or region on GIS software drop point, assign word frequency value；According to word frequency number
The size of amount carries out cuclear density analysis, obtains the word frequency temperature situation of lodging facilities in town or region；
S6, according to the optimal travelling route of generation recommend and determine be suitable for matched produce type, travelling route is provided
Project planning；Suggestion figure and obtained lodging facilities word frequency temperature is organized to overlap obtained travelling route, to outing dress
Business center carries out addressing；According to travelling route project planning and tour and travel information service's addressing, smart travel layout of roads is generated.
Preferably, described to utilize the main travel sight spot in python software grabs town or region name in step S1
Claim, collect and be added potential sight name, determine all alternative tourist attractions titles in town or region, specifically include:
S11, the IDLE tool in python software, opening getPOIList file, operating file module, according to fortune are utilized
Row prompt requires to set file preservation title, Baidu's tourist attractions network address, and the corresponding webpage number of pages of input, operation finish
It is then automatically saved afterwards as csv file；
S12, a txt text file is created, the csv file that operation generates is dragged in txt file, after preservation again
Csv format is opened, then obtains the main travel sight name of town or region on Baidu's tour site；
S13, sources are provided by investigation, data collection and other receipts, further searches for the potential scape in town or region
Point title, is supplemented；
S14, arrangement obtain the name list of all alternative tourist attractions in town or region.
Preferably, in step S1, the lodging facilities name that town or region are obtained using Baidu's LBS open platform
Title and its coordinate, specifically include:
S15, application obtain the api interface key of Baidu LBS open platform；
S16, URL request parameter is configured；Wherein, the URL request parameter includes secret key code, object search class
The latitude and longitude coordinates of type, rectangular search range；
S17, configured URL request parameter is opened in a browser test, if the number of objects in object element
More than 760, then search unit is reduced, repartition latitude and longitude coordinates range, until all URL request parameters are qualified；
S18, qualified URL request parameter batch is imported into Locoy Spider software, acquisition label, text is respectively set
Template, to obtain the title of lodging facilities, latitude and longitude coordinates, address, score information.
Preferably, step S3 is specifically included:
S31, all alternative sight spots in town or region are ranked up by word frequency quantity, filter out all alternative scapes
Several highest sight names of word frequency quantity in point；
S32, all alternative sight spot coordinates in town or region are parsed, obtains sight spot latitude and longitude coordinates letter
Breath, according to obtained sight spot latitude and longitude coordinates information, carried out in GIS software the highest sight spot dropping place of several word frequency quantity and
Coordinate correction, after exporting the shapefile file for generating sight spot, link assigns point corresponding word frequency value, and set-point characterizes big
It is small；
S33, the boundary base map of point and town or region is led from GIS software as cad file, it is soft in AutoCad
300m*300m grid is drawn in part, which covers the sight spot of all screenings；
S34, " newly-built OD Cost matrix " by the Network Analyst tool in GIS software are raw according to each sight spot
At the line between sight spot, and the geometrical length of line is calculated to get the distance arrived between each sight spot；
S35, line between each sight spot and closest two sight spots is filtered out, if two sight spot spacing are less than 1km, then another
The line between one and next neighbouring sight spot is taken, to generate two shapefile texts new corresponding to line between sight spot
Part；
S36, the mode according to airlink, by two adjacent to sight spot word frequency assignment in two lines between sight spot, fortune
Calculated with the gravity model in social physics, be calculate by the following formula two between sight spot line word frequency temperature:
Wherein, CABIndicate the word frequency temperature of line between sight spot A and sight spot B, CAIndicate the word frequency temperature of sight spot A, CBTable
Show the word frequency temperature of sight spot B, lABIndicate the distance between sight spot A and sight spot B；
S37, two are calculated between sight spot after the word frequency temperature of line, the thickness that line is arranged in GIS software carries out table
Sign, and be stacked with the figure for characterizing each sight spot word frequency size together on the boundary base map in town or region, to be traveled
Route tissue suggestion figure；
The inverse of S38, the word frequency temperature of line between sight spot of calculating two, such as following formula:
To possess two line between sight spot of word frequency temperature reciprocal value, again the New-deployed Network data in GIS software
Collection, and attribute is added during newly-built, it is default according to the OD traffic for carrying out next step that assignment, which is arranged, with word frequency temperature inverse
Network analysis；
After S39, Network data set generate, by " the newly-built path " of the Network Analyst tool in GIS software,
Any two to be passed through or more than two sight spots are set, solves and generates word frequency temperature inverse cost minimization, i.e. word frequency temperature
The maximum path OD, so that the optimal travelling route for obtaining several highest sight spots of word frequency quantity is recommended.
Preferably, in step S32, each sight spot coordinate of described pair of screening is parsed, and obtains sight spot latitude and longitude coordinates letter
Breath, specifically includes:
1) application obtains the api interface key of Baidu LBS open platform；
2) URL request that place name parsing is spelt according to geographical name data, is configured URL request parameter；Wherein, described
URL request parameter includes secret key code, object search type, affiliated city or province title；
3) qualified URL request parameter is saved as into txt text formatting, batch imports Locoy Spider software, sets respectively
Acquisition label, text template, operation task are set, to get each sight spot latitude and longitude coordinates information of screening.
Preferably, step S4 is specifically included；
S41, every class produce in town or region are ranked up by word frequency quantity, are filtered out several in every class produce
The highest produce title of word frequency quantity；
S42, several highest sight spots of word frequency quantity are matched using Delphi with suitable tourism produce, is obtained
Each sight spot corresponds to the synthetic weights weight values of all kinds of produce；
S43, the synthetic weights weight values of all kinds of produce are ranked up, obtain the produce type of each sights front three,
It is judged as that the sight spot is suitable for matched produce type, to draw corresponding line of the produce title with sight name, obtains pair
Each sight spot is suitable for the planning suggestion of produce of travelling.
Preferably, in step S42, it is described using Delphi to several highest sight spots of word frequency quantity and suitable tourism
Produce are matched, and are obtained the synthetic weights weight values that each sight spot corresponds to all kinds of produce, are calculated using following formula:
Wherein, δjIndicate that several highest sight spots of word frequency quantity correspond to the comprehensive subjective weighted value of produce j, YijIt is i-th
People judges the weight of jth class produce, i=1,2 ..., n, j=1,2 ..., n.
Preferably, step S5 is specifically included:
S51, according to the lodging facilities title and its coordinate for obtaining town or region, space is carried out in GIS software
Dropping place and coordinate correction；
S52, by living in Baidu's webpage word frequency quantity of lodging facilities title each in town or region and GIS software
Place facility point is linked；
S53, cuclear density analysis is carried out according to the size of word frequency quantity, obtains the word of lodging facilities in town or region
Frequency temperature situation.
The present invention have compared with the existing technology it is following the utility model has the advantages that
1, the method for the present invention is in the planning and designing to specific region (town or region) interior travelling route, in addition to according to
It is outside one's consideration according to each sight spot network attention, in conjunction with local produce and sight spot match condition and lodging facilities distribution and temperature situation, makes
It is more humanized to obtain Itinerary Design result, sufficiently meets the needs of traveller is to tourism " six elements "；For three parts
In the concrete analysis of (route tissue, produce analysis, facility analysis), network geographical coordinate information and word frequency of internet are taken full advantage of
The data such as quantity are aided with professional software and carry out data process&analysis, so that final travel-line planning design result has more
There is reasonability；Traveller be can satisfy in the tourism process of a given line, experience path is short and " eat, live, purchasing " is convenient
This three big main feature.
2, the method for the present invention is the science auxiliary based on travelling route temperature, sight spot produce feature and lodging facilities three
Scene Tourist route planning judges the concern heat at each sight spot according to word frequency of internet quantity for the sight spot in certain territorial scope
Degree to judge travelling route temperature situation, while being distributed according to the produce of region where each sight spot, for actual conditions, is divided
Analyse the optimal produce type in each sight spot and suitable developing direction；In addition, the lodging facilities of region where obtaining each scenic spot from network
Distribution and network temperature situation, the addressing for Scene Tourist service centre provide reference.
Detailed description of the invention
Fig. 1 is the flow chart of the smart travel layout of roads householder method of the embodiment of the present invention 1.
The alternative tourist attractions word frequency quantity ordering chart that Fig. 2 is screened by the embodiment of the present invention 2.
The alternative tourist attractions drop point and temperature schematic diagram that Fig. 3 is screened by the embodiment of the present invention 2.
The alternative tourist attractions wire net schematic diagram that Fig. 4 is screened by the embodiment of the present invention 2.
The alternative tourist attractions route that Fig. 5 is screened by the embodiment of the present invention 2 screens schematic diagram.
The alternative tourist attractions route schematic illustration of tissue that Fig. 6 is screened by the embodiment of the present invention 2.
Fig. 7 is the optimal travelling route schematic diagram of the sight spot A to sight spot B of the embodiment of the present invention 2.
Fig. 8 is the Main Agricultural class produce word frequency quantity schematic diagram of the embodiment of the present invention 2.
Fig. 9 is the key industry class produce word frequency quantity schematic diagram of the embodiment of the present invention 2.
Figure 10 is the main cultural class produce word frequency quantity schematic diagram of the embodiment of the present invention 2.
Figure 11 is that the part of tourism sight spot of the embodiment of the present invention 2 matches schematic diagram with tourism produce.
Figure 12 is the accommodation services distribution of facilities schematic diagrames such as hotel, the hotel of the embodiment of the present invention 2.
Figure 13 is the word frequency temperature figure of the lodging facilities such as hotel, the hotel of the embodiment of the present invention 2.
Figure 14 is the optimal travelling route schematic diagram of the sight spot A to sight spot B after the optimization of the embodiment of the present invention 2.
Figure 15 is that schematic diagram is suggested in tour and travel information service's addressing of the embodiment of the present invention 2.
Specific embodiment
Present invention will now be described in further detail with reference to the embodiments and the accompanying drawings, but embodiments of the present invention are unlimited
In this.
Embodiment 1:
As shown in Figure 1, the smart travel layout of roads householder method of the present embodiment is using network open source data as main number
According to source, based on internet word frequency volumes of searches, network is carried out to nouns such as tourist attractions, tourism produce, hotel's hotel facilities
Word frequency statistics overlap various information in GIS software (using ArcGIS software platform), to make for travel-line planning
The wisdomization of auxiliary judges and suggests, mainly comprises the steps that
1) basic data prepares and arranges
1.1) python software grabs main travel sight name is used, supplements and arranges all alternative sight name lists
The present embodiment carries out data mining by the sight spot information to specific region in " Baidu's tourism " webpage, uses python
The software grabs region main tourist attractions title on Baidu's tour site, and Forest Park is supplemented by data collection
The title at the potential sight spots such as point, river valley floor, historical relic point, so that it is determined that all alternative tourist attractions name lists in the region, tool
Body step are as follows:
1.1.1) using the IDLE tool in python software, the getPOIList file write, operating file mould are opened
Block, according to operation prompt require set file save title (csv format), Baidu's tourist attractions network address (i.e. by http: //
The part * of the lvyou.baidu.com/*/jingdian/ network address is set as the phonetic small letter spelling of grabbed city name, such as
The tourist attractions network address in crawl Shanghai is then set as http://lvyou.baidu.com/shanghai/jingdian/), and
Corresponding webpage number of pages is inputted, is then automatically saved after operation as csv file；
1.1.2 a txt text file) is created, the csv file that operation generates is dragged in txt file, weight after preservation
It is new to open csv format, then obtain the main travel sight name of town or region on Baidu's tour site；
1.1.3) by investigation, data collection and other receipts money sources, the forest in town or region is further searched for
The ecologies such as park point, river valley floor, historical relic point, the potential sight name of humane class, are supplemented；
1.1.4 it) arranges and obtains the name list of all alternative tourist attractions in town or region.
1.2) three categories produce register is arranged
Main basis " national industrial and agricultural products (commodity, goods and materials) classification and code (standard GB/T 7635-87) ", " system
Meter product classification catalogue " the national produce register standard such as major class, middle class catalogue table, determine agricultural, industry, custom culture
Three categories produce register, produce register show as shown in table 1 below.
1 produce register table of table
1.3) lodging facilities information is excavated based on Baidu LBS open platform
The present embodiment uses Baidu LBS open platform, obtains " hotel " in studied territorial scope, " hotel " etc. and stays
Facility name and its corresponding geographical coordinate, specific steps are as follows:
1.3.1) application obtains the api interface key of Baidu LBS open platform；
1.3.2) URL request parameter is configured；Wherein, the URL request parameter includes secret key code, object search class
Type (hotel and hotel), the latitude and longitude coordinates of rectangular search range；
1.3.3 it) opens configured URL request parameter in a browser to test, if the number of objects in object element
Amount then reduces search unit, repartitions latitude and longitude coordinates range more than 760, until all URL request parameter qualifications are
Only；
1.3.4 qualified URL request parameter batch) is imported into Locoy Spider software, acquisition label, text is respectively set
This template, to obtain the title of the lodging facilities such as hotel, hotel, latitude and longitude coordinates, address, score information.
1.4) python software grabs Baidu webpage word frequency quantity is used
The present embodiment uses python software, grabs a keyword and two keywords in the word frequency quantity of Baidu's webpage
(i.e. word frequency volumes of searches), so that statistics obtains the word frequency quantity of studied region and all kinds of produce, all sight name word frequency numbers
Amount, all hotels and the word frequency quantity in hotel etc., specific steps are as follows:
1.4.1 the IDLE tool for) utilizing python software, opens the two keyword word frequency volumes of searches of Baidu's webpage write
Gripping tool --- 2WebPage Number file, following form modifying code:
City_list=[' studied region name ']
Adj_list=[' produce title 1', ' produce title 2', ' produce title 3' ..., ' produce title N']
After code revision, operating file module requires to set file preservation title (csv according to operation prompt
Format), programming module can automatically grab out Baidu's webpage word frequency volumes of searches of " region+produce title " two keywords, fortune
The csv file of generation is dragged in txt file after row and is saved, specific region and all kinds of produce titles can be obtained
The volumes of searches matrix data of co-occurrence；
1.4.2 the IDLE tool for) utilizing python software opens one keyword word frequency volumes of searches of Baidu's webpage and grabs work
Tool --- 1WebPage Number file, following form modifying code:
City_list=[' sight spot 1', ' sight spot 2', ' sight spot 3' ..., ' sight spot N']
After code revision, operating file module, setting file saves title (csv format), will after operation
The csv file of generation, which drags in txt file, to be saved, and the word frequency that each sight name can be obtained in Baidu's webpage is searched for
Amount；
1.4.3) same to previous step, with IDLE tool open 1WebPage Number file, by taking hotel as an example, following lattice
Formula modifies code:
City_list=[' hotel name 1', ' hotel name 2', ' hotel name 3' ..., ' hotel name N']
After code revision, operating file module, setting file saves title (csv format), will after operation
The csv file of generation, which drags in txt file, to be saved, and each hotel or hotel name can be obtained in the word of Baidu's webpage
Frequency volumes of searches.
2) tourism condition criterion
2.1) travelling route tissue is suggested
The internet word frequency at sight spot reflects the concern temperature of tourist attractions to a certain extent.Therefore, based on the word of Baidu
Frequency amount statistical data, can make preferably tourist attractions and route tissue judges.
2.1.1 all alternative sight spots in town or region are ranked up by word frequency quantity), are filtered out all alternative
Several highest sight names of word frequency quantity in sight spot；
2.1.2) by Baidu LBS open platform, alternative tourist attractions titles all to studied region carry out place name seat
The parsing of information is marked, but there are certain deviations it should be noted that the place name obtained parses information, fall in later data space
It needs to carry out certain work for correction during position, therefore all sight spot coordinates is parsed, obtain sight spot latitude and longitude coordinates
Information carries out alternative sight spot dropping place and the seat filtered out according to obtained sight spot latitude and longitude coordinates information in GIS software
Mark correction, after export generates the shapefile file at sight spot, link assigns point corresponding word frequency value, the size of set-point characterization；
Wherein, all sight spot coordinates are parsed, obtain sight spot latitude and longitude coordinates information, specifically includes:
A, application obtains the api interface key of Baidu LBS open platform；
B, the URL request that place name parsing is spelt according to geographical name data, is configured URL request parameter；Wherein, described
URL request parameter includes secret key code, object search type (specific sight name), affiliated city or province title；
C, qualified URL request parameter is saved as into txt text formatting, batch imports Locoy Spider software, sets respectively
Acquisition label, text template, operation task are set, to get each sight spot latitude and longitude coordinates information of screening.
2.1.3) the boundary base map in point and town or region is led from GIS software as cad file, in AutoCad
300m*300m grid is drawn in software, which covers the sight spot of all screenings；
2.1.4) by " the newly-built OD Cost matrix " of the Network Analyst tool in GIS software, according to each sight spot
The line between sight spot is generated, and calculates the geometrical length of line to get the distance arrived between each sight spot；
2.1.5 the line between each sight spot and closest two sight spots) is filtered out, reality and route fill in order to balance
Foot if two sight spot spacing are less than 1km, then separately takes the line between one and next neighbouring sight spot, to generate two adjacent to sight spot
Between shapefile file new corresponding to line；
2.1.6) according to the mode of airlink, by two adjacent to sight spot word frequency assignment in two lines between sight spot,
It is calculated with the gravity model in social physics, the word frequency temperature (i.e. relation intensity) of line and both ends sight spot between sight spot
Space length is related between concern temperature (i.e. word frequency temperature, while being also word frequency volumes of searches) itself, sight spot, therefore passes through following formula
The word frequency temperature of the line between sight spot of calculating two:
Wherein, CABIndicate the word frequency temperature of line between sight spot A and sight spot B, CAIndicate the word frequency temperature of sight spot A, CBTable
Show the word frequency temperature of sight spot B, lABIndicate the distance between sight spot A and sight spot B；
2.1.7 two) are calculated between sight spot after the word frequency temperature of line, the thickness that line is arranged in GIS software carries out
Characterization, and be stacked with the figure for characterizing each sight spot word frequency size together on the boundary base map in town or region, thus the trip of obtaining
Swim route tissue suggestion figure；
2.1.8) the inverse of the word frequency temperature of line between sight spot of calculating two, such as following formula:
To possess two line between sight spot of word frequency temperature reciprocal value, again the New-deployed Network data in GIS software
Collection, and attribute is added during newly-built, it is default according to the OD traffic for carrying out next step that assignment, which is arranged, with word frequency temperature inverse
Network analysis；
2.1.9 after) Network data set generates, pass through " the new road construction of the Network Analyst tool in GIS software
Diameter " is arranged any two to be passed through or more than two sight spots, solves and generate word frequency temperature inverse cost minimization, i.e. word frequency
The maximum path OD of temperature, so that the optimal travelling route for obtaining several highest sight spots of word frequency quantity is recommended.
2.2) each sight spot produce type and developing direction determine
2.2.1) every class produce in town or region are ranked up by word frequency quantity, if filtering out in every class produce
The dry highest produce title of word frequency quantity；
2.2.2 the preliminary understanding of) based on to produce type, sight spot feature and resources supplIes situations such as, uses Delphi
Several highest sight spots of word frequency quantity are matched with suitable tourism produce, obtain the synthesis that each sight spot corresponds to all kinds of produce
Weighted value is calculated using following formula:
Wherein, δjIndicate that several highest sight spots of word frequency quantity correspond to the comprehensive subjective weighted value of produce j, YijIt is i-th
People judges the weight of jth class produce, i=1,2 ..., n, j=1,2 ..., n；
2.2.3) the synthetic weights weight values of all kinds of produce are ranked up, obtain the produce class of each sights front three
Type is judged as that the sight spot is suitable for that matched produce type obtains to draw corresponding line of the produce title with sight name
It is suitable for the planning suggestion of produce of travelling to each sight spot.
2.3) the temperature distribution situation of the lodging facilities such as hotel, hotel
2.3.1 it) according to the lodging facilities title and its coordinate for obtaining town or region, is carried out in GIS software empty
Between dropping place and coordinate correction；
It 2.3.2) will be in Baidu's webpage word frequency quantity of lodging facilities title each in town or region and GIS software
Lodging facilities point is linked；
2.3.3 cuclear density analysis) is carried out according to the size of word frequency quantity, obtains lodging facilities in town or region
Word frequency temperature situation.
3) Overlaying analysis is oriented to optimal travel-line planning
3.1) travelling route project planning is provided
The comprehensive optimal travelling route recommendation for passing through several highest sight spots of word frequency quantity, several highest scapes of word frequency quantity
Point with the analysis such as suitable produce type matching as a result, can for optimal route by way of the corresponding travelling products of sight spot planning consideration
And project, to improve and deepen travel-line planning and its sight spot project planning along the line；
In addition, in set optimal route, can also be according to homogeneity sight spot duplicate by way of type in route situations such as, to trip
The planning and sight spot for swimming route, which are chosen, makes appropriate adjustment.
3.2) tour and travel information service's addressing suggestion is provided
Tour and travel information service relies on tourist district, and it includes tourist famous-city system that premiere feature, which is serviced for tourist district,
" eat, live, going, sightseeing, shopping and entertainment " six elements, including lodging facilities such as existing hotel, hotels.By travelling route organization chart
It is overlapped with the word frequency temperature figure of the lodging facilities such as hotel, hotel, concern temperature, the route temperature situation of comprehensive tourist attractions
And lodging facilities is equipped with situation etc., can provide reference for the addressing of tour and travel information service.
The analysis of travelling route project planning and tour and travel information service's addressing suggestion is based on internet word frequency, common to generate
Smart travel layout of roads.
Embodiment 2:
The present embodiment is an application example, by taking the tourism of Sihui, Guangdong analysis as an example, by analyzing in Sihui City
Sight spot information, produce type, lodging facilities information and sight spot, produce, point of staying word frequency of internet quantity etc., utilize Te Feier
Analysis tool etc. in method, ArcGIS software has obtained optimal travel-line planning result.Whole process includes basic data
Prepare to be oriented to optimal three parts of travel-line planning with arrangement, tourism condition criterion and Overlaying analysis.
1) basic data prepares and arranges
Using python software grabs Sihui City on Baidu's tour site main tourist attractions title, and pass through tune
Grind, data collection or other receive the title on money sources supplement Forest Park point, river valley floor, the potential sight spot such as historical relic points, thus
It determines all alternative tourist attractions name lists in Sihui City, amounts to 225 sight spots.
Determine agricultural, industry, custom culture three categories produce register, it is main according to " national industrial and agricultural products (commodity, object
Money) classification and code (standard GB/T 7635-87) ", " statistics use product classification catalogue " major class, middle class catalogue table etc. it is complete
State's produce register standard.
Using Locoy Spider software, by LBS open platform, obtains " hotel " in Sihui City, " hotel " etc. and live
Place service facility title totally 208 and corresponding latitude and longitude coordinates, address, comment grading information.
Using python software, the word frequency volumes of searches of each sight spot, lodging point, produce in Baidu's webpage, and each " scape are grabbed
Point title+produce title " is in the word frequency volumes of searches of Baidu's webpage, so that statistics obtains the word at Sihui City each sight spot and all kinds of produce
Frequency amount, all sight name word frequency amounts, all hotels and hotel facilities word frequency amount etc.
By Baidu's LBS open platform, alternative tourist attractions all to Sihui City carry out the parsing of place name coordinate information, obtain
Take geographic coordinate data.
2) tourism condition criterion
2.1) travelling route tissue is suggested
Filter out 30 highest sight spots of word frequency quantity, gained sight spot word frequency quantity between 19200~32100000,
As shown in Figure 2；
The highest sight spot dropping place of 30 word frequency quantity and coordinate correction are carried out in GIS software, it is corresponding that link assigns point
Word frequency volumes of searches, set-point characterization size, as shown in Figure 3；
The boundary base map of point and Sihui City is led from GIS software as cad file, 300m*300m is drawn in AutoCad
Grid, grid must cover all sight spots；
By " the newly-built OD Cost matrix " of Network Analyst tool in GIS software, sight spot is generated according to each sight spot
Between connection line, and calculate the geometrical length of line to get to the distance between each sight spot, as shown in Figure 4；
The line between each sight spot and closest two sight spots is filtered out, in order to balance reality and the abundance of route, if
Two sight spot spacing are less than 1km, then separately take the line between one and next neighbouring sight spot again, as shown in Figure 5.
By sight spot word frequency assignment in two lines between sight spot, two are calculated between sight spot using the formula (1) of embodiment 1
The word frequency temperature of line.
Two are calculated between sight spot after the word frequency intensity of line, the thickness that line is arranged in GIS software is characterized, and
It is stacked on the boundary base map together in Sihui City with the figure for characterizing each sight spot word frequency size, to obtain the travelling route group of Sihui City
Suggestion figure is knitted, as shown in Figure 6；
Four meeting emperor ridge Forest Park of citing selection and the Guangdong park Zhen Shan are as route starting point, using in GIS
Analysis tool, which is established and obtains optimal travelling route, recommends, as shown in Figure 7.
2.2) each sight spot produce type and developing direction determine
The word frequency quantity of all kinds of produce titles in the Sihui City got is ranked up, as shown in Fig. 8,9 and 10, screening
The highest produce title of 30 word frequency quantity out；
30 highest primary attractions of word frequency quantity are matched with suitable tourism produce using Delphi, are utilized
The formula (3) of embodiment 1 respectively obtains all kinds of produce to the subjective weight of each sight spot suitability.
It above-mentioned Delphi is calculated into resulting specific sight spot corresponds to the synthetic weights weight values of all kinds of produce and be ranked up, thus
The produce type of each sights front three is obtained, that is, is judged as that the sight spot is suitable for matched produce, to draw produce name
Claim with the corresponding line of sight name, obtain the planning suggestion to the suitable travelling products in each sight spot, as shown in figure 11.
2.3) the temperature distribution situation of the lodging facilities such as hotel, hotel
According to acquired each hotel, hotel latitude and longitude coordinates information, it is subjected to space dropping place and seat in GIS software
Mark correction, as shown in figure 12；
Each hotel, hotel word frequency volumes of searches and the hotel in GIS software, hotel facilities point that basic data is grabbed
It is linked, cuclear density analysis is done according to the size of word frequency amount, the lodgings such as the hotel studied region Nei Ge, hotel can be obtained and set
The concern temperature situation applied, as shown in figure 13；
3) Overlaying analysis is oriented to optimal travel-line planning
3.1) travelling route project planning is provided
Comprehensive four can emperor ridge Forest Park (sight spot A) --- the optimal travelling route in the Guangdong Forest Park Zhen Shan (sight spot B)
Recommend, the analysis such as each sight spot and suitable produce type matching as a result, can for the route by way of sight spot planning consideration it is corresponding
Travelling products and project, to improve and deepen travel-line planning and its sight spot project planning along the line；
In addition, in four meeting emperor ridge Forest Park (sight spot A) --- in Guangdong the Forest Park Zhen Shan (sight spot B) route,
Situations such as according to homogeneity sight spot duplicate by way of type in route, planning and sight spot to travelling route, which are chosen, makes appropriate tune
It is whole, cancel four field Hui Nan Forest Park sight spots up to situation by comparative analysis and path, directly by The Huacheng Temple ruins and Wen Hai
Book room is connected, the circuit recommendation after generating optimization, as shown in figure 14；
3.2) tour and travel information service's addressing suggestion is provided
The word frequency temperature figure of the lodging facilities such as travelling route organization chart and hotel, hotel is overlapped, comprehensive tourism scape
Concern temperature, route temperature situation and the lodging facilities of point are equipped with situation etc., are the addressing of the tour and travel information service of Sihui City
There is provided 3 with reference to selection, as shown in figure 15；It again can emperor ridge Forest Park (sight spot to four generated above based on this
A) --- Guangdong the Forest Park Zhen Shan (sight spot B) route is analyzed, and route is suitable for exporting final result then without adjustment.
In conclusion the method for the present invention using the zoning boundary in town or region as working base map, passes through scape of travelling
Point and potential sight name are collected, produce register arranges and the networks such as Baidu's tourism, Baidu search, Baidu's open platform are opened
Source data etc. is used as key data source, and emphasis is based on internet word frequency, further by Baidu's LBS open platform to sight spot name
Claim to carry out place name parsing, and the lodging facilities such as alternative tourist attractions, hotel hotel are carried out by space dropping place and seat by GIS software
Calibration just, overlaps acquired word frequency statistics and other information, carries out each sight spot produce type and developing direction judgement, travelling route
Suggestion, tour and travel information service's addressing suggestion etc. are organized in road, to generate optimal travel-line planning.
The above, only the invention patent preferred embodiment, but the scope of protection of the patent of the present invention is not limited to
This, anyone skilled in the art is in the range disclosed in the invention patent, according to the present invention the skill of patent
Art scheme and its patent of invention design are subject to equivalent substitution or change, belong to the scope of protection of the patent of the present invention.
Claims (6)
1. a kind of smart travel layout of roads householder method based on internet word frequency, it is characterised in that: the method includes with
Lower step:
S1, town or region are determined, using the main travel sight name of python software grabs town or region,
Potential sight name is collected and be added, determines all alternative tourist attractions titles in town or region；According to national produce
Register standard determines agricultural, work and custom culture three categories produce register；Specific city is obtained using Baidu's LBS open platform
The lodging facilities title and its coordinate in city or region；
S2, using alternative sight names all in python software search town or region Baidu's webpage word frequency quantity,
Baidu's webpage word frequency quantity, the Baidu's webpage word frequency quantity of each lodging facilities title of all kinds of produce titles；
S3, several highest sight names of word frequency quantity are screened in all alternative sight spots in town or region, to all
Alternative sight spot coordinate is parsed, and sight spot latitude and longitude coordinates information is obtained；According to obtained sight spot latitude and longitude coordinates information,
Drop point is carried out to the highest sight spot of several word frequency quantity on GIS software, assigns word frequency value；Sight spot line is generated using GIS software
Network, and calculate the distance between each sight spot；Filter out the line at each sight spot Yu closest two sight spot；With gravity model, by two
The word frequency hot value of the line between sight spot of word frequency value calculating two at neighbouring sight spot, generates travelling route tissue and suggests figure；It determines
Any two sight spot is automatically generated optimal travelling route and is recommended by GIS network analysis；
It is described use gravity model, by two adjacent to sight spot word frequency value calculate two between sight spot line word frequency hot value, such as
Following formula:
Wherein, CABIndicate the word frequency temperature of line between sight spot A and sight spot B, CAIndicate the word frequency temperature of sight spot A, CBIndicate sight spot
The word frequency temperature of B, lABIndicate the distance between sight spot A and sight spot B；
S4, the highest produce title of several word frequency quantity is filtered out in every class produce in town or region, using special luxuriant and rich with fragrance
You match several highest sight spots of word frequency quantity with suitable tourism produce method, obtain each sight spot and correspond to all kinds of produce
Synthetic weights weight values, and be ranked up, determine that each sight spot is suitable for matched produce type, so that obtaining is suitable for tourism to each sight spot
The planning suggestion of produce；
It is described that several highest sight spots of word frequency quantity are matched with suitable tourism produce using Delphi, obtain each scape
The synthetic weights weight values of the corresponding all kinds of produce of point, are calculated using following formula:
Wherein, δjIndicate that several highest sight spots of word frequency quantity correspond to the comprehensive subjective weighted value of produce j, YijFor i-th of people couple
It is judged in the weight of jth class produce, i=1,2 ..., n, j=1,2 ..., n；
S5, by the lodging facilities in town or region on GIS software drop point, assign word frequency value；According to word frequency quantity
Size carries out cuclear density analysis, obtains the word frequency temperature situation of lodging facilities in town or region；
S6, according to the optimal travelling route of generation recommend and determine be suitable for matched produce type, travelling route project is provided
Planning；Suggestion figure and obtained lodging facilities word frequency temperature is organized to overlap obtained travelling route, in tourist service
The heart carries out addressing；According to travelling route project planning and tour and travel information service's addressing, smart travel layout of roads is generated；
Step S3, specifically includes:
S31, all alternative sight spots in town or region are ranked up by word frequency quantity, are filtered out in all alternative sight spots
Several highest sight names of word frequency quantity；
S32, all alternative sight spot coordinates in town or region are parsed, obtains sight spot latitude and longitude coordinates information, root
According to obtained sight spot latitude and longitude coordinates information, the highest sight spot dropping place of several word frequency quantity and coordinate are carried out in GIS software
Correction, after export generates the shapefile file at sight spot, link assigns point corresponding word frequency value, the size of set-point characterization；
S33, the boundary base map of point and town or region is led from GIS software as cad file, in AutoCad software
300m*300m grid is drawn, which covers the sight spot of all screenings；
S34, " newly-built OD Cost matrix " by the Network Analyst tool in GIS software, generate scape according to each sight spot
Line between point, and the geometrical length of line is calculated to get the distance arrived between each sight spot；
S35, line between each sight spot and closest two sight spots is filtered out, if two sight spot spacing are less than 1km, then separately takes one
Line between item and next neighbouring sight spot, to generate two shapefile files new corresponding to line between sight spot；
S36, the mode according to airlink, by two adjacent to sight spot word frequency assignment in two lines between sight spot, with society
Gravity model in meeting physics is calculated, the word frequency temperature of the line between sight spot of calculating two；
S37, two being calculated between sight spot after the word frequency temperature of line, the thickness that line is arranged in GIS software is characterized, and
It is stacked with the figure for characterizing each sight spot word frequency size together on the boundary base map in town or region, to obtain travelling route group
Knit suggestion figure；
The inverse of S38, the word frequency temperature of line between sight spot of calculating two, such as following formula:
To possess two line between sight spot of word frequency temperature reciprocal value, again the New-deployed Network data set in GIS software, and
Attribute is added during newly-built, it is default according to the OD transportation network point for carrying out next step that assignment, which is arranged, with word frequency temperature inverse
Analysis；
After S39, Network data set generate, pass through " the newly-built path " of the Network Analyst tool in GIS software, setting
Any two to be passed through or more than two sight spots, solve and generate word frequency temperature inverse cost minimization, i.e. word frequency temperature is maximum
The path OD, thus obtain several highest sight spots of word frequency quantity optimal travelling route recommend.
2. a kind of smart travel layout of roads householder method based on internet word frequency according to claim 1, feature
Be: in step S1, the main travel sight name using python software grabs town or region is collected and is added
Enter potential sight name, determine all alternative tourist attractions titles in town or region, specifically include:
S11, using the IDLE tool in python software, open getPOIList file, operating file module is mentioned according to operation
Show that requirement sets file and saves title, Baidu's tourist attractions network address, and the corresponding webpage number of pages of input, after operation then
It automatically saves as csv file；
S12, a txt text file is created, the csv file that operation generates is dragged in txt file, is reopened after preservation
Csv format then obtains the main travel sight name of town or region on Baidu's tour site；
S13, sources are provided by investigation, data collection and other receipts, further searches for the potential sight spot name in town or region
Claim, is supplemented；
S14, arrangement obtain the name list of all alternative tourist attractions in town or region.
3. a kind of smart travel layout of roads householder method based on internet word frequency according to claim 1, feature
It is: in step S1, the lodging facilities title and its seat that town or region are obtained using Baidu's LBS open platform
Mark, specifically includes:
S15, application obtain the api interface key of Baidu LBS open platform；
S16, URL request parameter is configured；Wherein, the URL request parameter includes secret key code, object search type, square
The latitude and longitude coordinates of shape search range；
S17, configured URL request parameter is opened in a browser test, if the number of objects in object element is more than
760, then search unit is reduced, repartition latitude and longitude coordinates range, until all URL request parameters are qualified；
S18, qualified URL request parameter batch is imported into Locoy Spider software, acquisition label, text mould is respectively set
Plate, to obtain the title of lodging facilities, latitude and longitude coordinates, address, score information.
4. a kind of smart travel layout of roads householder method based on internet word frequency according to claim 1, feature
Be: in step S32, all alternative sight spot coordinates to town or region are parsed, and obtain sight spot longitude and latitude
Coordinate information is specifically included according to obtained sight spot latitude and longitude coordinates information:
1) application obtains the api interface key of Baidu LBS open platform；
2) URL request that place name parsing is spelt according to geographical name data, is configured URL request parameter；Wherein, the URL is asked
Seeking parameter includes secret key code, object search type, affiliated city or province title；
3) qualified URL request parameter is saved as into txt text formatting, batch imports Locoy Spider software, is respectively set and adopts
Collect label, text template, operation task, to get each sight spot latitude and longitude coordinates information of screening.
5. a kind of smart travel layout of roads householder method based on internet word frequency according to claim 1, feature
Be: step S4 is specifically included；
S41, every class produce in town or region are ranked up by word frequency quantity, filter out several word frequency in every class produce
The highest produce title of quantity；
S42, several highest sight spots of word frequency quantity are matched using Delphi with suitable tourism produce, obtains each scape
The synthetic weights weight values of the corresponding all kinds of produce of point；
S43, the synthetic weights weight values of all kinds of produce are ranked up, obtain the produce type of each sights front three, that is, sentences
Breaking as the sight spot is suitable for that matched produce type obtains to draw corresponding line of the produce title with sight name to each scape
Point is suitable for the planning suggestion of produce of travelling.
6. a kind of smart travel layout of roads householder method based on internet word frequency according to claim 1, feature
Be: step S5 is specifically included:
S51, according to the lodging facilities title and its coordinate for obtaining town or region, space dropping place is carried out in GIS software
It rectifies a deviation with coordinate；
S52, Baidu's webpage word frequency quantity of lodging facilities title each in town or region is set with the lodging in GIS software
It applies and is a little linked；
S53, cuclear density analysis is carried out according to the size of word frequency quantity, obtains the word frequency heat of lodging facilities in town or region
Spend situation.
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| CN106017488B (en) * | 2016-03-02 | 2019-05-21 | 电子科技大学 | A kind of group's trip route guidance method based on point of interest |
| CN107423837A (en) * | 2017-04-12 | 2017-12-01 | 宁夏丝路风情旅游网络股份有限公司 | The Intelligent planning method and system of tourism route |
| CN107330102B (en) * | 2017-07-06 | 2020-07-10 | 泉州市云旅旅游开发有限公司 | Whole journey tourism wisdom GIS online integrated management system |
| CN107330117B (en) * | 2017-07-13 | 2020-07-10 | 江西师范大学 | Travel integrated service system based on L BS and GIS |
| CN107729610B (en) * | 2017-09-15 | 2019-12-10 | 华南理工大学 | travel recommended route map generation method based on network travel notes |
| CN108491964A (en) * | 2018-03-13 | 2018-09-04 | 上海靖盈物联网科技有限公司 | A method of visiting route according to GPS location Automatic Optimal |
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