CN107491854A - Appraisal procedure and device, the equipment and computer-readable recording medium of population attraction - Google Patents

Appraisal procedure and device, the equipment and computer-readable recording medium of population attraction Download PDF

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Publication number
CN107491854A
CN107491854A CN201710526885.2A CN201710526885A CN107491854A CN 107491854 A CN107491854 A CN 107491854A CN 201710526885 A CN201710526885 A CN 201710526885A CN 107491854 A CN107491854 A CN 107491854A
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China
Prior art keywords
resident
target area
population
preset time
time period
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CN201710526885.2A
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Chinese (zh)
Inventor
阚长城
李志堂
严孙荣
江畅
高艾凤
项雯怡
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Baidu Online Network Technology Beijing Co Ltd
Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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Priority to CN201710526885.2A priority Critical patent/CN107491854A/en
Publication of CN107491854A publication Critical patent/CN107491854A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services

Abstract

The present invention provides a kind of appraisal procedure and device of population attraction, equipment and computer-readable recording medium.Its method includes：Based on the quantity of the resident mobile device in target area, the influx of the resident population in target area in preset time period is obtained；According to the influx of resident population of the multiple region Zhong Ge regions of reference in preset time period, and the influx of the resident population in target area in preset time period, the population attraction index of target area is assessed.Technical scheme, the deficiencies in the prior art can be made up, based on the quantity of the resident mobile device in target area, realize the assessment to the population attraction index of target area.Compared with prior art,, only can be to realize the assessment of population attraction index by the detection and analysis of some data without by artificial gathered data, operation cost is relatively low, and assessment cycle can be greatly saved, the assessment efficiency of population attraction can be effectively improved.

Description

Appraisal procedure and device, the equipment and computer-readable recording medium of population attraction
【Technical field】
The present invention relates to Computer Applied Technology field, more particularly to a kind of appraisal procedure of population attraction and device, Equipment and computer-readable recording medium.
【Background technology】
Due to the difference of the regional rate of economic development, the difference for the labour that can be accommodated, regional pair is caused The attraction of population just differs.For example, city is a more intensive region of population collection, the population attraction in city can To reflect the core competitiveness in the city to a certain extent.
Urban settlement is also in city, is to gather the relatively major population center to be formed with nonagricultural sector and nonagricultural population.City It is the important component of human civilization, city is also to get up with human civilization with progress, and city is in fast development During can show external attraction, urban attraction is substantially the attraction to population.In the prior art, city is assessed The mode of population attraction, mainly assessed by artificially collecting the data such as GDP, employment, quality of life, emolument and environment. Similar to the analysis of the population attraction to city, the population attraction in the regions such as each province, county can be analyzed, to analyze the area The economic development in domain and competitiveness etc..
The appraisal procedure of the population attraction in each region of prior art, because the data for needing manually to gather are more, fortune It is higher to seek cost；And measurement period is longer, cause the assessment of population attraction less efficient.
【The content of the invention】
The invention provides a kind of appraisal procedure and device of population attraction, equipment and computer-readable recording medium, for improving people The assessment efficiency of mouth attraction.
The present invention provides a kind of appraisal procedure of population attraction, and methods described includes：
Based on the quantity of the resident mobile device in target area, obtain in the target area in preset time period The influx of resident population；
According to the influx of resident population of each region in the preset time period in multiple regions of reference, With the influx of the resident population described in target area in preset time period, the population attraction of the target area is assessed Index.
Still optionally further, in method as described above, based on the quantity of the resident mobile device in target area, obtain The influx of resident population in the target area in preset time period, is specifically included：
Based on the quantity of resident mobile device when preset time period starts described in the target area, described in acquisition The quantity of resident population when preset time period starts described in target area；
The quantity of resident mobile device at the end of based on preset time period described in the target area, described in acquisition The quantity of resident population described in target area at the end of preset time period；
The quantity of resident population when preset time period starts according to the target area and it is described default when Between end cycle when resident population quantity, obtain resident population described in the target area in preset time period Influx.
Still optionally further, in method as described above, started based on preset time period described in the target area When resident mobile device quantity, obtain the number of resident population when preset time period starts described in the target area Amount, is specifically included：
The quantity of resident mobile device when preset time period starts according to the target area and the mesh Resident transformation ratio between mobile device quantity and the resident size of population in region is marked, is obtained pre- described in the target area The quantity of resident population when if the time cycle starts；
Accordingly, based on preset time period described in the target area at the end of resident mobile device quantity, The quantity of the resident population described in the target area at the end of preset time period is obtained, is specifically included：
The quantity of resident mobile device according to the target area at the end of preset time period and the mesh Resident transformation ratio between mobile device quantity and the resident size of population in region is marked, is obtained pre- described in the target area If the quantity of the resident population at the end of the time cycle.
Still optionally further, in method as described above, based on the quantity of the resident mobile device in target area, obtain Before the influx of resident population in the target area in preset time period, methods described also includes：
The resident shifting of the size of population, the target area obtained according to the statistics of the target area in statistics Dynamic number of devices, per capita disposable income and aging proportionality coefficient, use the normal of target area described in linear regression fit Transformation ratio between quantity in mobile device and the resident size of population.
Still optionally further, in method as described above, preset time period starts according to the target area When resident mobile device quantity and the target area in reside between mobile device quantity and the resident size of population turn Change coefficient, before the quantity for obtaining resident population when preset time period starts described in the target area, methods described Also include：
The user behaviors log of all mobile subscribers of intended application in the target area, counts the target area In various types of mobile devices proportionate relationship；
Count the quantity of the resident mobile device of first kind when preset time period starts described in the target area；
The quantity of the resident mobile device of first kind when preset time period starts according to target area With the proportionate relationship of various types of mobile devices in the target area, the week of preset time described in the target area is obtained The quantity of resident mobile device when phase starts；
Accordingly, the quantity of the resident mobile device according to the target area at the end of preset time period and The transformation ratio between mobile device quantity and the resident size of population is resided in the target area, is obtained in the target area Before the quantity of resident population at the end of the preset time period, methods described also includes：
Count described in the target area the resident mobile device of the first kind at the end of preset time period Quantity；
According to target area at the end of preset time period the resident mobile device of the first kind quantity With the proportionate relationship of various types of mobile devices in the target area, the week of preset time described in the target area is obtained The quantity of resident mobile device at the end of phase.
Still optionally further, in method as described above, count preset time period described in the target area and start When or at the end of the first kind resident mobile device quantity, specifically include：
When the preset time period starts or at the end of, each first kind in the target area Mobile device positioning daily record, multiple resident clusters are excavated in the target area；
According to the positioning daily record of the mobile device of each first kind, the movement of the first kind corresponding to excavation is set The standby characteristic information in each resident cluster；
According to characteristic information of the mobile device of each first kind in each resident cluster and training in advance with Machine forest model, identify the type of each resident cluster of the mobile device of each first kind；The type includes house；
Count the shifting that the resident cluster that the type is family is located at all first kind in the target area The quantity of dynamic equipment, as when preset time period starts described in the target area or at the end of the first kind it is resident The quantity of mobile device.
Still optionally further, in method as described above, according to each region in multiple regions of reference described pre- If the stream of the resident population described in the influx of the resident population in the time cycle, the target area in preset time period Enter amount, assess the population attraction index of the target area, specifically include：
According to the influx of resident population of each region in the preset time period in multiple regions of reference With the influx of the resident population described in the target area in preset time period, the described default of each region is calculated The influx of averagely resident population in time cycle；
By the influx of the resident population described in the target area in preset time period divided by each region The influx of averagely resident population in the preset time period, obtains the population attraction index of the target area.
The present invention provides a kind of apparatus for evaluating of population attraction, and described device includes：
Acquisition module, for the quantity based on the resident mobile device in target area, obtain pre- in the target area If the influx of the resident population in the time cycle；
Evaluation module, it is resident in the preset time period for each region in multiple regions according to reference The influx of population, and the influx of the resident population described in target area in preset time period, assess the target area The population attraction index in domain.
Still optionally further, in device as described above, the acquisition module, it is specifically used for：
Based on the quantity of resident mobile device when preset time period starts described in the target area, described in acquisition The quantity of resident population when preset time period starts described in target area；
The quantity of resident mobile device at the end of based on preset time period described in the target area, described in acquisition The quantity of resident population described in target area at the end of preset time period；
The quantity of resident population when preset time period starts according to the target area and it is described default when Between end cycle when resident population quantity, obtain resident population described in the target area in preset time period Influx.
Still optionally further, in device as described above, the acquisition module, specifically for according in the target area In the quantity of resident mobile device when the preset time period starts and the target area reside mobile device quantity with Transformation ratio between the resident size of population, obtains resident population when preset time period starts described in the target area Quantity；
The acquisition module, specifically it is additionally operable to resident at the end of preset time period according to the target area The transformation ratio between mobile device quantity and the resident size of population is resided in the quantity of mobile device and the target area, is obtained Take the quantity of the resident population described in the target area at the end of preset time period.
Still optionally further, in device as described above, described device also includes：
Fitting module, counted for the size of population that is obtained according to the statistics of the target area, the target area When resident mobile device quantity, per capita disposable income and the aging proportionality coefficient, use linear regression fit institute State the transformation ratio between the resident mobile device quantity of target area and the resident size of population.
Still optionally further, in device as described above, described device also includes statistical module；
The statistical module, the behavior day for all mobile subscribers of the intended application in the target area Will, count the proportionate relationship of various types of mobile devices in the target area；
The statistical module, it is additionally operable to count first kind when preset time period starts described in the target area The quantity of resident mobile device；
The acquisition module, it is additionally operable to first kind when preset time period starts according to target area The proportionate relationship of various types of mobile devices, obtains the target area in the quantity of resident mobile device and the target area The quantity of resident mobile device when preset time period starts described in domain；
Accordingly, the statistical module, it is additionally operable to count described in the target area institute at the end of preset time period State the quantity of the resident mobile device of the first kind；
The acquisition module, it is additionally operable to according to target area the first kind at the end of preset time period The proportionate relationship of various types of mobile devices, obtains the target area in the quantity of resident mobile device and the target area The quantity of resident mobile device described in domain at the end of preset time period.
Still optionally further, in device as described above, the statistical module, it is specifically used for：
When the preset time period starts or at the end of, each first kind in the target area Mobile device positioning daily record, multiple resident clusters are excavated in the target area；
According to the positioning daily record of the mobile device of each first kind, the movement of the first kind corresponding to excavation is set The standby characteristic information in each resident cluster；
According to characteristic information of the mobile device of each first kind in each resident cluster and training in advance with Machine forest model, identify the type of each resident cluster of the mobile device of each first kind；The type includes house；
Count the shifting that the resident cluster that the type is family is located at all first kind in the target area The quantity of dynamic equipment, as when preset time period starts described in the target area or at the end of the first kind it is resident The quantity of mobile device.
Still optionally further, in device as described above, the evaluation module, it is specifically used for：
According to the influx of resident population of each region in the preset time period in multiple regions of reference With the influx of the resident population described in the target area in preset time period, the described default of each region is calculated The influx of averagely resident population in time cycle；
By the influx of the resident population described in the target area in preset time period divided by each region The influx of averagely resident population in the preset time period, obtains the population attraction index of the target area.
The present invention also provides a kind of computer equipment, and the equipment includes：
One or more processors；
Memory, for storing one or more programs,
When one or more of programs are by one or more of computing devices so that one or more of processing Device realizes the appraisal procedure of population attraction as described above.
The present invention also provides a kind of computer-readable medium, is stored thereon with computer program, the program is held by processor The appraisal procedure of population attraction as described above is realized during row.
Appraisal procedure and device, the equipment and computer-readable recording medium of the population attraction of the present invention, by based in target area Resident mobile device quantity, obtain the influx of the resident population in target area in preset time period；According to reference Resident population of multiple region Zhong Ge regions in preset time period influx, and preset time period in target area The influx of interior resident population, assess the population attraction index of target area.Technical scheme, it can make up existing There is the deficiency of technology, based on the quantity of the resident mobile device in target area, realize and the population attraction of target area is referred to Several assessments.Compared with prior art, technical scheme, without by artificial gathered data, only passing through some data Detection and analysis can be to realize the assessment of population attraction index, operation cost is relatively low, and with artificial collection and Statistics is compared, and can greatly save assessment cycle, therefore, it is possible to effectively improve the assessment efficiency of population attraction.
【Brief description of the drawings】
Fig. 1 is the flow chart of the appraisal procedure embodiment of the population attraction of the present invention.
Fig. 2 is the urban population flow schematic diagram that the present embodiment provides.
Fig. 3 is the schematic diagram of the population attraction index in multiple cities that the present embodiment provides.
Fig. 4 is the structure chart of the apparatus for evaluating embodiment one of the population attraction of the present invention.
Fig. 5 is the structure chart of the apparatus for evaluating embodiment two of the population attraction of the present invention.
Fig. 6 is the structure chart of the computer equipment embodiment of the present invention.
Fig. 7 is a kind of exemplary plot of computer equipment provided by the invention.
【Embodiment】
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with the accompanying drawings with specific embodiment pair The present invention is described in detail.
Fig. 1 is the flow chart of the appraisal procedure embodiment of the population attraction of the present invention.As shown in figure 1, the present embodiment The appraisal procedure of population attraction, specifically may include steps of：
100th, the quantity based on the resident mobile device in target area, obtain in target area in preset time period The influx of resident population；
The executive agent of the appraisal procedure of the population attraction of the present embodiment is the apparatus for evaluating of population attraction.This implementation The apparatus for evaluating of the population attraction of example can be an independent entity.The apparatus for evaluating master of the population attraction of the present embodiment It is used to assess the population attraction of certain target area.The target area of the present embodiment can be a province, one The region of city, town etc. Administration partition；Or can also be using other geographic factors to divide region.Namely Say, granule size that the target area of the present embodiment can be according to the actual requirements adjusts.
Unlike the prior art, the main manually gathered data of the assessment of the population attraction of prior art.And by It is the necessary equipment that existing people carry with mobile device such as mobile phone, the quantity of mobile device exists in a region The quantity for the population that can reflect in the region to a certain extent, accordingly, based on to resident in target area in the present embodiment Mobile device is analyzed to realize the assessment of population attraction.
For example, the step 100 " quantity based on the resident mobile device in target area, is obtained in target area and preset The influx of resident population in time cycle ", specifically may include steps of：
(a1) quantity of resident mobile device when starting based on preset time period in target area, target area is obtained The quantity of resident population when middle preset time period starts；
(a2) based on preset time period in target area at the end of resident mobile device quantity, obtain target area The quantity of resident population at the end of middle preset time period；
(a3) according to the quantity and preset time period knot of resident population when preset time period starts in target area The quantity of resident population during beam, obtain the influx of the resident population in target area in preset time period.
In the present embodiment, the population attraction of target area is analyzed, can be using preset time period as research object, this is pre- If the time cycle that the time cycle is to be analyzed.For example, some target area population attraction of 1 year is analyzed, preset time week Phase is just 1 year.The population attraction in some one season of target area is analyzed, preset time period is just the first quarter.
Due to the population attraction of target area to be analyzed, just need to obtain in preset time period, the target area The influx of resident population.Therefore, the number of resident mobile device when can be started based on preset time period in target area Amount, the quantity of resident population when preset time period starts in target area is obtained, then based on preset time in target area The quantity of resident mobile device during end cycle, obtain the number of the resident population in target area at the end of preset time period Amount.For example, analyze some the region first quarter or one month population attraction when, can skim newly added equipment or The influence of the factors such as positioning covering growth, using the quantity of the resident population at the end of preset time period in target area, subtracts The quantity of resident mobile device when going the preset time period to start, is just obtained normal in preset time period in the target area In the influx of population.
Still optionally further, " resident movement when being started based on preset time period in target area is set the step (a1) Standby quantity, obtain the quantity of resident population when preset time period starts in target area ", it can specifically include：According to Mobile device quantity is resided in the quantity of resident mobile device when preset time period starts in target area and target area With the transformation ratio between the resident size of population, the number of resident population of preset time period when starting in target area is obtained Amount.
The quantity of the mobile device used due to the quantity of the resident population in a target area and resident population is differed It is fixed essentially equal, but can have a corresponding relation between the quantity of resident mobile device and the quantity of resident population, for example, In the present embodiment, it is assumed that the corresponding relation is resident transformation ratio between mobile device quantity and the resident size of population, so, Count on after the quantity of resident mobile device when preset time period starts in target area, can be with by target area The quantity of resident mobile device when preset time period starts, it is multiplied by the target area and resides mobile device quantity with residing Transformation ratio between the size of population, just obtain the quantity of resident population when preset time period starts in the target area.
Similarly, the step (a2) " quantity of the resident mobile device at the end of based on preset time period in target area, Obtain the quantity of the resident population in target area at the end of preset time period ", it can specifically include：According in target area Mobile device quantity and resident population are resided in the quantity of resident mobile device at the end of preset time period and target area Transformation ratio between quantity, obtain the quantity of the resident population in target area at the end of preset time period.
Similarly, the quantity of the resident mobile device at the end of preset time period in target area can also be multiplied by this The transformation ratio between mobile device quantity and the resident size of population is resided in target area, just obtains presetting in the target area The quantity of resident population at the end of time cycle.
Still optionally further, before the step (a1) and (a2), can also comprise the following steps：According to target area Count resident mobile device quantity, per capita disposable income and the old-age group of the obtained size of population, target area in statistics Change proportionality coefficient, use the conversion between the resident mobile device quantity of linear regression fit target area and the resident size of population Coefficient.
In the present embodiment, the transformation ratio between mobile device quantity and the resident size of population is resided by analyzing influence Parameter, come the transformation ratio being fitted between resident mobile device quantity and the resident size of population.For example, a target area, The size of population of different time points and the quantity of resident mobile device are different from, and the size of population is more, relative resident shifting The quantity of dynamic equipment is just more.And due to the use of mobile device, it is necessarily required to the certain asset-buying movement of user's consumption and sets It is standby, and need to pay certain spending amount in every month.Therefore the per capita disposable income of the target area is higher, relatively The quantity of resident mobile device quantity also can be higher.In addition, using mobile device user deviation and the younger generation, therefore, The aging proportionality coefficient of target area can also influence resident transformation ratio between mobile device quantity and the resident size of population, Accordingly, aging proportionality coefficient is higher, then shows that the ratio of young man is lower, then resides the quantity of mobile device relatively just Can be fewer；And aging proportionality coefficient is lower, then show that the ratio of young man is higher, then reside the quantity of mobile device relatively Will be more.Then the size of population that is obtained according to the statistics at the target area multiple time points, target area are in statistics Resident mobile device quantity, per capita disposable income and aging proportionality coefficient, use linear regression fit target area Resident transformation ratio between mobile device quantity and the resident size of population.In practical application, during fitting, other can also be referred to The other specification of the transformation ratio between the resident mobile device quantity of target area and the resident size of population may be influenceed, No longer citing repeats one by one for this.Wherein in fitting, the size of population that the statistics that uses obtains can use the portion of official of correlation Door statistics and disclosed data.
Still optionally further, step (a1) " resident mobile device when being started based on preset time period in target area Quantity, obtain the quantity of resident population of preset time period when starting in target area " before, can also include：
(b1) user behaviors log of all mobile subscribers of the intended application in target area, count each in target area The proportionate relationship of the mobile device of type；
In current in the market, the mobile device that user uses includes different types, such as makes on domestic market The type of mobile device mainly includes Android types and IOS types, in practical application, can also include small part its The mobile device of his type, such as Window.Can be to the behavior day of all users of target area in some intended application Will, analyze the ratio of the quantity of various types of mobile devices of the target area.Certain intended application be a use compared with For popularization, the application that essentially all user can use.
For example, it is contemplated that to the negligible amounts of other kinds of mobile device on domestic market, can be neglected in the present embodiment Slightly, the mobile device of Android types and IOS types is only considered.Due to mobile phone Baidu, to be that a whole people both know about more conventional Search application.In the present embodiment, can according to the user behaviors log of all mobile subscribers of the mobile phone Baidu of a target area, The quantity for carrying out the wherein mobile device of the quantity of the mobile device of Android types and IOS types can be analyzed.Then take The ratio of the quantity of the mobile device of Android types and the quantity of the mobile device of IOS types, as in the target area The proportionate relationship of the mobile device of Android types and the mobile device of IOS types.
(b2) quantity of the resident mobile device of first kind when preset time period starts in target area is counted；
In the present embodiment, using the mobile device of the first kind as the target area in the movement of type that is readily detected set It is standby.For example, the mobile device of the first kind in the present embodiment can be the mobile device of Android types.Due to Android The particularity of the operating system of the mobile device of type, in target domain, it is more convenient for entering the mobile device of Android types Row positioning, consequently facilitating being counted to the quantity of the mobile device of Android types.
For example, alternatively, the step (b2) can specifically comprise the following steps respectively：
(c1) when preset time period starts, the positioning day of the mobile device of each first kind in target area Will, multiple resident clusters are excavated in the target area；
For example, specifically can be in the target area on the mobile device of each Android types or Android types Install in the system of mobile device or on the mobile device of Android types and specifically apply (Application；App), it is right The mobile device of Android types is positioned, so as to obtain the positioning daily record of the mobile device of each Android type, And the excavation of Density Clustering is carried out in the space of target area, such as the noise application space cluster based on density can be used (Density-Based Spatial Clustering of Applications with Noise；DBSCAN algorithm) enters Line density clusters.Density clustering algorithm DBSCAN is a more representational density-based algorithms, with division and Hierarchy clustering method is different, and cluster is defined as the maximum set of the connected point of density by it, can be with area highdensity enough Domain is divided into cluster, and the cluster of arbitrary shape can be found in the spatial database of noise.
In the present embodiment when preset time period starts, multiple resident clusters in target area are excavated, nor according to The positioning daily record data at one time point, but need the preset time period start before there is the default of certain time length Period, and require that the preset time period comprises at least one or two cycle.Such as the positioning daily record in one to two week can be included, Multiple resident clusters of the mobile device of the Android types can just be excavated.Since within one or two time cycle, user Behavior there is certain rule, for example, on every Mondays to five set time scope working, go home, After Hours can be in fixation Period Nei Qu supermarket do shopping or go body-building, weekend also have regular time section go training class, library or other Place etc..In the present embodiment, the resident cluster excavated is to grow the time stayed gone out according to the positioning Web log mining of mobile device The longer location point of degree.Each resident cluster identifies a slow-witted place of the mobile device, for example, the family of the user of mobile device Position can form a resident cluster；The position of the company of the user of mobile device can form a resident cluster；It is if mobile The user of equipment is not resident user, and the hotel often gone, the position in hotel just forms a resident cluster；According to similar side Formula, what the user of mobile device often went can also form a resident cluster elsewhere.
(c2) according to the positioning daily record of the mobile device of each first kind, the mobile device of the first kind exists corresponding to excavation Characteristic information in each resident cluster；
Further, can also be according to the positioning daily record of the mobile device of each first kind, the first kind corresponding to excavation Characteristic information of the mobile device in each resident cluster.Such as the characteristic information of each resident cluster of excavation can include user job The mean time that day stays in the average length of time stayed during this resides cluster and period distribution, user's day off reside cluster at this Between length and the period distribution.Or it is additionally may included in the WIFI used in the resident cluster feature.The feature of the WIFI Working day can be included using the average length of time and period of the WIFI in the resident cluster is distributed, day off uses this normal The average length of time of WIFI in cluster and period distribution；The number of days for connecting the WIFI in the resident cluster can also be included Ratio, and connect the frequency for residing the WIFI in cluster and be distributed business etc..In practical application, each resident cluster can also be excavated Other characteristic informations, no longer distance repeats one by one herein.
(c3) according to the random gloomy of characteristic information of the mobile device of each first kind in each resident cluster and training in advance Woods model, identify the type of each resident cluster of the mobile device of each first kind；The type includes house；
In the present embodiment, it is also necessary to training in advance Random Forest model, it is necessary to pre- when training the Random Forest model A plurality of training data is first gathered, every training data includes the shifting of a first kind such as Android types of the target area Which parameter characteristic information in each resident cluster of dynamic equipment, specifically include for the characteristic information of each resident cluster, may be referred to The record of above-described embodiment, is repeated no more.In every training data, in each resident cluster of the mobile device of Android types Characteristic information, an one-dimensional vector, a kind of characteristic information of resident cluster of element representation of vectorial each position can be formed. And in every training data, the type of each resident cluster of the mobile device of the Android types is known.Then can profit The Random Forest model is trained with each bar training data, during training, can input the spy of each resident cluster of every training data Reference ceases so that Random Forest model exports the type of each resident cluster, during training, due to the type of each resident cluster be it is known, If the type of the resident cluster of Random Forest model output is incorrect, the parameter of Random Forest model can be adjusted so that it is exported The correctly type of resident cluster.By using several training datas, Random Forest model is trained, it may be determined that random gloomy The parameter of woods model, so that it is determined that Random Forest model.Random Forest model after it is determined that inputs the first kind when in use, to it Characteristic information of the mobile device of type in each resident cluster, the Random Forest model can be to identify the movement of the first kind The type of each resident cluster of equipment, such as each resident cluster is family, or company, either for gymnasium or elsewhere.
It should be noted that in the present embodiment, train during Random Forest model and identified using the Random Forest model normal During type in cluster, the parameter that the characteristic information of the mobile device of the used first kind in each resident cluster includes must be Consistent.
(c4) measurement type is located at the quantity of the mobile device of all first kind in target area for the resident cluster of family, The quantity of the resident mobile device of first kind when starting as preset time period in target area.
Due in the present embodiment, being finally whether to count the user of the mobile device be resident user, so the target In region, the resident cluster of the only user of mobile device has house, and the mobile device is just the resident mobile device of the target area, The user of the mobile device can be just the resident user of the target area.Therefore, can be using measurement type as family in the present embodiment Resident cluster be located at all first kind in target area mobile device quantity, as preset time week in target area The quantity of the resident mobile device of first kind when phase starts.
(b3) according to the quantity and mesh of the resident mobile device of first kind when preset time period starts in target area The proportionate relationship of various types of mobile devices in region is marked, obtains resident shifting when preset time period starts in target area The quantity of dynamic equipment.
Due to above having got the proportionate relationship of various types of mobile devices in target area, and in target area The quantity of the resident mobile device of first kind when preset time period starts, so as to it is counter release in target area preset when Between resident mobile device of cycle when starting quantity.
For example, in an area, exemplified by only including the mobile device of Android types and the mobile device of IOS types, If by the statistics of the step (b1) in above-described embodiment, can learn Android types in the region mobile device and The proportionate relationship of the mobile device of IOS types is 4:1, it is assumed that in the region, each user uses a mobile device, if step Suddenly (c1) counts on the quantity W of the resident mobile device of Android types when preset time period starts in target area, then The quantity of the anti-resident mobile device for releasing IOS types when preset time period starts in target area is W/4, then target Resident mobile device when preset time period starts in region (includes resident mobile device and the IOS type of Android types Resident mobile device) quantity be 5W/4.
Accordingly, alternatively, step (a2) " the resident mobile device at the end of based on preset time period in target area Quantity, obtain the quantity of the resident population in target area at the end of preset time period " before, following step can also be included Suddenly：
(d1) quantity of the resident mobile device of the first kind at the end of preset time period in target area is counted；
Similarly, " the resident movement of the first kind at the end of preset time period in target area is counted for step (d1) The quantity of equipment ", specifically may include steps of：
(e1) at the end of preset time period, the positioning day of the mobile device of each first kind in target area Will, multiple resident clusters are excavated in the target area；
(e2) according to the positioning daily record of the mobile device of each first kind, the mobile device of the first kind exists corresponding to excavation Characteristic information in each resident cluster；
(e3) according to the random gloomy of characteristic information of the mobile device of each first kind in each resident cluster and training in advance Woods model, identify the type of each resident cluster of the mobile device of each first kind；Type includes house；
(e4) measurement type is located at the quantity of the mobile device of all first kind in target area for the resident cluster of family, The quantity of the resident mobile device of the first kind at the end of as preset time period in target area.
(d2) according to the quantity and mesh of the resident mobile device of the first kind at the end of preset time period in target area The proportionate relationship of various types of mobile devices in region is marked, obtains the resident shifting at the end of preset time period in target area The quantity of dynamic equipment.
The step of the present embodiment (d1)-(d2) and (e1)-(e4), may be referred to step (b2) in above-described embodiment- (b3) and (c1)-(c4) specific implementation, realize the resident shifting obtained in target area at the end of preset time period The quantity of dynamic equipment, referring in detail to the record of above-described embodiment, will not be repeated here.
101st, the influx of the resident population according to multiple region Zhong Ge regions of reference in preset time period, and mesh The influx of the resident population in region in preset time period is marked, assesses the population attraction index of target area.
Because the population attraction of an independent target area can not be judged, the population of the target area of the present embodiment attracts Power is necessarily for other regions.Therefore, it is necessary to reference to implementing in multiple regions in the present embodiment.For example, according to The influx of resident population in target area in above-described embodiment in preset time period, can get the multiple of reference Regional is in the influx for setting the resident population in the time cycle in region, so as to according to regional in multiple regions The influx of resident population in the influx for setting the resident population in the time cycle and target area in preset time period, Assess the population attraction index of target area.
For example, the step 101 is " according to resident population of the multiple region Zhong Ge regions of reference in preset time period The influx of resident population in influx, target area in preset time period, the population attraction for assessing target area refer to Number ", specifically may include steps of：
(f1) influx and mesh of the resident population according to multiple region Zhong Ge regions of reference in preset time period The influx of the resident population in region in preset time period is marked, is calculated average resident in the preset time period in each region The influx of population；
(f2) by the influx of the resident population in target area in preset time period divided by the preset time in each region The influx of averagely resident population in cycle, obtains the population attraction index of target area.
Specifically, the inflow of the resident population that is, by multiple region Zhong Ge regions of reference in preset time period After the influx summation of resident population in amount and target area in preset time period, it is averaged, as the pre- of each region If the influx of the averagely resident population in the time cycle.Then by the resident population in target area in preset time period The influx of averagely resident population in influx divided by the preset time period in each region, the population for obtaining target area attract Power index.So, if the population attraction index of target area is more than 1, represent that the population attraction of the target area is larger, greatly Average in each region of reference.If the population attraction index of target area is less than 1, represent that the population of the target area is inhaled Gravitation is smaller, less than the average in each region of reference.If the population attraction index of target area is equal to 1, the target is represented The population attraction in region is general, equal to the average in each region of reference.
The appraisal procedure of the population attraction of the present embodiment, pass through the number based on the resident mobile device in target area Amount, obtain the influx of the resident population in target area in preset time period；According to multiple region Zhong Ge regions of reference The influx of resident population in preset time period, and the inflow of the resident population in target area in preset time period Amount, assess the population attraction index of target area.The technical scheme of the present embodiment, the deficiencies in the prior art, base can be made up The quantity of resident mobile device in target area, realize the assessment to the population attraction index of target area.With it is existing Technology is compared, the technical scheme of the present embodiment, without by artificial gathered data, only by the detection and analysis of some data just The assessment of population attraction index can be realized, operation cost is relatively low, and compared with artificial collection and statistics, Ke Yi great The earth saves assessment cycle, therefore, it is possible to effectively improve the assessment efficiency of population attraction.
Below using the granularity in region as city, a kind of applied field of the appraisal procedure of the population attraction of the present embodiment is introduced Scape.Fig. 2 is the urban population flow schematic diagram that the present embodiment provides.As shown in Fig. 2 with the country several big city Beijing, on Exemplified by sea, Guangzhou and Shenzhen, each city has that population flows into and population flows out.Fig. 3 is what the present embodiment provided The schematic diagram of the population attraction index in multiple cities.As shown in figure 3, the population attraction index in each city, be all according to The appraisal procedure of the population attraction of above-described embodiment, is evaluated.The wherein population attraction index highest in Shenzhen, is much larger than Average.And the population attraction index for also having some small and medium-sized cities is less than 1, it is below the average.
Fig. 4 is the structure chart of the apparatus for evaluating embodiment one of the population attraction of the present invention.As shown in figure 4, the present embodiment Population attraction apparatus for evaluating, can specifically include：Acquisition module 10 and evaluation module 11.
Wherein acquisition module 10 is used for the quantity based on the resident mobile device in target area, obtains pre- in target area If the influx of the resident population in the time cycle；
Evaluation module 11 is used for the resident population in preset time period according to multiple region Zhong Ge regions of reference The influx of resident population in influx, and the target area of the acquisition of acquisition module 10 in preset time period, assesses target The population attraction index in region.
The apparatus for evaluating of the population attraction of the present embodiment, the assessment of population attraction is realized by using above-mentioned module Realization principle and technique effect are identical with realizing for above-mentioned related method embodiment, and it is real to may be referred to above-mentioned correlation technique in detail The record of example is applied, will not be repeated here.
Fig. 5 is the structure chart of the apparatus for evaluating embodiment two of the population attraction of the present invention.As shown in figure 5, the present embodiment Population attraction apparatus for evaluating on the basis of the technical scheme of above-mentioned embodiment illustrated in fig. 4, further in further detail Introduce technical scheme.
In the apparatus for evaluating of the population attraction of the present embodiment, acquisition module 10 is specifically used for：
The quantity of resident mobile device when being started based on preset time period in target area, obtain pre- in target area The quantity of resident population when if the time cycle starts；
The quantity of resident mobile device at the end of based on preset time period in target area, obtain pre- in target area If the quantity of the resident population at the end of the time cycle；
At the end of the quantity and preset time period of resident population when preset time period starts in target area Resident population quantity, obtain the influx of the resident population in target area in preset time period.
In the apparatus for evaluating of the population attraction of the present embodiment, acquisition module 10 is specifically used for presetting according in target area Mobile device quantity and the resident size of population are resided in the quantity of resident mobile device when time cycle starts and target area Between transformation ratio, obtain the quantity of resident population of preset time period when starting in target area；
Acquisition module 10 is specifically additionally operable to according to the resident mobile device at the end of preset time period in target area The transformation ratio between mobile device quantity and the resident size of population is resided in quantity and target area, is obtained pre- in target area If the quantity of the resident population at the end of the time cycle.
Still optionally further, as shown in figure 5, in the apparatus for evaluating of the population attraction of the present embodiment, in addition to fitting mould Block 12.
Fitting module 12 be used for obtained according to the statistics of target area the size of population, target area statistics when residing Mobile device quantity, per capita disposable income and aging proportionality coefficient, use the resident of linear regression fit target area Transformation ratio between mobile device quantity and the resident size of population.
Accordingly, acquisition module 10 be specifically used for according to when preset time period starts in target area or at the end of Mobile device quantity and the resident size of population are resided in the target area that the quantity and fitting module 12 of resident mobile device are fitted Between transformation ratio, obtain preset time period in target area when starting or at the end of resident population quantity.
Still optionally further, as shown in figure 5, in the apparatus for evaluating of the population attraction of the present embodiment, in addition to statistics mould Block 13.
The user behaviors log of all mobile subscribers of intended application of the statistical module 13 in target area, count target area The proportionate relationship of various types of mobile devices in domain；
The resident mobile device of first kind when counting that preset time period starts in target area of statistical module 13 Quantity；
First kind when preset time period starts in the target area counted according to statistical module 13 of acquisition module 10 The quantity of resident mobile device and the proportionate relationship of various types of mobile devices in target area, obtain pre- in target area The quantity of resident mobile device when if the time cycle starts；
Accordingly, statistical module 13 is additionally operable to count in target area the resident of the first kind at the end of preset time period The quantity of mobile device；
Acquisition module 10 is additionally operable in the target area according to the statistics of statistical module 13 first at the end of preset time period The proportionate relationship of various types of mobile devices in the quantity of the resident mobile device of type and target area, obtain target area The quantity of resident mobile device at the end of middle preset time period.
Still optionally further, in the apparatus for evaluating of the population attraction of the present embodiment, statistical module 13 is specifically used for：
When preset time period starts or at the end of, the mobile device of each first kind in target area Daily record is positioned, excavates multiple resident clusters in the target area；
According to the positioning daily record of the mobile device of each first kind, the mobile device of the first kind corresponding to excavation is each normal Characteristic information in cluster；
According to characteristic information of the mobile device of each first kind in each resident cluster and the random forest mould of training in advance Type, identify the type of each resident cluster of the mobile device of each first kind；Type includes house；
Measurement type is located at the quantity of the mobile device of all first kind in target area for the resident cluster of family, as When preset time period starts in target area or at the end of the first kind resident mobile device quantity.
Still optionally further, in the apparatus for evaluating of the population attraction of the present embodiment, evaluation module 11 is specifically used for：
According to the influx of resident population of the multiple region Zhong Ge regions of reference in preset time period and obtain mould The influx of resident population in the target area that block obtains in preset time period, in the preset time period for calculating each region Averagely resident population influx；
By the influx of the resident population in target area in preset time period divided by the preset time period in each region The influx of interior averagely resident population, obtains the population attraction index of target area.
The apparatus for evaluating of the population attraction of the present embodiment, the assessment of population attraction is realized by using above-mentioned module Realization principle and technique effect are identical with realizing for above-mentioned related method embodiment, and it is real to may be referred to above-mentioned correlation technique in detail The record of example is applied, will not be repeated here.
Fig. 6 is the structure chart of the computer equipment embodiment of the present invention.As shown in fig. 6, the computer equipment of the present embodiment, Including：One or more processors 30, and memory 40, memory 40 are used to store one or more programs, work as memory The one or more programs stored in 40 are performed by one or more processors 30 so that one or more processors 30 are realized such as The appraisal procedure of the population attraction of figure 1 above illustrated embodiment.In embodiment illustrated in fig. 6 exemplified by including multiple processors 30.
For example, Fig. 7 is a kind of exemplary plot of computer equipment provided by the invention.Fig. 7 is shown suitable for being used for realizing this The exemplary computer device 12a of invention embodiment block diagram.The computer equipment 12a that Fig. 7 is shown is only an example, Any restrictions should not be brought to the function and use range of the embodiment of the present invention.
As shown in fig. 7, computer equipment 12a is showed in the form of universal computing device.Computer equipment 12a component can To include but is not limited to：One or more processor 16a, system storage 28a, connection different system component (including system Memory 28a and processor 16a) bus 18a.
Bus 18a represents the one or more in a few class bus structures, including memory bus or Memory Controller, Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.Lift For example, these architectures include but is not limited to industry standard architecture (ISA) bus, MCA (MAC) Bus, enhanced isa bus, VESA's (VESA) local bus and periphery component interconnection (PCI) bus.
Computer equipment 12a typically comprises various computing systems computer-readable recording medium.These media can be it is any can The usable medium accessed by computer equipment 12a, including volatibility and non-volatile media, moveable and immovable Jie Matter.
System storage 28a can include the computer system readable media of form of volatile memory, such as deposit at random Access to memory (RAM) 30a and/or cache memory 32a.Computer equipment 12a may further include it is other it is removable/ Immovable, volatile/non-volatile computer system storage medium.Only as an example, storage system 34a can be used for reading Write immovable, non-volatile magnetic media (Fig. 7 is not shown, is commonly referred to as " hard disk drive ").Although not shown in Fig. 7, It can provide for the disc driver to may move non-volatile magnetic disk (such as " floppy disk ") read-write, and to removable non-easy The CD drive of the property lost CD (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each Driver can be connected by one or more data media interfaces with bus 18a.System storage 28a can be included at least One program product, the program product have one group of (for example, at least one) program module, and these program modules are configured to hold The function of the above-mentioned each embodiments of Fig. 1-Fig. 5 of the row present invention.
Program with one group of (at least one) program module 42a/utility 40a, such as system can be stored in and deposited In reservoir 28a, such program module 42a include --- but being not limited to --- operating system, one or more application program, Other program modules and routine data, the reality of network environment may be included in each or certain combination in these examples It is existing.Program module 42a generally performs the function and/or method in above-mentioned each embodiments of Fig. 1-Fig. 5 described in the invention.
Computer equipment 12a can also be with one or more external equipment 14a (such as keyboard, sensing equipment, display 24a etc.) communication, the equipment communication interacted with computer equipment 12a can be also enabled a user to one or more, and/or (such as network interface card is adjusted with enabling any equipment that computer equipment 12a communicated with one or more of the other computing device Modulator-demodulator etc.) communication.This communication can be carried out by input/output (I/O) interface 22a.Also, computer equipment 12a can also by network adapter 20a and one or more network (such as LAN (LAN), wide area network (WAN) and/or Public network, such as internet) communication.As illustrated, network adapter 20a by bus 18a and computer equipment 12a its Its module communicates.It should be understood that although not shown in the drawings, other hardware and/or software can be used with reference to computer equipment 12a Module, include but is not limited to：Microcode, device driver, redundant processor, external disk drive array, RAID system, tape Driver and data backup storage system etc..
Processor 16a is stored in program in system storage 28a by operation, so as to perform various function application and Data processing, such as realize the appraisal procedure of the population attraction shown in above-described embodiment.
The present invention also provides a kind of computer-readable medium, is stored thereon with computer program, the program is held by processor The appraisal procedure of the population attraction as shown in above-mentioned embodiment is realized during row.
The computer-readable medium of the present embodiment can be included in the system storage 28a in above-mentioned embodiment illustrated in fig. 7 RAM30a, and/or cache memory 32a, and/or storage system 34a.
With the development of science and technology, the route of transmission of computer program is no longer limited by tangible medium, can also be directly from net Network is downloaded, or is obtained using other modes.Therefore, the computer-readable medium in the present embodiment can not only include tangible Medium, invisible medium can also be included.
The computer-readable medium of the present embodiment can use any combination of one or more computer-readable media. Computer-readable medium can be computer-readable signal media or computer-readable recording medium.Computer-readable storage medium Matter for example may be-but not limited to-system, device or the device of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or Combination more than person is any.The more specifically example (non exhaustive list) of computer-readable recording medium includes：With one Or the electrical connections of multiple wires, portable computer diskette, hard disk, random access memory (RAM), read-only storage (ROM), Erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only storage (CD-ROM), light Memory device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable recording medium can Be it is any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or Person is in connection.
Computer-readable signal media can include in a base band or as carrier wave a part propagation data-signal, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be Any computer-readable medium beyond computer-readable recording medium, the computer-readable medium can send, propagate or Transmit for by instruction execution system, device either device use or program in connection.
The program code included on computer-readable medium can be transmitted with any appropriate medium, including --- but it is unlimited In --- wireless, electric wire, optical cable, RF etc., or above-mentioned any appropriate combination.
It can be write with one or more programming languages or its combination for performing the computer that operates of the present invention Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++, Also include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with Fully perform, partly perform on the user computer on the user computer, the software kit independent as one performs, portion Divide and partly perform or performed completely on remote computer or server on the remote computer on the user computer. Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including LAN (LAN) or Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as carried using Internet service Pass through Internet connection for business).
In several embodiments provided by the present invention, it should be understood that disclosed system, apparatus and method can be with Realize by another way.For example, device embodiment described above is only schematical, for example, the unit Division, only a kind of division of logic function, can there is other dividing mode when actually realizing.
The unit illustrated as separating component can be or may not be physically separate, show as unit The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs 's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list Member can both be realized in the form of hardware, can also be realized in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can be stored in one and computer-readable deposit In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are causing a computer It is each that equipment (can be personal computer, server, or network equipment etc.) or processor (processor) perform the present invention The part steps of embodiment methods described.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (Read- Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various Can be with the medium of store program codes.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention God any modification, equivalent substitution and improvements done etc., should be included within the scope of protection of the invention with principle.

Claims (16)

1. a kind of appraisal procedure of population attraction, it is characterised in that methods described includes：
Based on the quantity of the resident mobile device in target area, obtain resident in preset time period in the target area The influx of population；
According to the influx of resident population of each region in the preset time period in multiple regions of reference, and mesh The influx of the resident population described in region in preset time period is marked, the population attraction for assessing the target area refers to Number.
2. according to the method for claim 1, it is characterised in that the quantity based on the resident mobile device in target area, The influx of the resident population in the target area in preset time period is obtained, is specifically included：
Based on the quantity of resident mobile device when preset time period starts described in the target area, the target is obtained The quantity of resident population when preset time period starts described in region；
The quantity of resident mobile device at the end of based on preset time period described in the target area, obtains the target The quantity of resident population described in region at the end of preset time period；
The quantity of resident population when preset time period starts according to the target area and preset time week The quantity of resident population at the end of phase, obtain the inflow of the resident population described in the target area in preset time period Amount.
3. according to the method for claim 2, it is characterised in that opened based on preset time period described in the target area The quantity of resident mobile device during the beginning, obtain resident population when preset time period starts described in the target area Quantity, specifically include：
The quantity of resident mobile device when preset time period starts according to the target area and the target area The transformation ratio between mobile device quantity and the resident size of population is resided in domain, when obtaining default described in the target area Between resident population of cycle when starting quantity；
Accordingly, based on preset time period described in the target area at the end of resident mobile device quantity, obtain The quantity of resident population described in the target area at the end of preset time period, is specifically included：
The quantity of resident mobile device according to the target area at the end of preset time period and the target area The transformation ratio between mobile device quantity and the resident size of population is resided in domain, when obtaining default described in the target area Between end cycle when resident population quantity.
4. according to the method for claim 3, it is characterised in that the quantity based on the resident mobile device in target area, Before the influx for obtaining the resident population in the target area in preset time period, methods described also includes：
The resident movement of the size of population, the target area obtained according to the statistics of the target area in statistics is set Standby quantity, per capita disposable income and aging proportionality coefficient, use the resident shifting of target area described in linear regression fit Dynamic transformation ratio between number of devices and the resident size of population.
5. according to the method for claim 3, it is characterised in that preset time period is opened according to the target area Resided in the quantity of resident mobile device during the beginning and the target area between mobile device quantity and the resident size of population Transformation ratio, before the quantity for obtaining resident population when preset time period starts described in the target area, the side Method also includes：
The user behaviors log of all mobile subscribers of intended application in the target area, count each in the target area The proportionate relationship of the mobile device of type；
Count the quantity of the resident mobile device of first kind when preset time period starts described in the target area；
The quantity of the resident mobile device of the first kind and institute when preset time period starts according to target area The proportionate relationship of various types of mobile devices in target area is stated, preset time period described in the target area is obtained and opens The quantity of resident mobile device during the beginning；
Accordingly, the quantity of the resident mobile device according to the target area at the end of preset time period and described The transformation ratio between mobile device quantity and the resident size of population is resided in target area, is obtained described in the target area Before the quantity of resident population at the end of preset time period, methods described also includes：
Count the quantity of the resident mobile device of the first kind at the end of preset time period described in the target area；
The quantity of the resident mobile device of the first kind and institute at the end of preset time period according to target area The proportionate relationship of various types of mobile devices in target area is stated, obtains preset time period knot described in the target area The quantity of resident mobile device during beam.
6. according to the method for claim 5, it is characterised in that count preset time period described in the target area and open During the beginning or at the end of the first kind resident mobile device quantity, specifically include：
When the preset time period starts or at the end of, the shifting of each first kind in the target area The positioning daily record of dynamic equipment, excavates multiple resident clusters in the target area；
According to the positioning daily record of the mobile device of each first kind, the mobile device of the first kind exists corresponding to excavation Characteristic information in each resident cluster；
According to the random gloomy of characteristic information of the mobile device of each first kind in each resident cluster and training in advance Woods model, identify the type of each resident cluster of the mobile device of each first kind；The type includes house；
Count the resident cluster that the type is family and be located at the movements of all first kind in the target area and set Standby quantity, as when preset time period starts described in the target area or at the end of the first kind resident movement The quantity of equipment.
7. according to any described methods of claim 1-6, it is characterised in that according to each region in multiple regions of reference It is resident in preset time period described in the influx of resident population in the preset time period, the target area The influx of population, the population attraction index of the target area is assessed, is specifically included：
According to the influx of resident population of each region in the preset time period and institute in multiple regions of reference The influx of the resident population described in target area in preset time period is stated, calculates the preset time in each region The influx of averagely resident population in cycle；
By described in the influx of the resident population described in the target area in preset time period divided by each region The influx of averagely resident population in preset time period, obtains the population attraction index of the target area.
8. a kind of apparatus for evaluating of population attraction, it is characterised in that described device includes：
Acquisition module, for the quantity based on the resident mobile device in target area, obtain when being preset in the target area Between resident population in the cycle influx；
Evaluation module, for resident population of each region in the preset time period in multiple regions according to reference Influx, and the influx of the resident population described in target area in preset time period assesses the target area Population attraction index.
9. device according to claim 8, it is characterised in that the acquisition module, be specifically used for：
Based on the quantity of resident mobile device when preset time period starts described in the target area, the target is obtained The quantity of resident population when preset time period starts described in region；
The quantity of resident mobile device at the end of based on preset time period described in the target area, obtains the target The quantity of resident population described in region at the end of preset time period；
The quantity of resident population when preset time period starts according to the target area and preset time week The quantity of resident population at the end of phase, obtain the inflow of the resident population described in the target area in preset time period Amount.
10. device according to claim 9, it is characterised in that the acquisition module, specifically for according to the target area Mobile device number is resided in the quantity of resident mobile device when preset time period starts described in domain and the target area Transformation ratio between amount and the resident size of population, obtain resident when preset time period starts described in the target area The quantity of population；
The acquisition module, specifically it is additionally operable to the resident movement at the end of preset time period according to the target area The transformation ratio between mobile device quantity and the resident size of population is resided in the quantity of equipment and the target area, obtains institute State the quantity of the resident population described in target area at the end of preset time period.
11. device according to claim 10, it is characterised in that described device also includes：
Fitting module, for obtained according to the statistics of the target area the size of population, the target area statistics when Resident mobile device quantity, per capita disposable income and the aging proportionality coefficient, use mesh described in linear regression fit Mark the transformation ratio between the resident mobile device quantity in region and the resident size of population.
12. device according to claim 10, it is characterised in that described device also includes statistical module；
The statistical module, for the user behaviors log of all mobile subscribers of the intended application in the target area, system Count the proportionate relationship of various types of mobile devices in the target area；
The statistical module, it is additionally operable to count the resident of first kind when preset time period starts described in the target area The quantity of mobile device；
The acquisition module, it is additionally operable to the resident of first kind when preset time period starts according to target area The proportionate relationship of various types of mobile devices, is obtained in the target area in the quantity of mobile device and the target area The quantity of resident mobile device when the preset time period starts；
Accordingly, the statistical module, it is additionally operable to count described in the target area described at the end of preset time period The quantity of the resident mobile device of one type；
The acquisition module, it is additionally operable to according to target area the resident of the first kind at the end of preset time period The proportionate relationship of various types of mobile devices, is obtained in the target area in the quantity of mobile device and the target area The quantity of resident mobile device at the end of the preset time period.
13. device according to claim 12, it is characterised in that the statistical module, be specifically used for：
When the preset time period starts or at the end of, the shifting of each first kind in the target area The positioning daily record of dynamic equipment, excavates multiple resident clusters in the target area；
According to the positioning daily record of the mobile device of each first kind, the mobile device of the first kind exists corresponding to excavation Characteristic information in each resident cluster；
According to the random gloomy of characteristic information of the mobile device of each first kind in each resident cluster and training in advance Woods model, identify the type of each resident cluster of the mobile device of each first kind；The type includes house；
Count the resident cluster that the type is family and be located at the movements of all first kind in the target area and set Standby quantity, as when preset time period starts described in the target area or at the end of the first kind resident movement The quantity of equipment.
14. according to any described devices of claim 8-13, it is characterised in that the evaluation module, be specifically used for：
According to the influx of resident population of each region in the preset time period and institute in multiple regions of reference The influx of the resident population described in target area in preset time period is stated, calculates the preset time in each region The influx of averagely resident population in cycle；
By described in the influx of the resident population described in the target area in preset time period divided by each region The influx of averagely resident population in preset time period, obtains the population attraction index of the target area.
15. a kind of computer equipment, it is characterised in that the equipment includes：
One or more processors；
Memory, for storing one or more programs,
When one or more of programs are by one or more of computing devices so that one or more of processors are real The now method as described in any in claim 1-7.
16. a kind of computer-readable medium, is stored thereon with computer program, it is characterised in that the program is executed by processor Methods of the Shi Shixian as described in any in claim 1-7.
CN201710526885.2A 2017-06-30 2017-06-30 Appraisal procedure and device, the equipment and computer-readable recording medium of population attraction Pending CN107491854A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111212383A (en) * 2018-11-01 2020-05-29 百度在线网络技术（北京）有限公司 Method, device, server and medium for determining number of regional permanent population
CN113052425A (en) * 2020-10-14 2021-06-29 中国联合网络通信集团有限公司 Rework risk index determination method and device based on big data

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101083785A (en) * 2007-07-04 2007-12-05 贾林 Method and system for obtaining people information
CN104902438A (en) * 2015-05-04 2015-09-09 林茜茜 Statistical method and system for analyzing passenger flow characteristic information on the basis of mobile communication terminal
CN106503829A (en) * 2016-09-26 2017-03-15 同济大学 A kind of crowding Forecasting Methodology of the Urban Public Open Space based on multi-source data

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101083785A (en) * 2007-07-04 2007-12-05 贾林 Method and system for obtaining people information
CN104902438A (en) * 2015-05-04 2015-09-09 林茜茜 Statistical method and system for analyzing passenger flow characteristic information on the basis of mobile communication terminal
CN106503829A (en) * 2016-09-26 2017-03-15 同济大学 A kind of crowding Forecasting Methodology of the Urban Public Open Space based on multi-source data

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李薇: "我国流动人口空间分布特征分析", 《中国优秀硕士学位论文全文数据库》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111212383A (en) * 2018-11-01 2020-05-29 百度在线网络技术（北京）有限公司 Method, device, server and medium for determining number of regional permanent population
CN113052425A (en) * 2020-10-14 2021-06-29 中国联合网络通信集团有限公司 Rework risk index determination method and device based on big data

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