CN116437291A - Cultural circle planning method and system based on mobile phone signaling - Google Patents
Cultural circle planning method and system based on mobile phone signaling Download PDFInfo
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Abstract
The invention discloses a cultural circle planning method and a cultural circle planning system based on mobile phone signaling, wherein the method comprises the following steps: acquiring crowd information in a grid according to crowd mobile phone signaling data, and constructing residential area crowd characteristics according to the crowd information in the grid and residential area layers; acquiring resident population images of living areas, constructing a corresponding user cultural facility preference model by using a regression model and the resident population images of living areas, and predicting cultural facility preferences of users of each living area; according to the cultural facilities preference of the residential area users, calculating the supply-demand ratio between the cultural facilities and the potential users according to an improved two-step mobile search algorithm; selecting an objective function, marking and circling the living area with the highest objective function value, selecting a culture circle range, calculating the coincidence rate of adjacent culture circles, and judging whether the living area with the current marked circling can be used as a culture circle planning point according to a set coincidence rate threshold.
Description
Technical Field
The invention relates to the technical field of facility planning, in particular to a cultural circle planning method and system based on mobile phone signaling.
Background
At present, the culture circle construction needs to be considered fairly, and the culture circle construction efficiency is guaranteed, namely the culture circle construction is reasonably planned, and more residents are covered as little investment as possible. The existing culture circle construction planning method mainly adopts Thiessen polygons, a two-step mobile search method, gis technology and other evaluation methods, such as the prior art patents CN103886532A, CN114897228A and CN107622346A, however, the prior art has the following technical problems: the coverage rate of urban and rural residents is less, global overall planning is lacked, and the efficiency of overall resource investment is further affected; meanwhile, when the average occupancy of the residents to the facilities and the supply and demand ratio of the facilities are evaluated, the population of the residential areas is not taken as a starting point, and the use preference of different crowds to the facilities and the difference of the service ranges of different types and different grades of facilities are not comprehensively considered. That is, the prior art does not accurately identify crowd images "in the nature of people" and does not conduct cultural circle planning for the characteristics of the crowd.
Disclosure of Invention
According to the method and the system, the mobile phone signaling of the crowd is used as core data, and the portraits of the resident crowd are mined through the mobile phone signaling core data, so that the crowd living range of the cultural ring can be constructed according to the portraits of the resident crowd. And the resident population distribution condition and the population characteristic distribution ratio of the living area can be comprehensively and accurately reflected.
The invention further aims to provide a cultural circle planning method and a cultural circle planning system based on mobile phone signaling, the method and the system utilize an improved two-step mobile search method, and the matching degree of the population characteristics of residential areas and the types of facilities is added in the two-step mobile search method, so that the improved two-step mobile search method can accurately measure the population with preference of facility demands, and the conditions of facility supply and demand and occupation of people of residential areas can be reflected well for non-normal residential area population.
The invention further aims to provide a cultural circle planning method and a cultural circle planning system based on mobile phone signaling, wherein in the process of judging the preference of a user to a certain type of cultural facilities, the method and the system add basic features and behavior features in resident crowd features according to mobile phone signaling core data, build a prediction model by using a machine learning regression model, and calculate by using a multidimensional model so as to accurately predict the preference of the user in a cultural venue.
One of the objects of the present invention is to provide a cultural circle planning method based on mobile phone signaling, which comprises the following steps:
acquiring signaling data of a group of people in a living area, and dividing the living area into grids;
constructing a mapping maintenance table according to the containing relation between the grids and the residential areas, acquiring crowd information in the grids according to crowd mobile phone signaling data, and constructing residential area crowd characteristics according to the crowd information in the grids and residential area layers;
acquiring resident population images of living areas according to the mobile phone signaling of the corresponding crowd, constructing a corresponding user cultural facility preference model by using the regression model and the resident population images of the target living areas, and predicting cultural facility preferences of users of each living area;
according to the cultural facilities preference of the residential area users, calculating the supply-demand ratio between the cultural facilities and the potential users according to an improved two-step mobile search algorithm, summing to obtain the accessibility of the cultural facilities of the residential area, setting a supply-demand ratio threshold, and determining the cultural circle of the residential area according to the accessibility of the cultural facilities of the residential area and the supply-demand ratio threshold;
selecting an objective function, marking and circling the living area with the highest objective function value, selecting a culture circle range, calculating the coincidence rate of adjacent culture circles, and judging whether the living area with the current marked circling can be used as a culture circle planning point according to a set coincidence rate threshold.
According to one preferred embodiment of the present invention, residential area population and crowd characteristics including identification of residential area id, residential area name, residential area town identification, residential area resident population and residential area resident population portraits are obtained from the mobile phone signaling data.
According to another preferred embodiment of the present invention, resident population data of the resident region is obtained according to the mobile phone signaling data, and multi-dimensional resident population images of the resident region are constructed for the attribute and the region of each resident population.
According to another preferred embodiment of the present invention, the improved two-step mobile search algorithm comprises: reading preset points of each cultural facility, and marking the grade and type of each cultural facility; for each cultural facility j, a spatial distance threshold d is set according to the cultural facility level and type 0 The population of community k in the space action domain is weighted by a Gaussian equation to obtain the number of potential users of the cultural facilities, and the supply-demand ratio between the scale of the cultural facilities and the number of potential users is further obtained according to the following formula:
wherein: p (P) kj Is the spatial scope of cultural facilities j (d kj ≤d 0 ) The potential preferred population number of residential zone k, S j For the holding capacity of cultural facilities j expressed in terms of cultural facility area or level, d kj Is the distance from the residential area k to the cultural facilities j, G (d kj ,d 0 ) To take into account the gaussian equation of the spatial friction.
According to another preferred embodiment of the present invention, the spatial scope of cultural facility j(d kj ≤d 0 ) Potential preferred population number P of residential zone k kj The calculation method of (1) comprises the following steps:
p m representing the number of people characterized by m,
group of people characterized by m versus cultural facilities type n j Is a function of the preference of the user,
the matrix is generated by constructing a user cultural facility preference model.
According to another preferred embodiment of the present invention, the user cultural facility preference model construction output method includes:
setting cultural theme categories, distributing each cultural facility to a corresponding theme category, acquiring user multidimensional features comprising user attributes, user APP preferences and user trips according to mobile phone signaling data, constructing a regression model aiming at the times of applying different category cultural facilities to the same crowd, generating a training set and a testing set by each user multidimensional feature, and outputting the cultural facility with the maximum use times of each user as the cultural facility preferences of the user after the model parameter adjustment training is finished.
According to another preferred embodiment of the present invention, after the user cultural facility preference model is completed to output cultural facility preferences of corresponding users, a preference matrix of user groups is constructed; further calculating a preset spatial distance threshold d of each living area i 0 Under the scope, the supply ratio R of cultural facilities located in the space scope is determined by using Gaussian equation i Weighting and summing the weighted supply ratios Ri to obtain the accessibility Ai of each residential area culture facility:
where l represents the spatial domain of living area i (d il ≤d 0 ) One facility in the facility set; d, d il Distance from residential area i to facility i; g (d) il ,d 0 ) Representing the spatial coefficient of friction between the facility/and the residential area/; r is R l Indicating the supply ratio of the facility l; and summing the cultural facilities of class j of the residential area i to obtain the reachability Ai of the cultural facilities of the residential area.
According to another preferred embodiment of the present invention, the method for calculating the objective function includes: acquiring the most preferred cultural facilities of the current residential area i crowd:
calculating the occupied increment of the per capita culture facilities of the current living area i as an objective function F k ：
Wherein R is ji Representing the most preferred cultural facilities type i, A of the current residential area k population ik_new Representing the average occupancy of cultural facilities of the ith residential area within the service radius r of the residential area k after the cultural facilities i are newly added, A ik_old The occupied number of the culture facilities of the ith living area in the service radius r of the living area k before the newly added culture facility i is represented.
Another object of the present invention is to provide a culture circle planning system based on mobile phone signaling, where the system executes the culture circle planning method based on mobile phone signaling.
The invention provides a computer readable storage medium storing a computer program for execution by a processor to implement a cultural circle planning method based on mobile phone signaling.
Drawings
Fig. 1 shows a flow chart of a cultural circle planning method based on mobile phone signaling.
FIG. 2 shows a schematic of the attenuation structure of the two-step mobile search method of the present invention in different functional forms.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It will be understood that the terms "a" and "an" should be interpreted as referring to "at least one" or "one or more," i.e., in one embodiment, the number of elements may be one, while in another embodiment, the number of elements may be plural, and the term "a" should not be interpreted as limiting the number.
Referring to fig. 1 and 2, the invention discloses a cultural circle planning method and a cultural circle planning system based on mobile phone signaling, wherein the method specifically comprises the following steps: firstly, determining a living area space to be analyzed, dividing the living area space into grids of 50m by 50m, acquiring mobile phone signaling data of users, counting the stay days of each user in the grids according to the mobile phone signaling data of the users, recording the user id and the annual accumulated stay days of the users, and recording the grid id and the grid center longitude and latitude of each grid. It should be noted that, the present invention can analyze and obtain the activity space and the user related information of each mobile phone user based on the mobile phone signaling data, such as the mobile phone signaling of the mobile communication, and further sort the data to obtain the above data.
Further reading a full volume layer in the living space, the read information comprising: "residential area id", "residential area name", "residential area city area", "residential area boundary", "residential area urban and rural identification", etc. The residential area is calculated by an area tool of a Qgis software calculation surface, the urban and rural areas of the residential area represent that the residential area and the community boundary containing relation with urban and rural codes can be judged by the Qgis software, urban and rural identification is further marked on different residential areas, for example, the urban and rural identification can be configured to be 1 for representing cities, 2 for representing villages, according to historical experience of dividing cultural circles, and the residential space pattern that urban residential areas are concentrated and dense, rural residential areas are distributed sparsely and scattered, the radiation radius of urban cultural circles is 1km, and the radiation range of rural cultural circles is 1.5km. And constructing a mapping dimension table by the grids and the residential areas according to the spatial relationship of the residential area set grids. The regional characteristics and the crowd characteristics including 'residential area id', 'residential area name', 'residential area city and country identification', 'residential area resident population characteristic' are further obtained by means including but not limited to mobile phone signaling data analysis, administrative department data query or sampling investigation.
The method for identifying the resident population comprises the following steps: and setting the residence time standard of the resident population, wherein 12 months are taken as a time period, the residence time of the target user in the resident region is counted in the time period, and if the residence time of the current target user in the resident region is larger than a preset time threshold, the current target user is judged to be the resident population of the corresponding resident region. The residence time of the target user in the living area can be obtained after analysis of mobile phone signaling data of the target user, namely, interaction behavior of mobile phone signaling with a neighboring base station exists when the user uses a mobile phone, and the position information of the current user can be judged, for example, the position information of the user can be directly judged when the user uses related map software. Or the invention can also be combined with questionnaires, sampling surveys and other modes to obtain the resident population number of the living area. The distribution analysis method for resident areas of the resident population comprises the following steps: and taking the distance between the residential areas and the residential population distribution points as negative weight, and weighting and sharing to obtain the residential population of each cell. Wherein: the residential area boundary of towns is based on house number red line boundary, and rural areas are formed by total population distribution Top blocks (50 m precision grids) of annual resident population in each village in a gathering way. After the resident population of the resident region is accurately identified by utilizing the mobile phone signaling data analysis, the user portraits of the resident population of the resident region are further identified, and different users are labeled according to the resident population user portraits, wherein the labels comprise but are not limited to: residential area id, residential area name, residential area geographical location, age, gender of the user themselves, etc., thereby forming the demographic characteristics of the resident population.
It is worth mentioning that the core technical means of the invention is to calculate and obtain the preference characteristic of the living area crowd to the cultural facilities by utilizing the mobile phone signaling, and add the preference characteristic to the two-step mobile search method, and construct an improved two-step mobile search method, thereby leading the living area crowd to have high matching performance to the cultural facilities. Wherein the improved two-step movement algorithm steps are as follows: setting a spatial scope (category) in which for each cultural facility j a spatial distance threshold d is set 0 Forming a spatial scope, the spatial distance threshold d 0 According to cultural facility level and type, wherein the cultural facility is more popular, and the corresponding facility level is higher, the spatial distance threshold d 0 The larger. Further weighting population of community k in the space scope by using Gaussian equation, calculating to obtain potential user number of cultural facility j after weighting, and calculating supply-demand ratio R between cultural facility scale and potential user number j ：
Wherein P is kj Is the spatial scope of cultural facilities j (d kj ≤d 0 ) The potential preferred population number for populated area k; d, d kj Is the distance from the residential area k to the cultural facilities j; s is S j The holding capacity of the cultural facilities j expressed in terms of cultural facility area or level; g (d) kj ,d 0 ) To take into account the gaussian equation of the spatial friction. Wherein the spatial scope of cultural facilities j (d kj ≤d 0 ) Potential preferred population number P of residential zone k kj The calculation method comprises the following steps:
p m representing the number of people characterized by m,
group of people characterized by m versus cultural facilities type n j Is a function of the preference of the user,
the matrix is generated by constructing a user cultural facility preference model. The construction method of the user cultural facility preference model comprises the following steps: dividing the cultural facilities into n classes according to the space, wherein the cultural facilities are determined according to the total number and the category of the cultural facilities under investigation, the complexity of the cultural facilities is the most influenced on the model complexity, and the more the cultural facilities are, the more the corresponding model complexity is.
Further carrying out a manner including but not limited to questionnaire investigation on residents in the living area, obtaining the use times of each resident on each type of cultural facilities, further obtaining attribute characteristics, app preference characteristics and trip characteristics of each resident user through questionnaire investigation or mobile phone signaling data analysis, wherein the app preference characteristics and trip characteristics are behavior preference characteristics of users, and further constructing a user characteristic broad table, and the method specifically comprises the following steps:
when the further value is selected for calculation, the characteristic with larger self-correlation coefficient is filtered out, and finally the 14-dimensional user basic attribute characteristic and the user behavior preference characteristic can be obtained. The invention further builds a multiple linear regression prediction model aiming at the use quantity of different cultural facilities by different users, divides the corresponding characteristics of all users into a training set and a testing set, respectively obtains cultural facility preference models of n cultural facility types by using the training set, adjusts parameters to obtain a trained user cultural facility preference model, and evaluates the user cultural facility preference model by using the testing set to obtain the user cultural facility preference model meeting the requirements. It should be noted that, the training and testing methods of the user cultural facility preference model in the present invention are performed according to the training and testing method of the multiple linear regression prediction model, which is not described in detail in the present invention.
Predicting the use times of each user for each cultural facility by using the user cultural facility preference model, and defining the maximum use times of the user for the cultural facility as user cultural facility preference. The preference of all users to different cultural facilities is further counted, and preference data of specific crowd to specific cultural facilities is counted according to the category characteristics of the cultural facilities, so that the preference matrix of the users to the cultural facilities is constructed.
The Gaussian equation considering the space friction is calculated as follows:
referring to fig. 2, in other preferred embodiments of the present invention, the damping function structure in the corresponding function form is provided for the spatial friction coefficients between the cultural facilities and the residential areas in different function forms.
The invention constructs the preference matrix of the users to the cultural facilities and calculates the supply-demand ratio R between the scale of the cultural facilities and the number of potential users j Then, counting each living area i at a set space distance threshold d 0 The scale of the cultural facilities and the supply and demand ratio of the number of potential users under the formed spatial scope are weighted and summed to obtain the accessibility Ai of each cultural facility:
wherein A is i It is understood that the people share of the cultural facilities within the target overall residential area. l represents the spatial domain (d il ≤d 0 ) A cultural facility in the cultural facility collection; d, d il Distance from living area i to cultural facilities i; g (d) il ,d 0 ) Representing the spatial friction coefficient between the cultural facilities l and the residential areas i; r is R l The supply ratio of the cultural facilities l is indicated. And summarizing j kinds of cultural facilities of the residential area i to obtain the total accessibility of the cultural facilities of the residential area. Therefore, the improved two-step mobile search method output structure comprises the following steps: a residence id-Ai value.
After the improved two-step mobile search method is completed and the reachability Ai value of each cultural facility is output, an Ai value threshold (supply-demand ratio threshold) is set, the reachability of the cultural circles of the residential areas is compared with the Ai value threshold, and the residential areas larger than the Ai value threshold are determined to be cultural circles. And (3) calculating residential areas smaller than the Ai value threshold value as follows:
obtaining an objective function F k The highest scoring residential area circles, objective function F k The meaning is the increment of the average occupation of the current cultural ring, and the steps are as follows:
acquiring the most preferred facilities of residents in the current residential area:
calculating the average occupied quantity increment of the current residential area i:
wherein R is ji Representing the most preferred cultural facilities type i, A of the current residential area k population ik_new Indicating the ith residence in the radius r of the k service of the residence after the culture facility i is newly addedThe occupied quantity of culture facilities of people in the area A ik_old The occupied number of the culture facilities of the ith living area in the service radius r of the living area k before the newly added culture facility i is represented.
For the culture circles selected at present, the coincidence rate P between every two culture circles is carried out ij Calculating, if the coincidence rate is smaller than P (default 0.5), marking the living area as a cultural circle planning point which is not selectable, wherein the principle of maximizing the use efficiency of cultural facilities and minimizing the construction cost is mainly considered; wherein P is ij The calculation mode of (2) is as follows:
P ij ＝(N i ∩N j )/(N i +N j -(N i ∩N j ))
wherein N is i Representing the population covered by culture circle i.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such embodiments, the computer program may be downloaded and installed from a network via a communication portion, and/or installed from a removable medium. The above-described functions defined in the method of the present application are performed when the computer program is executed by a Central Processing Unit (CPU). It should be noted that the computer readable medium described in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wire segments, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It will be understood by those skilled in the art that the embodiments of the present invention described above and shown in the drawings are merely illustrative and not restrictive of the current invention, and that this invention has been shown and described with respect to the functional and structural principles thereof, without departing from such principles, and that any modifications or adaptations of the embodiments of the invention may be possible and practical.
Claims (10)
1. The cultural circle planning method based on the mobile phone signaling is characterized by comprising the following steps:
acquiring signaling data of a group of people in a living area, and dividing the living area into grids;
constructing a mapping maintenance table according to the containing relation between the grids and the residential areas, acquiring crowd information in the grids according to crowd mobile phone signaling data, and constructing residential area crowd characteristics according to the crowd information in the grids and residential area layers;
acquiring resident population images of living areas according to the mobile phone signaling of the corresponding crowd, constructing a corresponding user cultural facility preference model by using the regression model and the resident population images of the target living areas, and predicting cultural facility preferences of users of each living area;
according to the cultural facilities preference of the residential area users, calculating the supply-demand ratio between the cultural facilities and the potential users according to an improved two-step mobile search algorithm, summing to obtain the accessibility of the cultural facilities of the residential area, setting a supply-demand ratio threshold, and determining the cultural circle of the residential area according to the accessibility of the cultural facilities of the residential area and the supply-demand ratio threshold;
and selecting an objective function for residential areas smaller than the supply-demand ratio threshold, marking and circling the residential area with the highest objective function value, selecting a range of cultural circles, calculating the coincidence rate of adjacent cultural circles, and judging whether the residential area with the current marked circling can be used as a cultural circle planning point according to the set coincidence rate threshold.
2. The method of claim 1, wherein the residential area population and crowd characteristics including identification of residential area id, residential area name, residential area town identification, residential area resident population and residential area resident population portraits are obtained from the mobile phone signaling data.
3. The cultural circle planning method based on mobile phone signaling according to claim 1, wherein resident population data of resident regions is obtained according to the mobile phone signaling data, and multi-dimensional resident population images of resident regions are built for each resident population attribute and region.
4. The method for cultural circle planning based on mobile phone signaling according to claim 1, wherein the improved two-step mobile search algorithm comprises: reading preset points of each cultural facility, and marking the grade and type of each cultural facility; for each cultural facility j, a spatial distance threshold d is set according to the cultural facility level and type 0 The population of community k in the space action domain is weighted by a Gaussian equation to obtain the number of potential users of the cultural facilities, and the supply-demand ratio between the scale of the cultural facilities and the number of potential users is further obtained according to the following formula:
wherein: p (P) kj Is the spatial scope of cultural facilities j (d kj ≤d 0 ) The potential preferred population number of residential zone k, S j For the holding capacity of cultural facilities j expressed in terms of cultural facility area or level, d kj Is the distance from the residential area k to the cultural facilities j, G (d kj ,d 0 ) To take into account the gaussian equation of the spatial friction.
5. The method of claim 4, wherein the spatial domain (d kj ≤d 0 ) Potential preferred population number P of residential zone k kj The calculation method of (1) comprises the following steps:
p m representing the number of people characterized by m,
group of people characterized by m versus cultural facilities type n j Preference of->
The matrix is generated by constructing a user cultural facility preference model.
6. The cultural circle planning method based on mobile phone signaling according to claim 5, wherein the user cultural facility preference model construction output method comprises:
setting cultural theme categories, distributing each cultural facility to a corresponding theme category, acquiring user multidimensional features comprising user attributes, user APP preferences and user trips according to mobile phone signaling data, constructing a regression model aiming at the times of applying different category cultural facilities to the same crowd, generating a training set and a testing set by each user multidimensional feature, and outputting the cultural facility with the maximum use times of each user as the cultural facility preferences of the user after the model parameter adjustment training is finished.
7. The cultural circle planning method based on mobile phone signaling according to claim 6, wherein after the cultural facility preference model of the user is completed to output the cultural facility preference of the corresponding user, a preference matrix of a user crowd is constructed; further calculating a preset spatial distance threshold d of each living area i 0 Under the scope, the supply ratio R of cultural facilities located in the space scope is determined by using Gaussian equation i Weighting and summing the weighted supply ratios Ri to obtain the accessibility Ai of each residential area culture facility:
where l represents the spatial domain of living area i (d il ≤d 0 ) A cultural facility in the facility set; d, d il Distance from living area i to cultural facilities i; g (d) il ,d 0 ) Representing the spatial friction coefficient between the cultural facilities l and the residential areas i; r is R l A supply ratio representing cultural facilities l; and summing the cultural facilities of class j of the residential area i to obtain the reachability Ai of the cultural facilities of the residential area.
8. The cultural circle planning method based on mobile phone signaling according to claim 4, wherein the calculating method of the objective function comprises: acquiring the most preferred cultural facilities of the current residential area i crowd:
calculating the occupied increment of the per capita culture facilities of the current living area i as an objective function F k ：
Wherein R is ji Representing the most preferred cultural facilities type i, A of the current residential area k population ik_new Representing the average occupancy of cultural facilities of the ith residential area within the service radius r of the residential area k after the cultural facilities i are newly added, A ik_old The occupied number of the culture facilities of the ith living area in the service radius r of the living area k before the newly added culture facility i is represented.
9. A cultural circle planning system based on mobile phone signaling, characterized in that the system performs a cultural circle planning method based on mobile phone signaling according to any one of claims 1-8.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program, which is executed by a processor to a culture circle planning method based on mobile phone signaling according to any one of claims 1-8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117114210A (en) * | 2023-10-24 | 2023-11-24 | 广州市城市规划勘测设计研究院 | Barrier-free public facility layout optimization method, device, equipment and storage medium |
| CN117596551A (en) * | 2024-01-19 | 2024-02-23 | 浙江大学建筑设计研究院有限公司 | Green road network user behavior restoration method and device based on mobile phone signaling data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117114210A (en) * | 2023-10-24 | 2023-11-24 | 广州市城市规划勘测设计研究院 | Barrier-free public facility layout optimization method, device, equipment and storage medium |
| CN117114210B (en) * | 2023-10-24 | 2024-02-27 | 广州市城市规划勘测设计研究院 | Barrier-free public facility layout optimization method, device, equipment and storage medium |
| CN117596551A (en) * | 2024-01-19 | 2024-02-23 | 浙江大学建筑设计研究院有限公司 | Green road network user behavior restoration method and device based on mobile phone signaling data |
| CN117596551B (en) * | 2024-01-19 | 2024-04-09 | 浙江大学建筑设计研究院有限公司 | Green road network user behavior restoration method and device based on mobile phone signaling data |
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