CN110958571A - Population subdivision method based on mobile signaling data under condition of difference compensation - Google Patents
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Abstract
The invention provides a population subdivision method based on signaling data on the premise of difference compensation, which is characterized in that user types are divided according to space-time information of mobile users, and difference compensation is carried out on mobile data in space dimension and time dimension before division. According to the method, the city real population is divided into a resident population and an extraordinary population according to the time length of residence, the moving range, the moving rule and other null information of the user in the city; the resident population is further divided into a stable resident population and an unstable resident population, and the stable resident population is further divided into a working and living integrated population, a regular commuting population and college students: subdividing unstable resident population into unstable resident population living in the daytime and unstable resident population living at night; the very resident population is further divided into tourists, business trip users, visiting users and other users. The invention is used for urban demographic work, can provide real-time and accurate population data and provides timely and effective decision basis for management departments.
Description
Technical Field
The invention relates to the technical field of mobile big data statistical analysis application, in particular to a method for finely dividing population by using mobile signaling data on the premise of poor compensation.
Background
The effective statistics of the pedestrian volume of each region in the city is an important component of the current urban informatization construction. The traditional statistical mode mainly adopts temporary residence management, home statistics and other modes, the cost is high, and the change of population mobility is difficult to keep up; particularly in the case of relatively centralized work and residence areas, which results in a wide range of people movement, the regional statistics cannot cover the needs of the segment demographics.
At present, the number of mobile phone users is huge, most of people to be counted are covered, and population census and population classification by using mobile signaling data become a basic application of mobile big data. How to more finely insights the change of population structures and provide auxiliary decisions for government governance is an important direction for modern big data analysis and application.
Disclosure of Invention
The invention aims to provide a population subdivision method based on mobile signaling data on the premise of difference compensation by utilizing the mobile signaling data aiming at the problem of low working efficiency and high cost of the traditional population statistics.
In order to achieve the above object, the present invention provides a population subdivision method based on signaling data under the condition of difference compensation, which is characterized by comprising the following steps:
(1) marking out a peripheral base station of a designated urban area, and setting the peripheral base station as an edge base station buffer area; counting the mobile behaviors of the mobile phone users according to the mobile signaling data, counting the users with the mobile behaviors in the current day in the boundary buffer area as city entering/exiting users, and counting the rest users without the mobile behaviors in the boundary buffer area as city not exiting users;
(2) performing bidirectional difference compensation on the residence time of the user who is not out of town on the day, and regarding the user who is not out of town on the day as the user who is resident locally on the day and has a length of 24 hours; the actual residence time is still the standard for the users entering/leaving the city on the same day;
(3) counting the residence time of a user in the city within one month by taking one month as a counting period, and counting the residence population of the user which has at least 15 days in one month and has residence time in the city of more than 10 hours every day; for users who do not meet the resident population condition, the non-resident population is counted.
Further, according to the population subdivision method based on the signaling data under the condition of difference compensation, the constant-living population in the step (3) is further divided into a stable constant-living population and an unstable constant-living population according to the size of the daily activity radius of each user and the variation frequency of the activity place; the stable constant population is users whose residence time per day exceeds 10 hours in a certain statistical area within one month of a statistical period, and the accumulated residence time meets 15 days or more; the unstable resident population refers to a user who does not meet the condition of the stable resident population on the premise of meeting the resident population.
The population subdivision method based on the signaling data under the condition of poor compensation further subdivides the stable resident population into:
a. the integral population of the jobs: the method is characterized in that the method refers to users with small activity ranges in a resident stable population caliber and in the same area in the daytime and at night;
b. regular commuter population: the method is characterized in that under a resident stable user caliber, a user working area and a user living area are not overlapped;
c. college students: refers to a user who is active in college range in both day and night and whose age is in accordance with a specific interval under a resident stable user caliber.
The population subdivision method based on the signaling data under the condition of difference compensation further subdivides the unstable users into:
a. unstable standing population in daytime: the user is a user with stronger mobility at a resident place in the daytime under the unstable resident population caliber;
b. unstable standing population at night: the user is a user with strong mobility at a residence place at night under the unstable resident population caliber.
Further, the population subdivision method based on the signaling data under the condition of difference compensation further divides the population of the emergency living population in the step (3);
a. the tourists refer to the users who stay in the hotel or hotel with the longest stay days or visit frequency in the day as the tourist attraction in the stay time under the condition of the caliber of the extraordinary population;
b. the business office user is a person who lives in a hotel under the caliber of an extraordinary population and stays in the regional business office place with the longest stay days within the stay time;
c. the visiting user refers to a user who lives in a residential community under the condition of an extraordinary population caliber.
d. Other users, in the very population size, are people who pass through the city or have a short stay in the city.
The invention carries out demographic statistics by utilizing the mobile signaling data, thereby greatly reducing the cost compared with the traditional statistical mode; the invention dynamically monitors the mobile behavior of the mobile phone user, counts and subdivides the urban population by means of analysis of mobile phone big data and combining a statistical principle, divides the urban real population into a resident population and an extraordinary population, and further subdivides the resident population and the extraordinary population according to the mobile behavior of the user.
Detailed Description
The invention obtains the mobile information data of the mobile user based on the mobile signaling, and divides the user types according to the idle information such as the residence time, the moving range, the moving rule and the like of the user in the city by analyzing the moving track of the mobile user. When analyzing the behavior track of the user, in order to ensure the accuracy and consistency of the data, difference compensation is firstly carried out on the mobile data in the space dimension and the time dimension before division.
The specific embodiment of the invention is as follows:
(1) the user data is differentially compensated in the spatial dimension. And marking out base stations around the urban area, setting a buffer area of the edge base station, counting users whose movement behaviors appear in the boundary buffer area on the same day as entering/exiting users according to the movement behaviors of the users, and counting the rest users which do not appear in the boundary buffer area as the users which do not exit the city.
(2) The user data is differentially compensated in the time dimension. And performing bidirectional difference compensation on the residence time of the user who is not out of town on the day. Such a group of people can be considered as a problem that the residence time length of the un-urban user is shortened due to the first signaling and the last signaling time of each day when the day is full of 24 hours when staying in the city, the starting time of the first signaling is set as the starting time of each day (00:00:00), and the ending time of the last signaling is set as the ending time of each day (23:59: 59). The actual residence time is still the standard for the users entering/exiting the city.
(3) According to the urban real population, the urban permanent population and the non-permanent population are divided according to the residence time. Counting the residence time of a user in the city within one month by taking one month as a counting period, and counting the residence population of the user which has at least 15 days in one month and has residence time in the city of more than 10 hours every day; for users who do not meet the resident population condition, the non-resident population is counted.
The constant population and the non-constant population are one of the commonly used statistical calibers for international census. The standing population refers to the population which usually lives in a certain area and comprises the population which stays in the area and is temporarily out; the population temporarily staying in a certain place without meeting the condition of the resident population is defined as the extraordinary population.
Furthermore, the invention can divide the standing population into a stable standing population and an unstable standing population according to the size of the daily activity radius of the user and the variation frequency of the activity place. The specific division method comprises the following steps:
1) stable population for permanent living: within one month of the statistical period, the users stay within the statistical area for more than X hours (e.g., 10 hours) a day, and users meeting X days (e.g., 15 days) and more are accumulated.
The stable constant population can be further divided into three types of users, namely, a whole job and a whole live, regular commutes and college students.
a. Integrating the functions of the job and the live: the user is in a stable user caliber, has a small moving range, and is in the same area in daytime and at night. Such as the elderly, who are at home both daytime and nighttime.
b. Regular commuting: the user working area and the living area are not coincident under the condition of stable user caliber. For example, when a user stays for 7:00 am to 21:00 pm, the area with the longest stay time is a hai lake area, and the working area is the hai lake area; night 21:00 to next day 7: the area with 00 dwell time is the Tongzhou area, and the area of residence is the Tongzhou area. If the user's work area and the residential area are not in the same area, the user may be said to be a regular commuter user.
c. College students: refers to a user who is active in a college range at a stable user aperture, both day and night, and whose age fits a particular interval (e.g., 18-30 years).
2) Unstable standing user: the user who does not meet the stable user caliber under the normal user caliber is referred to. Unstable users can be further subdivided into unstable live population in the daytime and unstable live population at night.
a. Unstable standing population in daytime: the user who resides in the daytime at the unstable user aperture has strong mobility. Such as white taxi drivers, express take-out personnel, etc.
b. Unstable standing population at night: the user who stays in the place at night has strong mobility under the unstable user caliber. Such as night shift freight drivers, taxi drivers, etc.
The invention can further divide the population of the extraordinary living into four types of users, such as tourists, business trips, visitors, other users and the like, and the specific division method is as follows:
a. and (3) tourists: it means that a place away from his (her) usual environment with a very large population size is continuously staying at a different place for not more than 14 days, and the area where the staying days are longest or the frequent visit during the staying time is a tourist attraction, and the purpose is not a person who gets a reward from the visiting place through the engaged activities.
b. Going on business: under the condition of the caliber of an extraordinary population, the method refers to a person who stays in a regional business office place with the longest stay days in a hotel and a hotel in a long-distance continuous stay time of no more than 14 days and goes to another province and city autonomous region for handling work in order to meet work requirements (contact business, carry out sales, purchase and the like).
c. Probing parents: refers to a person who leaves a daily place to visit parents, spouses or other relatives in a long distance under the caliber of an extraordinary population, lives in a residential district and is not intended to play and work.
d. And others: refers to a person passing somewhere or staying for a short time under the caliber of a very living population. Such as: to a user passing by, transferring to a machine or otherwise transferring.
Claims (5)
1. A population subdivision method based on signaling data under the precondition of difference compensation, which is characterized by comprising the following steps:
(1) marking out a peripheral base station of a designated urban area, and setting the peripheral base station as an edge base station buffer area; counting the mobile behaviors of the mobile phone users according to the mobile signaling data, counting the users with the mobile behaviors in the current day in the boundary buffer area as city entering/exiting users, and counting the rest users without the mobile behaviors in the boundary buffer area as city not exiting users;
(2) performing bidirectional difference compensation on the residence time of the user who is not out of town on the day, and regarding the user who is not out of town on the day as the user who is resident locally on the day and has a length of 24 hours; the actual residence time is still the standard for the users entering/leaving the city on the same day;
(3) counting the residence time of a user in the city within one month by taking one month as a counting period, and counting the residence population of the user which has at least 15 days in one month and has residence time in the city of more than 10 hours every day; for users who do not meet the resident population condition, the non-resident population is counted.
2. A method for population segmentation based on signaling data under differential compensation as claimed in claim 1, characterized in that: dividing the constant population in the step (3) into a stable constant population and an unstable constant population according to the size of the daily activity radius of each user and the variation frequency of the activity place; the stable constant population is users whose residence time per day exceeds 10 hours in a certain statistical area within one month of a statistical period, and the accumulated residence time meets 15 days or more; the unstable resident population refers to a user who does not meet the condition of the stable resident population on the premise of meeting the resident population.
3. A method for population segmentation based on signaling data under differential compensation as claimed in claim 2, characterized in that: the stable resident population is further subdivided into:
a. the integral population of the jobs: the method is characterized in that the method refers to users with small activity ranges in a resident stable population caliber and in the same area in the daytime and at night;
b. regular commuter population: the method is characterized in that under a resident stable user caliber, a user working area and a user living area are not overlapped;
c. college students: refers to a user who is active in college range in both day and night and whose age is in accordance with a specific interval under a resident stable user caliber.
4. A method for population segmentation based on signaling data under differential compensation as claimed in claim 2, characterized in that: further subdividing the unstable users into:
a. unstable standing population in daytime: the user is a user with stronger mobility at a resident place in the daytime under the unstable resident population caliber;
b. unstable standing population at night: the user is a user with strong mobility at a residence place at night under the unstable resident population caliber.
5. A method for population segmentation based on signaling data under differential compensation as claimed in claim 1, characterized in that: dividing the population of the emergency living people in the step (3) into more groups;
a. the tourists refer to the users who stay in the hotel or hotel with the longest stay days or visit frequency in the day as the tourist attraction in the stay time under the condition of the caliber of the extraordinary population;
b. the business office user is a person who lives in a hotel under the caliber of an extraordinary population and stays in the regional business office place with the longest stay days within the stay time;
c. the visiting user refers to a user who lives in a residential community under the condition of an extraordinary population caliber.
d. Other users, in the very population size, are people who pass through the city or have a short stay in the city.
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