Visualization analysis method and system for the compound cumulative impact of migration activities on job-housing balance

Abstract

The present invention discloses a visualization analysis method and system for the composite cumulative impact of migration activities on job-residence balance, including: obtaining the job-residence population composition data at the start time within the research scope, and obtaining the synchronous and asynchronous migration of population job-residence in each period within the research area according to the time resolution, and constructing a population migration time series database; converting the job-residence balance state into a state vector, and converting the impact of various migration activities on the job-residence balance into an impact vector; compounding the state vector with the impact vector of various migration activities in each period, accumulating them in time series and visualizing them; inversely calculating the long-term impact results of various job-residence migration activities on the job-residence balance state according to the vector; identifying the driving force and driving direction of the change of the job-residence balance state according to the analysis results of the composite cumulative impact of migration activities on the job-residence balance in time series, and proposing suggestions for the development of industrial-urban integration. The present invention can measure the composite time series cumulative impact of different migration activities on the job-residence balance state.

Description

Technical Field

[0001] The present invention belongs to the technical field of job-housing balance evaluation and analysis, and specifically relates to a visual analysis method and system for the compound cumulative impact of migration activities on job-housing balance. Background Art

[0002] Job-housing balance is an important issue under the guidance of high-quality urban development in my country, and research on the evolution of job-housing balance has gradually begun. Job-housing migration, as a key factor that directly affects the evolution of balance, has become an important research perspective in recent research on job-housing balance. Based on this, many explorations have been conducted at home and abroad, including research on the evolution mechanism of job-housing balance and quantification of the impact on job-housing balance.

[0003] However, the composite impact and time-series cumulative impact of multiple types of migration activities have not yet been objectively measured. Measuring the composite impact of migration activities on the job-housing balance state (such as the composite impact of residential migration activities and employment migration activities) and the time-series cumulative impact (such as the time-series cumulative impact of residential migration activities in two periods) are important issues in the study of the evolution of job-housing balance. Existing job-housing balance measurement methods focus more on measuring the job-housing balance state at a certain moment; and the existing quantitative methods for the impact of migration activities on job-housing balance do not support composite measurements of multiple activities and long-term cumulative measurements. The current methods make it difficult to use migration activities to achieve refined and continuous measurement of the evolution of the job-housing balance state. Summary of the invention

[0004] One object of the present invention is to address the deficiencies in the prior art and to provide a visualization analysis method for the compound cumulative impact of migration activities on job-residence balance. The method introduces a two-dimensional vector to visualize the complex mechanism of the impact of job-residence migration activities on the job-residence balance state, so as to measure the compound and temporal cumulative impact of different migration activities on the job-residence balance state, and achieve an objective description of the changing process of job-residence balance.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0006] A visual analysis method for the compound cumulative impact of migration activities on job-housing balance includes the following steps:

[0007] Step 1: Based on mobile phone information data, obtain the composition data of the employment and residence population at the start time within the research scope, and obtain the synchronous and asynchronous migration of the population employment and residence in each period in the research area according to the time resolution, and build a population migration time series database;

[0008] Step 2: Based on the population migration time series database, a dynamic job-housing balance vector model is established to convert the job-housing balance state into a state vector and the impact of various migration activities on the job-housing balance into an impact vector;

[0009] Step 3: Compound the impact vectors of various migration activities in the same period within the research scope and accumulate them in time series to the job-housing balance state vector of the research scope at the start time, and use two-dimensional coordinates to calculate and visualize them to obtain a long-term monitoring diagram of the compound cumulative impact of migration activities on job-housing balance;

[0010] Step 4: Based on the long-term monitoring diagram of step 3, vector back-calculation is performed to determine the long-term impact of each job-residence migration activity on the job-residence balance state;

[0011] Step 5. Based on the analysis results of the temporal composite cumulative impact of migration on job-housing balance obtained in steps 3 and 4, identify the driving force and direction of changes in the job-housing balance state, and put forward suggestions for the integrated development of industry and city.

[0012] Furthermore, step 1 specifically includes sub-steps:

[0013] Step 101, identifying the user's workplace and residence, assigning regional attributes to the workplace and residence, and obtaining regional workplace and residence population composition data;

[0014] Step 102: Determine the time resolution of observation according to research requirements, and identify migration activities at time intervals determined by the time resolution;

[0015] Step 103, after identifying the migration activities, further classify the migration activities according to the characteristics of the residence and employment location before and after the migration;

[0016] Step 104: construct a job-residence balance status database based on the job-residence balance status data at the starting time obtained in step 101, and construct a migration activity database based on the migration activity data obtained in steps 102 and 103, which together constitute a population migration time series database.

[0017] Furthermore, in step 103, the migration activities are divided into synchronous residential migration-in, asynchronous residential migration-in, synchronous residential and business migration-in, synchronous employment migration-in, asynchronous employment migration-in, synchronous residential migration-out, asynchronous residential migration-out, synchronous residential and business migration-out, synchronous employment migration-out, and asynchronous employment migration-out.

[0018] Furthermore, step 2 specifically includes the following sub-steps:

[0019] Step 201, using the ratio of job to residence in the same area to represent the job-residence balance state, the specific calculation formula of the ratio of job to residence in the same area is as follows:

[0020]

[0021] In the formula, P is the ratio of employment to residence in the same area, C 居业 C is the number of people whose residence and employment are both in the target area at a certain time point. 单业 is the number of people employed only in the region at a certain time point, C单居 is the number of people living only in the district at a certain point in time;

[0022] Step 202: convert the job-housing balance state of the study area at the start time into a two-dimensional vector, i.e., a state vector, for representing the job-housing balance state, specifically:

[0023]

[0024] Where: C 单业 C is the number of people who are employed in the region but do not live in the region; 单居 C is the number of people who only live in the region but are not employed in the region; 居业 C is the number of people who both work and live in the area; 单业 +C 单居 +C 居业 is the total population of employees and residents in the region; vector The slope is the ratio of the population of workers and residents in the same district to the total population of workers and residents in the district, which is used to characterize the balance between work and residence, and its characteristic is the vector The slope of is greater than 0 and less than or equal to 1;

[0025] Step 203: Perform activity category statistics on the migration activity database obtained in step 1, and based on the statistical results of each migration activity, convert it into different impact vectors according to the activity category, specifically:

[0026]

[0027]

[0028]

[0029]

[0030]

[0031]

[0032]

[0033]

[0034]

[0035]

[0036] Where: They are the impact vectors of asynchronous residential in-migration, asynchronous employment in-migration, synchronous residential in-migration, synchronous employment in-migration, and synchronous residential and employment in-migration on job-housing balance during the research period; M are the impact vectors of asynchronous residential out-migration, asynchronous employment out-migration, synchronous residential out-migration, synchronous employment out-migration, and synchronous residential and employment in-migration on job-housing balance during the study period; 居异 、M 业异 、M 居同 、M 业同 、M 居业 are the number of asynchronous residential in-migration activities, asynchronous employment in-migration activities, synchronous residential in-migration activities, synchronous employment in-migration activities, and synchronous residential and employment in-migration activities during the study period; N 居异 、N 业异 、N 居同 、N 业同 、N 居业 They are the number of asynchronous residential out-migration activities, asynchronous employment out-migration activities, synchronous residential out-migration activities, synchronous employment out-migration activities, and synchronous residential and employment in-migration activities during the study period.

[0037] Furthermore, step 3 specifically includes:

[0038] Step 301, projecting the state vector at the start time onto a two-dimensional coordinate system to achieve visualization;

[0039] Step 302: Project the influence vector of each migration activity into two-dimensional coordinates to achieve visualization;

[0040] Step 303: sum the impact vectors of multiple types of migration activities in each period, and calculate the composite impact of the combination of multiple types of migration activities on the job-housing balance; typical composite impact The calculation formula is as follows:

[0041]

[0042]

[0043]

[0044]

[0045]

[0046]

[0047]

[0048]

[0049]

[0050] Where: is the composite impact vector of residential migration on job-residence status, including the composite impact direction and intensity of synchronous and asynchronous residential migration and simultaneous job-residence migration on job-residence balance; similarly, is the composite impact vector of employment inward migration activities, is the composite impact vector of residential migration activities, is the composite impact vector of employment out-migration activities, is the composite impact vector of residential and employment migration activities, is the composite impact vector of residential and employment out-migration activities, is the composite impact vector of residential in-migration and out-migration activities, is the composite impact vector of employment in-migration and out-migration activities, is the composite impact vector of all migration activities;

[0051] Step 304: Based on the state vector of job-housing balance at the starting time, the impact vectors of a certain type of job-housing migration activities in each period or the composite impact vectors of multiple types of migration activities are accumulated to calculate the composite cumulative impact result vector of a specific job-housing migration activity on the job-housing balance state.

[0052] Furthermore, the specific formula for calculating the composite cumulative impact result vector of multiple types of job-housing migration activities on the job-housing balance state is:

[0053] Where: is the state vector of the job-housing balance state after the impact at the end of the period, is the state vector of the job-housing equilibrium state at the start time, is the composite impact of certain specific migration activities on job-residence status during the first period of time; similarly, It is the composite impact value of certain specific migration activities on job-residence status during the nth period of time.

[0054] Furthermore, step 4 specifically includes the following sub-steps:

[0055] Step 401, calculating the state vector slope after the specific influence vector is superimposed at the end of the first period according to the composite influence vector obtained in step 3 and the start time state vector, that is, the "job-residence ratio in the same area" affected by the specific migration activity at the end of the first period;

[0056] Step 402: Calculate the state vector slope of the specific impact vector after the time series accumulation and superposition based on the composite impact vector obtained in step 3 and the start time state vector, that is, the "job-residence ratio in the same area" after being affected by the specific migration activity at the end of each time period.

[0057] Furthermore, in step 401, the method for calculating the slope of the state vector after the superposition of the specific influence vector at the end of the first time period is:

[0058] The composite influence vector obtained in step 3 is superimposed on the state vector of the starting time to obtain the state vector of the job-residence balance state after the composite influence of several specific activities in the first period. By calculating the slope of the state vector, the job-residence balance state value after the composite influence of specific activities can be obtained, that is, the "job-residence ratio in the same area" after the influence of specific migration activities at the end of the first period; wherein, the composite influence vector of the first period obtained in step 3 is:

[0059]

[0060] In the formula, X 复 express The value on the X axis of the vertical coordinate system, Y 复 express The value on the Y axis of the vertical coordinate system;

[0061] The state vector at the end of the first period is:

[0062]

[0063] Then the state vector at the end of the first period is The slope of is:

[0064]

[0065] Where: is the starting time state vector, is the job-housing equilibrium state vector after the composite impact of specific migration activities at the end of the first period, and P1 is the state vector The slope of is also the ratio of employment and residence in the same area after the compound impact of specific migration activities, C 居业 C is the number of people whose residence and employment are both in the target area at a certain time point. 单业 is the number of people employed only in the region at a certain time point, C 单居 It is the number of people living only in the district at a certain point in time.

[0066] Furthermore, step 5 specifically includes:

[0067] Step 501: According to the change curve of the long-term monitoring diagram of the composite cumulative impact obtained in step 3, by observing the slope change of each node, the development trend of the regional job-housing balance state is determined;

[0068] Step 502: observe the direction and intensity of the impact vector of each activity in each time period, and identify the main driving activities that affect the development of the work-life balance state;

[0069] Step 503: Based on the development needs and current status of regional industrial-urban integration and the impact of various migration activities on the balance between work and residence, detailed planning is carried out to guide subsequent migration activities.

[0070] Another object of the present invention is to provide a system for realizing the above-mentioned visualization analysis method of the composite cumulative impact of migration activities on job-housing balance, comprising:

[0071] The basic database module is used to obtain the population migration situation between multiple regions of the target area in each period based on big data and time resolution, obtain various migration activities, and build a population migration database;

[0072] The calculation and analysis module is used to establish a dynamic job-housing balance vector model based on the population migration database constructed by the basic database module, and to convert the job-housing balance state into a state vector, and to convert the impact of various migration activities on the job-housing balance into an impact vector;

[0073] The visualization module is used to project the impact of various migration activities on the regional job-housing balance into a two-dimensional coordinate system based on the vector results calculated and analyzed by the calculation and analysis module, and to visualize the evolution process of the job-housing balance state;

[0074] The output module is used to compare the direction and intensity of the impact of various migration activities on the job-housing balance status displayed in the visualization module, identify the driving force and driving direction of the change in the job-housing balance status, and put forward suggestions for the integrated development of industry and city.

[0075] Compared with the prior art, the present invention has the following beneficial effects:

[0076] 1. The time series visualization analysis method and system of the compound cumulative impact of migration activities on job-housing balance provided by the present invention can measure the compound impact of ten types of migration activities on the job-housing balance state, and measure the time series cumulative impact of migration activities;

[0077] 2. The time series visualization analysis method and system of the composite cumulative impact of migration activities on job-housing balance provided by the present invention converts the job-housing balance state and the impact value of migration activities on the job-housing balance state into a vector with direction and magnitude attributes, and then can realize visualization in a two-dimensional coordinate system, intuitively expressing more information;

[0078] 3. The time-series visualization analysis method and system of the compound cumulative impact of migration activities on job-housing balance provided by the present invention facilitate the proposal of regional job-housing balance optimization strategies based on optimizing specific migration activities according to the evolution trend of the job-housing balance state and the impact intensity and direction of each migration activity. The strategy has higher reference value and is more targeted in guiding subsequent urban operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 A flowchart for measuring the job-housing balance impact index according to the present invention;

[0080] Figure 2It is a framework diagram of the classification system for the impact of migration behavior on the urban job-residence balance state according to the present invention;

[0081] Figure 3 A visualization diagram of the urban job-housing balance state vector according to the present invention;

[0082] Figure 4 A schematic diagram of calculating the composite impact vector of all migration activities on job-residence status using vector visualization according to the present invention;

[0083] Figure 5 A schematic diagram of visually calculating the composite impact vector of all migration activities in a southeast new town of a certain city according to an embodiment of the present invention;

[0084] Figure 6 Schematic diagram of calculating the time-series cumulative impact of a specific migration activity on the job-residence balance state by using vector visualization according to the present invention, wherein (a) is the state vector of the job-residence balance state after being affected at the end of the first time period, (b) is the state vector of the job-residence balance state after being affected at the end of the second time period, and (c) is the state vector of the job-residence balance state after being affected at the end of the third time period;

[0085] Figure 7 It is a schematic diagram of visually calculating the time-series cumulative impact of all migration activities on the job-residence balance state in the southeast new town of a certain city in an embodiment of the present invention;

[0086] Figure 8 The figure is a schematic diagram of visually calculating the time-series cumulative impact of residential migration activities on the job-residence balance state in the southeast new town of a certain city in an embodiment of the present invention, wherein (a) is a visual calculation of the composite impact vector of residential migration on the job-residence state in the first period of time, (b) is a visual calculation of the composite impact vector of residential migration on the job-residence state in the second period of time, and (c) is a visual calculation of the time-series cumulative impact of residential migration on the job-residence state in two periods of time. DETAILED DESCRIPTION

[0087] The technical solutions in the embodiments of the present invention will be described clearly and completely below in combination with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0088] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0089] The present invention will be further described below in conjunction with specific embodiments, but the present invention is not limited thereto.

[0090] See attached Figure 1 The embodiment of the present invention provides a visual analysis method of the compound cumulative impact of migration activities on job-housing balance, including the following steps:

[0091] Step 1: Obtain the composition data of the employment-residence population at the start time within the study area, and obtain the synchronous and asynchronous migration of the population employment-residence in each period of the study area according to the time resolution, and build a population migration time series database;

[0092] This step specifically includes:

[0093] Step 101, identify the user's place of work and residence, assign regional attributes to the place of work and residence, and obtain the regional population composition data of the place of work and residence. Specifically, based on the mobile phone information data, the user's place of work and residence data at the start time in the study area is obtained. China Unicom's mobile phone information data can identify the longest stay location of an individual from 9:00 to 17:00 during the day as the place of work, and the longest stay location from 21:00 to 8:00 the next day as the place of residence within a month.

[0094] Intersect the coordinates of the study area with the coordinates of the work and residence, clarify the positional relationship between each user's work and residence and the study area, and assign regional attributes to the work and residence. For example, if user 1's residence is in region A, the regional attribute of user 1's residence is "region A".

[0095] The residence and employment places of the users obtained above are counted, and the "number of people employed in the area", "number of people living in the area", and "number of people living and employed in the area" in each area are counted. Among them, the "number of people employed in the area" refers to the number of users who are only employed but not living in the study area; the "number of people living in the area" refers to the number of users who only live in the study area but are not employed, and the "number of people living and employed in the area" refers to the number of users who both live in the study area and are employed in the area.

[0096] Step 102: Identify migration activities in different periods in sequence according to the time resolution. Specifically, determine the time resolution of observation according to research needs, and identify migration activities according to the time intervals specified by the time resolution. Identify migration activities mainly by comparing the regional attributes of the user's work and residence. If the regional attributes of the user's work and residence change, it is determined that cross-regional migration has occurred. The implementation logic is as follows: Figure 2 .

[0097] Step 103, classify the migration activities: after the migration activities are identified, further classify the migration activities. According to the characteristics of the place of residence and the place of employment before and after the migration, the migration activities are classified into ten categories: synchronous migration in with residence, asynchronous migration in with residence, synchronous migration in with residence and employment, synchronous migration in with employment, asynchronous migration in with employment, synchronous migration out with residence, asynchronous migration out with residence, synchronous migration out with residence and employment, synchronous migration out with employment, and asynchronous migration out with employment.

[0098] Specifically, the division logic is shown in Table 1. Residential asynchronous migration refers to the migration activity that changes the user's work-residence area attribute from "neither residence nor employment is within the study area" to "only residence is within the study area".

[0099] Asynchronous employment in-migration refers to the migration activity that changes the user's work-residence area attribute from "neither residence nor employment is within the study area" to "employment is only within the study area".

[0100] Simultaneous residential migration refers to the migration activity that changes the regional attributes of a user's employment and residence from "only the employment location is within the study area" to "both the residence and the employment location are within the study area".

[0101] Employment-simultaneous migration refers to the migration activity that changes the regional attributes of a user's employment and residence from "only the residence is within the study area" to "both the residence and the employment are within the study area".

[0102] Simultaneous residence-employment migration refers to the migration activity that changes the user's residence-employment area attribute from "neither residence nor employment is within the study area" to "both residence and employment are within the study area".

[0103] Residential asynchronous out-migration refers to the migration activity that changes the user's work-residence area attribute from "both residence and employment are within the study area" to "only the employment is within the study area".

[0104] Employment asynchronous out-migration refers to the migration activity that changes the regional attributes of a user's work and residence from "both residence and employment are within the study area" to "only residence is within the study area".

[0105] Residential simultaneous migration refers to the migration activity that changes the regional attributes of a user's work and residence from "only the residence is within the study area" to "neither the residence nor the employment is within the study area".

[0106] Employment-simultaneous migration refers to the migration activity that changes the regional attributes of a user's employment and residence from "only the employment location is located in the study area" to "neither the residence nor the employment location is within the study area".

[0107] Residential simultaneous migration refers to the migration activity that changes the regional attributes of a user's work and residence from "only the residence is within the study area" to "neither the residence nor the employment is within the study area".

[0108] Simultaneous residential-employment migration refers to the migration activity that changes the user's work-residence area attribute from "both residence and employment are within the study area" to "neither residence nor employment is within the study area".

[0109] Step 104, constructing a population migration time series database; constructing a job-residence balance state database based on the job-residence balance state data at the start time obtained in step 101, and constructing a migration activity database based on the migration activity data obtained in steps 102 and 103, together forming a population migration time series database. Taking the southeast new town of a certain city as an example, this embodiment provides Table 1 for further explanation, and its data format is shown in Tables 2 and 3;

[0110] Table 1 Classification logic table of migration activities

[0111]

[0112] Table 2 Example of the format of the basic database for the study of job-housing balance

[0113]

[0114] Table 3. Format of the organized migration activity database

[0115]

[0116] Step 2: Based on the population migration time series database, establish a dynamic job-housing balance vector model, convert the job-housing balance state into a state vector, and convert the impact of various migration activities on the job-housing balance into an impact vector; this step specifically includes:

[0117] Step 201, use the “job-residence ratio in the same area” to characterize the job-residence balance state; the specific calculation formula of the “job-residence ratio in the same area” is as follows:

[0118]

[0119] Where: P is the ratio of jobs to residences in the same area, C 居业 C is the number of people whose residence and employment are both in the target area at a certain time point. 单业 is the number of people employed only in the region at a certain time point, C 单居 It is the number of people living only in the district at a certain point in time.

[0120] Step 202: Convert the job-housing balance state of the study area at the start time into a two-dimensional vector for representing the job-housing balance state, which is referred to as the state vector below and has the following specific format:

[0121]

[0122] Where: C 单业 C is the number of people who are employed in the region but do not live in the region; 单居 C is the number of people who only live in the region but are not employed in the region; 居业 The number of people who both work and live in the area. 单业 +C 单居 +C居业 is the total population of employees and residents in the region; vector The slope is the ratio of the population of workers and residents in the same district to the total population of workers and residents in the district, which can be used to characterize the balance between work and residence; and its characteristic is the vector The slope of is greater than 0 and less than or equal to 1;

[0123] Taking the southeast new town of a certain city as an example, the calculated results are:

[0124] Step 203: convert the impact of various migration activities on job-housing balance into a two-dimensional vector, hereinafter referred to as an impact vector. First, statistically analyze the activity categories of the migration activity database obtained in step 104. Based on the statistical results of the migration activities in the southeast new town of a certain city, the statistical results are converted into different impact vectors according to the activity categories, as follows:

[0125]

[0126]

[0127]

[0128]

[0129]

[0130]

[0131]

[0132]

[0133]

[0134]

[0135] Where: They are the impact vectors of asynchronous residential in-migration, asynchronous employment in-migration, synchronous residential in-migration, synchronous employment in-migration, and synchronous residential and employment in-migration on job-housing balance during the research period; M are the impact vectors of asynchronous residential out-migration, asynchronous employment out-migration, synchronous residential out-migration, synchronous employment out-migration, and synchronous residential and employment in-migration on job-housing balance during the study period; 居异 、M 业异 、M 居同 、M 业同 、M 居业are the number of asynchronous residential in-migration activities, asynchronous employment in-migration activities, synchronous residential in-migration activities, synchronous employment in-migration activities, and synchronous residential and employment in-migration activities during the study period; N 居异 、N 业异 、N 居同 、N 业同 、N 居业 They are the number of asynchronous residential out-migration activities, asynchronous employment out-migration activities, synchronous residential out-migration activities, synchronous employment out-migration activities, and synchronous residential and employment in-migration activities during the study period.

[0136] Step 3: Compound the job-housing balance state vector of the study scope in each period and the impact vectors of various migration activities within the study scope, accumulate them in time series, and visualize them to obtain a long-term monitoring chart of the compound cumulative impact of migration activities on job-housing balance; specifically, the implementation method is as follows:

[0137] Step 301: visualize the state vector. Projected onto a two-dimensional coordinate system in the format of (x, y), where the x-axis is the total population of employees and residents in the region, i.e., C 单业 +C 单居 +C 居业 , the y-axis is the population of people working and living in the same area, that is, C 居业 ,like Figure 3 As shown;

[0138] Step 302: Visualize the influence vector. Similar to the state vector, project the influence vector of each migration activity into two-dimensional coordinates.

[0139] Step 303: Calculate and visualize the composite impact of activities in each period. The composite impact vector of a period can be calculated by directly adding the impact vectors of each migration activity according to research needs. For example, the composite impact of all activities in a period can be studied. The impact vector of all types of migration activities during this period (see Figure 4 ).

[0140] When studying the composite impact of specific migration activities such as "residential migration" (including asynchronous residential migration and synchronous residential migration) and "employment migration" (including asynchronous employment migration and synchronous employment migration), The calculation formula is as follows, and an example calculation is shown using the southeast new town of a certain city as an example:

[0141]

[0142]

[0143]

[0144]

[0145]

[0146]

[0147]

[0148]

[0149] Where: is the composite impact vector of residential migration on job-residence status, including the composite impact direction and intensity of synchronous and asynchronous residential migration and simultaneous job-residence migration on job-residence balance; similarly, is the composite impact vector of employment inward migration activities, is the composite impact vector of residential migration activities, is the composite impact vector of employment out-migration activities, is the composite impact vector of residential and employment migration activities, is the composite impact vector of residential and employment out-migration activities, is the composite impact vector of residential in-migration and out-migration activities, is the composite impact vector of employment in-migration and out-migration activities.

[0150] When the migration activities studied are all migration activities, The calculation formula and the calculation results of the southeast new city of a certain city are as follows. The visual calculation is shown in Figure 5 :

[0151]

[0152] Step 304: Time series cumulative impact measurement and visualization. Based on the state vector of job-housing balance at the start time, the impact vector of a certain type of job-housing migration activity or the composite impact vector of multiple types of migration activities in each period is accumulated, and the composite cumulative impact result vector of a specific job-housing migration activity on the job-housing balance state is calculated. The specific formula for calculating the composite cumulative impact result vector of multiple types of job-housing migration activities on the job-housing balance state is (see Figure 6 ):

[0153]

[0154] Where: is the state vector of the job-housing balance state after the impact at the end of the period, is the state vector of the job-housing equilibrium state at the start time, is the composite impact of certain specific migration activities on job-residence status during the first period of time; similarly, It is the composite impact value of certain specific migration activities on job-residence status during the nth period of time.

[0155] In this embodiment, taking the southeast new town of a certain city as an example, based on the state vector of job-residence balance at the start time, the composite impact vector of all migration activities in two periods is accumulated to obtain the time series cumulative impact result vector of all job-residence migration activities in two periods on the job-residence balance state:

[0156]

[0157] Where: is the impact of all migration activities on job-residence status during the first period; It is the impact of all migration activities on job-residence status during the second period.

[0158] Furthermore, visualization of the cumulative impact of each activity in time series. Based on the images of the state vector and the impact vector obtained in steps 301 and 302 in the two-dimensional coordinate system, the composite impact vector and the affected state vector are plotted in the two-dimensional coordinate system according to the calculation formula proposed in this step, and a time series cumulative impact diagram of the migration activities in the southeast new town of a certain city on the job-housing balance state is obtained, as shown in Figure 2. Figure 7 shown.

[0159] Similarly, for this Southeast New Town, the compound cumulative impact of residential migration activities on the balance between work and residence is calculated visually, such as Figure 8 shown.

[0160] Step 4: Based on the long-term monitoring graph obtained in step 3, vector back-calculate the long-term impact of each job-residence migration activity on the job-residence balance state; this step is specifically as follows:

[0161] Step 401, calculating the slope of the state vector after superposition of the specific influence vectors at the end of the first period;

[0162] In this embodiment, the composite impact vector of the first period obtained in step 303 is superimposed with the state vector of the start time to obtain the state vector of the job-residence balance state after the composite impact of several specific activities at the end of the first period. The job-residence balance state value after the composite impact of specific activities can be obtained by calculating the slope of the state vector, that is, the "job-residence ratio in the same area" after the impact of specific migration activities at the end of the first period:

[0163] Among them, the composite impact vector of the first period obtained in step 3 is:

[0164]

[0165] Where, X 复 express The value on the X axis of the vertical coordinate system, Y 复 express The value on the Y axis of the vertical coordinate system;

[0166] The state vector at the end of the first period is:

[0167]

[0168] Then the state vector at the end of the first period is The slope of is:

[0169]

[0170] Where: is the starting time state vector, is the job-housing equilibrium state vector after the composite impact of specific migration activities at the end of the first period, and P1 is the state vector The slope of C is also the “ratio of employment and residence in the same area” of the region affected by the compound impact of specific migration activities. 居业 C is the number of people whose residence and employment are both in the target area at a certain time point. 单业 is the number of people employed only in the region at a certain time point, C 单居 It is the number of people living only in the district at a certain point in time.

[0171] In this embodiment, taking the southeast new town of a certain city as an example, at the end of the first period, the job-residence balance state affected by residential migration activities, that is, the "job-residence ratio in the same area" is 0.34437.

[0172] Step 402, calculate the slope of the state vector after the specific influence vector is cumulatively superimposed in time series. Specifically, the composite influence vector of each time period obtained in step 304 is superimposed with the state vector of the start time to obtain the state vector of the job-residence balance state after the cumulative influence of the specific migration activity time series. By calculating the slope of the state vector, the job-residence balance state value after the cumulative influence of specific activities in each period, that is, the "job-residence ratio in the same area" can be obtained.

[0173] Taking the southeast new town of a certain city as an example, after two periods, the job-residence balance state, namely the "job-residence ratio in the same area", was 0.34375 due to the cumulative impact of residential migration activities.

[0174] Step 5: Based on the analysis results of the temporal composite cumulative impact of migration on job-housing balance obtained in Steps 3 and 4, identify the driving force and direction of the change in job-housing balance, and put forward suggestions for the development of industrial-city integration; specifically:

[0175] Step 501: Find the development direction of the job-housing balance state according to the time series influence diagram; and judge the development trend of the regional job-housing balance state by observing the slope change of each node according to the change curve of the time series influence accumulation diagram obtained in step 304. If the slope of the state vector at a certain time node increases compared with the previous time node, it means that the regional job-housing balance state is developing in the direction of job-housing balance; if the slope of the state vector at a certain time node decreases compared with the previous time node, it means that the regional job-housing balance state is developing in the direction of job-housing imbalance.

[0176] Taking the southeast new town of a certain city as an example, its job-housing balance, i.e., the “job-housing ratio in the same area”, showed a downward trend year by year in the time series analysis, from the initial 0.333 to 0.327 at the end of the first period and 0.323 at the end of the second period, indicating that the regional job-housing balance is developing towards job-housing imbalance. Figure 7 .

[0177] Step 502: Observe the direction and intensity of the influence vector of each activity in each period, and identify the main driving activities that affect the development of the work-residence balance state. According to the superposition diagram of the state vector and the influence vector of each migration activity, it is possible to intuitively see the direction and intensity of the influence vector of each activity on the initial state vector;

[0178] Taking the residential migration activities in the southeast new town of a certain city as an example, it promotes the regional job-housing balance to develop in the direction of job-housing balance, and the impact intensity in the first period is greater, that is, it plays a more obvious positive role. The second period basically maintains the original trend. Figure 8 .

[0179] Furthermore, combined with the development direction of the job-housing balance state known in step 501, the migration activity that has the most obvious effect on the development of the job-housing balance state is taken as the main driving activity affecting the development of the job-housing balance state. Taking the southeast new town of a certain city as an example, the residential migration activity has the most obvious effect on the development of the job-housing balance state in this area and is the main driving activity for the development of the job-housing balance state.

[0180] Step 503: Propose suggestions for the development of industrial-urban integration. According to the development needs and current status of regional industrial-urban integration, combined with the influence of various migration activities on the balance between work and residence, make detailed plans for the guidance of subsequent migration activities. For example, according to the model analysis, it is found that there are few synchronous residential migration activities in the region, and promoting such activities is conducive to the positive development of regional work-residence balance. Then, corresponding policies should be actively formulated to drive the synchronous migration of single-industry people.

[0181] Taking the southeast new town of a certain city as an example, residential migration will obviously help improve the regional balance between employment and residence, but employment migration is not conducive to the regional balance between employment and residence. Furthermore, the number of synchronous migration for employment is obviously low, while the number of asynchronous migration is obviously too high. Therefore, residential migration should be promoted, combined with the housing preferences of the local employed population, to build a more diverse and rich residential space and improve related facilities to meet the housing needs of the local employed population and continue to attract synchronous residential migration.

[0182] The embodiment of the present invention establishes a dynamic job-residence balance measurement model (i.e., "job-residence ratio in the same area") to quantify and visualize the impact direction and intensity of various job-residence migration activities on the regional job-residence balance state, and calculates the compound impact and time-series cumulative impact of different migration activities through the model, which can realize long-term monitoring of the job-residence balance state and provide a reference for subsequent development suggestions.

[0183] The embodiment of the present invention further provides a system for implementing the above-mentioned visualization analysis method of the compound cumulative impact of migration activities on job-housing balance, including:

[0184] The basic database module is used to obtain the population migration situation between multiple regions of the target area in each period based on big data and time resolution, obtain various migration activities, and build a population migration database;

[0185] The calculation and analysis module is used to establish a dynamic job-housing balance vector model based on the population migration database constructed by the basic database module, and to convert the job-housing balance state into a state vector, and to convert the impact of various migration activities on the job-housing balance into an impact vector;

[0186] The visualization module is used to project the impact of various migration activities on the regional job-housing balance into a two-dimensional coordinate system based on the vector results calculated and analyzed by the calculation and analysis module, and to visualize the evolution process of the job-housing balance state;

[0187] The output module is used to compare the direction and intensity of the impact of various migration activities on the job-housing balance status displayed in the visualization module, identify the driving force and driving direction of the change in the job-housing balance status, and put forward suggestions for the integrated development of industry and city.

[0188] The above are only preferred embodiments of the present invention, and are not intended to limit the implementation methods and protection scope of the present invention. Those skilled in the art should be aware that all solutions obtained by equivalent substitutions and obvious changes made using the contents of the specification of the present invention should be included in the protection scope of the present invention.

Claims

1. A visual analysis method for the compound cumulative impact of migration activities on job-housing balance, characterized in that: The steps include: Step 1: Based on mobile phone signaling data, obtain the composition data of the employment and residence population at the start time within the study area, and obtain the synchronous and asynchronous migration of the population employment and residence in each period in the study area according to the time resolution, and build a population migration time series database; Step 2: Based on the population migration time series database, a dynamic job-housing balance vector model is established to convert the job-housing balance state into a state vector and the impact of various migration activities on the job-housing balance into an impact vector; Step 3: Compound the impact vectors of various migration activities in the same period within the research scope and accumulate them in time series to the job-housing balance state vector of the research scope at the start time, and use two-dimensional coordinates to calculate and visualize them to obtain a long-term monitoring diagram of the compound cumulative impact of migration activities on the job-housing balance state; Step 4: Calculate the long-term impact of each job-residence migration activity on the job-residence balance state based on the long-term monitoring chart of step 3; Step 5: Based on the long-term monitoring diagram obtained in step 3 and the long-term impact results of various job-housing migration activities on the job-housing balance state obtained in step 4, identify the driving force and driving direction of the change in the job-housing balance state, and put forward suggestions for the development of industrial-city integration; Wherein, step 4 specifically includes the following sub-steps: Step 401, calculating the state vector slope after the specific influence vector is superimposed at the end of the first period according to the composite influence vector obtained in step 3 and the starting time state vector, that is, the ratio of job-residence in the same area after being affected by the specific migration activity at the end of the first period; Step 402: Calculate the state vector slope of the specific impact vector after the specific composite impact vector obtained in step 3 and the starting time state vector after the specific impact vector is accumulated and superimposed, that is, the ratio of jobs and residences in the same area after being affected by the specific migration activity at the end of each time period.

2. The visual analysis method for the composite cumulative impact of migration activities on job-housing balance according to claim 1 is characterized in that: Step 1 specifically includes the following sub-steps: Step 101, identifying the user's workplace and residence, assigning regional attributes to the workplace and residence, and obtaining regional workplace and residence population composition data; Step 102: Determine the time resolution of observation according to research requirements, and identify migration activities at time intervals determined by the time resolution; Step 103, after identifying the migration activities, further classify the migration activities according to the characteristics of the residence and employment location before and after the migration; Step 104: construct a job-residence balance status database based on the job-residence balance status data at the starting time obtained in step 101, and construct a migration activity database based on the migration activity data obtained in steps 102 and 103, which together constitute a population migration time series database.

3. The visual analysis method for the composite cumulative impact of migration activities on job-housing balance according to claim 2 is characterized in that: In step 103, the migration activities are divided into synchronous residential migration-in, asynchronous residential migration-in, synchronous residential and business migration-in, synchronous employment migration-in, asynchronous employment migration-in, synchronous residential migration-out, asynchronous residential migration-out, synchronous residential and business migration-out, synchronous employment migration-out, and asynchronous employment migration-out.

4. The visual analysis method for the composite cumulative impact of migration activities on job-housing balance according to claim 3 is characterized in that: Step 2 specifically includes the following sub-steps: Step 201, using the ratio of job to residence in the same area to represent the job-residence balance state, the specific calculation formula of the ratio of job to residence in the same area is as follows: In the formula, P is the ratio of employment to residence in the same area, C 居业 C is the number of people whose residence and employment are both in the target area at a certain time point. 单业 is the number of people employed only in the region at a certain time point, C 单居 is the number of people living only in the district at a certain point in time; Step 202: convert the job-housing balance state of the study area at the start time into a two-dimensional vector, i.e., a state vector, for representing the job-housing balance state, specifically: Where: C 单业 C is the number of people who are employed in the region but do not live in the region; 单居 C is the number of people who only live in the region but are not employed in the region; 居业 C is the number of people who both work and live in the area; 单业 +C 单居 +C 居业 is the total population of employees and residents in the region; vector The slope is the ratio of the population of workers and residents in the same district to the total population of workers and residents in the district, which is used to characterize the balance between work and residence, and its characteristic is the vector The slope of is greater than 0 and less than or equal to 1; Step 203: Perform activity category statistics on the migration activity database obtained in step 1, and based on the statistical results of each migration activity, convert it into different impact vectors according to the activity category, specifically: Where: They are the impact vectors of asynchronous residential in-migration, asynchronous employment in-migration, synchronous residential in-migration, synchronous employment in-migration, and synchronous residential and employment in-migration on job-housing balance during the research period; M are the impact vectors of asynchronous residential out-migration, asynchronous employment out-migration, synchronous residential out-migration, synchronous employment out-migration, and synchronous residential and employment in-migration on job-housing balance during the study period; 居异 、M 业异 、M 居同 、M 业同 、M 居业 are the number of asynchronous residential in-migration activities, asynchronous employment in-migration activities, synchronous residential in-migration activities, synchronous employment in-migration activities, and synchronous residential and employment in-migration activities during the study period; N 居异 、N 业异 、N 居同 、N 业同 、N 居业 They are the number of asynchronous residential out-migration activities, asynchronous employment out-migration activities, synchronous residential out-migration activities, synchronous employment out-migration activities, and synchronous residential and employment in-migration activities during the study period.

5. The visual analysis method for the composite cumulative impact of migration activities on job-housing balance according to claim 3 is characterized in that: Step 3 specifically includes: Step 301, projecting the state vector at the start time onto a two-dimensional coordinate system to achieve visualization; Step 302, projecting the impact vectors of various migration activities into two-dimensional coordinates to achieve visualization; Step 303: sum the impact vectors of multiple types of migration activities in each period, and calculate the composite impact of the combination of multiple types of migration activities on the job-housing balance; typical composite impact The calculation formula is as follows: Where: is the composite impact vector of residential migration on job-residence status, including the composite impact direction and intensity of synchronous and asynchronous residential migration and simultaneous job-residence migration on job-residence balance; similarly, is the composite impact vector of employment inward migration activities, is the composite impact vector of residential migration activities, is the composite impact vector of employment out-migration activities, is the composite impact vector of residential and employment migration activities, is the composite impact vector of residential and employment out-migration activities, is the composite impact vector of residential in-migration and out-migration activities, is the composite impact vector of employment in-migration and out-migration activities, is the composite impact vector of all migration activities; Step 304: Based on the state vector of job-housing balance at the starting time, the impact vectors of a certain type of job-housing migration activities in each period or the composite impact vectors of multiple types of migration activities are accumulated to calculate the composite cumulative impact result vector of a specific job-housing migration activity on the job-housing balance state.

6. The visual analysis method for the composite cumulative impact of migration activities on job-housing balance according to claim 5, characterized in that: The specific formula for calculating the composite cumulative impact result vector of multiple types of job-housing migration activities on the job-housing balance state is: Where: is the state vector of the job-housing balance state after the impact at the end of the period, is the state vector of the job-housing equilibrium state at the start time, is the composite impact of certain specific migration activities on job-residence status during the first period of time; similarly, It is the composite impact value of certain specific migration activities on job-residence status during the nth period of time.

7. The visual analysis method for the composite cumulative impact of migration activities on job-housing balance according to claim 1, characterized in that: The method for calculating the slope of the state vector after the superposition of the specific influence vector at the end of the first period in step 401 is: The composite impact vector obtained in step 3 is superimposed on the starting time state vector to obtain the state vector of the job-residence balance state after the composite impact of several specific activities in the first period. By calculating the slope of the state vector, the job-residence balance state value after the composite impact of specific activities can be obtained, that is, the job-residence ratio in the same area after the impact of specific migration activities at the end of the first period. Among them, the composite impact vector of the first period obtained in step 3 is: Where, X 复 express The value on the X axis of the vertical coordinate system, Y 复 express The value on the Y axis of the vertical coordinate system; The state vector at the end of the first period is: Then the state vector at the end of the first period is The slope of is: Where: is the starting time state vector, is the job-housing equilibrium state vector after the composite impact of specific migration activities at the end of the first period, and P1 is the state vector The slope of is also the ratio of employment and residence in the same area after the compound impact of specific migration activities, C 居业 C is the number of people whose residence and employment are both in the target area at a certain time point. 单业 is the number of people employed only in the region at a certain time point, C 单居 It is the number of people living only in the district at a certain point in time.

8. The visual analysis method for the composite cumulative impact of migration activities on job-housing balance according to claim 1, characterized in that: Step 5 specifically includes: Step 501: According to the change curve of the long-term monitoring diagram of the composite cumulative impact obtained in step 3, by observing the slope change of each node, the development trend of the regional job-housing balance state is determined; Step 502: observe the direction and intensity of the impact vector of each activity in each time period, and identify the main driving activities that affect the development of the work-life balance state; Step 503: Based on the development needs and current status of regional industrial-urban integration and the impact of various migration activities on the balance between work and residence, detailed planning is carried out to guide subsequent migration activities.

9. A system for implementing the visual analysis method of the composite cumulative impact of migration activities on job-housing balance as described in any one of claims 1 to 8, characterized in that: include: The basic database module is used to obtain the population migration situation between multiple regions of the target area in each period based on big data and time resolution, obtain various migration activities, and build a population migration database; The calculation and analysis module is used to establish a dynamic job-housing balance vector model based on the population migration database constructed by the basic database module, and to convert the job-housing balance state into a state vector, and to convert the impact of various migration activities on the job-housing balance into an impact vector; The visualization module is used to project the impact of various migration activities on the regional job-housing balance into a two-dimensional coordinate system based on the vector results calculated and analyzed by the calculation and analysis module, and to visualize the evolution process of the job-housing balance state; The output module is used to compare the direction and intensity of the impact of various migration activities on the job-housing balance status displayed in the visualization module, identify the driving force and driving direction of the change in the job-housing balance status, and put forward suggestions for the integrated development of industry and city.

Images