Population transmission method and system of national land space master plan-control plan based on big data

Abstract

The present invention is applicable to the field of land space planning, and provides a land space master plan-control plan population transmission method and system based on big data, which uses big data to calculate the population ratio of each residential plot; divides the city into circles according to the development and construction status; gives a higher weight to the results of the big data method for mature built-up areas where the population tends to be stable or restricts population development; gives a higher weight than the results of the area method for newly built areas in the stage of population gathering and population cultivation according to the planning control intention; transmits the master plan population to the control plan area unit, thereby controlling the control plan population size. By introducing the concept of big data circle structure, the population transmission is more refined and closer to the objective law.

Description

Technical Field

[0001] The present invention belongs to the field of national land space planning, and in particular relates to a national land space master plan-control plan population transmission method and system based on big data. Background Art

[0002] The national land space planning is a guide for national spatial development, a spatial blueprint for sustainable development, and the basic basis for all kinds of development, protection and construction activities. Establish a national land space planning system and supervise its implementation, integrate spatial planning such as main functional area planning, land use planning, urban and rural planning into a unified national land space planning, realize "multiple plans in one", and strengthen the guiding and restraining role of national land space planning on various special plans. The master plan refers to the comprehensive deployment and specific arrangements made by the city people's government within a certain period of time based on the national economic and social development plan and the local natural environment, resource conditions, historical conditions, and current characteristics, in order to determine the scale and development direction of the city, achieve the city's economic and social development goals, reasonably use urban land, and coordinate the urban spatial layout. The control detailed plan is a plan made by the urban and rural planning authorities of the city and township people's governments to control the nature, use intensity and spatial environment of construction land according to the requirements of the city and town master plans.

[0003] In the past, during the master planning stage, the population growth model was used based on the base year data to predict the population size at the end of the planning period; during the control detailed planning stage, the total amount of residential buildings was calculated based on the land use nature, volume ratio and floor area of ​​the control planning plot, and then the population size of the control planning plot was calculated in reverse. Due to the differences between the master plan and the control plan in terms of population calculation logic, calculation methods, and planning period, there are problems such as loose planning connection and transmission difficulties when the master plan population is transmitted to the control plan. Usually, the population size calculated by the control plan far exceeds the expected population of the master plan, and the population and development intensity of the control planning area do not match the scale and spatial layout of the three major facilities of public service facilities, municipal public facilities, and public safety facilities determined in the master plan. Summary of the invention

[0004] In view of the above problems, on the one hand, the present invention discloses a method for conducting population transmission from the overall planning of land space to the control planning based on big data, and the method comprises:

[0005] Use big data to calculate the population ratio of each residential area;

[0006] Divide cities into zones according to their development and construction status;

[0007] Analyze the development stage of each circle, and use the big data method and the specific area method to obtain the predicted population size of each circle according to the development stage of each circle, and decompose and transmit the population size from the master plan to the control plan level;

[0008] The planned permanent population of each planning area unit shall be determined based on the predicted population size of each circle and the population ratio of each residential plot.

[0009] Furthermore, the use of big data to calculate the population ratio of each residential plot specifically includes: obtaining a current permanent population distribution map calculated by big data and a simulated distribution map of residential land in the central urban area of ​​the master plan;

[0010] The current permanent population distribution map calculated by big data is overlaid and analyzed with the simulated distribution map of residential land in the central urban area of ​​the master plan to obtain the population decomposition and transmission map of each residential land parcel;

[0011] The population proportion of each residential area is obtained based on the population decomposition transmission map and the population proportion calculation model.

[0012] Furthermore, according to the big data method, the population ratio calculation model of the big data method is:

[0013]

[0014] Where i is the grid number, j is the residential land parcel number, m is the total number of residential land parcels, n is the total number of grids located in the j residential land parcel, P i is the permanent population of the ith grid located in the jth residential area, P ij is the permanent population of the i-th grid located in the j-th residential area, K j is the proportion of the permanent population of the jth plot to the total population.

[0015] Furthermore, the division of cities into circles according to their development and construction conditions specifically includes: dividing cities into multiple different circles according to the maturity of urban construction and population control strategies, the circle classifications include population concentration areas, population cultivation areas, population stability areas and population restriction areas; the construction conditions within the circles are homogeneous, which facilitates the weight assignment of units within the circles.

[0016] Furthermore, the ratio area method adopts the ratio of each residential land to the total residential land, and obtains the population ratio after correction by the planning intensity value; according to the ratio area method, the population ratio calculation model of the ratio area method is:

[0017]

[0018] Among them, i is the residential plot number, j is the circle number, m is the total number of residential plots, λ i is the intensity zoning coefficient of the ith residential plot in the current circle, S i is the area of ​​the i-th residential plot in the current circle, λ ij is the intensity zoning coefficient of the ith residential plot located in the jth circle, S ijis the area of ​​the i-th residential plot located in the j-th circle, K j is the population proportion of the j-th circle.

[0019] Furthermore, the factors determined by the intensity value analysis include the spatial structure within the circle, the distribution of main functions, industrial development and future construction status.

[0020] Furthermore, the analysis of the development stage of each circle and the use of a combination of big data method and specific area method to obtain the predicted population size of each circle according to the development stage of each circle specifically include:

[0021] Analyze the development stage of each circle;

[0022] According to the population ratio of each residential plot calculated by the big data method and the population size of the city's overall plan, the population size of each residential plot is inferred according to the population ratio calculation model of the big data method, which is recorded as the population size of the big data method;

[0023] According to the population ratio of each residential plot calculated by the specific area method and the population size of the city's overall plan, the population size of each residential plot is inferred according to the population ratio calculation model of the specific area method, which is recorded as the population size of the specific area method;

[0024] According to the development stage of each circle, the population size controlled by the big data method and the population size controlled by the area ratio method are weighted and normalized to obtain the revised population size controlled by the circle.

[0025] Furthermore, when calculating the population size of the revised control plan of the circle, the more mature the construction of each circle, the higher the weight of the population size controlled by the big data method; the less mature the construction of each circle, the higher the weight of the population size controlled by the area method.

[0026] Furthermore, the calculation model of the weighted normalization process is:

[0027]

[0028] Among them, i is the circle number, t is the total number of circles, λ i is the weight value of the big data in the i-th circle, δ i is the area weight value of the i-th circle, PD i is the number of permanent residents in the i-th circle big data, PT i is the number of permanent residents in the i-th circle area, P 总 It is the total population of the central urban area at the end of the planning period.

[0029] Furthermore, the determination of the planned permanent population of each planning area unit based on the predicted population size of each circle and the population ratio of each residential plot specifically includes:

[0030] Determine the development stage of each circle;

[0031] The population ratio based on the big data method and the population ratio based on the area ratio are weighted and normalized to calculate the population decomposition and transmission ratio of each residential plot; the more mature the construction of each circle is, the higher the weight of the population ratio based on the big data method is; the less mature the construction of the circle is, the higher the weight of the population ratio based on the area ratio is; the weight distribution relationship between the population ratio based on the big data method and the population ratio based on the area ratio is adjusted according to the development stage of the circle;

[0032] The planned permanent population of each planning area unit is determined based on the revised population size of the circle and the population decomposition and transmission ratio of each residential plot.

[0033] On the other hand, a land space master plan-control plan population transmission system based on big data, the system includes:

[0034] The population ratio calculation module is used to calculate the population ratio of each residential area using big data;

[0035] The city circle division module is used to divide cities into circles according to their development and construction status;

[0036] The population size prediction module is used to analyze the development stage of each circle, and use a combination of big data method and specific area method to obtain the predicted population size of each circle according to the development stage of each circle, and decompose and transmit the population size from the master plan to the control plan level;

[0037] The population decomposition and transmission module of the master plan is used to determine the planned permanent population of each planning area unit based on the predicted population size of each circle and the population ratio of each residential plot.

[0038] Furthermore, the population ratio calculation module specifically includes:

[0039] The distribution map acquisition submodule is used to obtain the current permanent population distribution map calculated by big data and the simulated distribution map of residential land in the central urban area of ​​the master plan;

[0040] The overlay analysis submodule is used to overlay and analyze the current permanent population distribution map calculated by big data with the simulated distribution map of residential land in the central urban area of ​​the master plan, and obtain the population decomposition and transmission map of each residential land parcel;

[0041] The population ratio calculation submodule is used to obtain the population ratio of each residential area based on the population decomposition transmission map and the population ratio calculation model.

[0042] Furthermore, the population size prediction module specifically includes:

[0043] The circle development analysis submodule is used to analyze the development stage of each circle;

[0044] The big data reverse deduction submodule is used to reversely deduce the controlled population size of each residential plot according to the population ratio of each residential plot and the urban master plan population size calculated by the big data method, and record it as the controlled population size of the big data method;

[0045] The specific area inversion submodule is used to infer the controlled population size of each residential plot according to the population ratio of each residential plot calculated by the specific area method and the population size of the urban master plan according to the population ratio calculation model of the specific area method, which is recorded as the controlled population size of the specific area method;

[0046] The weighted processing submodule is used to weight and normalize the population size controlled by the big data method and the population size controlled by the area ratio method according to the development stage of each circle, so as to obtain the revised population size controlled by the circle.

[0047] Furthermore, the general population decomposition and transmission module specifically includes:

[0048] The circle development judgment submodule is used to judge the development stage of each circle;

[0049] The population decomposition and transmission ratio determination submodule is used to perform weighted normalization processing on the population ratio of the big data method and the population ratio of the specific area method, and calculate the population decomposition and transmission ratio of each residential plot; the more mature the construction of each circle, the higher the weight of the population ratio of the big data method; when the construction of the circle is less mature, the higher the weight of the population ratio of the specific area method; the weight distribution relationship between the population ratio of the big data method and the population ratio of the specific area method is adjusted according to the development stage of the circle;

[0050] The population decomposition and transmission submodule of the control plan is used to determine the planned permanent population of each control plan area unit based on the revised control plan population size and the population decomposition and transmission ratio of each residential plot.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] This invention integrates big data and creates a population decomposition and transmission model that combines big data decomposition with specific area decomposition for the first time. For mature built-up areas where the population tends to be stable or where population development is restricted, the results of the big data method are given a higher weight. For newly built areas in the stage of population aggregation and population cultivation, the results of the specific area method are given a higher weight according to the planning control intention. The population of the total plan is transmitted to the control plan area unit, thereby controlling the scale of the control plan population. By introducing the concept of big data circle structure, population transmission is made more refined and closer to objective laws.

[0053] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 It shows a technical roadmap of a method for transmitting population from the overall planning of land space to the control planning based on big data;

[0056] Figure 2 The simulated distribution map of residential land in the central urban area of ​​Taiyuan City's master plan is shown;

[0057] Figure 3 The population decomposition and transmission diagram of each residential land parcel of big data in an embodiment of the present invention is shown;

[0058] Figure 4 It shows a simulation diagram of the intensity zoning of the central urban area in an embodiment of the present invention;

[0059] Figure 5 The population decomposition and conduction diagram of residential land using the specific area method in an embodiment of the present invention is shown;

[0060] Figure 6 It shows the distribution map of the permanent population density of the control planning area unit in the embodiment of the present invention;

[0061] Figure 7 The current permanent population density distribution map of the planning area unit in the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0063] This invention uses a combination of big data decomposition and specific area decomposition to conduct population decomposition and transmission from the master plan to the control plan area unit. For mature built-up areas with stable population or limited population development, the results of the big data method are given a higher weight; for newly built areas in the stage of population concentration and population cultivation, the specific area method results are given a higher weight according to the planning control intention. In order to ensure that the data granularity meets the needs of analysis and research, Figure 1 It is a technical roadmap for the population transmission method of national land space master plan-control plan based on big data.

[0064] In one embodiment of the present invention, according to the big data method, the specific content of population ratio calculation is:

[0065] The current population heat map calculated by big data is superimposed with the residential land distribution map of the central urban area of ​​the master plan, and the population ratio of each residential plot can be obtained by taking the intersection. The calculation model is as follows:

[0066]

[0067] Where i is the grid number, j is the residential land parcel number, m is the total number of residential land parcels, n is the total number of grids located in the j residential land parcel, P i is the permanent population of the ith grid located in the jth residential area, P ij is the permanent population of the i-th grid located in the j-th residential area, K j is the proportion of the permanent population of the jth plot to the total population.

[0068] In one embodiment of the present invention, according to the specific area method, the specific content of population ratio calculation is:

[0069] The area ratio decomposition method uses the proportion of each residential land to the total residential land, and obtains the population ratio after correction by the planning intensity zoning map, and then allocates the population according to the total permanent population at the end of the planning period. The calculation model is as follows:

[0070]

[0071] Among them, i is the residential plot number, j is the circle number, m is the total number of residential plots, λ i is the intensity zoning coefficient of the ith residential plot in the current circle, S i is the area of ​​the i-th residential plot in the current circle, λ ij is the intensity zoning coefficient of the ith residential plot located in the jth circle, S ij is the area of ​​the i-th residential plot located in the j-th circle, K j is the population proportion of the j-th circle.

[0072] In addition, the circle division divides cities into different circles, such as population concentration areas, population cultivation areas, population stability areas, and population restriction areas, according to the maturity of urban construction and population control strategies. The construction conditions within the circles are highly homogeneous, which facilitates the weight assignment of units within the circles.

[0073] The circle summary statistics will summarize the current permanent population of each circle separately, so as to obtain the big data current permanent population distribution map of each circle, which is convenient for use in conjunction with the area decomposition method in the next stage.

[0074] In one embodiment of the present invention, the specific content of weighted normalization is:

[0075] The more mature urban construction circles with stable populations and limited population development tend to slightly adjust the current population size at the end of the planning period, while the newly planned areas in the stage of population concentration and population cultivation are more likely to attract population based on large-scale construction. Therefore, combining big data and the specific area method to give different weights in two different scenarios for normalization and redistribution can form the revised circle data. The normalization algorithm is as follows:

[0076]

[0077] Among them, i is the circle number, t is the total number of circles, λ i is the weight value of the big data in the i-th circle, δ i is the area weight value of the i-th circle, PD i is the number of permanent residents in the i-th circle big data, PT i is the number of permanent residents in the i-th circle area, P 总 It is the total population of the central urban area at the end of the planning period.

[0078] It should be noted that the control planning area unit is a more suitable carrier for the transmission of the master plan downward. The control of the control planning area unit ensures the implementation of the planning intention to the detailed plan and special plan. When the population of the circle is determined, the population of the residential plots is decomposed and transmitted according to the population proportion of big data in the mature construction area, and the population of the residential plots is decomposed and transmitted according to the population proportion of the area in the construction development area. Then, the "area name" field attribute of the control planning area unit is used for summary statistics to obtain the total population of each control planning area unit.

[0079] The present invention incorporates big data sources, conducts data processing and analysis and research on model algorithms for population decomposition and conduction, proposes a "top-down and bottom-down" population decomposition and conduction model, and introduces the concept of big data circle structure to make population conduction more refined and closer to objective laws. It improves and optimizes the homogenization phenomenon that is inconsistent with reality in traditional population decomposition and conduction methods, and changes the individual uncertainty brought about by the traditional planning method of decomposing population based on planning experience.

[0080] Test Cases

[0081] In order to test the accuracy and feasibility of the method of the present invention, the population decomposition and transmission process will be demonstrated using the method of the present invention in combination with the general plan and population distribution of Taiyuan City.

[0082] (1) Population ratio calculation

[0083] The current permanent population distribution map calculated by big data is compared with the simulated distribution map of residential land in the central urban area of ​​the master plan (see Figure 2 ) to perform overlay analysis and obtain the population decomposition and transmission map of each residential land parcel of the big data (see Figure 3 ), and then the population ratio of each residential area can be calculated according to formula (1).

[0084] (2) Summary statistics by circle

[0085] 1) Circle division

[0086] According to the urban construction situation of Taiyuan City in 2020 and combined with the urban development boundaries, the towns are divided into five circles. Each lower circle does not include the upper circle. See Table 1 for details.

[0087] Table 1 Circle Overview

[0088]

[0089] 2) Summary statistics by layer

[0090] According to the Communiqué of the Seventh National Population Census, the permanent population of the six urban districts of Taiyuan City in 2020 was 4.5291 million, and the urban population was 4.3037 million. The central urban area is the main urbanized area, so the permanent population of the central urban area is 4.3037 million. The permanent population of each circle and the proportion of the total population are summarized in Table 2.

[0091] Table 2 Population statistics of each circle

[0092] Circle name Aggregate population ratio Permanent population (10,000 people) City Ring 9.56％ 41.14 Inner Ring 20.62％ 88.74 Central 34.96％ 150.46 High speed ring 23.55％ 101.35 Development Boundary Ring 11.31％ 48.68

[0093] (3) Specific area method

[0094] In order to form a synergistic effect with big data, the preliminary summary unit of the specific area decomposition method is also determined to be five layers. Figure 4 This is a simulation map of the intensity zoning of the central urban area. The central urban area is divided into five levels of intensity zones based on the spatial structure, main functional distribution, industrial development, future construction and other influencing factors in the map. Due to the different population density of each residential intensity level, the intensity coefficient of the five-level intensity zone is determined according to the actual situation of the research area as shown in Table 3.

[0095] Table 3 Intensity partition coefficient table

[0096] Intensity Zones Strength coefficient (γ) High strength 1.6 Higher strength 1.2 Medium Strength 1.0 Lower strength 0.8 Low intensity 0.6

[0097] The specific area decomposition method is divided according to the population size at the end of the planning period: the present invention simulates that the planned urban population size of the central urban area of ​​Taiyuan in 2035 is 6 million people, and the population decomposition transmission diagram of the residential land by the specific area method is calculated according to the model of formula (2), see Figure 5 ; The statistical results of the five-layer population ratio using the ratio area method are shown in Table 4.

[0098] Table 4 Statistical table of population proportions in the five circles using the area ratio method

[0099] Circle name Aggregate population ratio Permanent population (10,000 people) City Ring 1.41％ 8.46 Inner Ring 6.06％ 36.36 Central 21.42％ 128.52 High speed ring 29.77％ 178.62 Development Boundary Ring 41.34％ 248.04

[0100] (4) Weighted Normalization

[0101] Through the analysis of the development of Taiyuan's urban construction, the city construction of the city ring, inner ring and middle ring is relatively mature, and the weight of big data should be higher. According to the planning intention, the city ring will moderately relieve the population, and the big data weight λ is set to 0.8, and the specific area weight σ is set to 0.2; the inner ring and middle ring will develop steadily, and the existing population size will be maintained or only slightly adjusted. The big data weight λ of the inner ring and middle ring is set to 0.9, and the specific area weight σ is set to 0.1. The urban construction of the expressway ring and the development boundary ring is still gradually carried out. In addition, with the implementation of the Shanxi Transformation Comprehensive Reform Demonstration Zone, the planning has a stronger guiding significance for development. The specific area weight σ of these two rings is set to 0.8, and the big data weight λ is set to 0.2. Table 5 is a statistical table of normalized population size calculated by the model of formula (3).

[0102] Compared with the current big data permanent population, after normalization, the population of the city ring has been relieved by 21.8%, the development boundary ring has attracted 302.34% of the population, and the expressway ring has also attracted 51.48% of the population. There is a small outflow of population in the inner and middle rings, which is consistent with the planning intention. The development boundary ring centered on the comprehensive reform zone and its surrounding areas will become another population gathering place in Taiyuan City, and Taiyuan City will gradually develop towards multi-center and networked development.

[0103] Table 5 Normalized population size statistics

[0104]

[0105] (5) Calculate the population of the planning area

[0106] After the population of each circle is determined, the proportion of residential land in each circle is normalized. The city ring, inner ring, and middle ring are determined by the normalization of the proportion of permanent population in big data; the high-speed ring and development boundary ring are determined by the normalization of the proportion of population to area. In this way, the planned permanent population of all residential plots can be calculated. Finally, all residential plots are classified and summarized to obtain the planned permanent population of each control planning area unit. Figure 6 Plan the permanent population density distribution map for the planning area unit. Figure 7 This is the current permanent population density distribution map of the control area. By comparing with the current situation, it can be seen that the southward and northward expansion of population distribution is consistent with the planning intention of the master plan.

[0107] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for conducting population transmission from the overall planning of national land space to the control planning based on big data, characterized in that: The method comprises: Use big data to calculate the population ratio of each residential area; Divide cities into zones according to their development and construction status; Analyze the development stage of each circle, and use the big data method and the specific area method to obtain the predicted population size of each circle according to the development stage of each circle, and decompose and transmit the population size from the master plan to the control plan level; Determine the planned permanent population of each planning area unit based on the predicted population size of each circle and the population ratio of each residential plot; The method of calculating the population ratio of each residential area using big data specifically includes: Obtain the current permanent population distribution map calculated by big data and the simulated distribution map of residential land in the central urban area of ​​the master plan; The current permanent population distribution map calculated by big data is overlaid and analyzed with the simulated distribution map of residential land in the central urban area of ​​the master plan to obtain the population decomposition and transmission map of each residential land parcel; The population ratio of each residential area is obtained according to the population decomposition transmission map and the population ratio calculation model; The ratio area method adopts the ratio of each residential land to the total residential land, and obtains the population ratio after correction by the planning intensity value; according to the ratio area method, the population ratio calculation model of the ratio area method is: Among them, i is the residential plot number, j is the circle number, m is the total number of residential plots, and λ i is the intensity zoning coefficient of the ith residential plot in the current circle, S i is the area of ​​the i-th residential plot in the current circle, λ ij is the intensity zoning coefficient of the ith residential plot located in the jth circle, S ij is the area of ​​the i-th residential plot located in the j-th circle, K j is the population proportion of the j-th circle.

2. The method for transmitting population from the overall planning of land space to the control planning based on big data according to claim 1 is characterized in that: According to the big data method, the population ratio calculation model of the big data method is: Where i is the grid number, j is the residential land parcel number, m is the total number of residential land parcels, n is the total number of grids located in the j residential land parcel, P i is the permanent population of the ith grid located in the jth residential area, P ij is the permanent population of the i-th grid located in the j-th residential area, K j is the proportion of the permanent population of the jth plot to the total population.

3. The method for transmitting population from the overall planning of land space to the control planning based on big data according to claim 1 is characterized in that: The above-mentioned classification of cities into different levels according to their development and construction status specifically includes: Cities are divided into different circles according to the maturity of urban construction and population control strategies; The circle classification includes population gathering area, population cultivation area, population stability area and population restriction area; The construction conditions within the circle are homogeneous, which facilitates the weight assignment of units within the circle.

4. The method for transmitting population from the overall planning of land space to the control planning based on big data according to claim 1 is characterized in that: The factors determined by the intensity value analysis include the spatial structure within the circle, the distribution of main functions, industrial development and future construction status.

5. The method for conducting population from the master plan to the control plan based on big data according to any one of claims 1 to 4, characterized in that: The analysis of the development stage of each circle and the use of a combination of big data method and specific area method to obtain the predicted population size of each circle according to the development stage of each circle specifically include: Analyze the development stage of each circle; According to the population ratio of each residential plot calculated by the big data method and the population size of the city's overall plan, the population size of each residential plot is inferred according to the population ratio calculation model of the big data method, which is recorded as the population size of the big data method; According to the population ratio of each residential plot calculated by the specific area method and the population size of the city's overall plan, the population size of each residential plot is inferred according to the population ratio calculation model of the specific area method, which is recorded as the population size of the specific area method; According to the development stage of each circle, the population size of the big data method and the area-based method will be used to control the population size of the circle. The population size is weighted and normalized to obtain the revised population size of the circle.

6. The method for transmitting population from the overall planning of national land space to the control planning based on big data according to claim 5 is characterized in that: When calculating the population size of the revised control plan for the circle, the more mature the construction of each circle, the higher the weight of the population size controlled by the big data method; the less mature the construction of each circle, the higher the weight of the population size controlled by the area method.

7. The method for transmitting population from the overall planning of national land space to the control planning based on big data according to claim 5 is characterized in that: The calculation model of the weighted normalization process is: Among them, i is the circle number, t is the total number of circles, λi is the weight value of the big data of the i-th circle, δi is the weight value of the specific area of ​​the i-th circle, PDi is the number of permanent residents in the big data of the i-th circle, PTi is the number of permanent residents in the i-th circle specific area, and Ptotal is the total population of the central urban area at the end of the planning period.

8. The method for transmitting population from the overall planning of national land space to the control planning based on big data according to claim 5 is characterized in that: The above-mentioned method of determining the planned permanent population of each planning area unit based on the predicted population size of each circle and the population ratio of each residential plot specifically includes: Determine the development stage of each circle; The population ratio of the big data method and the population ratio of the area ratio are weighted and normalized to calculate the The population decomposition and transmission ratio of the residential area; the more mature the construction of each circle is, the higher the weight of the population ratio of the big data method is; when the construction of the circle is less mature, the weight of the population ratio of the area method is higher. The higher the weight, the more important it is; adjust the weight distribution relationship between the population proportion based on the big data method and the population proportion based on the area ratio method according to the development stage of the circle; According to the population size of the circle-level revised control plan and the population decomposition and transmission ratio of each residential plot, Determine the planned permanent population of each planning area unit.

9. A land space master plan-control plan population transmission system based on big data, characterized by: The system comprises: The population ratio calculation module is used to calculate the population ratio of each residential area using big data; The city circle division module is used to divide cities into circles according to their development and construction status; The population size prediction module is used to analyze the development stage of each circle, and use a combination of big data method and specific area method to obtain the predicted population size of each circle according to the development stage of each circle, and decompose and transmit the population size from the master plan to the control plan level; The master plan population decomposition and transmission module is used to determine the planned permanent population of each control plan area unit based on the predicted population size of each circle and the population ratio of each residential plot; The population ratio calculation module specifically includes: The distribution map acquisition submodule is used to obtain the current permanent population distribution map calculated by big data and the simulated distribution map of residential land in the central urban area of ​​the master plan; The overlay analysis submodule is used to overlay and analyze the current permanent population distribution map calculated by big data with the simulated distribution map of residential land in the central urban area of ​​the master plan, and obtain the population decomposition and transmission map of each residential land parcel; The population ratio calculation submodule is used to obtain the population ratio of each residential area according to the population decomposition transmission map and the population ratio calculation model; The ratio area method adopts the ratio of each residential land to the total residential land, and obtains the population ratio after correction by the planning intensity value; according to the ratio area method, the population ratio calculation model of the ratio area method is: Among them, i is the residential plot number, j is the circle number, m is the total number of residential plots, and λ i is the intensity zoning coefficient of the ith residential plot in the current circle, S i is the area of ​​the i-th residential plot in the current circle, λ ij is the intensity zoning coefficient of the ith residential plot located in the jth circle, S ij is the area of ​​the i-th residential plot located in the j-th circle, K j is the population proportion of the j-th circle.

10. The land space master plan-control plan population transmission system based on big data according to claim 9 is characterized in that: The population size prediction module specifically includes: The circle development analysis submodule is used to analyze the development stage of each circle; The big data reverse deduction submodule is used to reversely deduce the controlled population size of each residential plot according to the population ratio of each residential plot and the urban master plan population size calculated by the big data method, and record it as the controlled population size of the big data method; The specific area inversion submodule is used to infer the controlled population size of each residential plot according to the population ratio of each residential plot calculated by the specific area method and the population size of the urban master plan according to the population ratio calculation model of the specific area method, which is recorded as the controlled population size of the specific area method; The weighted processing submodule is used to weight and normalize the population size controlled by the big data method and the population size controlled by the area ratio method according to the development stage of each circle, so as to obtain the revised population size controlled by the circle.

11. The land space master plan-control plan population transmission system based on big data according to claim 9 is characterized in that: The population decomposition and transmission module of the general plan specifically includes: The circle development judgment submodule is used to judge the development stage of each circle; The population decomposition and transmission ratio determination submodule is used to perform weighted normalization processing on the population ratio of the big data method and the population ratio of the specific area method, and calculate the population decomposition and transmission ratio of each residential plot; the more mature the construction of each circle, the higher the weight of the population ratio of the big data method; when the construction of the circle is less mature, the higher the weight of the population ratio of the specific area method; adjust according to the development stage of the circle The weight distribution relationship between the population ratio by big data method and the population ratio by area ratio method; The population decomposition and transmission submodule of the control plan is used to determine the planned permanent population of each control plan area unit based on the revised control plan population size and the population decomposition and transmission ratio of each residential plot.

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