CN113379310A - Rural settlement space reconstruction service system and method based on RSSRI - Google Patents

Rural settlement space reconstruction service system and method based on RSSRI Download PDF

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CN113379310A
CN113379310A CN202110741912.4A CN202110741912A CN113379310A CN 113379310 A CN113379310 A CN 113379310A CN 202110741912 A CN202110741912 A CN 202110741912A CN 113379310 A CN113379310 A CN 113379310A
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李和平
靳泓
池小燕
谢鑫
付鹏
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Abstract

The invention provides a rural settlement space reconstruction service system and a method based on RSSRI, wherein the system comprises an index construction unit: the evaluation index system is used for establishing an evaluation index system based on social dimension, economic dimension and space dimension; a collecting unit: the method comprises the steps of acquiring rural settlement data in a preset analysis time period; a model construction unit: the method is used for constructing a rural settlement space reconstruction index, a coupling model and a coordination model; a policy output unit: the system comprises a coupling model, a coordination model, a rural settlement space reconstruction model and a remote monitoring system, wherein the coupling model and the coordination model are used for transmitting rural settlement data to the coupling model and the coordination model and obtaining a rural settlement space reconstruction state according to output results of the coupling model and the coordination model; and selecting a corresponding strategy from a preset strategy library according to the reconstruction state of the rural settlement space, and outputting the strategy. The system can simply and efficiently analyze the reconstruction state of the rural settlement space and conduct planning strategy guidance.

Description

Rural settlement space reconstruction service system and method based on RSSRI
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a rural settlement space reconstruction service system and method based on RSSRI.
Background
The village settlement refers to the phenomenon, process and form of centralized living in a certain region of people who are closely related to agricultural production in a certain scale. Along with the development process of a series of villages such as rural urbanization, agricultural industrialization, rural tourism scaling and the like, rural settlement is undergoing rapid transformation, functional reorganization and spatial reorganization. Rural settlement reconstruction comprises three dimensions of space reconstruction, economic reconstruction and social reconstruction, and series internal transformation of rural economic society and the like is shown in a settlement space reconstruction mode. At present, most of analysis of rural settlement space reconstruction is qualitative analysis, and past analysis usually only simply describes the rural settlement space reconstruction state, and the stage of rural settlement space reconstruction is still distinguished and stays in a qualitative description mode, so that the stage analysis according to the rural settlement space reconstruction is incomplete, and the planning strategy guidance efficiency is low.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a rural settlement space reconstruction service system and method based on RSSRI, which can simply and efficiently analyze the rural settlement space reconstruction state and carry out planning strategy guidance.
In a first aspect, a system for rural community space reconfiguration service based on RSSRI comprises:
an index construction unit: the evaluation index system is used for establishing an evaluation index system based on social dimension, economic dimension and space dimension;
a collecting unit: the method comprises the steps of acquiring rural settlement data in a preset analysis time period;
a model construction unit: the method is used for constructing a rural settlement space reconstruction index, a coupling model and a coordination model;
a policy output unit: the system comprises a coupling model, a coordination model, a rural settlement space reconstruction model and a remote monitoring system, wherein the coupling model and the coordination model are used for transmitting rural settlement data to the coupling model and the coordination model and obtaining a rural settlement space reconstruction state according to output results of the coupling model and the coordination model; and selecting a corresponding strategy from a preset strategy library according to the reconstruction state of the rural convergence space, and outputting the strategy.
Preferably, the evaluation index system comprises a plurality of measure indexes and corresponding index weights;
the measure indexes comprise economic dimension evaluation indexes, social dimension evaluation indexes and space dimension evaluation indexes; the economic dimension evaluation indexes comprise urban fixed asset investment, agricultural labor productivity and income controllable by residents living in rural areas; the social dimension evaluation indexes comprise the urbanization rate and the rural population change rate; the spatial dimension evaluation indexes comprise the change rate of the farmland, the per capita housing area of the village and the population density of the village.
Preferably, the rural settlement data comprises:
analyzing the town population number, the total population number, the country population number and the land area of the research object in the time period; analyzing the population number of the final country, the population number of the initial country, the cultivated land area of the final country and the cultivated land area of the initial country in the time period; the investment amount of the fixed assets in cities and towns, the total output value of agriculture, forestry, animal husbandry and fishery, the total number of labor force of agriculture, forestry, animal husbandry and fishery, the dominant income of residents in rural areas and the per capita housing area of the rural areas of the research subjects.
Preferably, the rural settlement space reconstruction index RSSRI is obtained by the following formula:
Figure BDA0003141667800000021
wherein S isiNormalized values for the ith measure index,
Figure BDA0003141667800000022
xiis the value of the ith measure index, xminIs the minimum value of the measure index, xmaxIs the maximum value of the measure index, wiThe index weight corresponding to each measure index, and n is the number of measure indexes.
Preferably, the coupling model is as follows:
Figure BDA0003141667800000023
wherein, C is the coupling degree, rssri (e) is the sum of products of all measure indexes in the economic dimension evaluation index and corresponding index weights, rssri (so) is the sum of products of all measure indexes in the social dimension evaluation index and corresponding index weights, rssri (sp) is the sum of products of all measure indexes in the spatial dimension evaluation index and corresponding index weights;
the coordination model is as follows:
Figure BDA0003141667800000031
wherein D is co-scheduling.
Preferably, the policy output unit is specifically configured to:
transmitting the village settlement data to the coupling model and the coordination model to obtain the coupling degree and the coordination schedule corresponding to the village settlement data;
and inputting the coupling degree and the coordination degree into ArcGIS software to obtain the rural settlement space reconstruction state.
In a second aspect, a method for rural settlement space reconfiguration service based on RSSRI comprises the following steps:
establishing an evaluation index system based on social dimension, economic dimension and space dimension;
acquiring rural settlement data in a preset analysis time period;
constructing a rural settlement space reconstruction index, a coupling model and a coordination model;
transmitting the rural settlement data to a coupling model and a coordination model, and obtaining a rural settlement space reconstruction state according to output results of the coupling model and the coordination model; and selecting a corresponding strategy from a preset strategy library according to the reconstruction state of the rural settlement space, and outputting the strategy.
Preferably, the evaluation index system comprises a plurality of measure indexes and corresponding index weights;
the measure indexes comprise economic dimension evaluation indexes, social dimension evaluation indexes and space dimension evaluation indexes; the economic dimension evaluation indexes comprise urban fixed asset investment, agricultural labor productivity and income controllable by residents living in rural areas; the social dimension evaluation indexes comprise the urbanization rate and the rural population change rate; the spatial dimension evaluation indexes comprise the change rate of the farmland, the per capita housing area of the village and the population density of the village.
Preferably, the rural settlement data comprises:
analyzing the town population number, the total population number, the country population number and the land area of the research object in the time period; analyzing the population number of the final country, the population number of the initial country, the cultivated land area of the final country and the cultivated land area of the initial country in the time period; the investment amount of the fixed assets in cities and towns, the total output value of agriculture, forestry, animal husbandry and fishery, the total number of labor force of agriculture, forestry, animal husbandry and fishery, the dominant income of residents in rural areas and the per capita housing area of the rural areas of the research subjects.
According to the technical scheme, the rural settlement space reconstruction service system and method based on RSSRI provided by the invention analyze the rural settlement space reconstruction process and state and perform visual display. The system can identify the problem area of rural development, systematically summarize the pattern characteristics of the problem area, and provide a macroscopic, systematic and targeted strategy for guidance.
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In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a block diagram of a rural settlement space reconfiguration service system according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating a method performed by the rural settlement space reconfiguration service system according to an embodiment of the present invention.
Fig. 3 is a comprehensive reconstruction pattern of the Chongqing city in 2017 in 2005 provided by the second embodiment of the present invention.
Fig. 4 is an economic dimension reconstruction schema provided in the second embodiment of the present invention.
Fig. 5 is a social dimension reconstruction schema provided in the second embodiment of the present invention.
Fig. 6 is a spatial dimension reconstruction pattern according to a second embodiment of the present invention.
Fig. 7 is a schematic view of the coupling degree analysis in 2017 in 2005 provided by the second embodiment of the present invention.
Fig. 8 is a schematic diagram illustrating the coordination analysis in 2017 in 2005, provided by the second embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby. It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
It will be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted in accordance with the context to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
The first embodiment is as follows:
an RSSRI-based rural community space reconfiguration service system, referring to fig. 1 and 2, includes:
an index construction unit: the evaluation index system is used for establishing an evaluation index system based on social dimension, economic dimension and space dimension;
a collecting unit: the method comprises the steps of acquiring rural settlement data in a preset analysis time period;
a model construction unit: the method is used for constructing a rural settlement space reconstruction index, a coupling model and a coordination model;
a policy output unit: the system comprises a coupling model, a coordination model, a rural settlement space reconstruction model and a remote monitoring system, wherein the coupling model and the coordination model are used for transmitting rural settlement data to the coupling model and the coordination model and obtaining a rural settlement space reconstruction state according to output results of the coupling model and the coordination model; and selecting a corresponding strategy from a preset strategy library according to the reconstruction state of the rural convergence space, and outputting the strategy.
Specifically, if the rural settlement space reconstruction state is an advanced stage: in the stage, the economic strength of each district and county is strong, and the rural settlement is greatly influenced by city construction in the process of city expansion. Therefore, in the process that the reconstruction of the village settlement space is embedded into the urban and rural fusion at this stage, the village should grasp the opportunity of urban construction and actively take over part of urban function transfer, the settlement space is mainly expanded by non-agricultural construction land, and the land of rural residential sites is intensively constructed; meanwhile, the feature of the country landscape is kept, the construction of an ecological space pattern is emphasized, and the phenomenon of urban landscape of the country is avoided.
If the reconstruction state of the rural settlement space is in the middle stage: in the stage, the urbanization process of each district and county is rapid, in the rapid development process, the urban and rural coordinated development is emphasized, urban infrastructure and basic public service are promoted to extend to the village, and the spatial quality of the village is improved; meanwhile, the expansion of the rural land is controlled, the intensive land utilization of residential sites is promoted in order, and a central town with certain influence is formed. The core district should actively connect with the city development and build, improve the influence of central cities and towns, strengthen the transformation and upgrade of agricultural industry, realize the large-scale and industrialized operation of agricultural land, improve the utilization benefit of agricultural land, strengthen the construction of rural infrastructure, and promote the development level of rural areas.
If the reconstruction state of the rural settlement space is a primary stage: most natural resources in the region are rich, the economic development is relatively lagged due to the limitation of landform and landform, the population of the village is scattered, most of labor force is transferred to towns, and the development conditions of the village are not good. Therefore, in the process of transformation development of the village, the green economy is mainly developed in the region, and the village tourism is developed by utilizing abundant natural and human resources to construct an important ecological barrier of the city.
This system has the following advantages:
1. the reconstruction state of the rural settlement space can be described quantitatively. The rural community space reconstruction is a continuous process, so that the stage state of the rural community space reconstruction can represent the state and the degree of the rural community space reconstruction in a certain period. Therefore, the method expresses the rural settlement space reconstruction state by using numerical values, and constructs the rural settlement space reconstruction index to describe the rural settlement reconstruction state and degree.
2. The rural settlement space reconstruction comprises a reconstruction process of three dimensions of economy-society-space, therefore, the rural settlement space reconstruction index comprises an economy reconstruction index (RSSRI (e)), a society reconstruction index (RSSRI (so)) and a space reconstruction index (RSSRI (sp)), and the rural settlement space reconstruction index is the sum of the indexes of the three dimensions of economy-society-space, therefore, the invention adopts a linear weighting sum method to measure and calculate the Rural Settlement Space Reconstruction Index (RSSRI). Meanwhile, the economic reconstruction, the social reconstruction and the spatial reconstruction can be understood as three systems with mutual influence, and the systems are finally displayed in the form of rural settlement spatial reconstruction. Only when the coupling coordination relationship of the economy, the society and the space reconstruction reaches a relatively balanced state, the rural settlement space reconstruction can be displayed in a reasonable form, and various systems of rural economy, society and the like are favorably developed. Therefore, when describing the reconstruction state of the rural settlement space, the coupling coordination degree of the three parts is correspondingly judged. Therefore, the invention analyzes the coupling coordination state of the three through the coupling model and the coordination model.
3. The system can divide the reconstruction stage and visually display the reconstruction stage, divide the reconstruction stage into three levels of a primary stage, a middle stage and a high stage of reconstruction by using ArcGIS software through a natural breakpoint method, and realize visual operation on an ArcGIS software platform.
Preferably, the evaluation index system comprises a plurality of measure indexes and corresponding index weights;
the measure indexes comprise economic dimension evaluation indexes, social dimension evaluation indexes and space dimension evaluation indexes; the economic dimension evaluation indexes comprise urban fixed asset investment, agricultural labor productivity and income controllable by residents living in rural areas; the social dimension evaluation indexes comprise the urbanization rate and the rural population change rate; the spatial dimension evaluation indexes comprise the change rate of the farmland, the per capita housing area of the village and the population density of the village.
Specifically, the evaluation index system is constructed because the power factors for the development of the rural settlement transformation and the promotion of transformation reconstruction mainly come from the development level of rural economy, the change condition of rural population, the utilization condition of rural space and the like.
The system can determine the index weight of each measure index by adopting an expert scoring mode. For example, scoring opinions of 3 experts are adopted, and index weights are obtained comprehensively. In the economic dimension evaluation indexes, the index weight of the urban fixed asset investment is 0.099, the index weight of the agricultural labor productivity is 0.061, and the index weight of the rural permanent resident income dominating people is 0.059. In the social dimension evaluation indexes, the index weight of the urbanization rate is 0.321, and the index weight of the rural population change rate is 0.134. In the space dimension evaluation indexes, the index weight of the farmland change rate is 0.157, the index weight of the rural per capita housing area is 0.037, and the index weight of the rural population density is 0.132.
Preferably, the rural settlement data comprises:
analyzing the town population number, the total population number, the country population number and the land area of the research object in the time period; analyzing the population number of the final country, the population number of the initial country, the cultivated land area of the final country and the cultivated land area of the initial country in the time period; the investment amount of the fixed assets in cities and towns, the total output value of agriculture, forestry, animal husbandry and fishery, the total number of labor force of agriculture, forestry, animal husbandry and fishery, the dominant income of residents in rural areas and the per capita housing area of the rural areas of the research subjects.
The calculation formula of each measure index is shown in table 1:
table 1:
Figure BDA0003141667800000081
preferably, the rural settlement space reconstruction index RSSRI is obtained by the following formula:
Figure BDA0003141667800000082
wherein S isiNormalized values for the ith measure index,
Figure BDA0003141667800000083
xiis the value of the ith measure index, xminIs the minimum value of the measure index, xmaxIs the maximum value of the measure index, wiThe index weight corresponding to each measure index, and n is the number of measure indexes.
Specifically, since the measurement indexes have different dimensions, the measurement indexes may be normalized by an extreme method. SiIs dimensionless and has a value range of 0-1. The higher the value of the rural settlement space reconstruction index is, the higher the settlement space reconstruction degree is, and the reconstruction state characteristic is obvious; otherwise, the reconstruction change degree is small.
Preferably, the coupling model is as follows:
Figure BDA0003141667800000091
wherein, C is the coupling degree, rssri (e) is the sum of products of all measure indexes in the economic dimension evaluation index and corresponding index weights, rssri (so) is the sum of products of all measure indexes in the social dimension evaluation index and corresponding index weights, rssri (sp) is the sum of products of all measure indexes in the spatial dimension evaluation index and corresponding index weights;
in particular, the coupling model may be expressed as:
Figure BDA0003141667800000092
wherein, the value interval of C is [0,1 ]. However, since the standardization process is adopted, the economic dimension evaluation index, the social dimension evaluation index, or the spatial dimension evaluation index may be 0. And when the above one evaluation index is 0, the coupling degree is 0, so the system further deduces the coupling model by using the coefficient of variation to obtain:
Figure BDA0003141667800000093
the coordination model is as follows:
Figure BDA0003141667800000094
wherein D is co-scheduling.
Specifically, the coupling degree can only reflect the strength of the relationship between the systems, and cannot reflect the level thereof. Therefore, the system also introduces a coordination degree model, not only considers the interaction strength of the economy, the society and the space dimensionality, but also pays attention to the respective reconstruction states of the economy, the society and the space dimensionality so as to better judge the coordination degree of the interactive coupling.
Preferably, the policy output unit is specifically configured to:
transmitting the village settlement data to the coupling model and the coordination model to obtain the coupling degree and the coordination schedule corresponding to the village settlement data;
and inputting the coupling degree and the coordination degree into ArcGIS software to obtain the rural settlement space reconstruction state.
Specifically, the ArcGIS software divides the rural settlement space reconstruction state into three levels, namely a primary level stage, a middle level stage and a high level stage through a natural breakpoint method, and visualizes the three levels.
Example two:
the embodiment further illustrates the effect of the rural settlement space reconfiguration service system.
1) A research area is selected, the research area is a Chongqing city, a district and a county are taken as specific research objects, and the research objects are 38 districts (counties) of the Chongqing city.
2) In order to more accurately research the state and degree of reconstruction of the settlement space of counties and villages in each district and county of the Chongqing city, relevant economic, social and land data including the urbanization rate, the change rate of the county population, the investment of fixed assets in cities and towns, the agricultural labor productivity, the domination income of residents living in the counties, the change rate of cultivated land, the average living area of the counties, the population density of the counties and the like in three periods of 2005, 2012 and 2017 of the research area need to be acquired.
3) Through the data analysis, the scores are obtained through weighting, and finally the total reconstruction index of each district is determined. In summary, referring to table 2 and fig. 3, in 2005-2017, the mean value of the reconstruction index of Chongqing village was increased from 0.46 to 0.53, during which the village area was in the transformation reconstruction state, but the reconstruction state was relatively stable and the pattern was basically unchanged, and the high-value county percentage was maintained at 56%. The reconstruction index scores of 37 counties are imported into ArcGIS software, and are divided into three levels of a primary stage, a middle stage and a high stage of reconstruction through a natural breakpoint method.
Table 2:
Figure BDA0003141667800000111
4) in order to research the space-time distribution condition of the rural settlement reconstruction state of three dimensions in Chongqing city, ArcGIS software is used, a space-time distribution state diagram is drawn by adopting a natural fracture method, and the rural settlement space reconstruction state of Chongqing city is comprehensively evaluated in different time sections and different regions.
Referring to fig. 4, the economic reconfiguration state: the mean values of the economic reconstitution indices over the 3 study periods were 0.065, 0.084, 0.093, respectively. In 2005, 45.9% of prefecture reconstruction indexes were greater than the mean, and high-mean areas were distributed centrally in major urban areas and Yuxi district; in 2012, 54.0% of district reconstruction indexes are larger than the mean value and are intensively distributed in a main city district and a Yuxi district, and the Wanzhou district of the Yunortheast district is a newly added high-value district; in 2017, 51.3% of the prefecture and county restructuring index was greater than the mean, and the high mean region remained essentially unchanged from 2012.
Referring to fig. 5, the social reconfiguration status: the mean values of social reconstruction indices over 3 study periods were 0.205, 0.225, 0.220, respectively. In 2005, 40.5% of prefecture reconstruction indexes were greater than the mean, and high-mean regions were distributed in major urban areas, Yuxi districts and Yunortheast districts; in 2012, 43.2% of prefecture reconstruction indexes are greater than the mean value, the reconstruction pattern is not obviously changed in 2005, wherein the Qijiang district in the Yuxi district is a newly increased mean value district; in 2017, 45.9% of county reconstruction indexes are larger than the mean value, high-mean areas are distributed in the main urban area, the Yuxi district and the Yunortheast district, and the reconstruction strength of the main urban district is slightly increased.
③ referring to fig. 6, the spatial reconstruction state: the mean values of the spatial reconstruction indices over the 3 study periods were 0.193, 0.201, 0.219, respectively. In 2005, 48.6% of county reconstruction indexes were greater than the mean, the major counties of the Yuxi district were high-mean areas, and the rest were distributed in the main urban area and the Yunortheast district; in 2012, 54.0% of district county reconstruction indexes are larger than the mean value, the reconstruction pattern is not obviously changed, and the sandlevel dam area and the nine-dragon slope area of the main urban district are newly added high-value district counties; in 2017, 45.9% of county reconstruction indexes are larger than the mean value, high-mean areas are mainly distributed in Yuxi areas and Yunortheast areas, and only large crossing areas of the main urban area are high-value counties.
5) Referring to fig. 7, the coupling degree measurement uses a coupling degree model to calculate the economic-social-spatial reconstruction coupling degree of each time interval and draw a spatial distribution map. The result shows that the mean value of the coupling degree in 2005 is 0.86, the standard deviation is 0.058, the coefficient of variation is 0.068, and the district with higher coupling degree is located in the regions south and north of the main urban area and the Yuxi district; the mean value of the coupling degrees in 2012 is 0.89, the standard deviation is 0.063, the coefficient of variation is 0.071, the high-coupling-degree counties are in a concentrated connected-piece distribution situation, and the newly increased-value counties are scattered and distributed in the southeast, northeast and west areas of Yu; in 2017, the mean value of the coupling degrees is 0.89, the standard deviation is 0.073, and the coefficient of variation is 0.082, so that compared with 2012, the coupling degree of the Yuxi region is higher, the integral coupling degree of the east region is reduced, and the counties with low coupling degrees are reduced.
6) Referring to fig. 8, the coordination area measures that the coupling under low reconstruction strength and the coupling under high reconstruction strength cannot be distinguished due to the coupling degree, and measures the coordination degree of economic-social-spatial reconstruction by using a coordination degree model, and the results show that the mean values of the three time periods are 0.63, 0.67 and 0.68 respectively, which shows that the social-economic-spatial dimension reconstruction of Chongqing city is coordinated and the mean value is stably promoted during the year 2005-2017; in 2005, the co-scheduling mean value was 0.63, the standard deviation was 0.110, the coefficient of variation was 0.175, the higher coordination degree region was mainly distributed in the major urban area and the Yuxi district, the east district was poorly coordinated; in 2012, the mean value of the coordination degree is 0.67, the standard deviation is 0.119, the coefficient of variation is 0.177, the coordination degree is further graded, and a serious disorder region appears; in 2017, the mean value is 068, the standard deviation is 0.102, the coefficient of variation is 0.150, the overall coordination degree is increased, the western slice co-scheduling is high, and the eastern slice co-scheduling is low.
For the sake of brief description, the system provided by the embodiment of the present invention may refer to the corresponding content in the foregoing embodiments.
Example three:
a rural settlement space reconstruction service method based on RSSRI comprises the following steps:
establishing an evaluation index system based on social dimension, economic dimension and space dimension;
acquiring rural settlement data in a preset analysis time period;
constructing a rural settlement space reconstruction index, a coupling model and a coordination model;
transmitting the rural settlement data to a coupling model and a coordination model, and obtaining a rural settlement space reconstruction state according to output results of the coupling model and the coordination model; and selecting a corresponding strategy from a preset strategy library according to the reconstruction state of the rural settlement space, and outputting the strategy.
Preferably, the evaluation index system comprises a plurality of measure indexes and corresponding index weights;
the measure indexes comprise economic dimension evaluation indexes, social dimension evaluation indexes and space dimension evaluation indexes; the economic dimension evaluation indexes comprise urban fixed asset investment, agricultural labor productivity and income controllable by residents living in rural areas; the social dimension evaluation indexes comprise the urbanization rate and the rural population change rate; the spatial dimension evaluation indexes comprise the change rate of the farmland, the per capita housing area of the village and the population density of the village.
Preferably, the rural settlement data comprises:
analyzing the town population number, the total population number, the country population number and the land area of the research object in the time period; analyzing the population number of the final country, the population number of the initial country, the cultivated land area of the final country and the cultivated land area of the initial country in the time period; the investment amount of the fixed assets in cities and towns, the total output value of agriculture, forestry, animal husbandry and fishery, the total number of labor force of agriculture, forestry, animal husbandry and fishery, the dominant income of residents in rural areas and the per capita housing area of the rural areas of the research subjects.
For the sake of brief description, the method provided by the embodiment of the present invention may refer to the corresponding content in the foregoing embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; the modifications and the substitutions do not cause the essence of the corresponding technical solutions to depart from the scope of the technical solutions of the embodiments of the present invention, and the corresponding technical solutions are all covered in the claims and the specification of the present invention.

Claims (10)

1. An RSSRI-based rural community space reconfiguration service system, comprising:
an index construction unit: the evaluation index system is used for establishing an evaluation index system based on social dimension, economic dimension and space dimension;
a collecting unit: the method comprises the steps of acquiring rural settlement data in a preset analysis time period;
a model construction unit: the method is used for constructing a rural settlement space reconstruction index, a coupling model and a coordination model;
a policy output unit: the system comprises a coupling model, a coordination model, a rural settlement space reconstruction model and a remote monitoring system, wherein the coupling model and the coordination model are used for transmitting rural settlement data to the coupling model and the coordination model and obtaining a rural settlement space reconstruction state according to output results of the coupling model and the coordination model; and selecting a corresponding strategy from a preset strategy library according to the reconstruction state of the rural settlement space, and outputting the strategy.
2. The RSSRI-based rural colony space reconfiguration service system according to claim 1, wherein said evaluation index system comprises a plurality of measurement indexes and corresponding index weights;
the measure indexes comprise economic dimension evaluation indexes, social dimension evaluation indexes and space dimension evaluation indexes; the economic dimension evaluation indexes comprise urban fixed asset investment, agricultural labor productivity and income controllable by residents living in rural areas; the social dimension evaluation indexes comprise the urbanization rate and the rural population change rate; the spatial dimension evaluation indexes comprise the change rate of cultivated land, the per capita housing area of the country and the population density of the country.
3. The RSSRI-based rural community space reconstruction service system according to claim 2, wherein said rural community data comprises:
analyzing the town population number, the total population number, the country population number and the land area of the research object in the time period; analyzing the population number of the final country, the population number of the initial country, the cultivated land area of the final country and the cultivated land area of the initial country in the time period; the investment amount of fixed assets in cities and towns, the total output value of agriculture, forestry, animal husbandry and fishery, the total labor force of agriculture, forestry, animal husbandry and fishery, the dominant income of residents in rural areas and the per-capita housing area of the rural areas of the research subjects.
4. The RSSRI-based rural community space reconstruction service system according to claim 2, wherein the rural community space reconstruction index RSSRI is obtained by the following formula:
Figure FDA0003141667790000011
wherein S isiNormalized values for the ith measure index,
Figure FDA0003141667790000021
xiis the value of the ith measure index, xminIs the minimum value of the measure index, xmaxIs the maximum value of the measure index, wiAnd n is the number of the measure indexes.
5. The RSSRI-based rural community space reconfiguration service system according to claim 4, wherein said coupling model is as follows:
Figure FDA0003141667790000022
wherein, C is the coupling degree, rssri (e) is the sum of products of all measure indexes in the economic dimension evaluation index and corresponding index weights, rssri (so) is the sum of products of all measure indexes in the social dimension evaluation index and corresponding index weights, rssri (sp) is the sum of products of all measure indexes in the spatial dimension evaluation index and corresponding index weights;
the coordination model is as follows:
Figure FDA0003141667790000023
wherein D is co-scheduling.
6. The RSSRI-based rural community space reconfiguration service system according to claim 5, wherein said policy output unit is specifically configured to:
transmitting the village settlement data to the coupling model and the coordination model to obtain the coupling degree and the coordination degree corresponding to the village settlement data;
and inputting the coupling degree and the coordination degree into ArcGIS software to obtain the rural settlement space reconstruction state.
7. The RSSRI-based rural community space reconfiguration service system according to claim 2, wherein said policy output unit is specifically configured to:
and selecting a corresponding strategy from a preset strategy library according to the reconstruction state of the rural settlement space, and outputting the strategy.
8. A rural settlement space reconstruction service method based on RSSRI is characterized by comprising the following steps:
establishing an evaluation index system based on social dimension, economic dimension and space dimension;
acquiring rural settlement data in a preset analysis time period;
constructing a rural settlement space reconstruction index, a coupling model and a coordination model;
transmitting the village settlement data to a coupling model and a coordination model, and obtaining a village settlement space reconstruction state according to output results of the coupling model and the coordination model; and selecting a corresponding strategy from a preset strategy library according to the reconstruction state of the rural settlement space, and outputting the strategy.
9. The RSSRI-based rural colony space reconfiguration service method according to claim 8, wherein said evaluation index system comprises a plurality of measurement indexes and corresponding index weights;
the measure indexes comprise economic dimension evaluation indexes, social dimension evaluation indexes and space dimension evaluation indexes; the economic dimension evaluation indexes comprise urban fixed asset investment, agricultural labor productivity and income controllable by residents living in rural areas; the social dimension evaluation indexes comprise the urbanization rate and the rural population change rate; the spatial dimension evaluation indexes comprise the change rate of cultivated land, the per capita housing area of the country and the population density of the country.
10. The RSSRI-based rural community space reconstruction service method of claim 8, wherein said rural community data comprises:
analyzing the town population number, the total population number, the country population number and the land area of the research object in the time period; analyzing the population number of the final country, the population number of the initial country, the cultivated land area of the final country and the cultivated land area of the initial country in the time period; the investment amount of fixed assets in cities and towns, the total output value of agriculture, forestry, animal husbandry and fishery, the total labor force of agriculture, forestry, animal husbandry and fishery, the dominant income of residents in rural areas and the per-capita housing area of the rural areas of the research subjects.
CN202110741912.4A 2021-06-30 2021-06-30 Rural settlement space reconstruction service system and method based on RSSRI Pending CN113379310A (en)

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