Three-generation space coupling coordination degree evaluation method, device, equipment, medium and product

Abstract

The invention discloses a method, a device, equipment, a medium and a product for evaluating a three-generation space coupling coordination degree. The method comprises the following steps of: obtaining an evaluation index of a rural three-generation space function coupling coordination degree; the three-life space function comprises a production space function, a living space function and an ecological space function which are mainly used for rural tourism; comprehensively calculating the index weight of each evaluation index by adopting a target analytic hierarchy process and an entropy evaluation method; according to each evaluation index and the index weight thereof, respectively calculating comprehensive evaluation values of a production space function, a life space function and an ecological space function which are dominated by rural tourism; and substituting the comprehensive evaluation value into a preset coupling coordination degree calculation model, and calculating to obtain the rural tourism-based three-student space coupling coordination degree. According to the method, the three-student space function coupling coordination degree evaluation which is oriented to a single administrative village and takes rural tourism as production space function evaluation can be realized, and the coordinated development of the rural three-student space function can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of land space planning, and in particular to an evaluation method, device, equipment, medium and product for the coupling and coordination degree of production-living-ecological spaces based on rural tourism. Background Art

[0002] Rural space is composed of production space, living space and ecological space (hereinafter referred to as "production-living-ecological" spaces). With the in-depth promotion of "four modernizations", the exchange of material flow, information flow and energy flow between urban and rural areas brought about by the self-change of rural elements and external regulation is more frequent, which further leads to the increasingly sharp and profound contradictions among population, resources and environment in rural space. Evaluating the coupling and coordination degree of each functional module of the rural "production-living-ecological" spaces in a certain geographical area is an important basis for clarifying its construction and development quality, coordinating the development needs of multiple rural interest subjects and the contradiction between the resource allocation of rural "production-living-ecological" spaces, and realizing the coordinated development of the functions of rural "production-living-ecological" spaces.

[0003] With the continuous development of rural tourism, the rural tourism function needs to be considered emphatically in the evaluation of the coupling and coordination degree of the functions of rural "production-living-ecological" spaces. However, the inventor found that the existing technology has at least the following problems: in the selection of production function module indicators in the existing technology, most of them are indicators reflecting agricultural production, lacking an index system and evaluation method that focus on starting from the rural tourism function and analyzing the coupling and coordinated development quality of tourism hot industries and other space functions. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide an evaluation method, device, equipment, medium and product for the coupling and coordination degree of production-living-ecological spaces based on rural tourism, which can realize the evaluation of the coupling and coordination degree of the functions of "production-living-ecological" spaces with rural tourism as the evaluation of the production space function for a single administrative village, and is conducive to realizing the coordinated development of the functions of rural "production-living-ecological" spaces.

[0005] To achieve the above purpose, the embodiments of the present invention provide an evaluation method for the coupling and coordination degree of production-living-ecological spaces based on rural tourism, including:

[0006] Obtain the evaluation indicators for the coupling and coordination degree of the functions of production-living-ecological spaces in a rural area; wherein, the functions of production-living-ecological spaces include a production space function mainly based on rural tourism, a living space function and an ecological space function;

[0007] Calculate the first sub-weight of each evaluation indicator by using the target analytic hierarchy process, calculate the second sub-weight of each evaluation indicator by using the entropy method, and comprehensively calculate the index weight of each evaluation indicator according to the first sub-weight and the second sub-weight;

[0008] According to each of the evaluation indicators and their indicator weights, calculate the comprehensive evaluation values of the production space function, the living space function, and the ecological space function mainly based on rural tourism respectively;

[0009] Substitute the comprehensive evaluation values into a preset coupling coordination degree calculation model to calculate the coupling coordination degree of the three rural spaces based on rural tourism.

[0010] As an improvement to the above solution, the evaluation indicators for obtaining the coupling coordination degree of the three rural space functions include:

[0011] Construct an evaluation index system for the coupling coordination degree of the three rural space functions; among them, the evaluation index system includes first-level indicators and second-level indicators related to the production space function, the living space function, and the ecological space function mainly based on rural tourism respectively;

[0012] Obtain the second-level indicators in the evaluation index system as the evaluation indicators.

[0013] As an improvement to the above solution, the calculation of the first sub-weight of each evaluation indicator by using the target analytic hierarchy process includes:

[0014] Establish a "goal layer - evaluation layer - factor layer" hierarchical structure model; among them, the goal layer includes the production space function, the living space function, and the ecological space function mainly based on rural tourism; the evaluation layer includes the first-level indicators corresponding to each space function; the factor layer includes the second-level indicators corresponding to each first-level indicator;

[0015] Taking the evaluation layer as the reference, compare the relative impacts of the second-level indicators in the factor layer on the evaluation layer pairwise to obtain the relative importance comparison scores, so as to construct a relative importance judgment matrix;

[0016] Calculate the geometric mean of each row of each relative importance judgment matrix;

[0017] Normalize each geometric mean of the row to obtain the weight values of each evaluation indicator in the relative importance judgment matrix;

[0018] According to the weight values of each evaluation indicator in the relative importance judgment matrix, obtain the first sub-weight of each evaluation indicator.

[0019] As an improvement to the above solution, the calculation of the geometric mean of each row of each relative importance judgment matrix includes:

[0020] Adopt the following calculation formula to calculate the geometric mean of each row of each relative importance judgment matrix:

[0021]

[0022] Normalizing the geometric mean of each row to obtain the weight value of each evaluation index in the relative importance judgment matrix as the first sub-weight, including:

[0023] Using the following calculation formula to normalize the geometric mean of each row to obtain the weight value of each evaluation index in the relative importance judgment matrix:

[0024]

[0025] where i is the matrix row number, j is the evaluation index number, i = 1, 2,..., n; j = 1, 2,..., n, and n is the number of evaluation indexes in the relative importance judgment matrix; a ij is the jth relative importance comparison score of the ith row.

[0026] As an improvement to the above solution, calculating the second sub-weight of each evaluation index by using the entropy value method includes:

[0027] Calculating the proportion of each evaluation index;

[0028] Calculating the index entropy value of each evaluation index according to the proportion of the index;

[0029] Calculating the weight of each evaluation index according to the index entropy value as the second sub-weight;

[0030] Then, comprehensively calculating the index weight of each evaluation index according to the first sub-weight and the second sub-weight includes:

[0031] Calculating the index weight of each evaluation index according to the first sub-weight, the second sub-weight, and the preset weight distribution ratio.

[0032] As an improvement to the above solution, the preset coupling coordination degree calculation model is:

[0033]

[0034] where D is the coupling coordination degree of the production-living-ecological space based on rural tourism, C is the coupling degree of the production-living-ecological space based on rural tourism, and P, R, and E are the comprehensive evaluation values of the production space function, living space function, and ecological space function mainly based on rural tourism, and β and γ are the undetermined coefficients of the production space function, living space function, and ecological space function mainly based on rural tourism.

[0035] An embodiment of the present invention further provides an evaluation device for the coupling and coordination degree of the three-functional spaces based on rural tourism, including:

[0036] An evaluation index acquisition module, configured to acquire the evaluation indexes of the coupling and coordination degree of the three-functional spaces in a rural area; wherein, the three-functional spaces include a production space function mainly based on rural tourism, a living space function, and an ecological space function;

[0037] An index weight calculation module, configured to calculate the first sub-weight of each evaluation index by using the target analytic hierarchy process, calculate the second sub-weight of each evaluation index by using the entropy method, and comprehensively calculate the index weight of each evaluation index according to the first sub-weight and the second sub-weight;

[0038] A comprehensive evaluation value calculation module, configured to calculate the comprehensive evaluation values of the production space function mainly based on rural tourism, the living space function, and the ecological space function respectively according to each evaluation index and its index weight;

[0039] A coupling and coordination degree calculation module, configured to substitute the comprehensive evaluation value into a preset coupling and coordination degree calculation model to calculate the coupling and coordination degree of the three-functional spaces based on rural tourism.

[0040] An embodiment of the present invention further provides an evaluation device for the coupling and coordination degree of the three-functional spaces based on rural tourism, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the evaluation method for the coupling and coordination degree of the three-functional spaces based on rural tourism as described in any one of the above.

[0041] An embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute the evaluation method for the coupling and coordination degree of the three-functional spaces based on rural tourism as described in any one of the above.

[0042] An embodiment of the present invention further provides a computer program product, which includes a computer program or computer instructions. When the computer program or the computer instructions are executed by a processor, they implement the evaluation method for the coupling and coordination degree of the three-functional spaces based on rural tourism as described in any one of the above.

[0043] Compared with the prior art, the method, device, equipment, medium and product for evaluating the coupling and coordination degree of the three-functional spaces based on rural tourism disclosed by the present invention obtain the evaluation indexes of the coupling and coordination degree of the "three-functional" space functions with rural tourism as the evaluation of the production space function for a single administrative village, determine the index weights by using the subjective and objective combination method of the target analytic hierarchy process and the entropy method, calculate the above data by using the coupling and coordination degree model, and obtain the coupling and coordination degree of the "three-functional" space functions of the administrative village facing rural tourism, so as to clarify the health degree of the interaction relationship between the "three-functional" space functions of each village, and provide new research ideas and quantitative analysis technical support for realizing the coordinated development of the "three-functional" space functions in rural areas and further optimizing the "three-functional" space in rural areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 FIG. is a schematic flowchart of a method for evaluating the coupling and coordination degree of the three-functional spaces based on rural tourism provided by an embodiment of the present invention;

[0045] Figure 2 FIG. is a schematic hierarchical structure diagram of the rural production space function in an embodiment of the present invention;

[0046] Figure 3 FIG. is a schematic hierarchical structure diagram of the rural living space function in an embodiment of the present invention;

[0047] Figure 4 FIG. is a schematic hierarchical structure diagram of the rural ecological space function in an embodiment of the present invention;

[0048] Figure 5 FIG. is a schematic structural diagram of a device for evaluating the coupling and coordination degree of the three-functional spaces based on rural tourism provided by an embodiment of the present invention;

[0049] Figure 6 FIG. is a schematic structural diagram of a device for evaluating the coupling and coordination degree of the three-functional spaces based on rural tourism provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0050] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0051] In the description of the present application, it should be understood that the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present application.

[0052] The terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0053] In the description of the present application, it should be noted that unless otherwise clearly specified and defined, the terms "installed", "connected", and "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0054] See Figure 1 , which is a schematic flow chart of a method for evaluating the coupling coordination degree of the three-living spaces based on rural tourism provided by an embodiment of the present invention. An embodiment of the present invention provides a method for evaluating the coupling coordination degree of the three-living spaces based on rural tourism, including steps S11 to S14:

[0055] S11. Obtain the evaluation indicators of the coupling coordination degree of the three-living space functions in the countryside; wherein, the three-living space functions include the production space function, the living space function, and the ecological space function mainly based on rural tourism;

[0056] S12. Calculate the first sub-weight of each evaluation indicator by using the target hierarchical analysis method, calculate the second sub-weight of each evaluation indicator by using the entropy value method, and comprehensively calculate the index weight of each evaluation indicator according to the first sub-weight and the second sub-weight;

[0057] S13. Calculate the comprehensive evaluation values of the production space function, the living space function, and the ecological space function mainly based on rural tourism respectively according to each evaluation indicator and its index weight;

[0058] S14. Substitute the comprehensive evaluation value into a preset coupling coordination degree calculation model to calculate the coupling coordination degree of the production-living-ecological space based on rural tourism.

[0059] In order to solve the problems in the evaluation process of the coupling coordination degree of the production-living-ecological space in the prior art, which are mostly based on the provincial and municipal levels, and the smallest statistical object is the "town" for analysis, resulting in insufficient accuracy of the spatial unit and difficulty in observing the differences within the town area, and in the selection of indicators for the production function module, most of the indicators reflect mainly agricultural production, lacking an index system that focuses on the rural tourism function and analyzes the coupling and coordinated development quality of tourism hot industries and other spatial functions, resulting in low accuracy and insufficient pertinence in the evaluation of the coupling coordination degree of the production-living-ecological space. The embodiments of the present invention construct an evaluation index system for the coupling coordination degree of the production-living-ecological space that faces a single administrative village and takes rural tourism as the evaluation of the production space function to achieve the evaluation of the coupling coordination degree of the "production-living-ecological" space of the administrative village facing rural tourism.

[0060] Specifically, first, data collection is carried out to obtain the evaluation indicators for the coupling coordination degree of the production-living-ecological space function based on the production space function, living space function, and ecological space function of rural tourism in the administrative village. Since it is difficult to obtain statistical data based on administrative villages, the main sources of index data are big data that can be obtained from the Internet, land status, and planning-related data. Taking rural tourism as the main body of the production space function, an index system is constructed starting from the rationality and comprehensiveness of the index evaluation content and the data availability for the three spatial function modules of rural tourism, living, and ecology. Among them, the rural production function indicators mainly based on rural tourism are reflected in economic effects, tourism construction, historical and cultural protection and utilization, etc.; the rural living space function indicators are reflected in housing supply, public services, etc.; the rural ecological function indicators are reflected in green space, environmental governance, etc.

[0061] Furthermore, in order to solve the problem in the prior art that a single weight assignment method is mostly used in index weight assignment, resulting in insufficient reflection of the evaluation effect aiming at the coordinated development of the rural tourism industry and the living and ecological spaces in the evaluation process, the embodiments of the present invention first use the analytic hierarchy process for goals to calculate the first sub-weight of each evaluation index, and then use the entropy method to calculate the second sub-weight of each evaluation index, and then comprehensively calculate the index weight of each evaluation index according to the first sub-weight and the second sub-weight.

[0062] Finally, according to each evaluation index and its index weight, using the calculation method of weighted summation, calculate the comprehensive evaluation values of the production space function mainly based on rural tourism, the living space function, and the ecological space function respectively. Substitute the comprehensive evaluation value into a preset coupling coordination degree calculation model to calculate the coupling coordination degree of the production-living-ecological space based on rural tourism.

[0063] By adopting the technical means of the embodiments of the present invention, evaluation indexes for the coupling coordination degree of the "production-living-ecological" space functions are obtained for a single administrative village with rural tourism as the production space function evaluation. By using the subjective and objective combined method of the target analytic hierarchy process and the entropy method to determine the index weights, the above data are calculated by using the coupling coordination degree model to obtain the coupling coordination degree of the "production-living-ecological" space functions of the administrative village for rural tourism, so as to clarify the health degree of the interaction relationship between the "production-living-ecological" space functions of each village, and provide new research ideas and quantitative analysis technical support for realizing the coordinated development of the "production-living-ecological" space functions in rural areas and further optimizing the "production-living-ecological" space in rural areas.

[0064] As a preferred implementation manner, the embodiments of the present invention are further implemented on the basis of the above embodiments. Step S11, that is, the step of obtaining the evaluation indexes for the coupling coordination degree of the "production-living-ecological" space functions in rural areas, includes steps S111 and S112:

[0065] S111. Construct an evaluation index system for the coupling coordination degree of the "production-living-ecological" space functions in rural areas; wherein, the evaluation index system includes first-level indexes and second-level indexes respectively related to the production space function mainly based on rural tourism, the living space function, and the ecological space function;

[0066] S112. Obtain the second-level indexes in the evaluation index system as the evaluation indexes.

[0067] In the embodiments of the present invention, taking rural tourism as the main body of the production space function, aiming at the three space function modules of rural tourism, living, and ecology, starting from the rationality and comprehensiveness of the index evaluation content and the data availability, an index system of 19 factors is constructed, among which the production space function module mainly based on rural tourism corresponds to 8 factors, the rural living space function module corresponds to 5 factors, and the rural ecological space function module corresponds to 6 factors.

[0068] Preferably, the first-level indexes of the production space function mainly based on rural tourism include economic effect indexes, tourism construction indexes, and historical culture protection and utilization indexes. Among them, the second-level indexes of the economic effect indexes include collective economic income, per capita income of villagers, and the number of tourism enterprises; the second-level indexes of the tourism construction indexes include the number of tourism service facilities, the number of tourist attractions, and the number of A-level scenic spots; the second-level indexes of the historical culture protection and utilization indexes include the number of historical buildings and cultural relic protection units, and the area of historical feature areas.

[0069] The first-level indexes of the living space function include housing supply indexes and public service indexes. Among them, the second-level indexes of the housing supply indexes include the per capita housing construction area, and the second-level indexes of the public service indexes include the number of public service facilities, the connectivity of main roads, the per capita urban and rural road land area, and the per capita park green space area.

[0070] The first-level indicators of the ecological space function include green space indicators and environmental governance indicators. Among them, the second-level indicators of the green space indicators include forest land area, orchard area, the proportion of the ecological protection red line in the village area, and the proportion of construction land in the ecological protection red line. The second-level indicators of the environmental governance indicators include main rivers, water quality of ponds, and the harmless treatment rate of domestic waste.

[0071] Specifically, the evaluation index system of the coupling coordination degree of the three-functional spaces in rural areas is shown in Table 1:

[0072] Table 1

[0073]

[0074]

[0075]

[0076] By adopting the technical means of the embodiments of the present invention and constructing an evaluation index system of the coupling coordination degree of the "production-living-ecological" space functions for a single administrative village with rural tourism as the evaluation of the production space function, it is beneficial to start from the rural tourism function, focus on analyzing the coupling and coordinated development quality of the tourism hot industries and other space functions, and is conducive to realizing the coordinated development of the "production-living-ecological" space functions for rural tourism.

[0077] As a preferred implementation manner, in step S11, that is, after obtaining the evaluation index of the coupling coordination degree of the "production-living-ecological" space functions, the method further includes:

[0078] Using the deviation standardization method to perform index value standardization processing on each of the evaluation indexes to obtain the standardized evaluation indexes.

[0079] Specifically, in the embodiments of the present invention, the deviation standardization method is used for index value standardization, that is, a linear transformation of the original data is performed to make the result fall within the interval [0, 1]. To avoid worthless values after standardization, 0.001 is uniformly added to the data. The calculation formula for standardization processing is as follows:

[0080]

[0081] Among them, U lk is the standardized value after processing the evaluation index, X lk is the actual value of the kth evaluation index in the lth year, minX lk is the minimum value of the kth index in the lth year, maxX lk is the maximum value of the kth index in the lth year, where l takes 1, 2,..., m; k takes 1, 2,..., r. m is the number of years, and r is the number of evaluation indexes.

[0082] As a preferred embodiment, the embodiment of the present invention is further implemented on the basis of the above embodiment. In step S12, calculating the first sub-weight of each of the evaluation indicators by using the target analytic hierarchy process includes steps S121 to S125:

[0083] S121. Establish a "target layer - evaluation layer - factor layer" hierarchical structure model; wherein, the target layer includes the production space function mainly based on rural tourism, the living space function, and the ecological space function; the evaluation layer includes the first-level indicators corresponding to each space function; the factor layer includes the second-level indicators corresponding to each first-level indicator;

[0084] S122. Taking the evaluation layer as a benchmark, compare the relative impacts of the second-level indicators in the factor layer pairwise to obtain the relative importance comparison scores, so as to construct a relative importance judgment matrix;

[0085] S123. Calculate the geometric mean of each row of each relative importance judgment matrix;

[0086] S124. Normalize each geometric mean of the row to obtain the weight values of the respective evaluation indicators in the relative importance judgment matrix;

[0087] S125. Obtain the first sub-weight of each evaluation indicator according to the weight values of the respective evaluation indicators in the relative importance judgment matrix.

[0088] In the embodiment of the present invention, refer to Figures 2 to 4 , Figure 2 is the schematic diagram of the hierarchical structure of the rural production space function in the embodiment of the present invention, Figure 3 is the schematic diagram of the hierarchical structure of the rural living space function in the embodiment of the present invention, Figure 4 is the schematic diagram of the hierarchical structure of the rural ecological space function in the embodiment of the present invention. Establish a "target layer - evaluation layer - factor layer" hierarchical structure model, wherein the target layer is the rural tourism space function, the rural living space function, and the rural ecological space function, the comprehensive evaluation layer is the economic effect, tourism construction, historical and cultural protection and utilization, housing supply, public services, green space, and environmental governance, and the factor layer includes 19 factors. Draw a hierarchical structure diagram to form different evaluation index levels.

[0089] Construct the target matrix model: The judgment matrix quantitatively analyzes the correlation relationship between the indicators in the comprehensive evaluation layer. The strength of the correlation relationship between evaluation factors reflects the degree of mutual influence between the two. In the spatial function of rural tourism, the economic effect of rural tourism is the result, which is based on tourism construction and the protection and utilization of historical culture. The protection and utilization of historical culture is the prerequisite. In the spatial function of rural life, the housing supply points to the residential function, which is the basis of rural life, and public services are the extension of the residential function. In the spatial function of rural ecology, environmental governance is the basis for maintaining a good ecological base state, and green space is the improvement of the overall environment. Facing the overall goal of the coordinated development of rural tourism, life and ecological functions, a judgment method with increasing functional importance of "prerequisite - foundation - extension - improvement" is constructed. Taking the A target layer as the criterion, the relative influence of the comprehensive evaluation layer indicator B on it is compared pairwise to obtain the relative importance judgment matrix, and the comparison results are expressed by the "1-9 scale method", listing the mutual relationships of each level of scale.

[0090] The scales and meanings of the "1-9 scale method" matrix judgment are shown in Table 2 as follows:

[0091] Table 2

[0092] Scale (Score) Meaning 1 Indicates that the two factors are equally important 3 Indicates that compared with the two factors, the former factor is slightly more important than the latter factor 5 Indicates that compared with the two factors, the former factor is more important than the latter factor 7 Indicates that compared with the two factors, the former factor is significantly more important than the latter factor 9 Indicates that compared with the two factors, the former factor is absolutely more important than the latter factor 2、4、6、8 Median of two adjacent importance levels

[0093] First, judge the importance of the B factor layer, and then judge the importance of the C factor layer. Taking the evaluation of the spatial function of rural tourism as an example.

[0094] The judgment matrix of the spatial function evaluation B1 - B3 of rural tourism is shown in Table 3 as follows:

[0095] Table 3

[0096]

[0097] The judgment matrix of B1 economic effect C1 - C3 is shown in Table 4 as follows:

[0098] Table 4

[0099] B1 Economic Effect Evaluation C1 Collective Economic Income C2 Per Capita Income of Villagers C3 Number of Tourism Enterprises C1 Collective Economic Income 1.0 1.5 1.2 C2 Per Capita Income of Villagers 0.7 1.0 1.3 C3 Number of Tourism Enterprises 0.8 0.8 1.0

[0100] The judgment matrix of B2 tourism construction C4 - C6 is shown in Table 5 as follows:

[0101] Table 5

[0102] B2 Tourism Construction Evaluation C4 Number of Tourism Service Facilities C5 Number of Tourist Attractions C6 Number of A-level Scenic Spots C4 Number of Tourism Service Facilities 1.0 0.7 0.5 C5 Number of Tourist Attractions 1.5 1.0 0.8 C6 Number of A-level Scenic Spots 2.0 1.4 1.0

[0103] The judgment matrix of B3 historical culture protection and utilization C7 - C8 is shown in Table 6 as follows:

[0104] Table 6

[0105] B3 Evaluation of Historical and Cultural Protection and Utilization C7 Number of Historical Buildings and Cultural Relics Protection Units C8 Area of Historical Scenic Areas C7 Number of Historical Buildings and Cultural Relics Protection Units 1.0 2.0 C8 Area of Historical Scenic Areas 0.5 1.0

[0106] Understandably, the above relative importance comparison scores are only for example. In the actual application process, the relative importance comparison scores between the first-level indicators under each second-level indicator of the rural tourism production space function, rural living space function, and ecological space function can be calculated according to the actual situation, and no specific limitation is made here.

[0107] Furthermore, the following calculation formula is used to calculate the geometric mean of each row of each of the relative importance judgment matrices:

[0108]

[0109] The following calculation formula is used to normalize each of the geometric means of the rows to obtain the weight values of the respective evaluation indicators in the relative importance judgment matrix:

[0110]

[0111] where i is the matrix row number, j is the evaluation indicator serial number, i = 1, 2, …, n; j = 1, 2, …, n, and n is the number of evaluation indicators in the relative importance judgment matrix; a ij is the jth relative importance comparison score of the ith row.

[0112] Finally, according to the weight values of the respective evaluation indicators in the relative importance judgment matrix, the first sub-weights of each of the evaluation indicators are obtained.

[0113] Taking the relative importance judgment matrix in Table 4 as an example, the geometric means of each row are calculated as follows:

[0114]

[0115] After normalizing each geometric mean of the row, the weight values of C1 collective economic income, C2 per capita income of villagers, and C3 number of tourism enterprises are obtained as follows:

[0116] w 1 = 0.399;

[0117] w 2 = 0.318;

[0118] w 3 = 0.283;

[0119] And so on, the weight values of each second-level indicator are calculated. Finally, according to the weight values of each second-level indicator in the relative importance judgment matrix, the first sub-weights of each of the evaluation indicators are obtained.

[0120] As a preferred embodiment, in step S12, calculating the second sub-weight of each of the evaluation indicators by using the entropy value method includes steps S126 to S128:

[0121] S126. Calculate the proportion of each evaluation indicator;

[0122] Specifically, use the following calculation formula to calculate the proportion of each evaluation indicator:

[0123]

[0124] S127. Calculate the index entropy value of each evaluation indicator according to the proportion of the indicator;

[0125] Specifically, use the following calculation formula to calculate the index entropy value of each evaluation indicator according to the proportion of the indicator:

[0126]

[0127] S128. Calculate the weight of each evaluation indicator according to the index entropy value as the second sub-weight;

[0128] Specifically, use the following calculation formula to calculate the weight of each evaluation indicator according to the index entropy value as the second sub-weight:

[0129]

[0130] where S lk is the proportion of the index of the k-th evaluation indicator in the l-th year, and e k is the index entropy value of the k-th evaluation indicator, l takes 1, 2…, m, m is the time serial number, and k takes 1, 2…, r, r is the index serial number.

[0131] Then in step S12, calculating the index weight of each evaluation indicator by comprehensively calculating the first sub-weight and the second sub-weight includes step S129:

[0132] S129. Calculate the index weight of each evaluation indicator according to the first sub-weight, the second sub-weight and the preset weight distribution ratio.

[0133] The calculation formula of the index weight of each evaluation indicator is as follows:

[0134] W k = aW k1 + bW k2 ;

[0135] where a and b are the preset weight distribution ratios, a + b = 1; W k1is the first sub-weight.

[0136] Optionally, a = b = 0.5.

[0137] That is, the weight values of the target analytic hierarchy process and the entropy method are in a ratio of 5:5. Substitute the weights of the 19 indicators into the calculation formula of (W k1 +W k2 ) / 2) to calculate the comprehensive weights of each evaluation indicator.

[0138] By adopting the technical means of the embodiments of the present invention, a method combining subjective and objective aspects of "target analytic hierarchy process + entropy method" is used to determine the index weights. The target analytic hierarchy process faces the overall goal of the coordinated development of rural tourism and living and ecological functions, constructs a judgment method with the functional importance increasing successively as "premise - foundation - extension - improvement", which is more directed at the goal of the coordinated development of rural tourism and living and ecological spaces, is conducive to starting from the rural tourism function, focusing on analyzing the quality of the coupled and coordinated development of tourism hot industries and other spatial functions, and is conducive to realizing the coordinated development of the three - functional spaces of rural tourism.

[0139] As a preferred implementation manner, the embodiments of the present invention are further implemented on the basis of the above - mentioned embodiments. Step S13, that is, according to each of the evaluation indicators and their indicator weights, calculate the comprehensive evaluation values of the production space function mainly based on rural tourism, the living space function, and the ecological space function, including:

[0140] According to the secondary indicators and their indicator weights under the production space function mainly based on rural tourism, calculate the comprehensive evaluation value P of the production space function mainly based on rural tourism:

[0141]

[0142] According to the secondary indicators and their indicator weights under the living space function of the rural area, calculate the comprehensive evaluation value R of the living space function of the rural area:

[0143]

[0144] According to the secondary indicators and their indicator weights under the ecological space function of the rural area, calculate the comprehensive evaluation value R of the ecological space function of the rural area:

[0145]

[0146] Among them, U k and W k are respectively the secondary indicators and their indicator weights under each spatial function, r 1 is the number of secondary indicators under the production space function mainly based on rural tourism, r 2 is the number of secondary indicators under the living space function of the rural area, r3 The number of secondary indicators for the ecological space function in rural areas.

[0147] As a preferred implementation manner, the preset coupling coordination degree calculation model is:

[0148]

[0149] Where D is the coupling coordination degree of the production-living-ecological spaces based on rural tourism, C is the coupling degree of the production-living-ecological spaces based on rural tourism, and P, R, and E are the comprehensive evaluation values of the production space function, living space function, and ecological space function mainly based on rural tourism, respectively. β and γ are the undetermined coefficients of the production space function, living space function, and ecological space function mainly based on rural tourism, respectively.

[0150] That is, according to the coupling coordination degree evaluation index system, taking a certain geographical range and a certain number of administrative villages as the evaluation objects, collecting data, calculating the values of each index, after standardizing the indexes, multiplying them by the weight values, substituting them into the above coupling coordination degree model, and measuring the coupling coordination degree values of each village. This value is between 0 and 1.

[0151] According to the result values, 10 types of coupling coordination degree types are divided. The administrative villages of extremely uncoordinated, severely uncoordinated, and moderately uncoordinated types are the objects that need to be focused on in tourism development to solve the contradictions of the "production-living-ecological" space functions; the administrative villages of slightly uncoordinated, nearly uncoordinated, and barely coordinated types are the villages that need to be appropriately concerned and further refined in management in tourism development; the administrative villages of initially coordinated and moderately coordinated types are the villages that need to be optimized and improved in tourism development; the administrative villages of well-coordinated and highly coordinated types are the villages that need to continue to maintain, summarize experience and promote.

[0152] The evaluation results of the coupling coordination degree of the "production-living-ecological" space functions of rural tourism, living, and ecology are divided as shown in Table 7:

[0153] Table 7

[0154] Quality Grade Coupling Coordination Degree D Coupling Coordination Degree Type 1 [0,0.09] Extremely Imbalanced 2 [0.1,0.19] Seriously Imbalanced 3 [0.2,0.29] Moderately Imbalanced 4 [0.3,0.39] Slightly Imbalanced 5 [0.4,0.49] Nearly Imbalanced 6 [0.5,0.59] Barely Coordinated 7 [0.6,0.69] Primarily Coordinated 8 [0.7,0.79] Intermediately Coordinated 9 [0.8,0.89] Well Coordinated 10 [0.9,1] High-quality Coordinated

[0155] By adopting the technical means of the embodiments of the present invention, it emphasizes taking a single village as the statistical target, with a smaller observed target geographical range, more refined spatial division of conclusions, and more accurate search for problem areas. At the same time, when selecting indicators, it fully considers open data such as networks, national land space natural resources, and data that can be obtained from relevant industries, making the evaluation of the coupling and coordination degree of the "production-living-ecological" space of a single village more operable. The construction of the indicator system starts from the perspective of the rural tourism industry, breaking through the previous perspective of rural agriculture, and is more in line with the goal of promoting the integrated development of the primary, secondary, and tertiary industries in rural revitalization. Moreover, the method of combining subjective and objective "target hierarchy analysis method + entropy method" is used to determine the indicator weights, which more points to the goal of the coordinated development of rural tourism and living and ecological spaces. The present invention can realize the evaluation of the coupling and coordination degree of the "production-living-ecological" space functions with rural tourism as the production space function evaluation for a single administrative village, which is conducive to realizing the coordinated development of the "production-living-ecological" space functions in rural areas.

[0156] See Figure 5 , which is a schematic structural diagram of an evaluation device for the coupling and coordination degree of the production-living-ecological space based on rural tourism provided by the embodiments of the present invention. The embodiments of the present invention provide an evaluation device 20 for the coupling and coordination degree of the production-living-ecological space based on rural tourism, including:

[0157] An evaluation index acquisition module 21, configured to acquire evaluation indexes for the coupling and coordination degree of the production-living-ecological space functions of a rural area; wherein, the production-living-ecological space functions include a production space function mainly based on rural tourism, a living space function, and an ecological space function;

[0158] An index weight calculation module 22, configured to calculate the first sub-weight of each evaluation index by using the target hierarchy analysis method, calculate the second sub-weight of each evaluation index by using the entropy method, and comprehensively calculate the index weight of each evaluation index according to the first sub-weight and the second sub-weight;

[0159] A comprehensive evaluation value calculation module 23, configured to calculate the comprehensive evaluation values of the production space function mainly based on rural tourism, the living space function, and the ecological space function respectively according to each evaluation index and its index weight;

[0160] A coupling and coordination degree calculation module 24, configured to substitute the comprehensive evaluation value into a preset coupling and coordination degree calculation model to calculate the coupling and coordination degree of the production-living-ecological space based on rural tourism.

[0161] It should be noted that an evaluation device for the coupling and coordination degree of the production-living-ecological space based on rural tourism provided by the embodiments of the present invention is used to execute all the process steps of an evaluation method for the coupling and coordination degree of the production-living-ecological space based on rural tourism in the above embodiments. Their working principles and beneficial effects correspond one by one, so they will not be elaborated here.

[0162] See Figure 6, which is a schematic structural diagram of an evaluation device for the coupling and coordination degree of the three-living spaces based on rural tourism provided by an embodiment of the present invention. The embodiment of the present invention also provides an evaluation device 30 for the coupling and coordination degree of the three-living spaces based on rural tourism, including a processor 31, a memory 32, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the evaluation method for the coupling and coordination degree of the three-living spaces based on rural tourism as described in any one of the above embodiments.

[0163] The embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute the evaluation method for the coupling and coordination degree of the three-living spaces based on rural tourism as described in any one of the above embodiments.

[0164] The embodiment of the present invention also provides a computer program product, which includes a computer program or computer instructions. When the computer program or the computer instructions are executed by a processor, they implement the evaluation method for the coupling and coordination degree of the three-living spaces based on rural tourism as described in any one of the above embodiments.

[0165] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0166] The above is the preferred implementation manner of the present invention. It should be noted that for those of ordinary skill in the art in the technical field, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present invention.

Claims

1. A method for evaluating the degree of coordination of three-life space coupling, characterized in that: include: Obtaining evaluation indicators of the coupling coordination degree of the three spatial functions of rural life; wherein the three spatial functions of life include production space function, living space function and ecological space function mainly based on rural tourism; The first sub-weight of each evaluation indicator is calculated by using the target hierarchy analysis method, the second sub-weight of each evaluation indicator is calculated by using the entropy method, and the indicator weight of each evaluation indicator is comprehensively calculated based on the first sub-weight and the second sub-weight; According to each of the evaluation indicators and their indicator weights, respectively calculate the comprehensive evaluation values ​​of the production space function mainly based on rural tourism, the living space function and the ecological space function; The comprehensive evaluation value is substituted into a preset coupling coordination degree calculation model to calculate the coupling coordination degree of the three-life space based on rural tourism.

2. The method for evaluating the degree of coordination of three-life space coupling as claimed in claim 1, characterized in that: The evaluation indicators for obtaining the coupling coordination degree of the three-life spatial functions of the village include: Construct an evaluation index system for the coupling coordination degree of the three spatial functions of the village; wherein the evaluation index system includes primary and secondary indicators related to the production space function mainly based on rural tourism, the living space function and the ecological space function; The secondary indicator in the evaluation indicator system is obtained as the evaluation indicator.

3. The method for evaluating the degree of coordination of three-life space coupling as claimed in claim 2, characterized in that: The method of using the target hierarchical analysis method to calculate the first sub-weight of each evaluation indicator includes: Establish a hierarchical structure model of "target layer-evaluation layer-factor layer"; wherein the target layer includes the production space function mainly based on rural tourism, the living space function and the ecological space function; the evaluation layer includes the primary indicators corresponding to each space function; the factor layer includes the secondary indicators corresponding to each of the primary indicators; Taking the evaluation layer as a benchmark, the relative influence of the secondary indicators of the factor layer on the evaluation layer is compared in pairs to obtain relative importance comparison scores, so as to construct a relative importance judgment matrix; Calculating the row geometric mean of each row of each relative importance judgment matrix; Normalizing each of the row geometric mean values ​​to obtain the weight values ​​of each of the evaluation indicators in the relative importance judgment matrix; According to the weight value of each evaluation indicator in the relative importance judgment matrix, a first sub-weight of each evaluation indicator is obtained.

4. The method for evaluating the degree of coordination of three-life space coupling as claimed in claim 3 is characterized in that: The step of calculating the row geometric mean of each row of each relative importance judgment matrix comprises: The following calculation formula is used to calculate the row geometric mean of each row of each relative importance judgment matrix: The normalizing of the geometric mean of each row to obtain the weight value of each evaluation index in the relative importance judgment matrix as the first sub-weight includes: The following calculation formula is used to normalize the geometric mean of each row to obtain the weight value of each evaluation index in the relative importance judgment matrix: Where i is the matrix row number, j is the evaluation index number, i = 1, 2, ..., n; j = 1, 2, ..., n, n is the number of evaluation indicators in the relative importance judgment matrix; a ij is the j-th relative importance comparison score of the i-th row.

5. The method for evaluating the degree of coordination of three-life space coupling as claimed in claim 1, characterized in that: The method of calculating the second sub-weight of each evaluation indicator by using the entropy method includes: Calculate the proportion of each evaluation indicator; Calculate the index entropy value of each evaluation index according to the proportion of the index; According to the indicator entropy value, calculate the weight of each evaluation indicator as the second sub-weight; Then, the indicator weight of each evaluation indicator is calculated comprehensively according to the first sub-weight and the second sub-weight, including: The indicator weight of each of the evaluation indicators is calculated according to the first sub-weight, the second sub-weight and a preset weight distribution ratio.

6. The method for evaluating the degree of coordination of three-life space coupling as claimed in claim 1, characterized in that: The preset coupling coordination degree calculation model is: Among them, D is the spatial coupling coordination degree of the three-life based on rural tourism, C is the spatial coupling degree of the three-life based on rural tourism, P, R, and E are the comprehensive evaluation values ​​of the production space function, living space function, and ecological space function based on rural tourism, respectively. β and γ are the unknown coefficients of production space function, living space function and ecological space function mainly based on rural tourism.

7. A device for evaluating the degree of coordination of three-life space coupling, characterized in that: include: An evaluation index acquisition module is used to obtain evaluation indicators of the coupling coordination degree of the three life space functions of the village; wherein the three life space functions include production space functions mainly based on rural tourism, living space functions and ecological space functions; An indicator weight calculation module, used to calculate the first sub-weight of each evaluation indicator by using the target hierarchical analysis method, calculate the second sub-weight of each evaluation indicator by using the entropy method, and comprehensively calculate the indicator weight of each evaluation indicator based on the first sub-weight and the second sub-weight; A comprehensive evaluation value calculation module, used to calculate the comprehensive evaluation values ​​of the production space function mainly based on rural tourism, the living space function and the ecological space function according to each of the evaluation indicators and their indicator weights; The coupling coordination degree calculation module is used to substitute the comprehensive evaluation value into a preset coupling coordination degree calculation model to calculate the coupling coordination degree of the three-life space based on rural tourism.

8. A device for evaluating the degree of coordination of three-dimensional space coupling, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the three-life space coupling coordination degree evaluation method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the three-life space coupling coordination degree evaluation method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product includes a computer program or a computer instruction, and when the computer program or the computer instruction is executed by a processor, the method for evaluating the spatial coupling coordination degree of three-life as described in any one of claims 1 to 6 is implemented.

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