Method for Quantifying the Possibility of Traditional Village Spatial Renewal Based on Spatial Renewal Sensitivity

Abstract

A method for quantifying the possibility of traditional village space update based on spatial update sensitivity includes the following steps: S1: Determine the spatial update sensitivity evaluation mechanism; S2: Screen the index factors for evaluating the spatial protection value degree, update demand degree, and update difficulty degree of traditional villages; S3: Calculate the weight values of the index factors and construct a spatial update sensitivity evaluation model; S4: Obtain each evaluation statistical data and calculate the factor data; S5: Calculate the score of the spatial protection value degree of traditional villages; S6: Identify the indicators affected by the evaluation results of the protected value degree; S7: Process the calculation data of the update demand degree and update difficulty degree index factors; S8: Calculate the update demand degree and update difficulty degree values of traditional villages; S9: Calculate the spatial update sensitivity value; S10: Identify the spatial objects in urgent need of update. The present invention is used to calculate the update possibility of village space, has high operability, and is conducive to decision-makers and managers making accurate judgments on the development prospects of villages.

Description

Technical Field

[0001] The present invention relates to the technical field of the protection and renewal of traditional villages, and particularly to a method for quantifying the possibility of spatial renewal of traditional villages based on spatial renewal sensitivity. Background Art

[0002] Traditional villages are precious legacies left by the agricultural civilization for the present age, not only containing the essence and characteristics of regional cultures, but also demonstrating the human wisdom of rural construction. In the rapid trend of urbanization, the traditional spatial environment can hardly meet the contemporary living standards. It not only faces the aging of the physical space, but also is mixed with structural and functional decline, and the need for renewal is becoming increasingly urgent. Since traditional villages have the dual attributes of historical and cultural heritages and the current human settlement environment, the village protection methods centered on single-value evaluation mostly focus on the historical significance rather than the practical significance of the villages, lack attention to the current users, and ignore the modernization renewal demands. Although some villages have been completely protected, they have lost their vitality due to backward facilities and poor human settlement environments; some villages, however, are gradually being damaged in the process of excessive modernization renewal activities. Therefore, emphasizing the equal importance of value protection and renewal demands, and scientifically grasping the "degree" between protection and renewal play an important supporting role in the orderly development of traditional village renewal activities.

[0003] The patent application document with the publication number CN115018331A discloses an intelligent evaluation method and system for the protection and utilization value of traditional villages, including: preparing data, including the basic information of traditional villages, traditional building information, village location and pattern information, intangible cultural heritage information, historical environmental element information, and cultural value element information; extracting the required evaluation calculation indicators from the data, building a neural network, importing data for training, determining the optimal index weights, and using the trained neural network model to evaluate the protection and utilization value of traditional villages. It only focuses on evaluating the protection and utilization value of traditional villages and does not involve the issue of village renewal. Summary of the Invention

[0004] Aiming at the above deficiencies of the prior art, the purpose of the present invention is to provide a method for quantifying the possibility of spatial renewal of traditional villages based on spatial renewal sensitivity. Based on the current situation of spatial protection and renewal of traditional villages, taking into account both "value protection" and "human activities", the concept of "spatial renewal sensitivity" is proposed. By sorting out the relationship between spatial protection value and spatial renewal motivation and resistance, a corresponding evaluation index system is constructed to quantify the possibility of spatial renewal of traditional villages and determine the allowable degree of renewal. It has high operability and forms a quantitative research that can be evaluated, deduced, and assigned values, which is conducive to decision-makers and managers making accurate judgments on the development prospects of villages.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for quantifying the possibility of traditional village space renewal based on spatial renewal sensitivity includes the following steps:

[0007] Step 1: Determine the evaluation mechanism and logic of traditional village space renewal sensitivity, which is the result of a comprehensive evaluation of the spatial protection value, spatial renewal demand, and spatial renewal difficulty of traditional villages, and is manifested as the sensitivity of various spaces to renewal activities;

[0008] Step 2: Screen the index factors for evaluating the spatial protection value degree, spatial renewal demand degree, and spatial renewal difficulty degree of traditional village spaces;

[0009] Step 3: Use the AHP (Analytic Hierarchy Process) to calculate the weight values of the index factors for the spatial protection value degree of traditional village spaces; comprehensively use the AHP and the entropy weight method to calculate the weight values of the index factors for the spatial renewal demand degree and spatial renewal difficulty degree, and construct a spatial renewal sensitivity evaluation model composed of multiple evaluations and multiple index factors;

[0010] Step 4: Obtain the statistical data of the index factors for evaluating the spatial protection value degree, spatial renewal demand degree, and spatial renewal difficulty degree of traditional village spaces, and calculate the statistical data of the index factors of traditional villages;

[0011] Step 5: Use the fuzzy comprehensive evaluation method to obtain the score of the spatial protection value degree of traditional villages;

[0012] Step 6: Determine which indicators in the evaluation index systems for the spatial renewal demand degree and renewal difficulty degree of traditional village spaces will be affected by their evaluation results;

[0013] Step 7: Normalize the calculated data of the index factors for the spatial renewal demand degree and renewal difficulty degree of traditional village spaces to obtain the standardized data of each index factor;

[0014] Step 8: According to the weight values of the index factors and the standardized data of each index factor of traditional villages, use the linear weighted evaluation method to calculate the values of the renewal demand degree and renewal difficulty degree of traditional villages;

[0015] Step 9: Update the spatial demand degree index of traditional villages to a driving force index, and the difficulty degree index to a hindrance force index, and the difference between the two gives the final spatial renewal sensitivity value;

[0016] Step 10: Classify the spatial renewal sensitivity values of the same type of spaces and identify the spatial objects that urgently need to be renewed.

[0017] In the said Step 1, the sensitivity of the traditional village space update is the result of a comprehensive evaluation of the protection value of the traditional village space, the space update demand, and the space update difficulty. Specifically, the fuzzy comprehensive evaluation method is used to conduct the evaluation of the space protection value degree and take it as a pre-evaluation. An evaluation index system for the space update demand degree and the update difficulty degree is constructed. The linear weighted evaluation method is used to obtain the values of the space update demand degree and the update difficulty degree based on the protection value degree. The difference between the two is the evaluation result of the sensitivity of the traditional village space update.

[0018] In the said Step 2, the index factors for the evaluation of the protection value degree of the traditional village space are aimed at four types of spaces, namely, landscape ecological space, street space, node space, and courtyard space. The corresponding criterion layer includes historical value, cultural and artistic value, ecological value, scientific value, and social value. The index layer constructs an evaluation index system for the protection value degree of the traditional village space, including 22 index factors such as the age, historical status, rich connotation of characteristic culture, landscape aesthetic degree, richness of characteristic elements, protection of the original natural environment, ecological security, iconicity, particularity, social vitality, functionality, authenticity of the traditional style, uniqueness of the street space, environmental coordination degree, limitation, preservation degree of characteristic elements, preservation degree of the traditional style, craft aesthetic degree, inheritance of traditional construction techniques, typicality of traditional construction techniques, building vitality, and educational significance.

[0019] The index factors for the evaluation of the space update demand degree of the traditional village are the space's own needs and the update driving factors generated by the external impact on the space. The criterion layer mainly includes four aspects: self-repair ability, government promotion force, market attraction force, and villagers' demand force. Among them, the index layer of the self-repair ability includes 3 index factors: the current space quality, the volume of idle buildings / land area, and the degree of space modernization; the index layer of the government promotion force includes 6 index factors: the degree of facility improvement, traffic accessibility, protection and utilization of historical and cultural remains, space security, axis and node, and aesthetic degree of the style; the index layer of the market attraction force includes 3 index factors: geographical location, richness of elements, and matching degree of the current function; the index layer of the villagers' demand force includes 2 index factors: space comfort and social vitality, totaling 14 index factors.

[0020] The index factors for the evaluation of the space update difficulty degree of the traditional village mainly show the obstacles suffered by the space during the update process. The criterion layer mainly includes three aspects: transaction cost, economic cost, and technical cost. Among them, the index layer of the transaction cost includes 4 index factors: property right coordination degree, property right change, property right integration degree, and property right complexity degree; the index layer of the economic cost includes 2 index factors: space change degree and update method; the index layer of the technical cost includes 2 index factors: scarcity of techniques and complexity of craftsmanship, totaling 8 index factors.

[0021] In step 3, the analytic hierarchy process (AHP) is used to calculate the weight values of the evaluation indicators for the spatial protection value of traditional villages. The weight of the j-th indicator factor layer is denoted as Wj, where j is a positive integer and j = 1, 2, …, m. The AHP and entropy weight method are comprehensively used to calculate the weight values of the evaluation indicators for the spatial renewal demand and spatial renewal difficulty of traditional villages, and a sensitivity evaluation system for the spatial renewal of traditional villages is established. The comprehensive calculation method of the weight is as follows:

[0022]

[0023] where α and β are the weight values obtained by the two methods.

[0024] In step 5, since the indicator system for the evaluation of the spatial protection value of traditional villages involves multiple levels, it is necessary to evaluate the indicator layer and the criterion layer separately. The evaluation result of the membership degree of the indicator layer elements to the criterion layer elements, that is, the weight coefficient of a single indicator, is used as the basic data for calculating the membership degree of the evaluation object to different judgment levels under the criterion layer elements, and the final result is obtained through layer-by-layer calculation. The calculation formula is as follows:

[0025] where the specific calculation formula for the first-level fuzzy comprehensive evaluation is:

[0026] S i = W i ·R i = (s i1 , s i2 , …, s im )

[0027] Wi is the weight vector of the bottom-level indicator factors; Ri is the membership degree matrix of each indicator factor; Si is the evaluation result vector.

[0028] The specific calculation formula for the second-level fuzzy comprehensive evaluation is:

[0029] S i = W · (S1, S2, S3, …, S k ) T = {w1, w2, w3, …, w k} · (S1, S2, S3, …, S k ) T

[0030] W is the weight vector of each element in the criterion layer; S1...Sk are the results of the first-level fuzzy comprehensive evaluation.

[0031] In step 6, there are 7 indicators in the updated sensitivity evaluation, namely the current spatial quality, the volume of idle buildings / land area, the protection and utilization of historical and cultural heritages, the axes and nodes, the degree of match with the current function, the degree of spatial change, and the assignment of the renewal method will be affected by the evaluation results of the protection value degree. When assigning values, a coefficient needs to be multiplied. The coefficient is an integer from 1 to 5, corresponding to the level of the evaluation results of the protection value degree.

[0032] In step 7, according to the calculation formulas and spatial characteristics of each indicator factor of the traditional village spatial renewal sensitivity, calculate the maximum and minimum values, and perform extreme value normalization processing on each factor data to eliminate the influence of the dimension level on the openness value of the traditional village, that is, process all data into the set interval of [0,1], and obtain the standardized data Yij of the jth indicator factor of the ith traditional village.

[0033] The calculation formula for the standardized data Yij of the positive indicator is:

[0034]

[0035] The calculation formula for the standardized data Yij of the negative indicator is:

[0036]

[0037] Among them, Xij is the average value of each indicator factor; min(Xij) is the minimum value of each factor indicator; max(Xij) is the maximum value of each factor.

[0038] In step 8, perform linear weighting on the processed standardized data and the weight values of each factor to obtain the renewal demand degree and renewal difficulty degree values of various spaces. The calculation formula is:

[0039]

[0040] Among them, A is the evaluation value of the research system, Wj is the weight value of each evaluation index, and Sj is the data of the evaluation index value.

[0041] In step 9, use NSe to represent the comprehensive evaluation result of the spatial renewal sensitivity, use NDe to represent the evaluation result of the renewal demand degree of the traditional village space, and use NDi to represent the evaluation result of the renewal difficulty degree of the traditional village space. Then the relationship among the three is:

[0042] NS e =ND e -ND i

[0043] In step 10, with the help of GIS software and using the natural breakpoint grading method, divide the evaluation results of the renewal sensitivity of various spaces into five grades: high, relatively high, medium, relatively low, and low renewal sensitivity.

[0044] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0045] (1) Different from the conventional all-round and covering village renewal methods, the renewal based on the evaluation results of spatial renewal sensitivity emphasizes more on the accuracy of identifying objects to be renewed, and can grasp the key points and difficulties of protection and renewal from the overall spatial level of the village to ensure the quality and effect of renewal activities. From the application effect of the evaluation method, the traditional village spatial renewal sensitivity evaluation method can clearly point out the entry points, key points and difficult points of spatial renewal, revealing that not all spaces with renewal demands need to carry out renewal activities. It has the characteristics of prominent key points, clear system and clear guidance, thus realizing the orderliness, scientificness and rationality of traditional village renewal activities.

[0046] (2) The methods adopted, such as the fuzzy comprehensive evaluation method, linear weighted evaluation method, analytic hierarchy process, entropy weight method, etc., are all common mathematical statistics tools with simple principles and easy to operate. Moreover, these mathematical statistics tools have a very high compatibility with digital intelligent systems, can form an evaluation technical guide, and with the help of digital intelligent systems to form a technical platform, an evaluation system with convenient operation can be formed, so as to comprehensively promote this evaluation method and better serve the vast number of traditional villages.

[0047] (3) The index factors selected in the current various evaluation index systems fully conform to the current actual situation of the protection and renewal of traditional villages, and the evaluation results can accurately and effectively reflect the renewal possibilities of various spaces in traditional villages.

[0048] Based on weighing the relationship between the spatial protection and renewal of traditional villages, focusing on how to better carry out renewal, and comprehensively using methods such as the fuzzy comprehensive evaluation method, linear weighted evaluation method, analytic hierarchy process, entropy weight method, etc., the present invention has completed the construction of the "evaluation index system for traditional village spatial renewal sensitivity", formed a quantitative evaluation method that can be evaluated, deduced and assigned values, quantitatively characterized the renewal possibilities of various spaces in traditional villages, provided a basis for which spaces in the village need urgent renewal, delayed renewal, do not need renewal and need cautious renewal, and is conducive to decision-makers and managers to make accurate judgments on the development prospects of the village. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic flow chart of the method of the present invention.

[0050] Figure 2 It is a schematic diagram of the traditional village spatial renewal sensitivity evaluation mechanism.

[0051] Figure 3 It is a schematic diagram of the traditional village spatial renewal sensitivity comprehensive evaluation model.

[0052] Figure 4Graph of weight data of spatial update demand degree and difficulty evaluation factors in the embodiment. Detailed implementation manners

[0053] The present invention will be further described in detail below with reference to the accompanying drawings.

[0054] As Figure 1 shown, a method for quantifying the possibility of traditional village spatial update based on spatial update sensitivity includes the following steps:

[0055] Step 1: Determine the evaluation mechanism and logic of traditional village spatial update sensitivity, which is the result of a comprehensive evaluation of the spatial protection value, spatial update demand, and spatial update difficulty of traditional villages, and is manifested as the sensitivity of various spaces to update activities;

[0056] Step 2: Select the index factors for evaluating the spatial protection value degree, spatial update demand degree, and spatial update difficulty degree of traditional villages;

[0057] Step 3: Use the AHP (Analytic Hierarchy Process) to calculate the weight values of the index factors of the spatial protection value degree of traditional villages; comprehensively use the AHP and entropy weight method to calculate the weight values of the index factors of the spatial update demand degree and spatial update difficulty degree of traditional villages, and construct a spatial update sensitivity evaluation model composed of multiple evaluations and multiple index factors;

[0058] Step 4: Obtain the statistical data of the index factors for evaluating the spatial protection value degree, spatial update demand degree, and spatial update difficulty degree of traditional villages, and calculate the statistical data of the index factors of traditional villages;

[0059] Step 5: Use the fuzzy comprehensive evaluation method to obtain the score of the spatial protection value degree of traditional villages;

[0060] Step 6: Determine which indicators in the evaluation index system of the spatial update demand degree and update difficulty degree of traditional villages will be affected by their evaluation results;

[0061] Step 7: Normalize the calculation data of the index factors of the spatial update demand degree and update difficulty degree of traditional villages to obtain the standardized data of each index factor;

[0062] Step 8: According to the weight values of the index factors and the standardized data of each index factor of traditional villages, use the linear weighted evaluation method to calculate the values of the update demand degree and update difficulty degree of traditional villages;

[0063] Step 9: Update the spatial demand degree index of traditional villages to a driving force index, and the difficulty degree index to a resistance index. The two have different action modes on the magnitude of the impact on the possibility of spatial update. The difference between the two gives the final spatial update sensitivity value;

[0064] Step 10: Classify the sensitivity values of the same type of space updates and identify the space objects that need to be updated urgently.

[0065] Specifically, as Figures 2 - 4 shown, this embodiment mainly applies the space update sensitivity evaluation method based on the actual situation of various spaces in Taixiangsi Village, Yanchuan County, Yan'an City, northern Shaanxi. Combining the evaluation results, it quantitatively characterizes the update possibilities of various spaces, providing a scientific basis and application guidance for the space update and optimization adjustment of the traditional village of Taixiangsi.

[0066] In Step 1, since the protection and update of traditional villages interact and influence each other. Demand is the internal driving force for update activities, cost is the direct obstacle in the update process, and the protection value of traditional village space can not only provide motivation for update but also pose corresponding obstacles. Therefore, the sensitivity of traditional village space update is the result of a comprehensive evaluation of "protection value", "update demand", and "update difficulty" of the space.

[0067] In Step 2, since the value compositions of various spaces in traditional villages are different and the evaluation indicators under the same value composition are also different, the evaluation of the degree of space protection value is split into the evaluation of the degree of landscape ecological space protection value, the evaluation of the degree of street space protection value, the evaluation of the degree of node space protection value, and the evaluation of the degree of courtyard space protection value, forming the evaluation elements and hierarchical structure of the degree of protection value, as shown in Table 1.

[0068] Table 1 Evaluation elements and hierarchical structure of the protection value degree of traditional villages

[0069]

[0070]

[0071] In Step 3, according to the multi-level evaluation criteria, corresponding index factors are selected based on the analysis results, the types and forms of factors in each evaluation level are determined, and an evaluation index system for the sensitivity of traditional village space update is constructed, mainly including the evaluation of the degree of protection value that needs to be carried out in advance and the evaluation of the degree of update demand and the evaluation of the degree of update difficulty that are carried out synchronously subsequently, as shown in Table 2.

[0072] Table 2 Evaluation index system for the degree of update demand and the degree of update difficulty of traditional villages

[0073]

[0074]

[0075] In Step 5, combined with the evaluation elements and hierarchical structure model of the degree of protection value, the AHP (Analytic Hierarchy Process) is used to calculate the index weights and pass the consistency test, as shown in Table 3.

[0076] Table 3 Weight Table of Evaluation Factors for the Protection Value Degree of Various Spaces in Taixiangsi Village

[0077]

[0078]

[0079] The index comment levels in the evaluation of the spatial protection value are divided into five levels: "very high", "high", "relatively high", "general", and "not high", which are represented by 5 points to 1 point respectively. To make the evaluation more objective and accurate, combined with the specific situation of Taixiangsi Village, the specific meanings of some indicators in the five-level scoring standard are clarified and explained, as shown in Table 4.

[0080] Table 4 Scoring Standards for Some Indicators in the Evaluation of the Spatial Protection Value Degree

[0081]

[0082]

[0083] According to the weight coefficients of individual indicators obtained above, combined with the index fuzzy evaluation matrix, the first-level fuzzy comprehensive evaluation result is calculated. The result of the second-level fuzzy comprehensive evaluation needs to perform matrix multiplication operations on the weight of the criterion layer to the target layer and the result of the first-level fuzzy comprehensive evaluation. Finally, the scores of the protection value degrees of various spaces in Taixiangsi Village are obtained, as shown in Table 5.

[0084] Table 5 Summary of Scores of the Protection Value Degrees of Various Spaces in Taixiangsi Village

[0085]

[0086]

[0087] In step 6, clarify the final score based on the factor information data and the protection value degree evaluation result, that is, not only the actual score of the space, but the comprehensive demand degree score after combining the protection value degree evaluation result, and judge the correlation between it and the update demand degree and the update difficulty degree, as shown in Table 6.

[0088] Table 6 Indicators Affected by the Protection Value Degree Evaluation Result and the Assignment Method

[0089]

[0090]

[0091] In step 7, according to the calculation formula of each index factor, the maximum and minimum value method is used to standardize the factor information data so that the values of all data fall between 0 and 1. The specific calculation method is as follows:

[0092] Among them, positive indicators:

[0093]

[0094] Negative indicators:

[0095]

[0096] Among them, X ij is the average value of each index factor; min(X ij ) is the minimum value of each factor index; max(X ij ) is the maximum value of each factor.

[0097] In step 8, since the linear weighted average method has relatively high scientific requirements for assigning index weights, the AHP (Analytic Hierarchy Process) and entropy weight method are comprehensively used to determine the index weights to reduce the influence of subjective components in simply using the AHP for weight judgment. The specific operation method is as follows, where α and β are the weight values obtained by the two methods. The final result of the final combined weighting is as Figure 4 .

[0098]

[0099] Standardize the scores of each factor based on the current spatial situation and coupled with the evaluation results of the protection value degree, multiply them by their corresponding combined weight values respectively, and sum up the index scores under the same target layer to obtain the final evaluation results of the spatial update demand degree and spatial update difficulty degree.

[0100]

[0101] Among them, A is the evaluation value of the research system, Wj is the weight value of each evaluation index, and Sj is the data of the evaluation index value.

[0102] In step 9, the greater the update demand degree of the space, the stronger the update motivation, and the greater the update difficulty degree of the space, the greater the update resistance. The acting forces of the two on whether the space can undergo update activities are opposite. Therefore, the difference between the scores of the two based on the evaluation results of the protection value degree is the spatial update sensitivity value. It should be noted that it is meaningless to compare the evaluation results of the update sensitivity of different levels or types of space.

[0103] In step 10, the natural breakpoint classification method is used to divide the spatial renewal sensitivity values into 5 levels, among which the natural breakpoints of landscape ecological space renewal sensitivity are 0.2582, 0.3363, 0.3658 and 0.3974; the natural breakpoints of street space renewal sensitivity are -0.1085, 0.1745, 0.2702 and 0.3867; the natural breakpoints of node space renewal sensitivity are -0.1477, -0.0303, 0.1535 and 0.2830; the natural breakpoints of courtyard space renewal sensitivity are -0.2621, 0.0033, 0.1324 and 0.2102. The spatial renewal sensitivity classification map of Taixiangsi Village and the corresponding renewal guidance are obtained, see Table 7.

[0104] Table 7 Spatial update sensitivity partitioning table

[0105]

[0106]

[0107] In summary, the present invention starts from how to balance the "degree" between the protection and renewal of traditional village spaces, and constructs a traditional village space renewal sensitivity evaluation model. The evaluation system can be used to calculate the renewal possibility and renewable degree of various spaces in the village, and then clarify the renewal focus, difficulty, key points and renewal sequence of traditional villages, so as to improve the scientificity and rationality of the traditional village protection and renewal methods.

Claims

1. A method for quantifying the possibility of traditional village space renewal based on spatial renewal sensitivity, characterized in that It includes the following steps: Step 1: Determine the evaluation mechanism and logic of the sensitivity of traditional village space renewal, which is the result of a comprehensive evaluation of the protection value of traditional village space, the need for space renewal, and the difficulty of space renewal, and is manifested as the sensitivity of various spaces to renewal activities; Step 2: Screen the index factors for evaluating the protection value degree, space renewal demand degree, and space renewal difficulty degree of traditional village space; Step 3: Use the AHP (Analytic Hierarchy Process) to calculate the weight values of the index factors for the protection value degree of traditional village space, and comprehensively use the AHP and entropy weight method to calculate the weight values of the index factors for the space renewal demand degree and space renewal difficulty degree, and construct a space renewal sensitivity evaluation model composed of multiple evaluations and multiple index factors; Step 4: Obtain the statistical data of the index factors for evaluating the protection value degree, space renewal demand degree, and space renewal difficulty degree of traditional village space, and calculate the statistical data of the index factors of the traditional village; Step 5: Use the fuzzy comprehensive evaluation method to obtain the score of the protection value degree of traditional village space; Step 6: Determine which indicators in the evaluation index system of the space renewal demand degree and renewal difficulty degree of traditional village space will be affected by their evaluation results; Step 7: Normalize the calculated data of the index factors for the space renewal demand degree and renewal difficulty degree of traditional village space to obtain the standardized data of each index factor; Step 8: According to the weight values of the index factors and the standardized data of each index factor of the traditional village, use the linear weighted evaluation method to calculate the values of the space renewal demand degree and renewal difficulty degree of the traditional village; Step 9: Update the space demand degree index of the traditional village as the driving force index, and the difficulty degree index as the resistance index, and the difference between the two gives the final space renewal sensitivity value; Step 10: Classify the space renewal sensitivity values of the same type of space to identify the space objects in urgent need of renewal.

2. The method for quantifying the possibility of traditional village space renewal based on spatial renewal sensitivity according to claim 1, characterized in that The sensitivity of the traditional village space renewal is the result of a comprehensive evaluation of the protection value of traditional village space, the need for space renewal, and the difficulty of space renewal. Specifically, it uses the fuzzy comprehensive evaluation method to carry out the evaluation of the protection value degree and takes it as a pre-evaluation, constructs the evaluation index system for the space renewal demand degree and renewal difficulty degree, uses the linear weighted evaluation method to obtain the values of the space renewal demand degree and renewal difficulty degree based on the protection value degree, and the difference between the two is the evaluation result of the traditional village space renewal sensitivity.

3. The method for quantifying the possibility of traditional village spatial renewal based on spatial renewal sensitivity according to claim 1, wherein In step 2, the index factors for evaluating the protection value degree of traditional village space target four types of space, namely landscape ecological space, street space, node space, and courtyard space. Their corresponding criterion layers include historical value, cultural and artistic value, ecological value, scientific value, and social value. The index layer constructs an evaluation index system for the protection value degree of traditional village space, including 22 index factors such as the age, historical status, rich connotation of characteristic culture, landscape aesthetic degree, richness of characteristic elements, protection of original natural environment, ecological safety, iconicity, particularity, social vitality, functionality, authenticity of traditional style, uniqueness of street space, environmental coordination degree, finiteness, preservation degree of characteristic elements, preservation degree of traditional style, craft aesthetic degree, inheritance of traditional construction techniques, typicality of traditional construction techniques, building activity degree, and educational significance; The index factors for evaluating the update demand degree of traditional village space are the update driving factors generated by the space's own needs and external influences on the space. The criterion layer includes four aspects: self-repair ability, government promotion force, market attraction force, and villagers' demand force. Among them, the index layer of self-repair ability includes three index factors: current space quality, volume of idle buildings / land area, and degree of space modernization; the index layer of government promotion force includes six index factors: facility perfection degree, traffic accessibility, protection and utilization of historical and cultural remains, space safety, axis and nodes, and aesthetic degree of style; the index layer of market attraction force includes three index factors: geographical location, richness of elements, and degree of matching with current functions; the index layer of villagers' demand force includes two index factors: space comfort degree and social vitality degree, totaling 14 index factors; The index factors for evaluating the update difficulty degree of traditional village space are the obstacles suffered by the space during the update process. The criterion layer includes three aspects: transaction cost, economic cost, and technical cost. Among them, the index layer of transaction cost includes four index factors: property right coordination degree, property right change, degree of property right integration, and degree of property right complexity; the index layer of economic cost includes two index factors: degree of space change and update method; the index layer of technical cost includes two index factors: scarcity of techniques and complexity of crafts, totaling 8 index factors.

4. The method for quantifying the possibility of traditional village space renewal based on spatial update sensitivity according to claim 1, wherein In step 3, the AHP (Analytic Hierarchy Process) is used to calculate the weight values of the evaluation indicators for the protection value degree of traditional village space. The weight of the j-th index factor layer is denoted as Wj, where j is a positive integer, j = 1, 2, ……, m; The AHP and entropy weight method are comprehensively used to calculate the weight values of the evaluation indicators for the update demand degree and update difficulty degree of traditional village space, and an evaluation system for the update sensitivity of traditional village space is established. The comprehensive calculation method of the weight is: where α and β are the weight values obtained by the two methods.

5. The method for quantifying the possibility of traditional village space update based on spatial update sensitivity according to claim 1, wherein In step 5, since the index system for the evaluation of the protection value of traditional village space involves multiple levels, it is necessary to evaluate the index layer and the criterion layer separately. The evaluation results of the membership degrees of the index layer elements to the criterion layer elements, that is, the weight coefficients of single indicators, are used as the basic data for calculating the membership degrees of the evaluation object to different judgment levels under the criterion layer elements, and the final result is calculated layer by layer. The calculation formula is as follows: Among them, the specific calculation formula for the first-level fuzzy comprehensive evaluation is: S i = W i ·R i = (s i1 , s i2 , …, s im ) Wi is the weight vector of the bottom-level index factors; Ri is the membership degree matrix of each index factor; Si is the evaluation result vector; The specific calculation formula for the second-level fuzzy comprehensive evaluation is: S i = W·(S1, S2, S3, …, S k ) T = {w1, w2, w3, …, w k}·(S1, S2, S3, …, S k ) T W is the weight vector of each element in the criterion layer; S1...Sk are the results of the first-level fuzzy comprehensive evaluation.

6. The method for quantifying the possibility of traditional village space renewal based on space renewal sensitivity according to claim 1, characterized in that, In step 6, there are 7 indicators in the updated sensitivity evaluation, namely the current space quality, the volume of idle buildings / land area, the protection and utilization of historical and cultural remains, the axes and nodes, the degree of matching of the current functions, the degree of spatial change, and the update method. The assignment will be affected by the evaluation results of the protection value degree. When assigning values, a coefficient needs to be multiplied. The coefficient is an integer from 1 to 5, corresponding to the levels of the evaluation results of the protection value degree.

7. The method for quantifying the possibility of traditional village space renewal based on spatial renewal sensitivity according to claim 1, characterized in that, In step 7, according to the calculation formulas and spatial characteristics of each index factor of the traditional village space update sensitivity, the maximum value and the minimum value are calculated, and the data of each factor are subjected to extreme value normalization processing to eliminate the influence of the dimension level on the openness value of the traditional village, that is, all data are processed into the set interval of [0,1] to obtain the standardized data Yij of the jth index factor of the ith traditional village. The calculation formula for the standardized data Yij of the positive index is: The calculation formula for the standardized data Yij of the negative index is: Among them, Xij is the average value of each index factor; min(Xij) is the minimum value of each factor index; max(Xij) is the maximum value of each factor.

8. The method for quantifying the possibility of traditional village space renewal based on spatial renewal sensitivity according to claim 1, wherein In step 8, the processed standardized data and the weight values of each factor are linearly weighted to obtain the update demand degree and update difficulty degree values of various spaces. The calculation formula is: Among them, A is the evaluation value of the research system, Wj is the weight value of each evaluation index, and Sj is the data of the evaluation index value.

9. The method for quantifying the possibility of traditional village space renewal based on spatial renewal sensitivity according to claim 1, wherein In step 9, let NSe represent the comprehensive evaluation result of the space update sensitivity, NDe represent the evaluation result of the update demand degree of the traditional village space, and NDi represent the evaluation result of the update difficulty degree of the traditional village space update. Then the relationship among the three is: NS e = ND e - ND i .

10. The method for quantifying the possibility of traditional village space renewal based on space renewal sensitivity according to claim 1, wherein In step 10, with the help of GIS software and using the natural break classification method, the evaluation results of the update sensitivity of various spaces are divided into five levels: high, relatively high, medium, relatively low, and low update sensitivity.

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