Historical and cultural city sojourn evaluation system

Abstract

The invention provides a historical and cultural city sojourn evaluation system, and the system is characterized in that the system comprises an index generation unit which is used for generating a target layer index, a characteristic layer index, and a criterion layer index; the first weight calculation unit is used for calculating a first weight corresponding to each characteristic layer index and a first weight corresponding to each criterion layer index according to feedback data corresponding to the comparison importance of the characteristic layer indexes and the criterion layer indexes; the second weight calculation unit is used for calculating a second weight corresponding to each characteristic layer index and a second weight corresponding to each criterion layer index according to each index data; the final weight calculation unit is used for calculating a final weight according to the corresponding first weight and the second weight in combination with the key parameters; and the sojourn score calculation unit is used for calculating a corresponding sojourn score as a sojourn evaluation result for each famous historical and cultural city according to the corresponding index data and the final weight. In a word, the system can comprehensively and accurately obtain the evaluation result of the famous historical and cultural city.

Description

Technical Field

[0001] The present invention relates to the field of city evaluation and system application based on big data, and in particular to a historical and cultural city travel and residence evaluation system. Background Art

[0002] Urban evaluation technology based on big data is a comprehensive technology that conducts quantitative evaluations on various aspects such as urban resources, industrial development, and residents' welfare. It plays an important guiding role in government decision-making, corporate positioning, and consumer services.

[0003] Historical and cultural cities are cities with unique and rich cultural relics and content. Therefore, with people's growing demand for in-depth travel elements such as unique life and cultural experience, historical and cultural cities have become one of the important choices for travel destinations.

[0004] The existing historical and cultural city evaluation technology based on big data mainly quantifies and evaluates the protection and restoration of historical architectural sites. Such evaluation results cannot fully reflect the true historical and cultural connotations and travel experience potential of a city. In addition, the data quantification of existing technologies also has limitations. It does not fully and reasonably consider the correlation between relevant data indicators, making the quantification results inaccurate and objective.

[0005] In summary, the existing historical and cultural city evaluation technology based on big data still has the following technical problems:

[0006] (1) Existing technologies mainly analyze the protection and restoration of historical architectural sites, and obviously do not take into account indicators such as livability, convenience, and experience that are related to in-depth travel and residence. As a result, there are problems with incomplete data analysis and insufficient data quantification.

[0007] (2) The data quantification of existing technologies has limitations. It does not fully and reasonably consider the correlation between relevant data indicators, which makes each data indicator exist independently and not objective and accurate enough.

[0008] (3) The indicators of the existing technology are not completely reasonable, which leads to the fact that the calculation results of each indicator are not further summarized, and comprehensive calculation cannot be carried out. There is no effective comprehensive calculation method, which makes the evaluation results scattered and it is impossible to comprehensively evaluate and quantify multiple historical and cultural cities under the same standard. Summary of the invention

[0009] The present invention is made to solve the above-mentioned problems, and aims to provide a historical and cultural city travel evaluation system.

[0010] The present invention provides a historical and cultural city travel evaluation system, which is used to obtain the travel evaluation results of the historical and cultural city, and has the following characteristics, including: an evaluation end; a plurality of expert ends, which are respectively connected to the evaluation end in communication and are respectively held by each expert, wherein the evaluation end includes: an evaluation side data transmission module, which is used to send data to the expert end and receive data sent by the expert end; a bottom layer data module, which is used to collect historical and cultural city data in real time and perform preprocessing to obtain preprocessed data; an expert knowledge intervention module, which is used to store key parameters and feedback data sent by each expert through the expert end; a travel evaluation algorithm module, which includes: an indicator generation unit, which is used to generate an indicator importance scoring questionnaire according to the preprocessed data, and generate an indicator importance scoring questionnaire according to the feedback data and the corresponding indicator importance scoring questionnaire. The key parameters generate target layer indicators, characteristic layer indicators and criterion layer indicators; the first weight calculation unit is used to calculate the first weight corresponding to each characteristic layer indicator and the criterion layer indicator according to the feedback data corresponding to the comparative importance of the characteristic layer indicators and the criterion layer indicators; the second weight calculation unit is used to calculate the second weight corresponding to each characteristic layer indicator and the criterion layer indicator according to the indicator data corresponding to each historical and cultural city in the preprocessing data; the final weight calculation unit is used to calculate the corresponding final weight for each characteristic layer indicator and the criterion layer indicator according to the corresponding first weight and second weight, combined with the key parameters; the travel score calculation unit is used to calculate the corresponding travel score for each historical and cultural city according to the corresponding indicator data and the final weight as the travel evaluation result.

[0011] The historical and cultural city residence evaluation system provided by the present invention may also have the following features: wherein the preprocessed data includes various historical and cultural city residence evaluation related indicators extracted from the historical and cultural city data,

[0012] The process of generating target layer indicators, characteristic layer indicators and criterion layer indicators includes the following steps: step S1, the indicator generation unit generates a first indicator importance scoring questionnaire based on all historical and cultural city travel and residence evaluation related indicators in combination with the Likert scale; step S2, the evaluation side data transmission module sends the first indicator importance scoring questionnaire to each expert terminal and receives the corresponding first feedback data; step S3, the indicator generation unit calculates the average importance and importance standard deviation corresponding to each historical and cultural city travel and residence evaluation related indicator based on the first feedback data; step S4, the indicator generation unit selects multiple historical and cultural city travel and residence evaluation related indicators as the first indicator based on all average importance and importance standard deviation and key parameters; step S5, the indicator generation unit generates a second indicator importance scoring questionnaire based on the historical and cultural city travel and residence evaluation related indicators other than all the first indicators in combination with the Likert scale; step S6, the evaluation side data transmission module sends the second indicator importance scoring questionnaire to each expert terminal and receives the corresponding second feedback data; step S7, the indicator generation unit calculates the importance of each historical and cultural city travel and residence evaluation related indicators based on the second feedback data The average importance and importance standard deviation corresponding to the indicator; step S8, the indicator generation unit selects multiple historical and cultural cities travel evaluation related indicators as the second indicator according to the average importance and importance standard deviation and key parameters of all historical and cultural cities travel evaluation related indicators; step S9, the indicator generation unit generates a third indicator importance scoring questionnaire based on the historical and cultural cities travel evaluation related indicators other than all the first indicators and the second indicators, combined with the Likert scale; step S10, the evaluation side data transmission module sends the third indicator importance scoring questionnaire to each expert terminal, and receives the corresponding third feedback data; step S11, the indicator generation unit calculates the average importance and importance standard deviation corresponding to each historical and cultural city travel evaluation related indicator according to the third feedback data; step S12, the indicator generation unit selects multiple historical and cultural cities travel evaluation related indicators as the third indicator according to the average importance and importance standard deviation and key parameters of all historical and cultural cities travel evaluation related indicators; step S13, the indicator generation unit sets all the first indicators, the second indicators and the third indicators as target layer indicators, characteristic layer indicators and criterion layer indicators respectively.

[0013] The historical and cultural city residence evaluation system provided by the present invention may also have the following features: the average importance of index i The calculation expression is: Where r ij is the score of the jth expert on indicator i in the feedback data, k is the total number of experts, and the standard deviation of the importance of indicator i is s i The calculation expression is:

[0014] The historical and cultural city residence evaluation system provided by the present invention may also have the following features: wherein the key parameters include an average threshold and a standard deviation threshold, and in step S4, the historical and cultural city residence evaluation related indicators whose average importance is greater than or equal to the average threshold and whose importance standard deviation is less than or equal to the standard deviation threshold are used as the first indicators, and in step S8, the first indicators whose average importance is greater than or equal to the average threshold and whose importance standard deviation is less than or equal to the standard deviation threshold are used as the second indicators, and in step S12, the second indicators whose average importance is greater than or equal to the average threshold and whose importance standard deviation is less than or equal to the standard deviation threshold are used as the third indicators.

[0015] The historical and cultural city travel and residence evaluation system provided by the present invention may also have the following features: wherein, there is 1 target layer indicator, c characteristic layer indicators, and p criterion layer indicators, each criterion layer indicator corresponds to a specific characteristic layer indicator, each characteristic layer indicator has at least one corresponding criterion layer indicator, the feedback data corresponding to the comparative importance of the characteristic layer indicators is the importance evaluation results of each expert on the pairwise characteristic layer indicators, the feedback data corresponding to the comparative importance of the criterion layer indicators is the importance evaluation results of each expert on the pairwise criterion layer indicators, the first weight calculation unit constructs a corresponding characteristic layer judgment matrix according to the importance evaluation results corresponding to the characteristic layer indicators, and calculates the first weight corresponding to the characteristic layer indicators according to the characteristic layer judgment matrix, the first weight calculation unit constructs a criterion layer judgment matrix corresponding to each characteristic layer indicator according to the importance evaluation results corresponding to the criterion layer indicators, and calculates the first weight corresponding to the corresponding criterion layer indicator according to each criterion layer judgment matrix.

[0016] The historical and cultural city travel evaluation system provided by the present invention may also have the following features: wherein the characteristic layer judgment matrix A corresponding to the expert A C The expression is: a cd =1 / a dc , where d≤c, a cd is the value corresponding to the converted evaluation result of the importance of the cth characteristic layer indicator and the dth characteristic layer indicator by expert A, and the criterion layer judgment matrix corresponding to the ith characteristic layer indicator of expert A The expression is: a nm =1 / a mn , where n is the total number of criterion layer indicators corresponding to the i-th characteristic layer indicator, m≤n, a nmIt is the numerical value corresponding to the converted evaluation result of the importance of expert A compared with the nth criterion layer indicator and the mth criterion layer indicator. The first weight corresponding to the characteristic layer indicator is the mean of the characteristic layer weight values ​​corresponding to all experts. The characteristic layer weight value is the average value of all elements of the row corresponding to the characteristic layer indicator in the characteristic layer judgment matrix after normalization of each column of the characteristic layer judgment matrix corresponding to the expert. The first weight corresponding to the criterion layer indicator is the mean of the criterion layer weight values ​​corresponding to all experts. The criterion layer weight value is the average value of all elements of the row corresponding to the criterion layer indicator in the criterion layer judgment matrix after normalization of each column of the criterion layer judgment matrix corresponding to the criterion layer indicator corresponding to the expert.

[0017] The historical and cultural city travel evaluation system provided by the present invention may also have the following features: wherein the consistency index is calculated according to the first weight, and when the consistency index is less than the consistency threshold, the corresponding characteristic layer judgment matrix or criterion layer judgment matrix is ​​reconstructed, and the expert A corresponds to the criterion layer judgment matrix The calculation expression of the consistency index CI is: CI = In the formula for, is the criterion layer judgment matrix The first weight corresponding to the kth criterion layer indicator in .

[0018] The historical and cultural city residence evaluation system provided by the present invention may also have the following features: wherein the calculation expression of the second weight is: d i =1-E i , Where X ui is the specific value of the i-th indicator in the indicator data of the u-th historical and cultural city, is the minimum value of the ith indicator, is the maximum value of the i-th indicator, U is the total number of historical and cultural cities, is the second weight of the i-th indicator.

[0019] The historical and cultural city travel evaluation system provided by the present invention may also have the following features: wherein the key parameters include the adjustment coefficient α, and the calculation expression of the final weight is: W = α·W AHP +(1-α)·W E , where W is the final weight, W AHP is the first weight, W E is the second weight.

[0020] Functions and Effects of the Invention

[0021] According to the historical and cultural city travel evaluation system involved in the present invention, because, first, the indicator generation unit generates an indicator importance scoring questionnaire according to all historical and cultural city travel evaluation related indicators, and according to the feedback data of experts and the average threshold and standard deviation threshold, through three rounds of iteration, multiple indicators that can accurately and comprehensively reflect the characteristics of historical and cultural cities are obtained, and an evaluation system is established; second, through the first weight calculation unit, the second weight calculation unit and the final weight calculation unit, the final weight that can reflect the hierarchical relationship of upper and lower indicators, the mutual relationship of indicators at the same level, and the proportion of indicators in the indicator data is calculated, so as to achieve accurate measurement and quantification of the weight of each indicator; third, the travel score calculation unit is used to obtain the travel score according to the final weight of each indicator and each indicator data, so as to summarize the data corresponding to the indicators of each dimension, so as to fully reflect the evaluation results of the corresponding historical and cultural cities. Therefore, the historical and cultural city travel evaluation system of the present invention can comprehensively and accurately obtain the evaluation results of historical and cultural cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a block diagram of a historical and cultural city residence evaluation system in an embodiment of the present invention;

[0023] Figure 2 is a block diagram of an evaluation terminal in an embodiment of the present invention;

[0024] Figure 3 It is a schematic diagram of a flow chart of the indicator generation unit generating a target layer indicator, a characteristic layer indicator and a criterion layer indicator in an embodiment of the present invention;

[0025] Figure 4 is a schematic diagram of an evaluation system in an embodiment of the present invention;

[0026] Figure 5 It is a schematic diagram of the process of evaluating the residence in a historical and cultural city in an embodiment of the present invention;

[0027] Figure 6 It is a radar map of some historical and cultural cities in the embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the following embodiments and accompanying drawings specifically illustrate the historical and cultural city travel evaluation system of the present invention.

[0029] This embodiment provides a historical and cultural city travel evaluation system for obtaining a historical and cultural city travel evaluation result.

[0030] Figure 1 It is a block diagram of a historical and cultural city residence evaluation system in an embodiment of the present invention.

[0031] like Figure 1 As shown, the historical and cultural city travel evaluation system 100 includes an evaluation terminal 10 and multiple expert terminals 20. The multiple expert terminals 20 are respectively connected to the evaluation terminal 10 and are respectively held by each expert. In this embodiment, the experts are selected from government management departments, industrial departments, academic departments, and user representatives.

[0032] Figure 2 It is a block diagram of the evaluation end in an embodiment of the present invention.

[0033] like Figure 2 As shown, the evaluation end 10 includes an evaluation side data transmission module 101, an underlying data module 102, an expert knowledge intervention module 103, a travel evaluation algorithm module 104, a visualization interaction module 105, a comprehensive ranking application module 106, a geographic distribution application module 107, a type analysis application module 108 and a control module 109 that controls the operation of the above modules.

[0034] The evaluation side data transmission module 101 is used to send data to the expert end 20 and receive data sent by the expert end 20 .

[0035] The bottom data module 102 is used to collect historical and cultural city data in real time and pre-process it to obtain pre-processed data, wherein the pre-processed data includes various historical and cultural city travel evaluation related indicators extracted from the historical and cultural city data.

[0036] The historical and cultural city data in this embodiment include government documents, research literature, industry reports, etc. Preprocessing includes data source identification, data type specification, acquisition process standardization, data preprocessing, storage, update and quality assurance to ensure the legality, ethics and timeliness of the data, and provide an accurate and reliable information basis for the evaluation index system.

[0037] The expert knowledge intervention module 103 is used to store key parameters and feedback data sent by each expert through the expert terminal 20 .

[0038] Among them, the key parameters include the average threshold, the standard deviation threshold and the adjustment coefficient α.

[0039] The sojourn evaluation algorithm module 104 includes an index generating unit 1041 , a first weight calculating unit 1042 , a second weight calculating unit 1043 , a final weight calculating unit 1044 and a sojourn score calculating unit 1045 .

[0040] The indicator generation unit 1041 is used to generate an indicator importance scoring questionnaire based on the preprocessed data, and generate target layer indicators, characteristic layer indicators and criterion layer indicators based on the feedback data and key parameters corresponding to the indicator importance scoring questionnaire.

[0041] Figure 3 It is a schematic diagram of a flow chart of an indicator generation unit generating a target layer indicator, a characteristic layer indicator and a criterion layer indicator in an embodiment of the present invention.

[0042] like Figure 3 As shown, the process of the indicator generation unit 1041 generating the target layer indicator, the characteristic layer indicator and the criterion layer indicator includes the following steps:

[0043] Step S1, the indicator generation unit 1041 generates a first indicator importance rating questionnaire based on all historical and cultural city residence evaluation related indicators in combination with the Likert scale.

[0044] Step S2, the evaluation side data transmission module 101 sends a first indicator importance scoring questionnaire to each expert terminal 20, and receives corresponding first feedback data.

[0045] Step S3, the indicator generation unit 1041 calculates the average importance and importance standard deviation corresponding to each historical and cultural city residence evaluation related indicator according to the first feedback data.

[0046] Among them, the average importance of indicator i The calculation expression is:

[0047]

[0048] Where r ij is the score of the jth expert on indicator i in the feedback data, and k is the total number of experts.

[0049] The importance standard deviation s of indicator i i The calculation expression is:

[0050]

[0051] Step S4, the indicator generation unit 1041 selects multiple historical and cultural city residence evaluation related indicators as the first indicator according to all average importances, importance standard deviations and key parameters.

[0052] Among them, the relevant indicators of historical and cultural city residence evaluation whose average importance is greater than or equal to the average threshold and whose importance standard deviation is less than or equal to the standard deviation threshold are taken as the first indicator.

[0053] Step S5, the indicator generation unit 1041 generates a second indicator importance rating questionnaire based on the historical and cultural city residence evaluation related indicators except all the first indicators in combination with the Likert scale.

[0054] Step S6: the evaluation-side data transmission module 101 sends the second indicator importance scoring questionnaire to each expert terminal 20 and receives corresponding second feedback data.

[0055] Step S7, the indicator generation unit 1041 calculates the average importance and importance standard deviation corresponding to each historical and cultural city residence evaluation related indicator according to the second feedback data.

[0056] Step S8, the indicator generation unit 1041 selects multiple historical and cultural city residence evaluation related indicators as the second indicator according to the average importance and importance standard deviation and key parameters of all historical and cultural city residence evaluation related indicators.

[0057] Among them, the relevant indicators of historical and cultural city residence evaluation whose average importance is greater than or equal to the average threshold and whose importance standard deviation is less than or equal to the standard deviation threshold are used as the second indicator.

[0058] Step S9, the indicator generation unit 1041 generates a third indicator importance rating questionnaire based on the historical and cultural city residence evaluation related indicators except all the first indicators and the second indicators in combination with the Likert scale.

[0059] Step S10 , the evaluation-side data transmission module 101 sends a third indicator importance scoring questionnaire to each expert terminal 20 , and receives corresponding third feedback data.

[0060] Step S11, the indicator generation unit 1041 calculates the average importance and importance standard deviation corresponding to each historical and cultural city residence evaluation related indicator according to the third feedback data.

[0061] Step S12, the indicator generation unit 1041 selects multiple historical and cultural city residence evaluation related indicators as the third indicator according to the average importance and importance standard deviation and key parameters of all historical and cultural city residence evaluation related indicators.

[0062] Among them, the relevant indicators of historical and cultural city residence evaluation whose average importance is greater than or equal to the average threshold and whose importance standard deviation is less than or equal to the standard deviation threshold are used as the third indicator.

[0063] In step S13, the index generating unit 1041 sets all third indexes as target layer indexes, characteristic layer indexes and criterion layer indexes respectively.

[0064] Figure 4 Schematic diagram of the evaluation system in the embodiment of the present invention.

[0065] like Figure 4As shown, the evaluation system of this embodiment includes a target layer, a feature layer and a criterion layer. The target layer includes 1 target layer indicator, namely, the evaluation of living in China's historical and cultural cities. The feature layer includes c=2 characteristic layer indicators, namely, the characteristics of the famous city and the characteristics of living in China. The criterion layer indicators include p=12 criterion layer indicators, namely, authenticity, integrity, availability, safety, ecology, landscape, climate, transportation, life, accommodation, humanities and health.

[0066] Each criterion layer indicator corresponds to a specific characteristic layer indicator, and each characteristic layer indicator has at least one corresponding criterion layer indicator. In this embodiment, the famous city characteristics correspond to authenticity, integrity and usability, and the travel and residence characteristics correspond to safety, ecology, landscape, climate, transportation, life, accommodation, humanities and health.

[0067] The first weight calculation unit 1042 is used to calculate the first weight corresponding to each characteristic layer indicator and the criterion layer indicator according to the feedback data corresponding to the comparative importance of the characteristic layer indicator and the criterion layer indicator.

[0068] The feedback data corresponding to the comparative importance of the characteristic layer indicators is the evaluation results of the importance of each expert on the characteristic layer indicators. The first weight calculation unit 1042 constructs the corresponding characteristic layer judgment matrix according to the evaluation results of the importance of the characteristic layer indicators, and calculates the first weight corresponding to the characteristic layer indicators according to the characteristic layer judgment matrix.

[0069] Among them, the feature layer judgment matrix A corresponding to expert A C The expression is:

[0070]

[0071] a cd =1 / a dc ,

[0072] Where d≤c, a cd It is the corresponding value after the expert A's evaluation result of the importance of the c-th characteristic layer indicator compared with the d-th characteristic layer indicator.

[0073] The first weight corresponding to the characteristic layer index is the average of the characteristic layer weight values ​​corresponding to all experts. The characteristic layer weight value is the average value of all elements of the row corresponding to the characteristic layer index in the characteristic layer judgment matrix after normalization of each column of the characteristic layer judgment matrix corresponding to the expert.

[0074] The feedback data corresponding to the comparative importance of the criterion layer indicators are the evaluation results of the importance of the two criterion layer indicators by each expert. The first weight calculation unit 1042 constructs the criterion layer judgment matrix corresponding to each characteristic layer indicator according to the evaluation results of the importance of the criterion layer indicators, and calculates the first weight corresponding to the corresponding criterion layer indicator according to each criterion layer judgment matrix.

[0075] Among them, the criterion layer judgment matrix corresponding to the i-th characteristic layer indicator corresponding to expert A is The expression is:

[0076]

[0077] a nm =1 / a mn ,

[0078] Where n is the total number of criterion layer indicators corresponding to the i-th characteristic layer indicator, m≤n, a nm It is the corresponding value after the expert A's evaluation result of the importance of comparing the nth criterion layer indicator with the mth criterion layer indicator is transformed.

[0079] The first weight corresponding to the criterion layer indicator is the average of the criterion layer weight values ​​corresponding to all experts. The criterion layer weight value is the average value of all elements of the row corresponding to the criterion layer indicator in the criterion layer judgment matrix after normalization of each column of the criterion layer judgment matrix corresponding to the criterion layer indicator corresponding to the expert.

[0080] In this embodiment, the first weight calculation unit 1042 further calculates a consistency index according to the first weight, and when the consistency index is less than a consistency threshold, the corresponding characteristic layer judgment matrix or criterion layer judgment matrix is ​​reconstructed. In this embodiment, the consistency threshold is 0.1.

[0081] Among them, expert A corresponds to the criterion layer judgment matrix The calculation expression of the consistency index CI is:

[0082]

[0083] In the formula for, is the criterion layer judgment matrix The first weight corresponding to the kth criterion layer indicator in .

[0084] The second weight calculation unit 1043 is used to calculate the second weight corresponding to each characteristic layer indicator and criterion layer indicator according to each indicator data corresponding to each historical and cultural city in the pre-processed data.

[0085] Among them, the calculation expression of the second weight is:

[0086]

[0087] d i =1-E i ,

[0088]

[0089] Where X ui is the specific value of the i-th indicator in the indicator data of the u-th historical and cultural city, is the minimum value of the ith indicator, is the maximum value of the ith indicator, U is the total number of historical and cultural cities, is the second weight of the i-th indicator.

[0090] The final weight calculation unit 1044 is used to calculate the corresponding final weight for each characteristic layer index and criterion layer index according to the corresponding first weight and second weight in combination with key parameters.

[0091] Among them, the calculation expression of the final weight is:

[0092] W=α·W AHP +(1-α)·W E ,

[0093] Where W is the final weight, W AHP is the first weight, W E is the second weight.

[0094] The residence score calculation unit 1045 is used to calculate the corresponding residence score of each historical and cultural city according to the corresponding indicator data and the final weight as the residence evaluation result.

[0095] In this embodiment, the index data in the travel score calculation unit 1045 has been normalized, and the original data is converted into index scores to eliminate the dimensional influence between different indicators, and different normalization methods are used according to different changes and distribution trends of different index data.

[0096] The visualization interaction module 105 is used to receive instructions input by the user and display to the user the data generated by the comprehensive ranking application module 106, the geographic distribution application module 107 or the type analysis application module 108 according to the instructions.

[0097] The comprehensive ranking application module 106 is used to generate a ranking list of the top 50 historical and cultural cities according to the sojourn scores, a ranking list of first-tier, second-tier, and third-tier cities, and comparative data on criterion-level indicators of multiple historical and cultural cities.

[0098] The geographic distribution application module 107 is used to visualize and analyze the geographic distribution patterns of residents in first-tier, second-tier, and third-tier cities in China based on the geographic location information of each historical and cultural city.

[0099] The type analysis application module 108 is used to discover different types of famous cities for residence based on the scores of the criterion layer indicators of historical and cultural cities through a cluster analysis algorithm, such as the prosperous city type, which is extremely prominent in indicators related to urban living facilities such as health, transportation, life, and accommodation; the ancient city type, which is a city with good urban living facilities and outstanding humanities and city-related characteristics.

[0100] The control module 109 stores a control program for controlling the operation of each module.

[0101] The following describes the process of evaluating the residence in a historical and cultural city using the historical and cultural city residence evaluation system 100 in conjunction with the accompanying drawings.

[0102] Figure 5 It is a schematic diagram of the process of evaluating the residence in a historical and cultural city in an embodiment of the present invention.

[0103] like Figure 5 As shown in the figure, the evaluation of living in a historical and cultural city includes the following steps:

[0104] Step T1, using the underlying data module 102 to collect historical and cultural city data in real time and perform preprocessing to obtain preprocessed data.

[0105] Step T2, using the indicator generation unit 1041 to generate an indicator importance scoring questionnaire based on the preprocessed data, and generating target layer indicators, characteristic layer indicators and criterion layer indicators based on the feedback data and key parameters corresponding to the indicator importance scoring questionnaire.

[0106] Step T3: the first weight calculation unit 1042 is used to calculate the first weight corresponding to each characteristic layer indicator and the criterion layer indicator according to the feedback data corresponding to the comparative importance of the characteristic layer indicator and the criterion layer indicator.

[0107] Step T4, using the second weight calculation unit 1043 to calculate the second weight corresponding to each characteristic layer index and criterion layer index according to each index data corresponding to each historical and cultural city in the pre-processed data.

[0108] Step T5, using the final weight calculation unit 1044 to calculate the corresponding final weight for each characteristic layer index and criterion layer index according to the corresponding first weight and second weight in combination with the key parameters.

[0109] Step T6, using the residence score calculation unit 1045 to calculate the corresponding residence score for each historical and cultural city according to the corresponding indicator data and the final weight as the residence evaluation result.

[0110] In this embodiment, 10 experts, including 2 experts from government departments, 2 experts from tourism enterprises, 2 experts from academia, and 4 expert-level users, use the historical and cultural city residence evaluation system 100 to conduct residence evaluation on a total of 143 historical and cultural cities promulgated by the State Council of the People's Republic of China as of March 15, 2023.

[0111] Figure 6 It is a radar map of some historical and cultural cities in the embodiment of the present invention.

[0112] like Figure 6 As shown in the figure, the radar chart shows the numerical distribution of each historical and cultural city in 10 indicators, namely, famous city, safety, ecology, landscape, climate, transportation, life, accommodation, humanities and health, and shows the final calculated travel score, and ranks according to the travel score. For example, the travel score of Xi'an, which ranks 5th, is 89.93 points.

[0113] Functions and Effects of the Embodiments

[0114] According to the historical and cultural city travel evaluation system involved in this embodiment, first, the indicator generation unit generates an indicator importance scoring questionnaire according to all historical and cultural city travel evaluation related indicators, and according to the feedback data of experts and the average threshold and standard deviation threshold, through three rounds of iteration, multiple indicators that can accurately and comprehensively reflect the characteristics of historical and cultural cities are obtained, and an evaluation system is established; second, through the first weight calculation unit, the second weight calculation unit and the final weight calculation unit, the final weight that can reflect the hierarchical relationship of upper and lower indicators, the mutual relationship of indicators at the same level, and the proportion of indicators in the indicator data is calculated, so as to achieve accurate measurement and quantification of the weight of each indicator; third, the travel score calculation unit is used to obtain the travel score according to the final weight of each indicator and each indicator data, so as to summarize the data corresponding to the indicators of each dimension, so as to fully reflect the evaluation results of the corresponding historical and cultural cities. In short, this system can comprehensively and accurately obtain the evaluation results of historical and cultural cities.

[0115] Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A historical and cultural city travel evaluation system, used to obtain the travel evaluation results of historical and cultural cities, characterized in that: include: Evaluation end; A plurality of expert terminals are respectively connected to the evaluation terminal for communication and are respectively held by the experts. Wherein, the evaluation end includes: An evaluation side data transmission module, used to send data to the expert side and receive data sent by the expert side; The underlying data module is used to collect historical and cultural city data in real time and pre-process it to obtain pre-processed data; An expert knowledge intervention module, used for storing key parameters and feedback data sent by each of the experts through the expert terminal; Travel evaluation algorithm module, The travel evaluation algorithm module includes: An indicator generation unit, used to generate an indicator importance scoring questionnaire according to the preprocessed data, and generate a target layer indicator, a characteristic layer indicator and a criterion layer indicator according to the feedback data and the key parameters corresponding to the indicator importance scoring questionnaire; A first weight calculation unit, configured to calculate first weights corresponding to the characteristic layer indicators and the criterion layer indicators according to the feedback data corresponding to the comparative importance of the characteristic layer indicators and the criterion layer indicators; A second weight calculation unit, configured to calculate, according to the index data corresponding to each of the historical and cultural cities in the preprocessed data, a second weight corresponding to each of the characteristic layer indexes and the criterion layer indexes; A final weight calculation unit, configured to calculate the corresponding final weight for each of the characteristic layer indicators and the criterion layer indicators according to the corresponding first weight and the second weight in combination with the key parameter; The residence score calculation unit is used to calculate the corresponding residence score of each of the historical and cultural cities according to the corresponding indicator data and the final weight as the residence evaluation result.

2. According to the historical and cultural city travel evaluation system of claim 1, Features: in, The pre-processed data includes various historical and cultural city travel evaluation related indicators extracted from the historical and cultural city data. The process of generating the target layer indicator, the characteristic layer indicator and the criterion layer indicator comprises the following steps: Step S1, the indicator generation unit generates a first indicator importance scoring questionnaire based on all the historical and cultural city residence evaluation related indicators and the Likert scale; Step S2, the evaluation side data transmission module sends the first indicator importance scoring questionnaire to each of the expert terminals, and receives corresponding first feedback data; Step S3, the indicator generation unit calculates the average importance and importance standard deviation corresponding to each of the historical and cultural city residence evaluation related indicators according to the first feedback data; Step S4, the indicator generation unit selects a plurality of indicators related to the evaluation of living in the historical and cultural city as the first indicator according to all the average importance, the importance standard deviation and the key parameters; Step S5, the indicator generation unit generates a second indicator importance rating questionnaire based on the indicators related to the historical and cultural city residence evaluation except all the first indicators and in combination with the Likert scale; Step S6, the evaluation side data transmission module sends the second indicator importance scoring questionnaire to each of the expert terminals, and receives corresponding second feedback data; Step S7, the indicator generation unit calculates the average importance and the importance standard deviation corresponding to each of the historical and cultural city residence evaluation related indicators according to the second feedback data; Step S8, the indicator generation unit selects a plurality of indicators related to the evaluation of residence in historical and cultural cities as the second indicator according to the average importance and the importance standard deviation of all the indicators related to the evaluation of residence in historical and cultural cities and the key parameters; Step S9, the indicator generation unit generates a third indicator importance rating questionnaire based on the indicators related to the historical and cultural city residence evaluation except all the first indicators and the second indicators, combined with the Likert scale; Step S10, the evaluation side data transmission module sends the third indicator importance scoring questionnaire to each of the expert terminals, and receives corresponding third feedback data; Step S11, the indicator generation unit calculates the average importance and the importance standard deviation corresponding to each of the historical and cultural city residence evaluation related indicators according to the third feedback data; Step S12, the indicator generation unit selects a plurality of indicators related to the evaluation of residence in historical and cultural cities as the third indicator according to the average importance and the importance standard deviation of all the indicators related to the evaluation of residence in historical and cultural cities and the key parameters; In step S13, the index generating unit sets all the first indexes, the second indexes and the third indexes as the target layer indexes, the characteristic layer indexes and the criterion layer indexes respectively.

3. The historical and cultural city residence evaluation system according to claim 2 is characterized by: in, The average importance of indicator i The calculation expression is: Where r ij is the score of the jth expert on indicator i in the feedback data, k is the total number of experts, The importance standard deviation s of indicator i i The calculation expression is:

4. The historical and cultural city travel evaluation system according to claim 2 is characterized by: in, The key parameters include the average threshold and the standard deviation threshold, In the step S4, the historical and cultural city residence evaluation related index whose average importance is greater than or equal to the average threshold and whose importance standard deviation is less than or equal to the standard deviation threshold is used as the first index. In the step S8, the first indicator whose average importance is greater than or equal to the average threshold and whose importance standard deviation is less than or equal to the standard deviation threshold is used as the second indicator. In the step S12, the second indicator whose average importance is greater than or equal to the average threshold and whose importance standard deviation is less than or equal to the standard deviation threshold is used as the third indicator.

5. The historical and cultural city travel evaluation system according to claim 1 is characterized by: in, The target layer index is 1, the characteristic layer index is c, and the criterion layer index is p. Each of the criterion layer indicators corresponds to a specific one of the characteristic layer indicators. Each of the characteristic layer indicators has at least one corresponding criterion layer indicator. The feedback data corresponding to the comparative importance of the characteristic layer indicators are evaluation results of the importance of the characteristic layer indicators pairwise by each expert. The feedback data corresponding to the comparative importance of the criterion layer indicators are evaluation results of the importance of the criterion layer indicators pairwise by each expert. The first weight calculation unit constructs a corresponding characteristic layer judgment matrix according to the importance evaluation result corresponding to the characteristic layer indicator, and calculates the first weight corresponding to the characteristic layer indicator according to the characteristic layer judgment matrix. The first weight calculation unit constructs a criterion layer judgment matrix corresponding to each of the characteristic layer indicators according to the importance evaluation results corresponding to the criterion layer indicators, and calculates the first weight corresponding to the corresponding criterion layer indicator according to each of the criterion layer judgment matrices.

6. The historical and cultural city residence evaluation system according to claim 5 is characterized by: in, The feature layer judgment matrix A corresponding to expert A C The expression is: a cd =1 / a dc , Where d≤c, a cd is the value corresponding to the converted evaluation result of the importance of the c-th characteristic layer indicator and the d-th characteristic layer indicator by expert A, The criterion layer judgment matrix corresponding to the i-th characteristic layer indicator corresponding to expert A The expression is: a nm =1 / a mn , Where n is the total number of criterion layer indicators corresponding to the i-th characteristic layer indicator, m≤n, a nm is the value corresponding to the transformed evaluation result of the importance of the nth criterion level indicator and the mth criterion level indicator by expert A, The first weight corresponding to the characteristic layer index is the average of the characteristic layer weight values ​​corresponding to all experts. The characteristic layer weight value is the average value of all elements of the row corresponding to the characteristic layer indicator in the characteristic layer judgment matrix after normalization processing is performed on each column of the characteristic layer judgment matrix corresponding to the expert. The first weight corresponding to the criterion layer indicator is the average of the criterion layer weight values ​​corresponding to all experts. The criterion layer weight value is the average value of all elements of the row corresponding to the criterion layer indicator in the criterion layer judgment matrix after normalization processing is performed on each column of the criterion layer judgment matrix corresponding to the criterion layer indicator corresponding to the expert.

7. The historical and cultural city travel evaluation system according to claim 6 is characterized by: in, Calculate the consistency index according to the first weight, and when the consistency index is less than the consistency threshold, reconstruct the corresponding characteristic layer judgment matrix or the criterion layer judgment matrix, Expert A's corresponding criterion layer judgment matrix The calculation expression of the consistency index CI is: In the formula for, is the criterion layer judgment matrix The first weight corresponding to the kth criterion layer indicator in .

8. The historical and cultural city residence evaluation system according to claim 1 is characterized by: in, The calculation expression of the second weight is: d i =1-E i , Where X ui is the specific value of the i-th indicator in the indicator data of the u-th historical and cultural city, is the minimum value of the ith indicator, is the maximum value of the ith indicator, U is the total number of historical and cultural cities, is the second weight of the i-th indicator.

9. The historical and cultural city travel evaluation system according to claim 1 is characterized by: in, The key parameters include adjustment coefficient α, The calculation expression of the final weight is: W=α·W AHP +(1-a)·W E , Where W is the final weight, W AHP is the first weight, W E is the second weight.

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