CN111353130A - Historical culture block space quality evaluation method - Google Patents
Historical culture block space quality evaluation method Download PDFInfo
- Publication number
- CN111353130A CN111353130A CN202010087134.7A CN202010087134A CN111353130A CN 111353130 A CN111353130 A CN 111353130A CN 202010087134 A CN202010087134 A CN 202010087134A CN 111353130 A CN111353130 A CN 111353130A
- Authority
- CN
- China
- Prior art keywords
- satisfaction
- perception
- latent variables
- degree
- space
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000013441 quality evaluation Methods 0.000 title claims abstract description 9
- 238000013210 evaluation model Methods 0.000 claims abstract description 16
- 230000000694 effects Effects 0.000 claims abstract description 15
- 230000008447 perception Effects 0.000 claims description 64
- 238000010586 diagram Methods 0.000 claims description 14
- 230000006870 function Effects 0.000 claims description 8
- 230000000007 visual effect Effects 0.000 claims description 4
- 230000019771 cognition Effects 0.000 claims description 3
- 230000000052 comparative effect Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000014759 maintenance of location Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 2
- 238000011156 evaluation Methods 0.000 abstract description 12
- 238000011161 development Methods 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 5
- 239000000126 substance Substances 0.000 abstract description 4
- 230000003993 interaction Effects 0.000 abstract description 3
- 238000012797 qualification Methods 0.000 abstract description 3
- 238000011002 quantification Methods 0.000 abstract description 3
- 238000011160 research Methods 0.000 description 14
- 238000012360 testing method Methods 0.000 description 9
- 238000004458 analytical method Methods 0.000 description 7
- 238000004590 computer program Methods 0.000 description 7
- 238000011835 investigation Methods 0.000 description 5
- 230000006399 behavior Effects 0.000 description 4
- 238000007689 inspection Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 3
- VHMWJVAFPCGUTJ-AWEZNQCLSA-N 2-[[(2s)-2-[bis(carboxymethyl)amino]-3-(4-isothiocyanatophenyl)propyl]-(carboxymethyl)amino]acetic acid Chemical compound OC(=O)CN(CC(O)=O)C[C@@H](N(CC(O)=O)CC(O)=O)CC1=CC=C(N=C=S)C=C1 VHMWJVAFPCGUTJ-AWEZNQCLSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003340 mental effect Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000000513 principal component analysis Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000001303 quality assessment method Methods 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Mathematical Optimization (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Primary Health Care (AREA)
- Human Resources & Organizations (AREA)
- Evolutionary Biology (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Operations Research (AREA)
- Life Sciences & Earth Sciences (AREA)
- Educational Administration (AREA)
- Algebra (AREA)
- Game Theory and Decision Science (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to a historical culture block space quality evaluation method, which comprises the steps of determining an initial model by setting latent variables and display variables, determining a final evaluation model and weights by checking, and obtaining an evaluation value by the weights and questionnaires. The method provides technical support and data sources for the resident satisfaction survey through quantification and qualification, and provides basis for the gradual updating planning activity of the historical culture block. The invention is helpful to deeply explore the interaction between people and substance environment in the process of developing and changing cities, thereby further optimizing the development quality of cities.
Description
Technical Field
The application belongs to the field of urban space quality analysis and evaluation, and particularly relates to a historical culture block space quality evaluation method.
Background
The urban quality is a comprehensive reflection of the urban external space environment and the internal humanity spirit, and is a composition of the urban environment quality in the material space and the mental perception of the user in the space environment. The good urban quality not only concerns the building of beautiful human living environment and the improvement of urban living quality, but also is beneficial to improving the comprehensive competitiveness of cities, and has important significance in the aspects of promoting tourism development, cultural development and the like.
The historical cultural block is a place with strong spatial characteristics in a city, is the combination of the sociality, the culture and the historical property of the city and the behavior activities of people in the city space, not only embodies the traditional pattern and the style of the city history, but also generates more social values due to the continuous behavior activities of the crowd. The historical culture block concentrates the historical culture and the regional style and features of a city, and has more spiritual recognition compared with other spatial places and unique context meanings of the historical culture block throughout the updating and developing process of the city. The study and evaluation of the space quality of the historical cultural block are profound abnormities for the protection status of the historical cultural block and are also continuous exploration under the background of the era of urban inventory development.
The method is a pioneering work by taking the satisfaction degree of residents as a main basis to construct a comprehensive index system in multiple layers and modes, particularly combines a traditional satisfaction degree index structure model with multiple modern research methods, is comprehensively applied to the satisfaction degree research of residents, and has important significance for more objectively reflecting the space quality.
At present, the research on the measurement of the space quality of the historical culture block mainly focuses on the aspects of material environment protection, historical culture continuation and the like, the psychological perception and the requirement of human behavior on the environment are less related, most of the research is mainly qualitative research, namely, the characteristics of the historical culture block in the urban space are focused, the systematic concept connotation of the space quality of the historical culture block is not available, the research on the mutual relationship between people and the space is still to be further discussed, the evaluation measurement of the space quality is also in a qualitative stage, and the quantitative evaluation research of a complete framework is lacked.
Disclosure of Invention
The invention mainly aims to relatively accurately evaluate qualitative influence factors which are difficult to estimate in analysis and evaluation, and provides a method for evaluating the spatial quality of a historical culture block.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a historical culture block spatial quality evaluation method comprises the following steps:
s1: determining latent variables which are directly or indirectly related to the space quality satisfaction degree of the historical cultural block, determining the correlation among the latent variables, and establishing an initial model comprising the latent variables and connection paths among the latent variables;
s2: according to the characteristics of the historical cultural block, determining a display variable which replaces each latent variable and can be directly measured;
s3: constructing a questionnaire according to the display variables, carrying out questionnaire on residents in the historical culture block, carrying out statistics to obtain questionnaire survey results, and optimizing an initial model according to the survey results to obtain a final evaluation model;
s4, determining the weight values of all latent variables according to the correlation between the questionnaire survey results and the latent variables;
s5: and calculating to obtain a space quality satisfaction value according to the satisfaction values of all latent variables in the questionnaire survey results and the satisfaction values and the weights of the latent variables.
Preferably, according to the method for evaluating the spatial quality of the historic culture block, the latent variables comprise: the traffic can reach satisfaction, space applicability satisfaction, context continuation satisfaction, self perception, space perception, cultural perception and resident satisfaction.
Preferably, in the method for evaluating the spatial quality of the historical culture neighborhood, the correlation between the latent variables is as follows:
the traffic satisfaction degree and the resident satisfaction degree are in positive correlation;
the traffic achievable satisfaction and the space applicability satisfaction are in positive correlation;
the traffic satisfaction degree and the self perception are in positive correlation;
the traffic satisfaction degree and the spatial perception are in positive correlation;
the space applicability satisfaction and the resident satisfaction are in positive correlation;
the space application satisfaction degree and the self perception are in positive correlation;
the space application satisfaction degree and the space perception are in positive correlation;
the degree of satisfaction of the continuation of the context and the degree of satisfaction of residents are in positive correlation;
the degree of satisfaction of the continuation of the context and the self-perception are in positive correlation;
the degree of satisfaction of the continuation of the context and the spatial perception are in positive correlation;
the degree of satisfaction of the continuation of the context and the cultural perception are in positive correlation;
the self-perception and the satisfaction degree of residents are in positive correlation;
the self-perception and the spatial perception are in positive correlation;
the self perception and the cultural perception are in positive correlation;
the space perception and the satisfaction degree of residents are in positive correlation;
the space perception and the culture perception are in positive correlation;
the culture perception and the satisfaction degree of residents have positive correlation.
Preferably, the method for evaluating the spatial quality of the historical culture block,
the total number of the latent variables contained in the latent variables is 28;
wherein the traffic satisfaction degree comprises: the traffic mode is diversified, the intelligent traffic is rich, the parking management is reasonable, and the traffic service facilities are complete;
wherein the space suitability satisfaction degree comprises: the number of the activity spaces, the quality of the activity spaces, the maintenance of the space environment, the operation of space facilities, the level of space greening and the abundance of space furniture;
wherein the degree of satisfaction of the continuation of the context comprises: building texture harmony degree, street lane texture integrity degree, view range and appearance consistency and street range scale suitability;
wherein self-perception comprises: location attribution perception, visual image perception and psychological identification perception;
wherein the spatial perception comprises: the street style is appropriate, the view field of the street is unobstructed, the public service facilities are perfect, the recreation service facilities are perfect, and the arrangement of barrier-free facilities is perfect;
wherein cultural perceptions include: the method comprises the steps of block historical landscape originality, block cultural feature cognition and block historical function retention.
The satisfaction degree of residents mainly comprises: overall satisfaction, comparative satisfaction, expected satisfaction.
Preferably, the method for evaluating the spatial quality of the historical culture block,
and (3) designing meters aiming at 28 display variables in the 9 latent variables, and forming a measurable meter of the space quality influence factor of the degree of satisfaction of residents to obtain a questionnaire by adopting a Lekter grade 5 meter form.
Preferably, the method for evaluating the spatial quality of the historical culture block,
questionnaires develop in the form of scoring the satisfaction of the explicit variable, scoring as a quantified score value.
Preferably, the method for evaluating the spatial quality of the historical culture block,
the output result of the final evaluation model comprises a model path diagram after correction, path coefficient relation and direction among all latent variables and influence coefficients among all the latent variables and space quality satisfaction.
Preferably, the method for evaluating the spatial quality of the historical culture block,
and in the step of S3, path coefficients among the latent variables are estimated according to the variance and covariance of the latent variables by software, and a final evaluation model is generated by deleting the insignificant paths, adding the two-way covariance relationship among the latent variables and the one-way path coefficients among the latent variables to the initial model to improve the fitting effect of the initial model.
Preferably, according to the historical culture block space quality evaluation method, the influence coefficient between each latent variable and the space quality satisfaction degree is output through the final evaluation model, and the influence coefficient is used as the weight value of each latent variable.
Preferably, the method for evaluating the spatial quality of the historical culture block,
the step S5 specifically includes:
summarizing all questionnaire surveys, counting questionnaire survey results, and calculating the average score value of each display variable;
adding the average score values of all the displayed variables corresponding to the latent variables and dividing the average score values by the number of the displayed variables corresponding to the latent variables to obtain the satisfaction value of the latent variables;
multiplying the satisfaction degree values of all the latent variables by the weight corresponding to the latent variables to obtain the satisfaction degree value of the space quality;
or
And multiplying the satisfaction degree values of all the latent variables by the weight corresponding to the latent variables, and dividing the result by the number of the latent variables to obtain the space quality satisfaction degree value.
The invention has the beneficial effects that:
the invention relates to a historical culture block space quality evaluation method, which determines an initial model by setting latent variables and display variables, determines a final evaluation model and a weight by checking, and finally obtains an evaluation value by the weight and an investigation questionnaire value. The method provides technical support and data sources for the resident satisfaction survey through quantification and qualification, and provides basis for the gradual updating planning activity of the historical culture block. The invention is helpful to deeply explore the interaction between people and substance environment in the process of developing and changing cities, thereby further optimizing the development quality of cities.
Drawings
The technical solution of the present application is further explained below with reference to the drawings and the embodiments.
FIG. 1 is a gauge design for the structural equation model of the present invention;
FIG. 2 is a basic relationship between structural equation model variables of the present invention;
FIG. 3 is a basic form of a path diagram of the structural equation model of the present invention;
FIG. 4 is a diagram of an initial theoretical model of spatial quality of a historical neighborhood.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The technical solutions of the present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Examples
The embodiment provides a method for evaluating the spatial quality of a historical culture neighborhood, as shown in fig. 1, comprising the following steps:
s1: determining latent variables which are directly or indirectly related to the space quality satisfaction degree of the historical cultural block, determining the correlation among the latent variables, and establishing an initial model comprising the latent variables and connection paths among the latent variables;
through researching domestic and foreign documents about the satisfaction degree of residents, on the basis of consulting a customer satisfaction index model, the relation between human behavior and activity and objective substance environment is mainly researched by consulting Yang-Geer 'communication and space', the setting of latent variables, the definition of Kaiwen-Linqi in city form to city space, the research method of weekly public space quality assessment, theories such as a human residence environment satisfaction degree evaluation index system established in a floating way and the like are considered, and 7 latent variables directly or indirectly related to the satisfaction degree of the space quality of a historical cultural block are provided by combining the characteristics of the historical cultural block: the traffic can reach satisfaction, space applicability satisfaction, context continuation satisfaction, self perception, space perception, cultural perception, resident satisfaction and the correlation thereof;
the interrelationship between the latent variables is:
h1a, the traffic satisfaction degree and the resident satisfaction degree are in positive correlation;
h1b, the traffic satisfaction degree and the space application satisfaction degree are in positive correlation;
h1c, the traffic satisfaction degree and self perception are in positive correlation;
h1d, the traffic satisfaction degree and the spatial perception are in positive correlation;
h2a, the space applicability satisfaction and the resident satisfaction are in positive correlation;
h2b, the space applicability satisfaction and self perception are in positive correlation;
h2c, the space applicability satisfaction and the space perception are in positive correlation;
h3a, the continuation satisfaction of the venation and the satisfaction of residents are in positive correlation;
h3b, the continuation satisfaction of the context and the self-perception are in positive correlation;
h3c, the continuation satisfaction of the context and the spatial perception are in positive correlation;
h3d, the continuation satisfaction of the context and the cultural perception are in positive correlation;
h4a, the self-perception and the satisfaction degree of residents are in positive correlation;
h4b, the self-perception and the spatial perception are in positive correlation;
h4c, the self-perception and the cultural perception are in positive correlation;
h5a, the spatial perception and the satisfaction degree of residents have positive correlation;
h5b, positive correlation between spatial perception and cultural perception;
h6a positive correlation between cultural perception and satisfaction of residents.
Constructing an initial model comprising a connecting path between the latent variables and the latent variables on the SPSS-amos software on the basis of the mutual relation of the latent variables and the latent variables;
s2: according to the characteristics of the historical cultural block, determining a display variable which replaces each latent variable and can be directly measured;
and (3) referring to and referring to relevant documents at home and abroad, and according to the characteristics of the historical cultural block, using the directly-measurable explicit variables to respectively replace the meanings of the latent variables, wherein the number of the explicit variables contained in each latent variable is 28.
Wherein the traffic satisfaction degree comprises: the traffic mode is diversified, the intelligent traffic is rich, the parking management is reasonable, and the traffic service facilities are perfect.
Wherein the space suitability satisfaction degree comprises: the number of the activity spaces, the quality of the activity spaces, the maintenance of the space environment, the operation of space facilities, the level of space greening and the abundance of space furniture.
Wherein the degree of satisfaction of the continuation of the context comprises: building texture harmony degree, street lane texture integrity degree, visual field range and appearance consistency and street range scale suitability.
Wherein self-perception comprises: location affiliation perception, visual image perception, and psychological identity perception.
Wherein the spatial perception comprises: the street style is suitable, the street view is unobstructed, the public service facilities are perfect, the recreation service facilities are perfect, and the arrangement of barrier-free facilities is perfect.
Wherein cultural perceptions include: the method comprises the steps of block historical landscape originality, block cultural feature cognition and block historical function retention.
The satisfaction degree of residents mainly comprises: overall satisfaction, comparative satisfaction, expected satisfaction.
Table 2 summary of latent variables and their corresponding explicit variables and descriptive indicators:
s3: constructing a questionnaire according to the display variables, carrying out questionnaire on residents in the historical culture block, carrying out statistics to obtain questionnaire survey results, and optimizing an initial model according to the survey results to obtain a final evaluation model;
the method specifically comprises the following steps:
the method comprises the steps that meters are designed for 28 display variables in 9 latent variables, a Likter grade 5 meter form is adopted, a measurable meter of a resident satisfaction degree space quality influence factor is formed to obtain a questionnaire, the questionnaire is developed by grading the satisfaction degree of the display variables to form a quantitative score value, the score value is 1-5, 5 represents very satisfactory, and 1 represents very unsatisfactory;
if necessary, pre-investigation can be carried out to optimize the questionnaire, pre-measurement analysis is carried out on questionnaire data of the pre-investigation after the pre-investigation, the two parts comprise validity analysis and reliability analysis, KMO value (more than 0.7), Krebs α coefficient (more than 0.6) and the like are used as evaluation indexes of questionnaire quality inspection, after the evaluation indexes of questionnaire quality inspection are calculated and analyzed by SPSS software, variables with weak correlation are removed, and for latent variables which are not enough to comprehensively and effectively reflect the content of the latent variables, explicit variables are added until the latent variables meet the standard, or the latent variables are deleted from the model;
the questionnaires are issued to residents in a historical culture block for investigation and filling, a sufficient number of effective questionnaires are obtained, and data of the questionnaires are counted;
and carrying out credibility and validity check on the statistical data to ensure the validity of the data.
The method is suitable for reliability analysis of questionnaires in the forms of attitudes, opinions and the like and accords with the research content of the research, and when the method is used for reliability analysis, the indexes which can be used for evaluating the reliability degree of a single index have two values of CITC and α, wherein the CITC requirement is more than 0.5, and the α value is preferably more than 0.7, and if the values of the indexes are less than the limit values in the actual research, the indexes need to be deleted or modified.
The validity refers to the closeness of the measured value and the actual value obtained by the research. If the measured value obtained by research has higher validity, the measured result can show the real characteristics of the object to be measured, and the main functions are to detect the sufficiency of the collected sample and check the magnitude of the partial correlation among the variables, namely whether the collected data are suitable to be analyzed by a factor analysis method. And (3) carrying out principal component analysis on the index by using SPSS software, carrying out KMO and Bartlett sphere inspection on the index, selecting a method with a characteristic value larger than 1 when extracting the factor, and carrying out factor rotation by adopting a maximum variance method to verify the classification of the index and define the factor.
In addition, the standard error, the critical ratio (C.R), the P value and the fitting degree index are used as evaluation indexes of model demonstration test, the significance degree of the relation between variables in the model and the better matching and fitting degree of the model and the demonstration data are tested, and the preliminary test of the research model is carried out.
And estimating path coefficients among the latent variables by software according to the variance and the covariance of the latent variables, and reflecting the magnitude and the direction of the influence among the latent variables. And (3) testing and evaluating indexes by combining model demonstration: the standard error S.E value is not negative, the critical ratio C.R is more than 2, the test value P is not less than 0.05 and is not significant, the test value P is less than 0.05 and is significant, the test value P is less than 0.01 and is very significant, and the non-significant path is deleted according to the test result of the significance of the model path.
The fitting effect of the model is improved by deleting the insignificant paths, adding the two-way covariance relationship between latent variables in the model and the one-way path coefficients between the variables. And deleting two insignificant paths, adding the covariance relationship between variables according to the model output result, and then carrying out model test again. When all paths in the model meet the requirements of inspection and evaluation indexes and the fitting degree of the model meets the standard, outputting the model as a final evaluation model;
the output result of the final evaluation model includes the corrected model path diagram, the study hypothesis test result, and the like. The model path diagram intuitively expresses the path coefficient relation and direction among the latent variables, and the variable relation can be further analyzed and understood.
Furthermore, the correlation between the latent variables can be seen, the influence coefficients thereof mean the mutual relations between the latent variables, and the influence degree of different latent variables on the satisfaction degree of the space quality can be found.
S4, determining the weight values of all latent variables according to the correlation between the questionnaire survey results and the latent variables;
outputting an influence coefficient between each latent variable and the space quality satisfaction degree through a final evaluation model, and taking the influence coefficient as a weight value (in omega) of each latent variableiI is the ith latent variable, i is a positive integer of 1-7 and is a latent variable reserved in the final evaluation model), and the influence coefficient represents that the latent variable is emptyThe magnitude of the influence of inter-quality satisfaction means that the latent variable has the most direct influence on the spatial quality in this model.
S5: and calculating to obtain a space quality satisfaction value according to the satisfaction values of all latent variables in the questionnaire survey results and the satisfaction values and the weights of the latent variables.
The method specifically comprises the following steps:
summarizing all questionnaires, counting questionnaire survey results, and calculating the average score value of each display variable (i.e. adding the score values of the individual display variables in all questionnaires and dividing the sum by the number of questionnaires);
adding the average score values of all the displayed variables corresponding to the latent variables and dividing the average score values by the number of the displayed variables corresponding to the latent variables to obtain the satisfaction value of the latent variables;
and multiplying the satisfaction degree values of all the latent variables by the weight corresponding to the latent variables to obtain the space quality satisfaction degree value.
Or
And multiplying the satisfaction degree values of all the latent variables by the weight corresponding to the latent variables, and dividing the result by the number of the latent variables to obtain the space quality satisfaction degree value.
In light of the foregoing description of the preferred embodiments according to the present application, it is to be understood that various changes and modifications may be made without departing from the spirit and scope of the invention. The technical scope of the present application is not limited to the contents of the specification, and must be determined according to the scope of the claims.
The embodiment is a historical culture block space quality evaluation method, an initial model is determined by setting the formation of latent variables and display variables, a final evaluation model and weights are determined by checking, and finally an evaluation value is obtained through the weights and questionnaires. The method provides technical support and data sources for the resident satisfaction survey through quantification and qualification, and provides basis for the gradual updating planning activity of the historical culture block. The invention is helpful to deeply explore the interaction between people and substance environment in the process of developing and changing cities, thereby further optimizing the development quality of cities.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (10)
1. A historical culture block spatial quality evaluation method is characterized by comprising the following steps:
s1: determining latent variables which are directly or indirectly related to the space quality satisfaction degree of the historical cultural block, determining the correlation among the latent variables, and establishing an initial model comprising the latent variables and connection paths among the latent variables;
s2: according to the characteristics of the historical cultural block, determining a display variable which replaces each latent variable and can be directly measured;
s3: constructing a questionnaire according to the display variables, carrying out questionnaire on residents in the historical culture block, carrying out statistics to obtain questionnaire survey results, and optimizing an initial model according to the survey results to obtain a final evaluation model;
s4, determining the weight values of all latent variables according to the correlation between the questionnaire survey results and the latent variables;
s5: and calculating to obtain a space quality satisfaction value according to the satisfaction values of all latent variables in the questionnaire survey results and the satisfaction values and the weights of the latent variables.
2. The method of evaluating the spatial quality of historical cultural neighborhood according to claim 1, wherein the latent variable comprises: the traffic can reach satisfaction, space applicability satisfaction, context continuation satisfaction, self perception, space perception, cultural perception and resident satisfaction.
3. The method of claim 2, wherein the latent variables have a correlation between:
the traffic satisfaction degree and the resident satisfaction degree are in positive correlation;
the traffic achievable satisfaction and the space applicability satisfaction are in positive correlation;
the traffic satisfaction degree and the self perception are in positive correlation;
the traffic satisfaction degree and the spatial perception are in positive correlation;
the space applicability satisfaction and the resident satisfaction are in positive correlation;
the space application satisfaction degree and the self perception are in positive correlation;
the space application satisfaction degree and the space perception are in positive correlation;
the degree of satisfaction of the continuation of the context and the degree of satisfaction of residents are in positive correlation;
the degree of satisfaction of the continuation of the context and the self-perception are in positive correlation;
the degree of satisfaction of the continuation of the context and the spatial perception are in positive correlation;
the degree of satisfaction of the continuation of the context and the cultural perception are in positive correlation;
the self-perception and the satisfaction degree of residents are in positive correlation;
the self-perception and the spatial perception are in positive correlation;
the self perception and the cultural perception are in positive correlation;
the space perception and the satisfaction degree of residents are in positive correlation;
the space perception and the culture perception are in positive correlation;
the culture perception and the satisfaction degree of residents have positive correlation.
4. The method of evaluating the spatial quality of cultural historical block according to claim 3,
the total number of the latent variables contained in the latent variables is 28;
wherein the traffic satisfaction degree comprises: the traffic mode is diversified, the intelligent traffic is rich, the parking management is reasonable, and the traffic service facilities are complete;
wherein the space suitability satisfaction degree comprises: the number of the activity spaces, the quality of the activity spaces, the maintenance of the space environment, the operation of space facilities, the level of space greening and the abundance of space furniture;
wherein the degree of satisfaction of the continuation of the context comprises: building texture harmony degree, street lane texture integrity degree, view range and appearance consistency and street range scale suitability;
wherein self-perception comprises: location attribution perception, visual image perception and psychological identification perception;
wherein the spatial perception comprises: the street style is appropriate, the view field of the street is unobstructed, the public service facilities are perfect, the recreation service facilities are perfect, and the arrangement of barrier-free facilities is perfect;
wherein cultural perceptions include: the method comprises the steps of block historical landscape originality, block cultural feature cognition and block historical function retention.
The satisfaction degree of residents mainly comprises: overall satisfaction, comparative satisfaction, expected satisfaction.
5. The method of evaluating the spatial quality of cultural historical block according to claim 4,
and (3) designing meters aiming at 28 display variables in the 9 latent variables, and forming a measurable meter of the space quality influence factor of the degree of satisfaction of residents to obtain a questionnaire by adopting a Lekter grade 5 meter form.
6. The method of evaluating the spatial quality of cultural historical block according to claim 5,
questionnaires develop in the form of scoring the satisfaction of the explicit variable, scoring as a quantified score value.
7. The method of evaluating the spatial quality of cultural historical blocks according to claim 6,
the output result of the final evaluation model comprises a model path diagram after correction, path coefficient relation and direction among all latent variables and influence coefficients among all the latent variables and space quality satisfaction.
8. The method of evaluating the spatial quality of cultural historical block according to claim 7,
and in the step of S3, path coefficients among the latent variables are estimated according to the variance and covariance of the latent variables by software, and a final evaluation model is generated by deleting the insignificant paths, adding the two-way covariance relationship among the latent variables and the one-way path coefficients among the latent variables to the initial model to improve the fitting effect of the initial model.
9. The method of claim 8, wherein an influence coefficient between each latent variable and the satisfaction degree of the spatial quality is output through a final evaluation model, and the influence coefficient is used as a weight value of each latent variable.
10. The method of evaluating the spatial quality of cultural historical block according to claim 9,
the step S5 specifically includes:
summarizing all questionnaire surveys, counting questionnaire survey results, and calculating the average score value of each display variable;
adding the average score values of all the displayed variables corresponding to the latent variables and dividing the average score values by the number of the displayed variables corresponding to the latent variables to obtain the satisfaction value of the latent variables;
multiplying the satisfaction degree values of all the latent variables by the weight corresponding to the latent variables to obtain the satisfaction degree value of the space quality;
or
And multiplying the satisfaction degree values of all the latent variables by the weight corresponding to the latent variables, and dividing the result by the number of the latent variables to obtain the space quality satisfaction degree value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010087134.7A CN111353130A (en) | 2020-02-11 | 2020-02-11 | Historical culture block space quality evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010087134.7A CN111353130A (en) | 2020-02-11 | 2020-02-11 | Historical culture block space quality evaluation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111353130A true CN111353130A (en) | 2020-06-30 |
Family
ID=71194235
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010087134.7A Pending CN111353130A (en) | 2020-02-11 | 2020-02-11 | Historical culture block space quality evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111353130A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114971345A (en) * | 2022-06-08 | 2022-08-30 | 东南大学 | Quality measuring method, equipment and storage medium for built environment |
| CN116882831A (en) * | 2023-07-17 | 2023-10-13 | 苏州科技大学 | Urban historical cultural neighborhood public space vitality evaluation method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107392501A (en) * | 2017-08-10 | 2017-11-24 | 重庆大学 | The micro- interference method of historical preservation based on dynamic evaluation |
| CN107730112A (en) * | 2017-10-13 | 2018-02-23 | 常州工学院 | Livable City evaluation model based on analytic hierarchy process (AHP) |
| CN109583698A (en) * | 2018-10-29 | 2019-04-05 | 北京工业大学 | A kind of Urban Streets spatial shape comprehensive estimation method based on fuzzy mathematics theory |
-
2020
- 2020-02-11 CN CN202010087134.7A patent/CN111353130A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107392501A (en) * | 2017-08-10 | 2017-11-24 | 重庆大学 | The micro- interference method of historical preservation based on dynamic evaluation |
| CN107730112A (en) * | 2017-10-13 | 2018-02-23 | 常州工学院 | Livable City evaluation model based on analytic hierarchy process (AHP) |
| CN109583698A (en) * | 2018-10-29 | 2019-04-05 | 北京工业大学 | A kind of Urban Streets spatial shape comprehensive estimation method based on fuzzy mathematics theory |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114971345A (en) * | 2022-06-08 | 2022-08-30 | 东南大学 | Quality measuring method, equipment and storage medium for built environment |
| CN114971345B (en) * | 2022-06-08 | 2023-04-18 | 东南大学 | Quality measuring method, equipment and storage medium for built environment |
| CN116882831A (en) * | 2023-07-17 | 2023-10-13 | 苏州科技大学 | Urban historical cultural neighborhood public space vitality evaluation method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hoen et al. | Attitudes of US wind turbine neighbors: analysis of a nationwide survey | |
| Lutfi et al. | Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling | |
| Zhou et al. | Comparing aggregating methods for constructing the composite environmental index: An objective measure | |
| McCrea et al. | What is the strength of the link between objective and subjective indicators of urban quality of life? | |
| Tarí et al. | Levels of quality and environmental management in the hotel industry: Their joint influence on firm performance | |
| Li et al. | Revitalizing historic districts: Identifying built environment predictors for street vibrancy based on urban sensor data | |
| Gao | Public land leasing, public productive spending and economic growth in Chinese cities | |
| Araar et al. | Household incidence of pollution control policies: A robust welfare analysis using general equilibrium effects | |
| Hagedorn et al. | Unemployment benefits and unemployment in the Great Recession: The role of equilibrium effects | |
| CN111353130A (en) | Historical culture block space quality evaluation method | |
| Olugbara et al. | Evaluation of municipal e-government readiness using structural equation modelling technique | |
| Hülagü et al. | A hedonic house price index for Turkey | |
| Sun et al. | The relationship between urbanization and air pollution affected by intercity factor mobility: A case of the Yangtze River Delta region | |
| Bitok | Sustainable tourism and economic growth nexus in Kenya: policy implications for post-Covid-19 | |
| Pelletier et al. | Addressing uncertainty upstream or downstream of accounting for emissions reductions from deforestation and forest degradation | |
| Saad et al. | Investigating the reliability of building energy models: Comparative analysis of the impact of data pipelines and model complexities | |
| Kurth et al. | Evaluating changes in the emergency medical services workforce: A preliminary multistate study | |
| Mattia et al. | Contingent valuation method and market value: applying stated preference methods in real estate market | |
| Sælen et al. | Exploring public opposition and support across different climate policies: Poles apart? | |
| Hasanudin et al. | The implications of corporate social responsibility and firm performance with reputation as intervening variable empirical study in the manufacturing company in Indonesia | |
| CN114282951A (en) | Network retail prediction method, equipment and medium | |
| Ma et al. | A comparison of GIS-based methods for modelling walking accessibility of parks in Guangzhou considering different population groups | |
| Chang et al. | Structural relations of positive tourism impacts on residents’ attitude and support for tourism development in Jeju | |
| Goodspeed et al. | Crowdsourcing street beauty: Visual preference surveys in the big data era | |
| Guan | How to affect housing values: location, affordability and amenity |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |