CN108734409A - A kind of Mountainous City River side landscape suitability evaluation methods - Google Patents
A kind of Mountainous City River side landscape suitability evaluation methods Download PDFInfo
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Abstract
This application discloses a kind of Mountainous City River side landscape suitability evaluation methods, including：The assessment item information of evaluation goal is obtained, each assessment item information includes multiple evaluation index information；The evaluation index scoring of each evaluation index is calculated based on the evaluation index information；Evaluation criterion weight vector and assessment item weight vectors are determined using analytic hierarchy process (AHP)；Based on evaluation criterion weight vector, assessment item weight vectors and evaluation index scoring Calculation Estimation target optimal level comprehensive score.Technical solution disclosed in the present application can be directed to dynamic, the complexity feature of the changeable Mountainous City River side landscape of water level, horizontal from the overall condition and its comprehensive suitability of more scientific comprehensive angle description and reflection River side landscape.
Description
Technical field
This application involves Landscape landscape evaluation technical field more particularly to a kind of Mountainous City River side landscape suitabilities
Evaluation method.
Background technology
In Landscape landscape evaluation field, it is with expert assessment method and landscape perception evaluation assessment after the 1970s
Main two Greater Landscapes evaluation normal form has just been formed, and is flourished in later decades, and landscape resources U.S. has been gradually formed
It learns evaluation, Ecological Evaluation of The Landscape, visual Landscape assessment, visual environment evaluation etc. and compares ripe landscape evaluation method.21 century
Since, more realistic problems are constantly intensified in the continuous expansion recognized to Concept of Landscape with people and city, landscape
The research of evaluation also gradually starts from the single integrated pathway transformation for being worth and being combined to multi-value, subjectiveness and objectiveness evaluation.
It is at present to concentrate on that the evaluation of landscape visual environment, aesthetic quality comments mostly for the evaluation of Mountainous City River side landscape
Valence, river corridor restoration evaluation, water body health evaluation etc. relatively independent professional domain, inquire into River side landscape comprehensive value and
The evaluation study of suitability is less, and Mountainous City River side landscape environmental construction is a reflection landscape multi-value and multi-party group
The landscape practice process of body interests is just difficult to complete if only going to judge city River side landscape according to the standard of value in some field
It embodies to face its comprehensive value and reflects the complicated present situation of Mountainous City River side landscape.In addition, Mountainous City Binjiang area rain is big vast
The short flood in phase peak is anxious, and fluctuation in stage amplitude is notable, and land used condition is nervous, and exploitation protection is particularly thorny, has uncertain, dynamic
The features such as property, complexity, previous landscape evaluation scheme does not consider the particularity in Mountainous City Binjiang area usually, according to Plain
The Binjiang condition in city does evaluation decision to Mountainous City River side landscape, and it is big to have ignored Mountainous City waterfront area seasonality water level
The influence of function that amplitude variation is brought, ecology, visual appearance etc., thus result in landscape evaluation result cannot reflect it is existing
Shape problem, it is also difficult to give River side landscape construction with scientific and reasonable guidance.
Therefore, it how to be directed to dynamic, the complexity feature of the changeable Mountainous City River side landscape of water level, from more
The overall condition and its comprehensive suitability of scientific comprehensive angle description and reflection River side landscape are horizontal, become art technology
Personnel's urgent problem.
Invention content
For deficiencies of the prior art, this application discloses a kind of Mountainous City River side landscape suitability evaluations
Method can be directed to dynamic, the complexity feature of the changeable Mountainous City River side landscape of water level, from more scientific comprehensive angle
The overall condition and its comprehensive suitability of degree description and reflection River side landscape are horizontal.
In order to solve the above technical problems, the application uses the following technical solution：
A kind of Mountainous City River side landscape suitability evaluation methods, including：
Step 1：The assessment item information of evaluation goal is obtained, each assessment item information includes multiple evaluation index letters
Breath；
Step 2：The evaluation index scoring of each evaluation index is calculated based on the evaluation index information；
Step 3：Evaluation criterion weight vector and assessment item weight vectors are determined using analytic hierarchy process (AHP)；
Step 4：Based on evaluation criterion weight vector, assessment item weight vectors and evaluation index scoring Calculation Estimation
Target optimal level comprehensive score.
Preferably, step 2 includes：
Call the history fluctuation of water table characteristic information of the evaluation goal corresponding region；
The evaluation goal corresponding region is divided into city transition region, water based on the history fluctuation of water table characteristic information
Land buffering area and water level variable region；
Calculate separately the evaluation index scoring of city transition region, land and water buffering area and water level variable region.
Preferably, step 3 includes：
Step 3-1：Hierarchy Model is established, the hierarchy Model includes three layers, the factor of evaluation packet of first layer
Evaluation goal is included, the factor of evaluation of the second layer includes assessment item, and the factor of evaluation of third layer includes evaluation index；
Step 3-2：Determine single orderweight vector of each layer of factor of evaluation；
Determine list orderweight vector method include：If having n1 factor of evaluation, respectively x in certain layer1, x2, x3...,
xn1, xi1And xj1Indicate any two factor of evaluation in this layer, i1=1,2,3 ..., n1, j1=1,2,3 ..., n1, and i1 ≠
J1, ai1j1Indicate xi1Relative to xj1Significance level, ai1j1Take 1~9 positive integer, aj1i1Indicate xj1Relative to xi1Important journey
Degree,Judgment matrix
The characteristic equation of judgment matrix A is expressed as AW=λ W, and λ is the characteristic value of judgment matrix A, W be the corresponding features of λ to
Amount；
Seek the maximum eigenvalue λ of judgment matrix AmaxCorresponding feature vector, the feature obtained after which is normalized
Vector is this layer of factor of evaluation to the weight vectors of last layer factor of evaluation, i.e. Mode of Level Simple Sequence weight vectors；
Mode of Level Simple Sequence consistency check result determines that CR is expressed as by Mode of Level Simple Sequence consistency ration CR
Wherein CI is the coincident indicator of judgment matrix A,RI is the mean random index of judgment matrix A, value
Rule is：N1=1, RI=0；N1=2, RI=0；N1=3, RI=0.58；N1=4, RI=0.9；N1=5, RI=1.12；n1
=6, RI=1.24；N1=7, RI=1.32；N1=8, RI=1.41；N1=9, RI=1.45；
When CR < 0.1, it is believed that judgment matrix A passes through consistency check；When CR >=0.1, need to repair judgment matrix A
Just, it is made to meet CR < 0.1, to pass through consistency check；
Step 3-2：Determine total orderweight vector of each layer of factor of evaluation relative to first layer factor of evaluation；
Step 1)：Second layer factor of evaluation is its level with respect to the Mode of Level Simple Sequence weight vectors of first layer factor of evaluation
Total orderweight vector, total hierarchial sorting weight vectors a of the second layer factor of evaluation with respect to first layer factor of evaluation(2)It indicates,
a(2)=(a(2)(1),a(2)(2),…,a(2)(t),…,a(2)(p))TWherein, p is the factor of evaluation in second layer factor of evaluation
Number, a(2)(t) weight for t-th of factor of evaluation in second layer factor of evaluation with respect to first layer factor of evaluation, and t≤p；
Step 2)：Using the S factor of evaluation in second layer factor of evaluation factor of evaluation as comparison criterion, third layer evaluation
The Mode of Level Simple Sequence weight vectors b of factorS (3)It is expressed as：
bS (3)=(bS (3)(1),bS (3)(2),…,bS (3)(r),…,bS (3)(q))T
Wherein, q is the factor of evaluation number in third layer factor of evaluation, bS (3)(r) it is r-th in third layer factor of evaluation
Factor of evaluation is with respect to the weight of s-th of factor of evaluation in second layer factor of evaluation, r≤p；Enable B(3)=(b1 (3),b2 (3),…,bS (3),…,bq (3)), B(3)For the matrix of q rows p row, importance scale of the characterization third layer factor of evaluation to second layer factor of evaluation；
Then total hierarchial sorting weight vectors a of the third layer factor of evaluation with respect to first layer factor of evaluation(3)It indicates, has：
a(3)=B(3)a(2)；
Step 3-3：Examine the consistency of total hierarchical ranking；
The total hierarchial sorting consistency check result of three layers of factor of evaluation by third layer factor of evaluation total hierarchial sorting one
Cause sex ratio CR(3)It determines, is expressed as：
Wherein, CR(2)The consistency ratio of judgment matrix is formed with respect to first layer factor of evaluation by second layer factor of evaluation
Example, and meetCI(2)By second layer factor of evaluation the one of judgment matrix is formed with respect to first layer factor of evaluation
Cause property test rating, RI(2)The mean random for forming judgment matrix with respect to first layer factor of evaluation by second layer factor of evaluation refers to
Mark；CI(3)The consistency check index of judgment matrix, RI are formed relative to second layer factor of evaluation by third layer factor of evaluation(3)The mean random index for forming judgment matrix with respect to second layer factor of evaluation by third layer factor of evaluation, is expressed as：
CI(3)=CI(2)a(2)=(CI1 (2),CI2 (2),…,CIS (2),…,CIp (2))
RI(3)=RI(2)a(2)=(RI1 (2),RI2 (2),…,RIS (2),…,RIp (2))
When meeting CR(3)< 0.1, it is believed that third layer factor of evaluation by total hierarchial sorting consistency check, if not satisfied,
It then needs to be adjusted judgment matrix, until meeting CR(3)< 0.1；Undermost total hierarchial sorting weight vectors are level
Each factor of evaluation weight vectors that analytic approach determines；
Evaluation goal is first layer factor of evaluation, and assessment item is second layer factor of evaluation, and evaluation index is commented for third layer
Valence factor, therefore, assessment item weight vectors are a(2), evaluation criterion weight vector is a(3)。
Preferably, step 4 includes：
Calculate the assessment item scoring of the evaluation goal：
City transition region corresponds to the score value of arbitrary assessment item j2
Land and water buffering area corresponds to the score value of arbitrary assessment item j2
Water level variable region corresponds to the score value of arbitrary assessment item j2
Wherein, j2 is any one evaluation index in the evaluation goal, and n2 is the evaluation index number of the evaluation goal
Amount；
The optimal level comprehensive score of evaluation goalWherein, eXFor city
The default weight of transition region, eYFor the default weight of land and water buffering area, eZFor the default weight of water level variable region, j3 is institute's commentary
Any one assessment item in marked price mark, n3 are the assessment item quantity of the evaluation goal；
Calculation Estimation target optimal level comprehensive score：
Evaluation goal optimal level comprehensive score
Preferably, assessment item includes gallery continuity, habitat quality, Space Quality, traffic preferably row, very well equipped degree
And it is any one or more in the vigor degree of place.
Preferably, gallery successive Assessment project includes gallery fracture number, laterally blocks in number and vegetation buffering bandwidth
Any one or more evaluation indexes, habitat quality assessment item include landform reduction degree, Habitat Types number and birds species number
In any one or more evaluation indexes, Space Quality assessment item includes in space scale, space richness and restriction element
Any one or more evaluation indexes, traffic preferably row assessment item include transit accessibility, road convenience and walking safety
Any one or more evaluation indexes in property, very well equipped degree assessment item includes public utility, recreation facility and safety devices
In any one or more evaluation indexes, place vigor degree assessment item includes any one in activity density and activity diversity
Or multiple evaluation indexes.
Preferably, evaluation index scoring is calculated using five grade Likert scales, be divided into [0,20), [20,40),
[40,60), [and 60,80), [80,100] five sections, the corresponding evaluation index scoring in five sections is respectively 20,40,60,80,
100。
In conclusion this application discloses a kind of Mountainous City River side landscape suitability evaluation methods, including：Obtain evaluation
The assessment item information of target, each assessment item information include multiple evaluation index information；Based on the evaluation index information
Calculate the evaluation index scoring of each evaluation index；Evaluation criterion weight vector and assessment item power are determined using analytic hierarchy process (AHP)
Weight vector；It is suitable based on evaluation criterion weight vector, assessment item weight vectors and evaluation index scoring Calculation Estimation target
Suitable level comprehensive scoring.Technical solution disclosed in the present application can be directed to the dynamic of the changeable Mountainous City River side landscape of water level
Property, complexity feature, from the overall condition and its comprehensive suitability of the description of more scientific comprehensive angle and reflection River side landscape
It is horizontal.
Description of the drawings
In order to keep the purpose, technical scheme and advantage of application clearer, the application is made into one below in conjunction with attached drawing
The detailed description of step, wherein：
Fig. 1 is a kind of flow chart of Mountainous City River side landscape suitability evaluation methods disclosed in the present application；
Fig. 2 be water level variable region disclosed in the present application, land and water buffering area and city transition region boundary schematic diagram.
Specific implementation mode
The application is described in further detail below in conjunction with the accompanying drawings.
As shown in Figure 1, this application discloses a kind of Mountainous City River side landscape suitability evaluation methods, including：
S101, the assessment item information for obtaining evaluation goal, each assessment item information includes multiple evaluation index information；
S102, the evaluation index scoring that each evaluation index is calculated based on the evaluation index information；
S103, evaluation criterion weight vector and assessment item weight vectors are determined using analytic hierarchy process (AHP)；
S104, scored Calculation Estimation based on evaluation criterion weight vector, assessment item weight vectors and evaluation index
Target optimal level comprehensive score.
Compared with prior art, advantage of the invention is that：This method has considered the life of Mountainous City River side landscape
State value, social value, aesthetic values, the pleiotropism of space function, and be concerned about Mountainous City seasonality significantly water level rises
Complex effects of the objective environment phenomenon fallen to city River side landscape.The application has better globality, specific aim and accurate
Property, more can fully reflect the elements such as natural, artificial and humane for influencing Mountainous City River side landscape system, and more subject to
The true landscape suitable degree for judging different Binjiang water level regions, to provide scientific basis for landscape planning design.
When it is implemented, step 2 includes：
Call the history fluctuation of water table characteristic information of the evaluation goal corresponding region；
The evaluation goal corresponding region is divided into city transition region, water based on the history fluctuation of water table characteristic information
Land buffering area and water level variable region；
Calculate separately the evaluation index scoring of city transition region, land and water buffering area and water level variable region.
Evaluation object is refined as multiple and different influences such as water level variable region, land and water buffering area and city transition region by the application
The region of degree, and carry out finger corresponding with fluctuation of water table influence degree for the landscape evaluation index of different evaluation regions
Weight processing is marked, to obtain more objective and more accurate landscape evaluation result.
As shown in Fig. 2, wherein city transition region refers to urban flood defence datum grade with up to the vertical boundary of city first layer
The region in face；Land and water buffering area is the region that city is set up defences between datum grade and long-term water level line；Water level variable region is exactly normal
The region of whole year lowest water level below year water level.By marking off by the different Binjiang region of water environmental impact degree, then it is right
The indices of each region, which carry out landscape evaluation, can make the accuracy and validity higher of evaluation result, for not same district
The landscape planning design in domain is more guiding.
When it is implemented, step 3 includes：
Step 3-1：Hierarchy Model is established, the hierarchy Model includes three layers, the factor of evaluation packet of first layer
Evaluation goal is included, the factor of evaluation of the second layer includes assessment item, and the factor of evaluation of third layer includes evaluation index；
Step 3-2：Determine single orderweight vector of each layer of factor of evaluation；
Determine list orderweight vector method include：If having n1 factor of evaluation, respectively x in certain layer1, x2, x3...,
xn1, xi1And xj1Indicate any two factor of evaluation in this layer, i1=1,2,3 ..., n1, j1=1,2,3 ..., n1, and i1 ≠
J1, ai1j1Indicate xi1Relative to xj1Significance level, ai1j1Take 1~9 positive integer, aj1i1Indicate xj1Relative to xi1It is important
Degree,Judgment matrix
The characteristic equation of judgment matrix A is expressed as AW=λ W, and λ is the characteristic value of judgment matrix A, W be the corresponding features of λ to
Amount；
Seek the maximum eigenvalue λ of judgment matrix AmaxCorresponding feature vector, the feature obtained after which is normalized
Vector is this layer of factor of evaluation to the weight vectors of last layer factor of evaluation, i.e. Mode of Level Simple Sequence weight vectors；
Mode of Level Simple Sequence consistency check result determines that CR is expressed as by Mode of Level Simple Sequence consistency ration CR
Wherein CI is the coincident indicator of judgment matrix A,RI is the mean random index of judgment matrix A, value
Rule is：N1=1, RI=0；N1=2, RI=0；N1=3, RI=0.58；N1=4, RI=0.9；N1=5, RI=1.12；n1
=6, RI=1.24；N1=7, RI=1.32；N1=8, RI=1.41；N1=9, RI=1.45；
When CR < 0.1, it is believed that judgment matrix A passes through consistency check；When CR >=0.1, need to repair judgment matrix A
Just, it is made to meet CR < 0.1, to pass through consistency check；
Step 3-2：Determine total orderweight vector of each layer of factor of evaluation relative to first layer factor of evaluation；
Step 1)：Second layer factor of evaluation is its level with respect to the Mode of Level Simple Sequence weight vectors of first layer factor of evaluation
Total orderweight vector, total hierarchial sorting weight vectors a of the second layer factor of evaluation with respect to first layer factor of evaluation(2)It indicates,
a(2)=(a(2)(1),a(2)(2),…,a(2)(t),…,a(2)(p))TWherein, p is the factor of evaluation in second layer factor of evaluation
Number, a(2)(t) weight for t-th of factor of evaluation in second layer factor of evaluation with respect to first layer factor of evaluation, and t≤p；
Step 2)：Using the S factor of evaluation in second layer factor of evaluation factor of evaluation as comparison criterion, third layer evaluation
The Mode of Level Simple Sequence weight vectors b of factorS (3)It is expressed as：
bS (3)=(bS (3)(1),bS (3)(2),…,bS (3)(r),…,bS (3)(q))T
Wherein, q is the factor of evaluation number in third layer factor of evaluation, bS (3)(r) it is r-th in third layer factor of evaluation
Factor of evaluation is with respect to the weight of s-th of factor of evaluation in second layer factor of evaluation, r≤p；Enable B(3)=(b1 (3),b2 (3),…,bS (3),…,bq (3)), B(3)For the matrix of q rows p row, importance scale of the characterization third layer factor of evaluation to second layer factor of evaluation；
Then total hierarchial sorting weight vectors a of the third layer factor of evaluation with respect to first layer factor of evaluation(3)It indicates, has：
a(3)=B(3)a(2)；
Step 3-3：Examine the consistency of total hierarchical ranking；
The total hierarchial sorting consistency check result of three layers of factor of evaluation by third layer factor of evaluation total hierarchial sorting one
Cause sex ratio CR(3)It determines, is expressed as：
Wherein, CR(2)The consistency ratio of judgment matrix is formed with respect to first layer factor of evaluation by second layer factor of evaluation
Example, and meetCI(2)By second layer factor of evaluation the one of judgment matrix is formed with respect to first layer factor of evaluation
Cause property test rating, RI(2)The mean random for forming judgment matrix with respect to first layer factor of evaluation by second layer factor of evaluation refers to
Mark；CI(3)The consistency check index of judgment matrix, RI are formed relative to second layer factor of evaluation by third layer factor of evaluation(3)The mean random index for forming judgment matrix with respect to second layer factor of evaluation by third layer factor of evaluation, is expressed as：
CI(3)=CI(2)a(2)=(CI1 (2),CI2 (2),…,CIS (2),…,CIp (2))
RI(3)=RI(2)a(2)=(RI1 (2),RI2 (2),…,RIS (2),…,RIp (2))
When meeting CR(3)< 0.1, it is believed that third layer factor of evaluation by total hierarchial sorting consistency check, if not satisfied,
It then needs to be adjusted judgment matrix, until meeting CR(3)< 0.1；Undermost total hierarchial sorting weight vectors are level
Each factor of evaluation weight vectors that analytic approach determines；
Evaluation goal is first layer factor of evaluation, and assessment item is second layer factor of evaluation, and evaluation index is commented for third layer
Valence factor, therefore, assessment item weight vectors are a(2), evaluation criterion weight vector is a(3)。
There is the appraisement system of notable hierarchical structure for this kind of impact factor, analytic hierarchy process (AHP) is maximally efficient and real
With one of the method for, the strongest determining weight of operability.
When it is implemented, step 4 includes：
Calculate the assessment item scoring of the evaluation goal：
City transition region corresponds to the score value of arbitrary assessment item j2
Land and water buffering area corresponds to the score value of arbitrary assessment item j2
Water level variable region corresponds to the score value of arbitrary assessment item j2
Wherein, j2 is any one evaluation index in the evaluation goal, and n2 is the evaluation index number of the evaluation goal
Amount；
The optimal level comprehensive score of evaluation goalWherein, eXFor city
The default weight of transition region, eYFor the default weight of land and water buffering area, eZFor the default weight of water level variable region, j3 is institute's commentary
Any one assessment item in marked price mark, n3 are the assessment item quantity of the evaluation goal；
Calculation Estimation target optimal level comprehensive score：
Evaluation goal optimal level comprehensive score
In addition, the application can also calculate separately the optimal level scoring of city transition regionWater
The optimal level of land buffering area scoresThe optimal level of water level variable region scores
The landscape effect in different water level regions and comprehensive suitability can be gained more insight into, to subsequent River side landscape
Planning design work has direct directive significance.
When it is implemented, assessment item includes that gallery continuity, habitat quality, Space Quality, traffic preferably row, facility are complete
It is any one or more in kind degree and place vigor degree.
Gallery continuity and habitat quality directly reflect that the ecological environment in Binjiang region is horizontal；Space Quality, traffic are suitable
Row and very well equipped degree can reflect that Urban Public Space landscape function is horizontal；Place vigor degree reflection is River side landscape
The degree of recognition of pouplarity and resident to place.These assessment items can more synthetically embody and reflect city Binjiang
The synthesis suitability in space is horizontal.
When it is implemented, gallery successive Assessment project includes gallery fracture number, laterally blocks number and vegetation buffering bandwidth
Any one or more evaluation indexes in degree, habitat quality assessment item include landform reduction degree, Habitat Types number and birds object
Any one or more evaluation indexes in kind number, Space Quality assessment item include that space scale, space richness and limitation are wanted
Any one or more evaluation indexes in element, traffic preferably row assessment item include transit accessibility, road convenience and walking
Any one or more evaluation indexes in safety, very well equipped degree assessment item include public utility, recreation facility and safety
Any one or more evaluation indexes in facility, place vigor degree assessment item include arbitrary in activity density and activity diversity
One or more evaluation indexes.
By research shows that these indexs can the directly or indirectly and more comprehensively landscape of reflected appraisal project
Suitability.
When it is implemented, evaluation index scoring is calculated using five grade Likert scales, be divided into [0,20), [20,
40), [40,60), [and 60,80), [80,100] five sections, the corresponding evaluation index scoring in five sections is respectively 20,40,
60,80,100。
It is suitable to be calculated below using disclosed method using the change dragon bridge Binjiang Stage of Jiangling Jiangnan bank as evaluation goal
Level comprehensive scores：
Table 1-1
Table 1-2
Table 1-3
By analysis, the operations such as investigation, sampled measurements on the spot obtain shown in table 1-1, table 1-2 and table 1-3 it is every
Index describes and numerical value, and the scoring criterion in table 1-2 is the scoring criterion of evaluation index in table 1, and table 1-1 table 1-2 tables 1-3 can be horizontal
To being spliced into a table；
It is weighted processing resulting value according to each evaluation criterion weight value in table and the Term Weight value of evaluation region
Obtain evaluation result.In terms of the overall evaluation, the score value for changing the landscape synthesis optimal level of imperial bridge Binjiang Stage is 68, wherein space
Quality is preferable, scores 86.8 points, and traffic preferably row is poor, scores 49.2 points.In terms of each assessing zonings, water level variable region landscape is comprehensive
Conjunction optimal level is fine, and score value 65.1, wherein very well equipped degree is worst, scores 25 points；Land and water buffering area landscape synthesis is suitable
Preferably horizontal preferable, score value 80.12, wherein Space Quality, habitat quality and the scoring of gallery continuity are higher, but traffic is preferably gone
Property it is poor, score only 53.2 points；City transition region landscape synthesis optimal level is poor, score value 46.5, wherein habitat quality,
Place vigor degree and traffic preferably row are all poor, respectively 30 points, 36 points, 46.8 points.The reality of evaluation result and River side landscape
Situation is consistent, and by this method in addition to that can know that the suitability of the entire each landscape feature in Binjiang plot is horizontal, moreover it is possible to
Access for different water level regions specifically with accurate evaluation result, more directiveness, specific aim and practicability.
Finally illustrate, above example is only to illustrate the technical solution of the application and unrestricted, although passing through ginseng
The application is described according to the preferred embodiment of the application, it should be appreciated by those of ordinary skill in the art that can
To make various changes to it in the form and details, without departing from the application defined by the appended claims
Spirit and scope.
Claims (7)
1. a kind of Mountainous City River side landscape suitability evaluation methods, which is characterized in that including：
Step 1：The assessment item information of evaluation goal is obtained, each assessment item information includes multiple evaluation index information；
Step 2：The evaluation index scoring of each evaluation index is calculated based on the evaluation index information；
Step 3：Evaluation criterion weight vector and assessment item weight vectors are determined using analytic hierarchy process (AHP)；
Step 4：Based on evaluation criterion weight vector, assessment item weight vectors and evaluation index scoring Calculation Estimation target
Optimal level comprehensive score.
2. River side landscape suitability evaluation methods in Mountainous City as described in claim 1, which is characterized in that step 2 includes：
Call the history fluctuation of water table characteristic information of the evaluation goal corresponding region；
The evaluation goal corresponding region is divided into city transition region based on the history fluctuation of water table characteristic information, land and water is delayed
Rush area and water level variable region；
Calculate separately the evaluation index scoring of city transition region, land and water buffering area and water level variable region.
3. River side landscape suitability evaluation methods in Mountainous City as claimed in claim 2, which is characterized in that step 3 includes：
Step 3-1：Hierarchy Model is established, the hierarchy Model includes three layers, and the factor of evaluation of first layer includes commenting
The factor of evaluation of marked price mark, the second layer includes assessment item, and the factor of evaluation of third layer includes evaluation index；
Step 3-2：Determine single orderweight vector of each layer of factor of evaluation；
Determine list orderweight vector method include：If having n1 factor of evaluation, respectively x in certain layer1, x2, x3..., xn1,
xi1And xj1Indicate any two factor of evaluation, i1=1,2,3 ..., n1, j1=1,2,3 ..., n1, and i1 ≠ j1 in this layer,
ai1j1Indicate xi1Relative to xj1Significance level, ai1j1Take 1~9 positive integer, aj1i1Indicate xj1Relative to xi1Significance level,Judgment matrix
The characteristic equation of judgment matrix A is expressed as AW=λ W, and λ is the characteristic value of judgment matrix A, and W is the corresponding feature vectors of λ；
Seek the maximum eigenvalue λ of judgment matrix AmaxCorresponding feature vector, the feature vector obtained after which is normalized
It is this layer of factor of evaluation to the weight vectors of last layer factor of evaluation, i.e. Mode of Level Simple Sequence weight vectors；
Mode of Level Simple Sequence consistency check result determines that CR is expressed as by Mode of Level Simple Sequence consistency ration CRWherein
CI is the coincident indicator of judgment matrix A,RI is the mean random index of judgment matrix A, value rule
For：N1=1, RI=0；N1=2, RI=0；N1=3, RI=0.58；N1=4, RI=0.9；N1=5, RI=1.12；N1=6,
RI=1.24；N1=7, RI=1.32；N1=8, RI=1.41；N1=9, RI=1.45；
When CR < 0.1, it is believed that judgment matrix A passes through consistency check；When CR >=0.1, need to be modified judgment matrix A,
It is set to meet CR < 0.1, to pass through consistency check；
Step 3-2：Determine total orderweight vector of each layer of factor of evaluation relative to first layer factor of evaluation；
Step 1)：Second layer factor of evaluation is that its level is always arranged with respect to the Mode of Level Simple Sequence weight vectors of first layer factor of evaluation
Sequence weight vectors, total hierarchial sorting weight vectors a of the second layer factor of evaluation with respect to first layer factor of evaluation(2)It indicates, a(2)
=(a(2)(1),a(2)(2),…,a(2)(t),…,a(2)(p))TWherein, p is the factor of evaluation number in second layer factor of evaluation,
a(2)(t) weight for t-th of factor of evaluation in second layer factor of evaluation with respect to first layer factor of evaluation, and t≤p；
Step 2)：Using the S factor of evaluation in second layer factor of evaluation factor of evaluation as comparison criterion, third layer factor of evaluation
Mode of Level Simple Sequence weight vectors bS (3)It is expressed as：
bS (3)=(bS (3)(1),bS (3)(2),…,bS (3)(r),…,bS (3)(q))T
Wherein, q is the factor of evaluation number in third layer factor of evaluation, bS (3)(r) it is r-th of evaluation in third layer factor of evaluation
Factor is with respect to the weight of s-th of factor of evaluation in second layer factor of evaluation, r≤p；Enable B(3)=(b1 (3),b2 (3),…,bS (3),…,
bq (3)), B(3)For the matrix of q rows p row, importance scale of the characterization third layer factor of evaluation to second layer factor of evaluation；
Then total hierarchial sorting weight vectors a of the third layer factor of evaluation with respect to first layer factor of evaluation(3)It indicates, has：a(3)
=B(3)a(2)；
Step 3-3：Examine the consistency of total hierarchical ranking；
The total hierarchial sorting consistency check result of three layers of factor of evaluation by third layer factor of evaluation total hierarchial sorting consistency
Ratio CR(3)It determines, is expressed as：
Wherein, CR(2)The consistency ration of judgment matrix is formed with respect to first layer factor of evaluation by second layer factor of evaluation, and
MeetCI(2)The consistency of judgment matrix is formed with respect to first layer factor of evaluation by second layer factor of evaluation
Test rating, RI(2)The mean random index of judgment matrix is formed with respect to first layer factor of evaluation by second layer factor of evaluation；
CI(3)The consistency check index of judgment matrix, RI are formed relative to second layer factor of evaluation by third layer factor of evaluation(3)For
Third layer factor of evaluation is expressed as with respect to the mean random index of the formed judgment matrix of second layer factor of evaluation：
CI(3)=CI(2)a(2)=(CI1 (2),CI2 (2),…,CIS (2),…,CIp (2))
RI(3)=RI(2)a(2)=(RI1 (2),RI2 (2),…,RIS (2),…,RIp (2))
When meeting CR(3)< 0.1, it is believed that third layer factor of evaluation is by total hierarchial sorting consistency check, if not satisfied, then needing
Judgment matrix is adjusted, until meeting CR(3)< 0.1；Undermost total hierarchial sorting weight vectors are step analysis
Each factor of evaluation weight vectors that method determines；
Evaluation goal be first layer factor of evaluation, assessment item be second layer factor of evaluation, evaluation index be third layer evaluate because
Element, therefore, assessment item weight vectors are a(2), evaluation criterion weight vector is a(3)。
4. River side landscape suitability evaluation methods in Mountainous City as claimed in claim 3, which is characterized in that step 4 includes：
Calculate the assessment item scoring of the evaluation goal：
City transition region corresponds to the score value of arbitrary assessment item j2
Land and water buffering area corresponds to the score value of arbitrary assessment item j2
Water level variable region corresponds to the score value of arbitrary assessment item j2
Wherein, j2 is any one evaluation index in the evaluation goal, and n2 is the evaluation index quantity of the evaluation goal；
The optimal level comprehensive score of evaluation goalWherein, eXFor city transition
The default weight in area, eYFor the default weight of land and water buffering area, eZFor the default weight of water level variable region, j3 is the evaluation mesh
Any one assessment item in mark, n3 are the assessment item quantity of the evaluation goal；
Calculation Estimation target optimal level comprehensive score：
Evaluation goal optimal level comprehensive score
5. River side landscape suitability evaluation methods in Mountainous City as described in claim 1, which is characterized in that assessment item includes
Gallery continuity, habitat quality, Space Quality, traffic preferably row, very well equipped degree and any one in the vigor degree of place or
It is multinomial.
6. River side landscape suitability evaluation methods in Mountainous City as described in claim 1, which is characterized in that gallery continuity is commented
Valence project includes gallery fracture number, laterally blocks any one or more evaluation indexes in number and vegetation buffering bandwidth, habitat
Quality evaluation project includes any one or more evaluation indexes in landform reduction degree, Habitat Types number and birds species number, empty
Between quality evaluation project include any one or more evaluation indexes in space scale, space richness and restriction element, traffic
Preferably row assessment item includes any one or more evaluation indexes in transit accessibility, road convenience and walking safety,
Very well equipped degree assessment item includes any one or more evaluation indexes, field in public utility, recreation facility and safety devices
Institute's vigor degree assessment item includes any one or more evaluation indexes in activity density and activity diversity.
7. River side landscape suitability evaluation methods in Mountainous City as described in claim 1, which is characterized in that evaluation index scores
It is calculated using five grade Likert scales, be divided into [0,20), [20,40), [40,60), [60,80), [80,100] five
A section, the corresponding evaluation index scoring in five sections is respectively 20,40,60,80,100.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111340666A (en) * | 2019-12-13 | 2020-06-26 | 昆明理工大学 | Urban garden tree species planning model based on analytic hierarchy process |
| CN111967757A (en) * | 2020-08-12 | 2020-11-20 | 软通智慧科技有限公司 | Method, device, equipment and storage medium for determining urban livable scheme |
| CN112989621A (en) * | 2021-03-31 | 2021-06-18 | 建信金融科技有限责任公司 | Model performance evaluation method, device, equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5017434B2 (en) * | 2010-08-11 | 2012-09-05 | 株式会社東芝 | Information processing apparatus and program |
| CN106203823A (en) * | 2016-07-07 | 2016-12-07 | 中国环境科学研究院 | Urban Water Environment development quality integrated evaluating method |
| CN106611099A (en) * | 2015-10-16 | 2017-05-03 | 中国传媒大学 | Program evaluation system and method based on analytic hierarchy process |
-
2018
- 2018-05-25 CN CN201810517409.9A patent/CN108734409A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5017434B2 (en) * | 2010-08-11 | 2012-09-05 | 株式会社東芝 | Information processing apparatus and program |
| CN106611099A (en) * | 2015-10-16 | 2017-05-03 | 中国传媒大学 | Program evaluation system and method based on analytic hierarchy process |
| CN106203823A (en) * | 2016-07-07 | 2016-12-07 | 中国环境科学研究院 | Urban Water Environment development quality integrated evaluating method |
Non-Patent Citations (1)
| Title |
|---|
| 汤晓敏: "《景观视觉环境评价的理论、方法与应用研究》", 《中国博士学位论文全文数据库 工程科技Ⅰ辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111340666A (en) * | 2019-12-13 | 2020-06-26 | 昆明理工大学 | Urban garden tree species planning model based on analytic hierarchy process |
| CN111967757A (en) * | 2020-08-12 | 2020-11-20 | 软通智慧科技有限公司 | Method, device, equipment and storage medium for determining urban livable scheme |
| CN111967757B (en) * | 2020-08-12 | 2023-12-26 | 北京软通智慧科技有限公司 | Method, device, equipment and storage medium for determining urban livability scheme |
| CN112989621A (en) * | 2021-03-31 | 2021-06-18 | 建信金融科技有限责任公司 | Model performance evaluation method, device, equipment and storage medium |
| CN112989621B (en) * | 2021-03-31 | 2023-06-23 | 建信金融科技有限责任公司 | Model performance evaluation method, device, equipment and storage medium |
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