CN113344319A - Method and device for measuring and calculating space quality evaluation of community consumption circle - Google Patents

Method and device for measuring and calculating space quality evaluation of community consumption circle Download PDF

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CN113344319A
CN113344319A CN202110448680.3A CN202110448680A CN113344319A CN 113344319 A CN113344319 A CN 113344319A CN 202110448680 A CN202110448680 A CN 202110448680A CN 113344319 A CN113344319 A CN 113344319A
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刘晨瑜
李梦雨
魏宗财
古上民
龙海燕
魏纾晴
邹滢
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South China University of Technology SCUT
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Abstract

The invention discloses a measuring and calculating method and a measuring and calculating device for evaluating the space quality of a community consumption circle, wherein the measuring and calculating method comprises the following steps: numbering communities in a research area, selecting relevant factors for evaluating the space quality of a community consumption circle, and constructing a multi-level evaluation model of the space quality of the community consumption circle; acquiring related network open source data and literature data of a community consumption circle space quality evaluation factor; sorting, inducing and analyzing relevant network open source data and literature data, and calculating the weight of a space quality evaluation factor of a community consumption circle; according to the calculated evaluation factor weight, multi-level fuzzy comprehensive evaluation is carried out on the space quality of the community consumption circle, a result is obtained through quantification, multi-level factors are screened aiming at the community consumption circle, a comprehensive community consumption circle space quality evaluation model is formed, and the defect of quantitative research on the micro-scale space quality of the community consumption circle at the present stage is made up; and identifying the space quality characteristics of the community consumption circle, and visually reflecting the level of the space quality of the community consumption circle by an evaluation result.

Description

Method and device for measuring and calculating space quality evaluation of community consumption circle
Technical Field
The invention relates to the technical field of urban business space quality evaluation and urban and rural planning, in particular to a measuring and calculating method and device for space quality evaluation of a community consumption circle.
Background
Different from the 'Jumbo' type commercial complex which mainly takes retail, catering and entertainment in cities, the community business deeply influences the lives of residents due to the characteristics of convenience and high affinity. The community consumption circle is a commercial space range formed based on the consumption demands and behaviors of residents and is an important component of the community life circle. The community consumption area mainly considers the business state and the shop space of consumption provided in the community life circle, and the service radius of the community consumption area is consistent with that of the community life circle. And dividing the community consumption circle into three space ranges of five minutes, ten minutes and fifteen minutes of walking distance by referring to the division standard of the community life circle. The community consumption circle uses residents in the community range as service objects, and mainly uses the local business, so that the consumption demand of the residents is met, and the services required by the daily life of the residents are provided. How to improve the quality of the commercial space of the community, improve the system construction of the community consumption circle and optimize the layout and configuration of the community consumption circle is an important subject for guiding the construction of the residential life circle by the government and related planning departments.
As an important space composition of daily life of residents, the construction and development of community consumption circles are very important. The quality of the community consumption circle can be generalized to various contents such as space quality, shop quality, state abundance and the like. On one hand, the convenience and accessibility of space quality coverage need to adapt to the diversified travel modes of the residents at present; on the other hand, the importance of the state richness is highlighted in the case of an emergency public health event, so that the community consumption circle needs to meet the daily life needs of residents under various conditions in a state; in addition, after experiencing the new crown epidemic situation, residents have higher requirements on the quality of stores in the community consumption circle, and the environment is beautiful, the commodities are high in quality and low in price, and the sanitation and safety are guaranteed.
The construction of community consumption circles in China is mostly in the initial stage, the development is generally immature, and the functions are relatively incomplete. At present, domestic research results about commercial space mainly focus on the aspects of scale, space, layout and the like of commercial entities, and the research on community business and consumption circles is less; and the evaluation and feedback of the community business space by integrating the resident consumption behavior decision, the individual experience and the multi-source big data are insufficient. In addition, at present, no unified standard exists for evaluating the space quality of the community consumption circle, and quantitative research on the space quality of the community consumption circle on a micro scale is lacked.
In the post-epidemic era, the establishment of community consumption circles urgently needs a practical and effective feedback system to ensure the sustainable development of the community consumption circles. Therefore, a scientific and practical evaluation method needs to be established, so that the space quality of the current community consumption circle is evaluated and fed back, visual reference is provided for feeding back the condition of the current community consumption circle, the layout and configuration of the community consumption circle are optimized, and reference is provided for the thinking of building and developing the community consumption circle in China.
Disclosure of Invention
The invention aims to provide a method and a device for measuring and calculating the space quality of a community consumption circle, and aims to solve the problems that a scientific and effective evaluation method for the space quality of the community consumption circle is lacked in the current domestic planning industry and a feedback path for the configuration and layout conditions of the existing community consumption circle is lacked.
The purpose of the invention is mainly realized by adopting the following technical scheme:
a measuring and calculating method for space quality evaluation of community consumption circles comprises the following steps:
building a model, referring to relevant standards and specifications of community construction, selecting a community consumption circle space quality evaluation factor to be researched, building a standard, classifying according to characteristics, and building a multi-level community consumption circle space quality evaluation model;
data acquisition: acquiring relevant questionnaire interview data and network open source data of a community consumption circle space quality evaluation factor to be researched;
data processing and analysis: the method comprises the steps of sorting, inducing and analyzing interview data and network open source data of related questionnaires, inquiring expert opinions of urban and rural planning and grading factor importance experts, and calculating and determining the weight of a community consumption circle space quality evaluation factor by introducing an analytic hierarchy process of a scale function;
and (3) quality evaluation: and quantitatively evaluating the space quality of the community consumption circle according to the weight of the space quality evaluation factor of the community consumption circle and based on multi-level fuzzy comprehensive evaluation of the demand of community residents to obtain a result.
Preferably, the method for measuring and calculating the space quality of the community consumption circle,
the model construction specifically comprises the following steps:
and constructing a multi-level community consumption circle space quality evaluation model. According to the space quality characteristic induction of the community consumption circle, the three evaluation indexes are divided into three levels, and the three evaluation indexes are listed as C11Space quality of community consumption circle, C12Community Consumer circle store quality, C13The business state richness of the community charge circle; eight secondary evaluation indexes, C11The secondary evaluation index of (2): c21Location and traffic, C22Consumer circle store space layout, C23Landscaping environment of the consumption circle; c12The secondary evaluation index of (2): c24Characteristics of commercial products, C25Store conditions C26Service and after sale; c13The secondary evaluation index of (2): c27Richness of the trade state of the consumption circle at different distances, C28Five minutes consumption circle.
Selecting m tertiary evaluation factors for evaluating the space quality of the community consumption circle in the tertiary evaluation indexes, and establishing a multi-level community consumption circle space quality evaluation model formed by the m tertiary factors; the m-term factor is marked as C31,C32,…,C3mWherein m is a positive integer and m is less than or equal to 26. The data acquisition specifically comprises:
acquiring relevant field questionnaires, interview data and network open source data of each factor layer of space quality evaluation of each community consumption circle;
the data processing and analyzing specifically comprises the following steps:
sorting, summarizing and analyzing related network open source data and questionnaire interview data to obtain data characteristics of a community consumption circle space quality evaluation factor layer, factor importance expert scores and evaluation values of the factor layer, and obtaining the weight of each factor layer by using an AHP analytic hierarchy process introducing a scale function; the evaluation value of the ith factor layer of the spatial quality of the jth community consumption circle nth layer is represented as RnijN is 1,2, 3; the weight of the ith factor layer of the nth layer is represented as wniI is a positive integer, i is 1,2, …, m;
the quality evaluation specifically comprises the following steps:
carrying out fuzzy comprehensive evaluation according to the evaluation value and the weight of the space quality factor layer of the community consumption circle, wherein a comprehensive evaluation score formula for quantitatively calculating the space quality of the community consumption circle is as follows:
Figure BDA0003037933910000021
wherein B is the comprehensive evaluation score of the space quality of the community consumption circle, W is the weight vector of each factor, R is the membership vector of each factor, WiAs weights for the ith evaluation factor, "°" is the weighted average M (-) taken,
Figure BDA0003037933910000031
) And (5) fuzzy synthesis operator.
Preferably, the method for measuring and calculating the space quality evaluation of the community consumption circle, provided by the invention, further comprises the following steps of:
the three-level evaluation factors respectively belong to different secondary evaluation indexes and primary evaluation indexes according to the attribution of the evaluation factors, and a multi-level community consumption circle space quality evaluation model is formed.
The evaluation factors are divided into five grading grades according to the data characteristics of the three-level evaluation factors, and the grading grade standard mainly refers to relevant specifications and standards such as urban residential area planning design standard GB 50180-2018, Shanghai city 15-minute community life circle planning guide rule and the like, community resident requirements and expert opinions in the professional field.
In the evaluation model, each evaluation factor of each level forms a factor set of the evaluation,
for layer 1 evaluation factor set U1And 3 factors in total:
U1={u11,u12,u13}
for the layer 2 evaluation factor set, there were 8 factors:
U2={u21,u22,...,u28}
for the layer 3 evaluation factor set, there are m factors:
U3={u31,u32,...,u3m}
for the evaluation value, an evaluation standard needs to be established to classify the result into a certain grade:
Vneither good, generally, poor, very bad)
Preferably, the method for measuring and calculating the spatial quality evaluation of the community consumption circle of the present invention further includes:
and acquiring questionnaire interview data and network open source data of the community consumption circle spatial quality evaluation factor layer.
The questionnaire and interview data comprise an index importance questionnaire taking professional field experts as main interviewed objects and a space quality satisfaction questionnaire taking residents in a community consumption circle to be researched as main interviewed objects. The index importance questionnaire is used for acquiring data required by determining the weight of the community consumption circle space quality evaluation factor layer, and the space quality satisfaction questionnaire is used for acquiring data required by comprehensive evaluation calculation aiming at the community consumption circle space quality ambiguity to be researched.
Preferably, the method for measuring and calculating the spatial quality evaluation of the community consumption circle of the present invention, the data processing and analyzing, further includes:
according to analysis and summary of network open source data related to each community consumption circle, data obtained by an index importance questionnaire and a space quality satisfaction questionnaire are used for respectively obtaining the weight and evaluation value of each factor layer:
determining the weight of each layer evaluation factor by using an AHP (analytic hierarchy process) introduced with a scale function, specifically:
the n-th layer in the evaluation model has m factors of 1,2,3 … m, and n is 1,2, 3; m is a positive integer; the index value C of each factor of each layer is an1,an2,...,anm
The first layer and the second layer of the evaluation model respectively correspond to 3 determined primary evaluation factors and 8 determined secondary evaluation factors, and the third layer has m factors.
Calculating the average score of each evaluation factor of each layer, namely an index value C, after weighting and averaging the results of the index importance questionnaire; using it to calculate the corresponding scale function value;
the scale function constructed was:
Figure BDA0003037933910000032
in the formula (I), the compound is shown in the specification,
n represents evaluation index levels of different grades, and n is 1,2 and 3; i, j represents any two factors in the n-th layer index; i, j are positive integers;
bnijrepresents the nth layer factor CniRelative to CnjScale function value of (2), representing CniRatio CnjThe degree of importance of;
knijrepresents the nth layer factor CniAnd CnjC index value ratio ani/anj
k represents the ratio of the maximum value to the minimum value of the index value C in the same type factor of the level;
b represents the scale of the relative importance of the factor corresponding to k; the ratio of the expected values of the human beings for "almost", "slightly excellent", "very excellent" and "extremely excellent" is (1,1.30,1.77,2.40,3.63), respectively, and the traditional evaluation scale proposed in the traditional analytic hierarchy process is (1,3,5,7, 9);
after k is obtained, the k value is compared with the expected value ratio of b in a known sequence, and the calculation is converted into a traditional judgment scale, for example, k is 1.646 which is similar to 1.77, so that b takes 5, and then b is carried outnijCalculating a scale function value of (1);
p represents an adjustment coefficient, and when the selection criterion of the factor is that the larger the index value of C is, the better the index value is, the value is 1; otherwise, the value is-1;
constructing a judgment matrix P of index factors of each layer according to the calculation result of the scale function;
normalizing and normalizing the judgment matrix P, wherein the formula is as follows:
Figure BDA0003037933910000041
Figure BDA0003037933910000042
calculating a judgment matrix to solve the relative weight of a certain level factor to the factor dominating the previous level; calculating the relative weight W of each factor of the hierarchy by adopting a solving method, and sequencing the hierarchy list, wherein the formula is as follows:
Figure BDA0003037933910000043
and (3) carrying out consistency check on the judgment matrix P, wherein the formula is as follows:
Figure BDA0003037933910000044
Figure BDA0003037933910000045
Figure BDA0003037933910000046
in the formula, r is the order of the level judgment matrix;
the RI value has a corresponding relation with the matrix order, and when the order is 3,4,5,6,7,8 and 9 respectively, the corresponding RI value is 0.58,0.90,1.12,1.24,1.32,1.41 and 1.45 respectively;
when CR is less than 0.1, the consistency is checked to be passed, and the matrix is judged to be logically reasonable;
after the consistency check is passed, calculating the synthetic weight Q of the third-layer evaluation factor relative to the total target, and performing the total hierarchical ordering, wherein the formula is as follows:
Q3i=W1i·W2i·W3i(i=1,2,3,...,m)
in the formula, W1i、W2iRepresents the weight of the first and second layer evaluation factors to which the ith evaluation factor of the third layer belongs, W3iA relative weight representing the evaluation factor; (ii) a
Preferably, the method for measuring and calculating the spatial quality evaluation of the community consumption circle of the present invention further includes:
the membership degree refers to the membership degree of each evaluation factor to different evaluation levels, and a structural questionnaire method is adopted to obtain an evaluation set of evaluation factors of evaluation subjects, namely community residents;
evaluation factor set UnSingle factor u inni(i ═ 1, 2.. said., m) for comment level vnj(j=1,2,...,vm) Degree of membership of rnij,uniThe single-factor evaluation set is as follows:
rni={rni1,uni2,...,unim}
constructing an evaluation set evaluation matrix of m factors in the evaluation factor set according to the determined evaluation factor set and evaluation criterion and the membership degree and weight of each evaluation factor:
Figure BDA0003037933910000051
the influence of all factors is comprehensively considered by adopting multi-level fuzzy comprehensive evaluation, and the comprehensive evaluation score of the space quality of each community consumption circle is quantitatively calculated, wherein the formula is as follows:
Figure BDA0003037933910000052
wherein, B is the comprehensive evaluation score of the space quality of the community consumption circle, W is the weight vector of each factor, R is the membership vector of each factor, WiIs the weight of the ith evaluation factor, "°" is the weighted average M (· ≦ f) fuzzy synthesis operator employed;
preferably, according to the method for measuring and calculating the space quality of the community consumption circle, the area consumption circle space quality related factors are divided into three levels of evaluation indexes, and the first level evaluation index related factors comprise three levels of community consumption circle space quality, community consumption circle shop quality and community consumption circle business state richness; the secondary evaluation index related factors comprise eight types of regional and traffic, spatial layout of the consumer circle shop, landscape greening environment of the consumer circle, commodity characteristics, shop conditions, service and after sale, the abundance degree of the business state of the consumer circle with different distances and the business state demand of the five-minute consumer circle; the related factors of the three-level evaluation index comprise bus convenience, parking easiness, accessibility, shop layout, public activity space distribution, greening system, plant configuration, commodity type, commodity quality, commodity price, in-store environment, business time period and delivery service, the service level, the non-contact service, the on-line service, the five-minute walking consumption circle business state abundance, the ten-minute walking consumption circle business state abundance, the fifteen-minute walking consumption circle business state abundance, the five-minute consumption circle daily use goods class store requirement, the five-minute consumption circle vegetable and fruit fresh class store requirement, the five-minute consumption circle catering class store requirement, the five-minute consumption circle express post station class service requirement, the five-minute consumption circle clothing ornament class store requirement, the five-minute consumption circle medical goods class store requirement and the five-minute consumption circle hairdressing shop requirement.
A measuring and calculating device for evaluating space quality of community consumption circles comprises:
the numbering module is used for numbering communities to be researched selected in the research range;
the model construction module is used for selecting factors for evaluating the space quality of the community consumption circle to be researched and constructing a multi-level community consumption circle space quality evaluation model consisting of a plurality of factors;
the data acquisition module is used for acquiring relevant questionnaire interview data and network open source data of the community consumption circle space quality evaluation factors;
the data processing and analyzing module is used for sorting, summarizing and analyzing related questionnaire interview data and network open source data, consulting the opinions of urban and rural planning and planning experts, scoring factor importance experts, and calculating and determining the weight of the space quality evaluation factor of the community consumption circle by introducing an analytic hierarchy process of a scale function;
and the quality evaluation module is used for quantitatively evaluating the space quality of the community consumption circle according to the weight of the space quality evaluation factor of the community consumption circle and based on multi-level fuzzy comprehensive evaluation of the demand of community residents to obtain a result.
Preferably, the calculating device of the space quality of the community consumption circle of the present invention, the numbering module is configured to:
the number of communities in the research range is marked as j, j is 1,2,3, … n, and j and n are positive integers; n is the number of communities in the research range;
the model building module is configured to:
and constructing a multi-level community consumption circle space quality evaluation model. According to the space quality characteristic induction of the community consumption circle, the three evaluation indexes are divided into three levels, and the three evaluation indexes are listed as C11Space quality of community consumption circle, C12Community Consumer circle store quality, C13The business state richness of the community charge circle; eight secondary evaluation indexes, C11The secondary evaluation index of (2): c21Location and traffic, C22Consumer circle store space layout, C23Landscaping environment of the consumption circle; c12The secondary evaluation index of (2): c24Characteristics of commercial products, C25Store conditions C26Service and after sale; c13The secondary evaluation index of (2):C27richness of the trade state of the consumption circle at different distances, C28Five minutes consumption circle.
Selecting m tertiary evaluation factors for evaluating the space quality of the community consumption circle in the tertiary evaluation indexes, and establishing a multi-level community consumption circle space quality evaluation model formed by the m tertiary factors; the m-term factor is marked as C31,C32,…,C3mWherein m is a positive integer.
The data acquisition module is used for:
acquiring relevant questionnaire interview data and network open source data of each factor layer of space quality evaluation of each community consumption circle;
the data processing and analyzing module is used for:
acquiring relevant questionnaire interview data and network open source data of each factor layer of space quality evaluation of each community consumption circle;
the data processing and analyzing module is used for:
sorting, summarizing and analyzing related network open source data and questionnaire interview data to obtain data characteristics of a community consumption circle space quality evaluation factor layer, factor importance expert scores and evaluation values of the factor layer, and obtaining the weight of each factor layer by using an AHP analytic hierarchy process introducing a scale function; the evaluation value of the ith factor layer of the spatial quality of the jth community consumption circle nth layer is represented as RnijN is 1,2, 3; the weight of the ith factor layer of the nth layer is represented as wniI is a positive integer, i is 1,2, …, m;
the quality evaluation module is used for:
carrying out fuzzy comprehensive evaluation according to the evaluation value and the weight of the space quality factor layer of the community consumption circle, wherein a comprehensive evaluation score formula for quantitatively calculating the space quality of the community consumption circle is as follows:
Figure BDA0003037933910000061
wherein B is the comprehensive evaluation score of the space quality of the community consumption circle, W is the weight vector of each factor,r is the membership vector of each factor, WiAs weights for the ith evaluation factor, "°" is the weighted average M (-) taken,
Figure BDA0003037933910000062
) And (5) fuzzy synthesis operator.
Preferably, the utility model is a measuring and calculating device for evaluating the space quality of the community consumption circle, and the model building module is further configured to:
the three-level evaluation factors respectively belong to different secondary evaluation indexes and primary evaluation indexes according to the attribution of the evaluation factors, and a multi-level community consumption circle space quality evaluation model is formed;
the evaluation factors are divided into five grading grades according to the data characteristics of the three-grade evaluation factors, and the grading grade standard mainly refers to relevant specifications and standards such as urban residential area planning design standard GB 50180-2018, Shanghai city 15-minute community life circle planning guide rule and the like, community resident requirements and expert opinions in the professional field.
In the evaluation model, each evaluation factor of each layer forms a factor set of the evaluation,
for layer 1 evaluation factor set U1And 3 factors in total:
U1={u11,u12,u13}
for layer 2 evaluation factor set U2And a total of 8 factors:
U2={u21,u22,...,u28}
for layer 3 evaluation factor set U3And m factors:
U3={u31,u32,...,u3m}
for the evaluation value, an evaluation standard needs to be established to classify the result into a certain grade:
Vneither good, generally, poor, very bad)
Preferably, the data acquisition module of the measuring and calculating device for evaluating the space quality of the community consumption circle is further configured to:
acquiring field questionnaires, interview numbers and network open source data of a community consumption circle space quality evaluation factor layer.
The questionnaire and interview data comprise an index importance questionnaire taking professional field experts as main interviewed objects and a space quality satisfaction questionnaire taking residents in a community consumption circle to be researched as main interviewed objects. The index importance questionnaire is used for acquiring data required by determining the weight of the community consumption circle space quality evaluation factor layer, and the space quality satisfaction questionnaire is used for acquiring data required by comprehensive evaluation calculation aiming at the community consumption circle space quality ambiguity to be researched.
Preferably, the data processing and analyzing module of the measuring and calculating device for evaluating the space quality of the community consumption circle is further configured to:
according to the analysis and summary of network open source data related to each community consumption circle, the weight and evaluation value of each factor layer are respectively obtained by data obtained by an index importance questionnaire and a space quality satisfaction questionnaire, and the method specifically comprises the following steps:
determining the weight of each layer evaluation factor by using an AHP (analytic hierarchy process) introduced with a scale function, specifically:
the n-th layer in the evaluation model has m factors of 1,2,3 … m, and n is 1,2, 3; m is a positive integer; the index value C of each factor of each layer is an1,an2,...,anm
The first layer and the second layer of the evaluation model respectively correspond to 3 determined primary evaluation factors and 8 determined secondary evaluation factors, and the third layer has m factors.
Calculating the average score of each evaluation factor of each layer, namely an index value C, after weighting and averaging the results of the index importance questionnaire; using it to calculate the corresponding scale function value;
the scale function constructed was:
Figure BDA0003037933910000071
in the formula (I), the compound is shown in the specification,
n represents evaluation index levels of different grades, and n is 1,2 and 3; i, j represents any two factors in the n-th layer index; i, j are positive integers;
bnijrepresents the nth layer factor CniRelative to CnjScale function value of (2), representing CniRatio CnjThe degree of importance of;
knijrepresents the nth layer factor CniAnd CnjC index value ratio ani/anj
k represents the ratio of the maximum value to the minimum value of the index value C in the same type factor of the level;
b represents the scale of the relative importance of the factor corresponding to k; the ratio of the expected values of the human beings for "almost", "slightly excellent", "very excellent" and "extremely excellent" is (1,1.30,1.77,2.40,3.63), respectively, and the traditional evaluation scale proposed in the traditional analytic hierarchy process is (1,3,5,7, 9);
after k is obtained, the k value is compared with the expected value ratio of b in a known sequence, and the calculation is converted into a traditional judgment scale, for example, k is 1.646 which is similar to 1.77, so that b takes 5, and then b is carried outnijCalculating a scale function value of (1);
p represents an adjustment coefficient, and when the selection criterion of the factor is that the larger the index value of C is, the better the index value is, the value is 1; otherwise, the value is-1;
constructing a judgment matrix P of index factors of each layer according to the calculation result of the scale function;
normalizing and normalizing the judgment matrix P, wherein the formula is as follows:
Figure BDA0003037933910000081
Figure BDA0003037933910000082
calculating a judgment matrix to solve the relative weight of a certain level factor to the factor dominating the previous level; calculating the relative weight W of each factor of the hierarchy by adopting a solving method, and sequencing the hierarchy list, wherein the formula is as follows:
Figure BDA0003037933910000083
and (3) carrying out consistency check on the judgment matrix P, wherein the formula is as follows:
Figure BDA0003037933910000084
Figure BDA0003037933910000085
Figure BDA0003037933910000086
in the formula, r is the order of the level judgment matrix;
the RI value has a corresponding relation with the matrix order, and when the order is 3,4,5,6,7,8 and 9 respectively, the corresponding RI value is 0.58,0.90,1.12,1.24,1.32,1.41 and 1.45 respectively;
when CR is less than 0.1, the consistency is checked to be passed, and the matrix is judged to be logically reasonable;
after the consistency check is passed, calculating the synthetic weight Q of the third layer evaluation factor relative to the total target, and carrying outLayer assembly SortingThe formula is as follows:
Q3i=W1i·W2i·W3i(i=1,2,3,...,m)
in the formula, W1i、W2iRepresents the weight of the first and second layer evaluation factors to which the ith evaluation factor of the third layer belongs, W3iA relative weight representing the evaluation factor;
preferably, the measuring and calculating device for evaluating the space quality of the community consumption circle of the present invention, the quality evaluating module is further configured to:
the membership degree refers to the membership degree of each evaluation factor to different evaluation levels, and a structural questionnaire method is adopted to obtain an evaluation set of evaluation factors of evaluation subjects, namely community residents;
evaluation factor set UnSingle factor u inni(i ═ 1, 2.. said., m) for comment level vnj(j=1,2,...,vm) Degree of membership of rnij,uniThe single-factor evaluation set is as follows:
rni={rni1,uni2,...,unim}
constructing an evaluation set evaluation matrix of m factors in the evaluation factor set according to the determined evaluation factor set and evaluation criterion and the membership degree and weight of each evaluation factor:
Figure BDA0003037933910000091
the influence of all factors is comprehensively considered by adopting multi-level fuzzy comprehensive evaluation, and the comprehensive evaluation score of the space quality of each community consumption circle is quantitatively calculated, wherein the formula is as follows:
Figure BDA0003037933910000092
wherein, B is the comprehensive evaluation score of the space quality of the community consumption circle, W is the weight vector of each factor, R is the membership vector of each factor, WiAs weights for the ith evaluation factor, "°" is the weighted average M (-) taken,
Figure BDA0003037933910000093
) Fuzzy synthesis operator;
preferably, according to the measuring and calculating device for evaluating the space quality of the community consumption circle, the area consumption circle space quality related factors are divided into three levels of evaluation indexes, and the first level evaluation index related factors comprise three levels of community consumption circle space quality, community consumption circle shop quality and community consumption circle business state richness; the secondary evaluation index related factors comprise eight types of regional and traffic, spatial layout of the consumer circle shop, landscape greening environment of the consumer circle, commodity characteristics, shop conditions, service and after sale, the abundance degree of the business state of the consumer circle with different distances and the business state demand of the five-minute consumer circle; the related factors of the three-level evaluation indexes comprise bus convenience, parking easiness, accessibility, shop layout, public activity space distribution, greening system, plant configuration, commodity types, commodity quality, commodity price, in-store environment, business time period and delivery service, the service level, the non-contact service, the on-line service, the five-minute walking consumption circle business state abundance, the ten-minute walking consumption circle business state abundance, the fifteen-minute walking consumption circle business state abundance, the five-minute consumption circle daily life goods class store requirement, the five-minute consumption circle vegetable and fruit fresh class store requirement, the five-minute consumption circle catering class store requirement, the five-minute consumption circle express post station class service requirement, the five-minute consumption circle clothing ornament class store requirement, the five-minute consumption circle medical goods class store requirement and the five-minute consumption circle hairdressing store requirement.
Compared with the prior art, the invention has the advantages that:
the invention starts from the multi-dimensional perspective, starts from the establishment of a multi-level and multi-factor evaluation model, screens multi-factors aiming at a specific object of a community consumption circle, establishes a special model and a measuring and calculating method of the space quality of the community consumption circle, forms a scientific and comprehensive space quality evaluation model, is clear, visual and easy to operate, not only makes up the deficiency of the quantitative research of the community consumption circle in the current stage on the micro scale, but also provides a scientific, effective and innovative method and way for identifying the space quality characteristics of the community consumption circle, provides guarantee for the planning and layout strategy customization of the community consumption circle in the current stage, and is the evaluation method of the space quality of the community consumption circle with multi-dimensional factor multi-level combined view angle. The method is suitable for evaluating the space quality of the current community consumption circle, provides visual reference for feeding back the configuration and layout conditions of the current community consumption circle, and further realizes the optimized layout of the community consumption circle.
Drawings
The invention is further illustrated by the following figures and examples:
fig. 1 is a schematic flow chart of a method for calculating a spatial quality evaluation of a community consumption circle according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of factor layers provided by an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a measuring and calculating device for evaluating the space quality of a community consumption circle according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a community circle of consumption research area according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating weights of spatial quality evaluation factors for community consumption circles according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a spatial quality evaluation result of a community consumption circle according to an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Detailed description of the preferred embodiment
As shown in fig. 1, an embodiment of the present invention provides a method for measuring and calculating quality evaluation of a city community consumption circle, including:
a numbering step S101, numbering each community in the research area so as to respectively carry out statistical measurement and calculation and numerical standardization processing on each community; the numbering step is only required for multiple communities and no numbering is required for one community.
And (S102) building a model, referring to relevant standards and specifications of community construction and expert opinions of professional fields, selecting relevant evaluation factors and comments of the space quality evaluation of the community consumption circle to be researched, and building a multi-level community consumption circle space quality evaluation model formed by multiple factors according to characteristic classification. The embodiment of the invention sufficiently considers the importance and the innovation of the aspects of community consumption circle space quality, shop quality, state abundance and the like for screening the related evaluation factors, and can select 26 small factors on eight levels including location and traffic, consumption circle shop space layout, consumption circle landscape greening environment, commodity characteristics, shop conditions, service and after sale, different distance consumption circle state abundance degrees and five-minute consumption circle state requirement. As shown in fig. 2, preferably, the first-level evaluation index correlation factor of the community consumption circle space evaluation includes three of community consumption circle space quality, community consumption circle store quality, and community consumption circle business state richness; the factors related to the secondary evaluation indexes comprise eight types of regional and traffic, spatial layout of the shops in the consumption circle, landscape greening environment of the consumption circle, commodity characteristics, shop conditions, service and after sale, the abundance degree of the business state of the consumption circle with different distances and the business state demand of the five-minute consumption circle; the related factors of the three-level evaluation indexes comprise bus convenience, parking easiness, accessibility, shop layout, public activity space distribution, greening system, plant configuration, commodity types, commodity quality, commodity price, in-store environment, business time period and delivery service, one or more of service level, non-contact service, on-line service, five-minute walking consumption circle business state abundance, ten-minute walking consumption circle business state abundance, fifteen-minute walking consumption circle business state abundance, five-minute consumption circle daily use item store demand, five-minute consumption circle vegetable and fruit fresh item store demand, five-minute consumption circle catering store demand, five-minute consumption circle express post station class service demand, five-minute consumption circle clothing and ornament class store demand, five-minute consumption circle medical item store demand and five-minute consumption circle beauty and hairdressing store demand; the significance and the weight of the community consumption space measurement model factor can be shown in the table 1;
table 1: community consumption circle space quality measurement model factor significance and scoring standard
Figure BDA0003037933910000111
Figure BDA0003037933910000121
Figure BDA0003037933910000131
The data acquisition S103 is used for acquiring relevant questionnaire interview data and network open source data of the community consumption circle space quality evaluation factor to be researched; the step is used for determining factor significance and an obtaining way, obtaining factors influencing the space satisfaction degree of residents and data influencing the space quality factors of the community consumption circle, and sorting related data;
data processing and analyzing S104, sorting, inducing and analyzing questionnaire interview data and network open source data, and calculating and determining the weight of each evaluation factor of the space quality of each community consumption circle by introducing a hierarchical analysis method of a scale function;
and the quality evaluation S105 quantitatively evaluates the space quality of each community consumption circle through multi-level fuzzy comprehensive evaluation based on the community resident demand according to the weight of the evaluation factor of the space quality of each community consumption circle to obtain a result.
Preferably, the numbering step S101 may specifically be:
the number of each community in the research area is marked as j, j equals 1,2, …, n; j and n are positive integers; n is the number of communities in the area under study; the model building S102 may specifically be:
and constructing a multi-level community consumption circle space quality evaluation model. According to the space quality characteristic induction of the community consumption circle, the three evaluation indexes are divided into three levels, and the three evaluation indexes are listed as C11Space quality of community consumption circle, C12Community Consumer circle store quality, C13The business state abundance of the community consumption circle; eight secondary evaluation indexes, C11The secondary evaluation index of (2): c21Location and traffic, C22Consumer circle store spatial layout, C23Landscaping environment of the consumption circle; c12The secondary evaluation index of (2): c24Characteristics of commercial products, C25Store conditions C26Service and after sale; c13The secondary evaluation index of (2): c27Richness of the trade state of the consumption circle at different distances, C28Five minutes consumption circle.
Selecting related three-level evaluation factors of the m community consumption circle space quality evaluations in the three-level evaluation indexes, and establishing a multi-level community consumption circle space quality evaluation model formed by the m three-level factors; the m-term factor is marked as C31,C32,…,C3mWherein m is positive integer and m is less than or equal to 26.
The data obtaining S103 may specifically be:
obtaining questionnaire interview data and network open source data of each factor layer of the community consumption circle space quality evaluation;
in calculating the weight W of each factor layeriIn the process, because the subjective assignment or the objective assignment is only used, the method and the device have the limitation, so that the embodiment of the invention can obtain the weight of each factor layer by using a subjective and objective synthesis method and AHP level analysis;
the data processing and analyzing S104 may specifically be:
the method comprises the steps of sorting, summarizing and analyzing related network open source data and questionnaire interview data to obtain data characteristics of each factor layer of the community consumption circle space quality evaluation, the importance expert scores of each factor and the evaluation values of each factor layer, and obtaining the weight of each factor layer by using an AHP (advanced high-performance packet) hierarchical analysis method introducing a scale function; the evaluation value of the ith factor layer of the spatial quality of the jth community consumption circle nth layer is represented as RnijN is 1,2, 3; the weight of the ith factor layer of the nth layer is represented as wniI is a positive integer, i is 1,2, …, m, and m is less than or equal to 26;
the quality evaluation S105 may specifically be:
carrying out fuzzy comprehensive evaluation according to the evaluation value of each factor layer of the space quality of each community consumption circle and the weight of each factor layer, and quantitatively calculating the comprehensive evaluation score formula of the space quality of each community consumption circle, wherein the comprehensive evaluation score formula comprises the following steps:
Figure BDA0003037933910000141
wherein B is the comprehensive evaluation of the space quality of the community consumption circleThe score is W is the weight vector of each factor, R is the membership vector of each factor, WiAs weights for the ith evaluation factor, "°" is the weighted average M (-) taken,
Figure BDA0003037933910000142
) And (5) fuzzy synthesis operator.
The scoring level of the factor selected in the constructing step S102 may be determined according to the data characteristics of the factor, and is mainly divided into five levels: good (5 points), good (4 points), general (3 points), poor (2 points) and poor (1 point), and the higher the grade of the index is, the higher the importance degree is. Preferably, the model building S102 may further include:
classifying the factors into three-level index factors according to the judgment of the attributes of the factors; the three-level evaluation factors respectively belong to different secondary evaluation indexes and primary evaluation indexes according to the attribution of the evaluation factors, and a multi-level community consumption circle space quality evaluation model is formed. Dividing each evaluation factor into five grading grades according to the data characteristics of each three-level evaluation factor, wherein each grading grade standard mainly refers to relevant specifications and standards such as urban residential area planning design standard GB 50180-2018, Shanghai City 15-minute community life circle planning guide rule, and expert opinions and community resident appeal in the professional field;
in the evaluation model, each evaluation factor constitutes the factor set of the evaluation, and the evaluation factor set U of the nth layernN is 1,2, 3; a total of m factors:
Un={un1,un2,...,unm}
for the evaluation value, an evaluation standard needs to be established to classify the result into a certain grade:
Vneither good, generally, poor, very bad)
Preferably, the data acquiring S103 may specifically be:
the questionnaire and interview data comprise an index importance questionnaire taking professional field experts as main interviewed objects and a space quality satisfaction questionnaire taking residents in a community consumption circle to be researched as main interviewed objects. The index importance questionnaire is used for acquiring data required for determining the weight of each factor layer of the community consumption circle space quality evaluation, and the space quality satisfaction questionnaire is used for acquiring data required for fuzzy comprehensive evaluation calculation of the community consumption circle space quality to be researched.
The data processing and analyzing S104 can be embodied as
The evaluation factors have different levels and different data processing modes; for the three-level evaluation indexes, the evaluation values and weights of all factor layers are respectively obtained according to analysis and summary of network open source data and data obtained by a space quality satisfaction degree questionnaire and an index importance questionnaire, and the specific steps are as follows:
determining the weight of each layer evaluation factor by using an AHP (analytic hierarchy process) introduced with a scale function, specifically:
the n-th layer in the evaluation model has m factors of 1,2,3 … m, and n is 1,2, 3; m is a positive integer and is less than or equal to 26; the index value C of each factor of each layer is an1,an2,...,anm
The first layer and the second layer of the evaluation model respectively correspond to 3 determined primary evaluation factors and 8 determined secondary evaluation factors, and the third layer has m factors.
Calculating the average score of each evaluation factor of each layer, namely an index value C, after weighting and averaging the results of the index importance questionnaire; using it to calculate the corresponding scale function value;
the scale function constructed was:
Figure BDA0003037933910000151
in the formula (I), the compound is shown in the specification,
n represents evaluation index levels of different grades, and n is 1,2 and 3; i, j represents any two factors in the n-th layer index; i, j are positive integers;
bnijrepresents the nth layer factor CniRelative to CnjScale function value of (2), representing CniRatio CnjDegree of importance of;
knijRepresents the nth layer factor CniAnd CnjC index value ratio ani/anj
k represents the ratio of the maximum value to the minimum value of the index value C in the same type factor of the level;
b represents the scale of the relative importance of the factor corresponding to k; the expected value ratios of the human beings for "almost", "slightly excellent", "very excellent" and "extremely excellent" are respectively (1,1.30,1.77,2.40,3.63), and respectively correspond to the conventional judgment scale proposed in the conventional analytic hierarchy process as b ═ (1,3,5,7, 9); after k is obtained, the k value is compared with the expected value ratio of b in a known sequence, and the calculation is converted into a traditional judgment scale, for example, k is 1.646 which is similar to 1.77, so that b takes 5, and then b is carried outnijCalculating a scale function value of (1);
p represents an adjustment coefficient, and when the selection criterion of the factor is that the larger the index value of C is, the better the index value is, the value is 1; otherwise, the value is-1;
constructing a judgment matrix P of index factors of each layer according to the calculation result of the scale function;
normalizing and normalizing the judgment matrix P, wherein the formula is as follows:
Figure BDA0003037933910000152
Figure BDA0003037933910000153
calculating a judgment matrix to solve the relative weight of a certain level factor to the factor dominating the previous level;
calculating the relative weight W of each factor of the hierarchy by adopting a solving method, and sequencing the hierarchy list, wherein the formula is as follows:
Figure BDA0003037933910000154
and (3) carrying out consistency check on the judgment matrix P, wherein the formula is as follows:
Figure BDA0003037933910000161
Figure BDA0003037933910000162
Figure BDA0003037933910000163
in the formula, r is the order of the level judgment matrix;
the RI value has a corresponding relation with the matrix order, and when the order is 3,4,5,6,7,8 and 9 respectively, the corresponding RI value is 0.58,0.90,1.12,1.24,1.32,1.41 and 1.45 respectively;
when CR is less than 0.1, the consistency is checked to be passed, and the matrix is judged to be logically reasonable;
[]after the consistency check is passed, calculating the synthetic weight Q of the third-layer evaluation factor relative to the total target, and performing the total hierarchical ordering, wherein the formula is as follows: q3i=W1i·W2i·W3i(i=1,2,3,...,m)
In the formula, W1i、W2iRepresents the weight of the first and second layer evaluation factors to which the ith evaluation factor of the third layer belongs, W3iA relative weight representing the evaluation factor;
specifically, different levels of evaluation factor models are established, index weights W of all levels are calculated by an AHP (analytic hierarchy process) introduced with a scale function, and after consistency inspection is passed, three-layer evaluation factor synthesis weights Q are calculated; taking the space quality of the community consumption circle, the shop quality of the community consumption circle and the business state abundance of the community consumption circle as first-level evaluation indexes; taking the regional and traffic, the spatial layout of the consumer circle shop, the landscape greening environment of the consumer circle, the commodity characteristics, the shop conditions, the service and after-sale, the state abundance degree of the consumer circle with different distances and the state requirements of the consumer circle with five minutes as secondary evaluation indexes; the public transportation convenience, parking easiness, accessibility, shop layout, public activity space distribution, greening system, plant configuration, commodity type, commodity quality, commodity price, in-store environment, business time period and delivery service, one or more of service level, non-contact service, on-line business, five-minute walking consumption circle business state abundance, ten-minute walking consumption circle business state abundance, fifteen-minute walking consumption circle business state abundance, five-minute consumption circle daily use goods class shop demand, five-minute consumption circle vegetable and fruit fresh class shop demand, five-minute consumption circle catering class shop demand, five-minute consumption circle express post station class service demand, five-minute consumption circle clothing ornament class shop demand, five-minute consumption circle medical goods class shop demand, and five-minute consumption circle beauty salon class shop demand serve as three-level evaluation indexes.
The quality evaluation S105 may specifically be:
the membership degree refers to the membership degree of each evaluation factor to different evaluation levels, and a structural questionnaire method is adopted to obtain an evaluation set of evaluation factors of evaluation subjects, namely community residents;
evaluation factor set UnSingle factor u inni(i ═ 1, 2.. said., m) for comment level vnj(j=1,2,...,vm) Degree of membership of rnij,uniThe single-factor evaluation set is as follows:
rni={rni1,uni2,...,unim}
constructing an evaluation set evaluation matrix of m factors in the evaluation factor set according to the determined evaluation factor set and the evaluation set, and the membership degree and the weight of each evaluation factor:
Figure BDA0003037933910000171
the influence of all factors is comprehensively considered by adopting multi-level fuzzy comprehensive evaluation, and the comprehensive evaluation score of the space quality of each community consumption circle is quantitatively calculated, wherein the formula is as follows:
Figure BDA0003037933910000172
wherein, B is the comprehensive evaluation score of the space quality of the community consumption circle, W is the weight vector of each factor, R is the membership vector of each factor, WiAs weights for the ith evaluation factor, "°" is the weighted average M (-) taken,
Figure BDA0003037933910000173
) And (5) fuzzy synthesis operator.
In the embodiment of the present invention, the number of factor layers is not limited, and preferably, m is 26. At this time, there are 26 factors, and the spatial quality of the community consumption circle is evaluated corresponding to the 26 factor layers.
According to the embodiment of the invention, firstly, according to the space demand of residents on a community consumption circle and the space characteristics and attributes of the community consumption circle, the acquirability and the quantifiability of data are integrated, relevant factors are selected, and a traditional evaluation index system is determined; then obtaining the weight of each factor; and finally, performing AHP hierarchical analysis on each factor to calculate the final space quality. The embodiment of the invention starts from a multi-dimensional angle, starts from the establishment of a multi-level evaluation model, screens multi-factors aiming at a specific object of a community consumption circle space, establishes a special model and a measuring and calculating method for the community consumption circle space evaluation, forms a scientific and comprehensive community consumption circle space quality evaluation model, is simple, intuitive and easy to operate, not only makes up the deficiency of the quantitative research of the community consumption circle space quality in the current stage on a micro scale, but also provides an innovative and scientific way and method for judging the community consumption circle space quality after a new crown epidemic situation, provides guarantee for the strategy customization of the quality improvement and development direction of the community consumption circle space in the current stage, and is a community consumption circle space quality evaluation method with a multi-dimensional element combination visual angle The quality of the shop and the abundance of the state are various, so that the evaluation result reaches the level of high comprehensive quantification of the space quality of the community consumption circle; the embodiment of the invention is suitable for evaluating the space quality of the community consumption circle in the current stage of normalization of the new crown epidemic situation, provides visual reference for the management of the existing community consumption circle, further realizes the purposes of effective feedback and timely correction of the existing space quality of the community consumption circle, can guide the improvement and corresponding adjustment of the space layout and management of the community consumption circle, has practical significance and use value, also provides a beneficial idea for the space research of the current community consumption circle, and has the key of sustainable development and maintenance of community vitality for commercial spaces such as the community consumption circle.
Specific application examples of the present invention are given below:
step 1: selecting a six-luck district located in the Tianhe area of Guangzhou city as a space quality evaluation object of the community consumption circle, as shown in FIG. 4.
Step 2: selecting the spatial quality related factors of the community consumption circle, establishing a traditional evaluation model consisting of a plurality of factors, and selecting 26 small factor layers of 3 large items and 8 small items including the spatial quality, the shop quality and the business state richness, as shown in figure 2.
And step 3: determining factor significance and an obtaining way, obtaining questionnaire interview data and network open source data of the community consumption circle space quality evaluation related factors to be researched, obtaining factors influencing the space satisfaction degree of residents and factor data influencing the community consumption circle space quality, and sorting related data and data.
And 4, step 4: in an evaluation model formed by taking a consumption circle space around a six-fortune cell as an evaluation object and 26 community consumption circle space quality correlation factors in 3 large items 8 as evaluation factors, n represents evaluation index levels with different levels, and is 1,2 and 3; i, j represents any two factors in the n-th layer index; i, j are positive integers.
Since each evaluation factor is in different levels, the basis is
Figure BDA0003037933910000181
Figure BDA0003037933910000182
Solving the relative weight of a certain level factor to the factor dominating the previous level; using summationsMethod of calculation based on
Figure BDA0003037933910000183
Obtaining relative weight Wni of each layer factor, and carrying out layer single sequencing;
through the steps, the space quality, the shop quality and the business state richness quality weight of the community consumption circle of the primary evaluation factor are 0.408, 0.204 and 0.388 in sequence; the weights of secondary evaluation factor zone positions and traffic, the spatial layout of the shops in the circle of consumption, the landscape greening environment in the circle of consumption, the commodity characteristics, the shop conditions, the service and after-sale, the abundance degree of the business state of the circle of consumption at different distances and the business state demand of the circle of consumption for five minutes are 0.640, 0.269, 0.091, 0.655, 0.214, 0.131, 0.416 and 0.584 in sequence; the three-level evaluation factors comprise the weight of bus convenience, parking easiness, accessibility, shop layout, public activity space distribution, greening system, plant configuration, commodity type, commodity quality, commodity price, in-store environment, business time period, delivery service, service level, non-contact service, online business, five-minute walking consumer circle state abundance, ten-minute walking consumer circle state abundance, fifteen-minute walking consumer circle state abundance, five-minute consumer circle daily life commodity store demand, five-minute consumer circle vegetable and fruit fresh store demand, five-minute consumer circle catering store demand, five-minute consumer circle express post station class service demand, five-minute consumer circle clothing and ornament class store demand, five-minute consumer circle medical and pharmaceutical store demand, five-minute consumer circle hairdressing store demand which are 0.394, 394, five-minute consumer circle hairdressing store demand, 0.202, 0.404, 0.491, 0.509, 0.527, 0.473, 0.366, 0.423, 0.211, 0.514, 0.486, 0.241, 0.384, 0.128, 0.247, 0.368, 0.421, 0.211, 0.203, 0.204, 0.139, 0.193, 0.051, 0.158, 0.052.
Through consistency test, calculating the synthetic weight Q of the third-layer evaluation factor relative to the total target, performing total hierarchical ordering, and finally performing total hierarchical ordering according to Q3i=W1i·W2i·W3i(i ═ 1,2, 3.. times, m) yields the composite weights of the 26-term factors of the 3 major terms 8 for the spatial quality of the community circle of six fortune cells: 0.103, 0.053, 0105, 0.054, 0.056, 0.020, 0.018, 0.049, 0.057, 0.028, 0.022, 0.021, 0.006, 0.010, 0.003, 0.007, 0.059, 0.068, 0.034, 0.046, 0.031, 0.044, 0.011, 0.036, 0.012, and the final weight calculation results are shown in fig. 6.
Establishing different levels of evaluation factor models, calculating the relative weight W of each level index by introducing an AHP (analytic hierarchy process) of a scale function, and calculating the synthetic weight Q of three-level evaluation factors after consistency check is passed; taking the space quality of the community consumer circle, the shop quality of the community consumer circle and the business state abundance of the community consumer circle as first-level evaluation indexes; taking the regional and traffic, the spatial layout of the consumer circle shop, the landscape greening environment of the consumer circle, the commodity characteristics, the shop conditions, the service and after-sale, the state abundance degree of the consumer circle with different distances and the state requirements of the consumer circle with five minutes as secondary evaluation indexes; the public transportation convenience, parking easiness, accessibility, shop layout, public activity space distribution, greening system, plant configuration, commodity type, commodity quality, commodity price, in-store environment, business time period and delivery service, one or more of service level, non-contact service, on-line business, five-minute walking consumption circle business state abundance, ten-minute walking consumption circle business state abundance, fifteen-minute walking consumption circle business state abundance, five-minute consumption circle daily use goods class shop demand, five-minute consumption circle vegetable and fruit fresh class shop demand, five-minute consumption circle meal drink shop demand, five-minute consumption circle express post station class service demand, five-minute consumption circle clothing ornament class shop demand, five-minute consumption circle medical goods class shop demand and five-minute consumption circle beauty and hairdressing shop demand are used as three-level evaluation indexes;
and 5: the influence of all factors is comprehensively considered by adopting multi-level fuzzy comprehensive evaluation according to
Figure BDA0003037933910000191
And quantitatively calculating the comprehensive evaluation score of the space quality of each community consumption circle.
The weights of all the factors obtained in the step 4 are collected, and scores of the first-level evaluation factors of the quality of the community circle of six fortune, the space quality, the shop quality and the business state richness are calculated through the method in the step 5 and are 3.673, 3.755 and 3.884 in sequence; the secondary evaluation factor zone position and traffic, the spatial layout of the consumer circle stores, the landscaping environment of the consumer circle, the commodity characteristics, the store conditions, the service and the after-sale, the abundance degree of the consumer circle state at different distances and the scores of the five-minute consumer circle state requirements are 3.786, 3.459, 3.518, 3.670, 3.783, 3.688, 4.347 and 3.560 in sequence; the three-level evaluation factors of bus convenience, parking easiness, accessibility, shop layout, public activity space distribution, greening system, plant configuration, commodity type, commodity quality, commodity price, in-store environment, business time period, delivery service, service level, non-contact service, on-line business, five-minute walking consumer circle state abundance, ten-minute walking consumer circle state abundance, fifteen-minute walking consumer circle state abundance, five-minute consumer circle daily use product store balance degree, five-minute consumer circle fruit fresh product store balance degree, five-minute consumer circle catering store balance degree, five-minute consumer circle express delivery post service balance degree, five-minute consumer circle clothing decoration store balance degree, five-minute consumer circle medical product store balance degree, five-minute consumer circle beauty and hairdressing store balance degree are 4.170, and, 2.570, 4.000, 3.390, 3.520, 3.780, 3.220, 3.830, 3.780, 3.170, 3.780, 3.830, 3.780, 3.220, 3.700, 4.170, 4.170, 4.220, 3.610, 3.390, 4.260, 3.350, 3.870, 3.220 and 3.650, and the space quality evaluation score of the community consumption circle of the six lucky cells is 3.787 by combining the influences of all factors, as shown in fig. 6.
In the above embodiment, a method for measuring and calculating the spatial quality of a community consumption circle is provided, and correspondingly, a device for measuring and calculating the spatial quality of the community consumption circle is also provided. Since the apparatus embodiments are substantially similar to the method embodiments, they are described in a relatively simple manner, with reference to the description of the method embodiments in part. The device embodiments described below are merely illustrative.
The invention starts from the multi-dimensional perspective, starts from the establishment of a multi-level and multi-factor evaluation model, screens multi-factors aiming at a specific object of a community consumption circle, establishes a special model and a measuring and calculating method of the space quality of the community consumption circle, forms a scientific and comprehensive space quality evaluation model, is clear, visual and easy to operate, not only makes up the deficiency of the quantitative research of the community consumption circle in the current stage on the micro scale, but also provides a scientific, effective and innovative method and way for identifying the space quality characteristics of the community consumption circle, provides guarantee for the planning and layout strategy customization of the community consumption circle in the current stage, and is the evaluation method of the space quality of the community consumption circle with multi-dimensional factor multi-level combined view angle. The method is suitable for evaluating the space quality of the current community consumption circle, provides visual reference for feeding back the configuration and layout conditions of the current community consumption circle, and further realizes the optimized layout of the community consumption circle.
The present invention has been described in terms of its practical application, and it is to be understood that the above description and drawings are only illustrative of the presently preferred embodiments of the invention and are not to be considered as limiting, since all changes that come within the meaning and range of equivalency of the claims are to be embraced within their scope.

Claims (10)

1. A method for measuring and calculating the space quality evaluation of a community consumption circle is characterized by comprising the following steps:
constructing a model: looking up relevant standards and specifications of community construction, selecting a community consumption circle space quality evaluation factor to be researched, establishing the standards, classifying according to characteristics, and constructing a multi-level community consumption circle space quality evaluation model;
data acquisition: acquiring relevant questionnaire interview data and network open source data of a community consumption circle space quality evaluation factor to be researched;
data processing and analysis: sorting, inducing and analyzing the interview data and the network open source data of the relevant questionnaires, inviting experts to score the importance of factors, and calculating and determining the weight of the space quality evaluation factors of the community consumption circle by introducing an analytic hierarchy process of a scale function;
and (3) quality evaluation: and quantitatively evaluating the space quality of the community consumption circle according to the evaluation factor weight of the space quality of the community consumption circle and based on multi-level fuzzy comprehensive evaluation of the demands of community residents to obtain a result.
2. A method for calculating a spatial quality rating of a community consumption circle according to claim 1, wherein the model is constructed by:
and constructing a multi-level community consumption circle space quality evaluation model. Dividing three-level evaluation indexes according to the space quality characteristic induction of the community consumption circle, and listing three first-level evaluation indexes which are respectively C11Space quality of community consumption circle, C12Community Consumer circle store quality, C13The business state abundance of the community consumption circle; eight secondary evaluation indexes, C11The secondary evaluation index of (2): c21Location and traffic, C22Consumer circle store spatial layout, C23Landscaping environment of the consumption circle; c12The secondary evaluation index of (2): c24Characteristics of commercial products, C25Store conditions C26Service and after sale; c13The secondary evaluation index of (2): c27Richness of the trade state of the consumption circle at different distances, C28Five minutes consumption circle industry demand;
selecting m tertiary evaluation factors for evaluating the space quality of the community consumption circle in the tertiary evaluation indexes, and establishing a multi-level community consumption circle space quality evaluation model formed by the m tertiary factors; the m-term factor is marked as C31,C32,…,C3mWherein m is a positive integer and is less than or equal to 26;
the data acquisition specifically comprises: acquiring relevant questionnaire interview data and network open source data of each factor layer of space quality evaluation of each community consumption circle;
the data processing and analyzing specifically comprises the following steps: collating related network open source data and questionnaire interview dataSummarizing and analyzing to obtain data characteristics of a community consumption circle space quality evaluation factor layer, factor importance expert scores and evaluation values of the factor layer, and obtaining the weight of each factor layer by using an AHP analytic hierarchy process introducing a scale function; the evaluation value of the ith factor layer of the spatial quality of the jth community consumption circle nth layer is represented as RnijN is 1,2, 3; the weight of the ith factor layer of the nth layer is represented as wniI is a positive integer, i is 1,2, …, m;
the quality evaluation specifically comprises the following steps: carrying out fuzzy comprehensive evaluation according to the evaluation value and the weight of the space quality factor layer of the community consumption circle, wherein a comprehensive evaluation score formula for quantitatively calculating the space quality of the community consumption circle is as follows:
Figure RE-FDA0003168533570000011
wherein, B is the comprehensive evaluation score of the space quality of the community consumption circle, W is a factor weight vector, R is a factor membership vector, W is a factor membership vectoriFor the weight of the ith evaluation factor, "°" is the weighted average M (· @) fuzzy synthesis operator employed.
3. The method for calculating the spatial quality evaluation of the community circle of consumption according to claim 2, wherein the model construction further comprises:
the three-level evaluation factors respectively belong to different secondary evaluation indexes and primary evaluation indexes according to the attribution of the three-level evaluation factors, and a multi-level community consumption circle space quality evaluation model is formed;
dividing the evaluation factors into five grading grades according to the data characteristics of the three-level evaluation factors, wherein the grading grade standard mainly refers to relevant specifications and standards such as urban residential area planning design standard GB 50180-2018, Shanghai city 15-minute community life circle planning guide rule and the like, community resident appeal and expert opinions in the professional field;
in the evaluation model, the evaluation factor of each level forms the factor set of the evaluation,
for layer 1 evaluation factor set U1And 3 factors in total:
U1={u11,u12,u13}
for layer 2 evaluation factor set U2And a total of 8 factors:
U2={u21,u22,...,u28}
for layer 3 evaluation factor set U3And m factors:
U3={u31,u32,...,u3m}
for the evaluation value, an evaluation standard needs to be established to classify the result into a certain grade: vnGood, generally, poor, very bad).
4. A method for calculating a spatial quality rating of a community circle of consumption according to claim 3, wherein the data acquisition specifically comprises:
obtaining questionnaire interview data and network open source data of a community consumption circle space quality evaluation factor layer;
the questionnaire and interview data comprise an index importance questionnaire taking professional field experts as main interviewed objects and a space quality satisfaction questionnaire taking residents in a community consumption circle to be researched as main interviewed objects. The index importance questionnaire is used for acquiring data required for determining the community consumption circle spatial quality evaluation factor layer weight, and the spatial quality satisfaction questionnaire is used for acquiring data required for fuzzy comprehensive evaluation calculation of the community consumption circle spatial quality to be researched;
the data processing and analyzing specifically comprises the following steps:
according to analysis and summary of network open source data related to each community consumption circle, the weight and evaluation value of each factor layer are respectively obtained by data obtained by an index importance questionnaire and a space quality satisfaction questionnaire;
the method comprises the following specific steps:
determining the weight of each layer evaluation factor by using an AHP (analytic hierarchy process) introduced with a scale function, specifically:
the n-th layer in the evaluation model has m factors of 1,2,3 … m, and n is 1,2, 3; m is a positive integer and is less than or equal to 26; the index value C of each factor of each layer is an1,an2,...,anm
The first layer and the second layer of the evaluation model respectively correspond to 3 determined primary evaluation factors and 8 determined secondary evaluation factors, and the third layer has m factors.
Calculating the average score of each evaluation factor of each layer, namely an index value C, after weighting and averaging the results of the index importance questionnaire; using it to calculate the corresponding scale function value;
the scale function constructed was:
Figure RE-FDA0003168533570000021
in the formula (I), the compound is shown in the specification,
n represents an evaluation index hierarchy, and n is 1,2, 3; i, j represents any two factors in the n-th layer index; i, j are positive integers;
bnijrepresents the nth layer factor CniRelative to CnjScale function value of (2), representing CniRatio CnjThe degree of importance of;
knijrepresents the nth layer factor CniAnd CnjC index value ratio ani/anj
k represents the ratio of the maximum value to the minimum value of the index value C in the same type factor of the level;
b represents the scale of the relative importance of the factor corresponding to k; the expected value ratios of the human beings for "almost", "slightly excellent", "very excellent" and "extremely excellent" are respectively (1,1.30,1.77,2.40,3.63), and respectively correspond to the conventional judgment scale proposed in the conventional analytic hierarchy process as b ═ (1,3,5,7, 9);
after k is obtained, the k value is compared with the expected value ratio of b in a known sequence, and the calculation is converted into a traditional judgment scale, for example, k is 1.646 which is similar to 1.77, so that b takes 5, and then b is carried outnijCalculating a scale function value of (1);
p represents an adjustment coefficient, and when the selection criterion of the factor is that the larger the index value of C is, the better the index value is, the value is 1; otherwise, the value is-1;
constructing a judgment matrix P of index factors of each layer according to the calculation result of the scale function;
normalizing and normalizing the judgment matrix P, wherein the formula is as follows:
Figure RE-FDA0003168533570000031
Figure RE-FDA0003168533570000032
calculating a judgment matrix to solve the relative weight of a certain level factor to the factor dominating the previous level; calculating the relative weight W of each factor of the hierarchy by adopting a solving method, and sequencing the hierarchy list, wherein the formula is as follows:
Figure RE-FDA0003168533570000033
and (3) carrying out consistency check on the judgment matrix P, wherein the formula is as follows:
Figure RE-FDA0003168533570000034
Figure RE-FDA0003168533570000035
Figure RE-FDA0003168533570000036
in the formula, r is the order of the level judgment matrix;
the RI value has a corresponding relation with the matrix order, and when the order is 3,4,5,6,7,8 and 9 respectively, the corresponding RI value is 0.58,0.90,1.12,1.24,1.32,1.41 and 1.45 respectively;
when CR is less than 0.1, the consistency is checked to be passed, and the matrix is judged to be logically reasonable;
after the consistency check is passed, calculating the synthetic weight Q of the third-layer evaluation factor relative to the total target, and performing the total hierarchical ordering, wherein the formula is as follows:
Q3i=W1i·W2i·W3i(i=1,2,3,...,m)
in the formula, W1i、W2iRepresents the weight of the first and second layer evaluation factors to which the ith evaluation factor of the third layer belongs, W3iA relative weight representing the evaluation factor;
the quality evaluation specifically comprises the following steps:
the membership degree refers to the membership degree of each evaluation factor to different evaluation levels, and a structural questionnaire method is adopted to obtain an evaluation set of evaluation factors for evaluation subjects, namely community residents;
evaluation factor set UnSingle factor u inni(i ═ 1, 2.. said., m) for comment level vnj(j=1,2,...,vm) Degree of membership of rnij,uniThe single factor evaluation set is as follows:
rni={rni1,uni2,...,unim}
constructing an evaluation set evaluation matrix of m factors in the evaluation factor set according to the determined evaluation factor set and evaluation criterion, and the membership degree and weight of the evaluation factors:
Figure RE-FDA0003168533570000041
the influence of all factors is comprehensively considered by adopting multi-level fuzzy comprehensive evaluation, and the comprehensive evaluation score of the space quality of each community consumption circle is quantitatively calculated by the formula:
Figure RE-FDA0003168533570000042
wherein, B is the comprehensive evaluation score of the space quality of the community consumption circle, W is the weight vector of each factor, R is the membership vector of each factor, WiFor the weight of the ith evaluation factor, "°" is the weighted average M (· @) fuzzy synthesis operator employed.
5. The method for measuring and calculating the spatial quality evaluation of the community consumption circle according to any one of claims 1 to 4, wherein the first-level evaluation index related factors of the spatial quality evaluation of the community consumption circle comprise three factors of the spatial quality of the community consumption circle, the shop quality of the community consumption circle and the state richness of the community consumption circle; the secondary evaluation index related factors comprise eight types of zone bit and traffic, spatial layout of the consumer circle shop, landscape greening environment of the consumer circle, commodity characteristics, shop conditions, service and after sale, the state abundance degree of the consumer circle with different distances and the demand of the five-minute consumer circle; the related factors of the three-level evaluation indexes comprise bus convenience, parking easiness, accessibility, shop layout, public activity space distribution, greening system, plant configuration, commodity types, commodity quality, commodity price, in-store environment, business time period and delivery service, the service level, the non-contact service, the on-line service, the five-minute walking consumption circle business state abundance, the ten-minute walking consumption circle business state abundance, the fifteen-minute walking consumption circle business state abundance, the five-minute consumption circle daily use goods class store requirement, the five-minute consumption circle vegetable and fruit fresh class store requirement, the five-minute consumption circle catering class store requirement, the five-minute consumption circle express post station class service requirement, the five-minute consumption circle clothing ornament class store requirement, the five-minute consumption circle medical goods class store requirement and the five-minute consumption circle hairdressing shop requirement.
6. A measuring and calculating device for evaluating the space quality of a community consumption circle is characterized by comprising:
the numbering module is used for numbering communities to be researched selected in the research range;
the model construction module is used for selecting factors for evaluating the space quality of the community consumption circle to be researched and constructing a multi-level community consumption circle space quality evaluation model consisting of a plurality of factors;
the data acquisition module is used for acquiring relevant questionnaire interview data and network open source data of the community consumption circle space quality evaluation factors;
the data processing and analyzing module is used for sorting, summarizing and analyzing related questionnaire interview data and network open source data, consulting expert opinions of urban and rural planning and carrying out factor importance scoring, and calculating and determining the weight of the space quality evaluation factor of the community consumption circle by introducing an analytic hierarchy process of a scale function;
and the quality evaluation module is used for quantitatively evaluating the space quality of the community consumption circle according to the weight of the space quality evaluation factor of the community consumption circle and based on multi-level fuzzy comprehensive evaluation of the demand of community residents to obtain a result.
7. The apparatus for calculating the spatial quality of a community circle of consumption of claim 6, wherein the community numbering module is configured to:
the number of communities in the research range is marked as j, j is 1,2,3, … n, and j and n are positive integers; n is the number of communities in the research range;
the model building module is configured to:
and constructing a multi-level community consumption circle space quality evaluation model. According to the space quality characteristic induction of the community consumption circle, the three evaluation indexes are divided into three grades, and the three first-grade evaluation indexes are listed and are respectively C11Space quality of community consumption circle, C12Community Consumer circle store quality, C13The business state abundance of the community consumption circle; eight secondary evaluation indexes, C11The secondary evaluation index of (2): c21Location and traffic, C22Consumer circle store spatial layout, C23Landscaping environment of the consumption circle; c12The secondary evaluation index of (2): c24Characteristics of commercial products, C25Store conditions C26Service and after sale; c13The secondary evaluation index of (2): c27Different distance consumption circle business state abundance,C28Five minutes consumption circle.
Selecting m tertiary evaluation factors for evaluating the space quality of the community consumption circle in the tertiary evaluation indexes, and establishing a multi-level community consumption circle space quality evaluation model formed by the m tertiary factors; the m-term factor is marked as C31,C32,…,C3mWherein m is a positive integer and is less than or equal to 26;
the data acquisition module is used for:
acquiring relevant questionnaire interview data and network open source data of each factor layer of space quality evaluation of each community consumption circle;
the data processing and analyzing module is used for:
sorting, summarizing and analyzing related network open source data and questionnaire interview data to obtain data characteristics of a community consumption circle space quality evaluation factor layer, factor importance expert scores and evaluation values of the factor layer, and obtaining the weight of each factor layer by using an AHP analytic hierarchy process introducing a scale function; the evaluation value of the ith factor layer of the spatial quality of the jth community consumption circle nth layer is represented as RnijN is 1,2, 3; the weight of the ith factor layer of the nth layer is represented as wniI is a positive integer, i is 1,2, …, m;
the quality evaluation module is used for:
carrying out fuzzy comprehensive evaluation according to the evaluation value and the weight of the space quality factor layer of the community consumption circle, wherein a comprehensive evaluation score formula for quantitatively calculating the space quality of the community consumption circle is as follows:
Figure RE-FDA0003168533570000051
wherein, B is the comprehensive evaluation score of the space quality of the community consumption circle, W is the weight vector of each factor, R is the membership vector of each factor, and W isiFor the weight of the ith evaluation factor, "°" is the weighted average M (· @) fuzzy synthesis operator employed.
8. The apparatus for calculating the spatial quality of a community circle according to claim 7, wherein the model building module further comprises:
the three-level evaluation factors respectively belong to different secondary evaluation indexes and primary evaluation indexes according to the attribution of the three-level evaluation factors, and a multi-level community consumption circle space quality evaluation model is formed;
the evaluation factors are divided into five grading grades according to the data characteristics of the three-level evaluation factors, and the grading grade standard mainly refers to relevant specifications and standards such as urban residential area planning design standard GB 50180-2018, Shanghai city 15-minute community life circle planning guide rule and the like, community resident requirements and expert opinions in the professional field.
In the evaluation model, each evaluation factor of each level forms a factor set of the evaluation,
for layer 1 evaluation factor set U1And 3 factors in total:
U1={u11,u12,u13}
for layer 2 evaluation factor set U2And a total of 8 factors:
U2={u21,u22,...,u28}
for layer 3 evaluation factor set U3And m factors:
U3={u31,u32,...,u3m}
for the evaluation value, an evaluation standard needs to be established to classify the result into a certain grade: vnGood, generally, poor, very bad).
9. The apparatus for calculating the spatial quality of a community circle of consumption of claim 8, wherein the data acquisition module is configured to:
acquiring field questionnaires and interview data and network open source data of a community consumption circle space quality evaluation factor layer;
the questionnaire and interview data comprise an index importance questionnaire taking professional field experts as main interviewed objects and a space quality satisfaction questionnaire taking residents in a community consumption circle to be researched as main interviewed objects. The index importance questionnaire is used for acquiring data required for determining the community consumption circle spatial quality evaluation factor layer weight, and the spatial quality satisfaction questionnaire is used for acquiring data required for fuzzy comprehensive evaluation calculation of the community consumption circle spatial quality to be researched;
the data processing and analyzing module is used for:
the specific steps of respectively obtaining the weight and the evaluation value of each factor layer according to the analysis and the summary of the network open source data related to each community consumption circle and the data obtained by an index importance questionnaire and a space quality satisfaction questionnaire are as follows:
determining the weight of each layer evaluation factor by using an AHP (analytic hierarchy process) introduced with a scale function, specifically:
the n-th layer in the evaluation model has m factors of 1,2,3 … m, and n is 1,2, 3; m is a positive integer; the index value C of each factor of each layer is an1,an2,...,anm
The first layer and the second layer of the evaluation model respectively correspond to 3 determined primary evaluation factors and 8 determined secondary evaluation factors, and the third layer has m factors.
Calculating the average score of each evaluation factor of each layer, namely an index value C, after weighting and averaging the results of the index importance questionnaire; using it to calculate the corresponding scale function value;
the scale function constructed was:
Figure RE-FDA0003168533570000061
in the formula (I), the compound is shown in the specification,
n represents evaluation index levels of different grades, and n is 1,2 and 3; i, j represents any two factors in the n-th layer index; i, j are positive integers;
bnijrepresents the nth layer factor CniRelative to CnjScale function value of (2), representing CniRatio CnjThe degree of importance of;
knijrepresents the nth layer factor CniAnd CnjC index value ratio ani/anj
k represents the ratio of the maximum value to the minimum value of the index value C in the same type factor of the level;
b represents the scale of the relative importance of the factor corresponding to k; the expected value ratios of the human beings for "almost", "slightly excellent", "very excellent" and "extremely excellent" are respectively (1,1.30,1.77,2.40,3.63), and respectively correspond to the conventional judgment scale proposed in the conventional analytic hierarchy process as b ═ (1,3,5,7, 9);
after k is obtained, the k value is compared with the expected value ratio of b in a known sequence, and the calculation is converted into a traditional judgment scale, for example, k is 1.646 which is similar to 1.77, so that b takes 5, and then b is carried outnijCalculating a scale function value of (1);
p represents an adjustment coefficient, and when the selection criterion of the factor is that the larger the index value of C is, the better the index value is, the value is 1; otherwise, the value is-1;
constructing a judgment matrix P of index factors of each layer according to the calculation result of the scale function;
normalizing and normalizing the judgment matrix P, wherein the formula is as follows:
Figure RE-FDA0003168533570000071
Figure RE-FDA0003168533570000072
by calculating the judgment matrix, the method solves the problem that a certain level factor dominates the factor of the previous levelRelative weight(ii) a Calculating the relative weight W of each factor of the hierarchy by a legal methodHierarchical single orderingThe formula is as follows:
Figure RE-FDA0003168533570000073
and (3) carrying out consistency check on the judgment matrix P, wherein the formula is as follows:
Figure RE-FDA0003168533570000074
Figure RE-FDA0003168533570000075
Figure RE-FDA0003168533570000076
in the formula, r is the order of the level judgment matrix;
the RI value has a corresponding relation with the matrix order, and when the order is 3,4,5,6,7,8 and 9 respectively, the corresponding RI value is 0.58,0.90,1.12,1.24,1.32,1.41 and 1.45 respectively;
when CR is less than 0.1, the consistency is checked to be passed, and the matrix is judged to be logically reasonable;
after the consistency check is passed, calculating the synthetic weight Q of the third layer evaluation factor relative to the total target, and carrying outLayer bus Sequence of stepsThe formula is as follows:
Q3i=W1i·W2i·W3i(i=1,2,3,...,m)
in the formula, W1i、W2iRepresents the weight of the first and second layer evaluation factors to which the ith evaluation factor of the third layer belongs, W3iA relative weight representing the evaluation factor;
the quality evaluation module is used for:
the membership degree refers to the membership degree of each evaluation factor to different evaluation levels, and a structural questionnaire method is adopted to obtain an evaluation set of evaluation factors for evaluation subjects, namely community residents;
evaluation factor set UnSingle factor u inni(i ═ 1, 2.. said., m) for comment level vnj(j=1,2,...,vm) Degree of membership of rnij,uniThe single factor evaluation set is as follows:
rni={rni1,uni2,...,unim}
constructing an evaluation set evaluation matrix of m factors in the evaluation factor set according to the determined evaluation factor set and evaluation criterion and the membership degree and weight of each evaluation factor:
Figure RE-FDA0003168533570000081
the influence of all factors is comprehensively considered by adopting multi-level fuzzy comprehensive evaluation, and the comprehensive evaluation score of the space quality of each community consumption circle is quantitatively calculated by the formula:
Figure RE-FDA0003168533570000082
wherein, B is the comprehensive evaluation score of the space quality of the community consumption circle, W is the weight vector of each factor, R is the membership vector of each factor, WiFor the weight of the ith evaluation factor, "°" is the weighted average M (· @) fuzzy synthesis operator employed.
10. The measuring and calculating device for the community consumption circle space quality evaluation according to any one of claims 6 to 9, wherein the first-level evaluation index related factors of the community consumption circle space quality evaluation comprise three of community consumption circle space quality, community consumption circle shop quality and community consumption circle business state richness; the secondary evaluation index related factors comprise eight types of zone bit and traffic, spatial layout of the consumer circle shop, landscape greening environment of the consumer circle, commodity characteristics, shop conditions, service and after sale, the state abundance degree of the consumer circle with different distances and the demand of the five-minute consumer circle; the related factors of the three-level evaluation indexes comprise bus convenience, parking easiness, accessibility, shop layout, public activity space distribution, greening system, plant configuration, commodity types, commodity quality, commodity price, in-store environment, business time period and delivery service, the service level, the non-contact service, the on-line service, the five-minute walking consumption circle business state abundance, the ten-minute walking consumption circle business state abundance, the fifteen-minute walking consumption circle business state abundance, the five-minute consumption circle daily use goods class store requirement, the five-minute consumption circle vegetable and fruit fresh class store requirement, the five-minute consumption circle catering class store requirement, the five-minute consumption circle express post station class service requirement, the five-minute consumption circle clothing ornament class store requirement, the five-minute consumption circle medical goods class store requirement and the five-minute consumption circle hairdressing shop requirement.
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* Cited by examiner, † Cited by third party
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CN117035565A (en) * 2023-10-10 2023-11-10 之江实验室 Community service management method, device, equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117035565A (en) * 2023-10-10 2023-11-10 之江实验室 Community service management method, device, equipment and storage medium

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