Public space self-attractive force analysis method based on urbanization resident behavior characteristics

Abstract

This invention discloses a method for analyzing the self-attractiveness of public spaces based on the behavioral characteristics of urban residents, including the following steps: (1) Data preprocessing: Collect objective data on the scale, function, and population size of urban public spaces within a fixed statistical period, classify public spaces in urban residential areas by type, and perform data preprocessing; (2) Spatial vitality analysis: Analyze the vitality of public spaces from two aspects, namely, analyze the degree of residents' gathering in designated public spaces and the stability of their stay in public spaces; (3) Spatial optimization and adjustment: Optimize and adjust urban residential public spaces based on residents' usage needs, the scope of space optimization, and the existing resource allocation of various public spaces. This invention improves the utilization rate of urban public spaces and accurately positions the future development direction of new urban construction, enabling effective planning of various public space resources and avoiding resource waste.

Description

Technical Field

[0001] This invention relates to the technical field of urban public space data processing methods, specifically to a method for analyzing the self-attraction of public spaces based on the behavioral characteristics of urban residents. Background Technology

[0002] Currently, there is a wealth of research on urban public space design both domestically and internationally, but research on residents' needs for public spaces in newly developed urban areas is extremely lacking. Residents of new urban communities have experienced changes in their living environment, making them highly susceptible to integration difficulties such as livelihood challenges, blurred identity, and broken interpersonal relationships, severely hindering the healthy development of these communities. Utilizing big data analytics to develop forward-looking design strategies based on resident behavior data offers a higher rate of data mining and utilization compared to traditional "top-down" urban public space design. This allows for more direct and authentic feedback based on historical data. Based on the analysis results, new urban community construction projects can be optimized according to specific needs, enabling designers to more accurately grasp the characteristics of public spaces in new urban communities, thereby continuously enhancing the vitality of community public spaces and promoting the sustainable development of new urban communities. Summary of the Invention

[0003] This invention addresses the issue of urban development shifting from quantity to quality, requiring the development of a scientific and rational comprehensive analysis method for urban public spaces.

[0004] To solve the above-mentioned technical problems, the technical solution provided by this invention is: a method for analyzing the self-attraction of public spaces based on the behavioral characteristics of urbanized residents, comprising the following method steps:

[0005] (1) Data preprocessing: Collect objective data on the scale, function and population size of urban public spaces within a fixed statistical period, classify public spaces in urban residential areas by type, and perform data preprocessing;

[0006] (2) Spatial vitality analysis: The vitality analysis of public spaces is conducted from two aspects, namely, the degree of residents' gathering in designated public spaces and the stability of their stay in public spaces. The specific analysis method is as follows:

[0007] (2-1) Within a fixed statistical period, the number of residents of different age groups visiting public spaces and the frequency of visits are obtained to express the degree of resident gathering in various public spaces. The ratio of the number of residents visiting public spaces to the effective usable area of ​​the public space within the fixed statistical period is obtained, and the formula is expressed as follows: , The degree of concentration of residents in age group i in public space j; The number of residents in age group i who visit public space j within a fixed statistical period; The statistical period (the smallest unit of calculation is days); The number of times residents visited public space j; I represents residents under the age of 24, II represents residents aged 25-59, and III represents residents aged 60 and above; Let j be the effective area in the public space. The number of residents of age group i who meet the corresponding stay duration in public space j is defined. The stay duration of residents of different age groups in the public space is recorded and the stay duration is statistically segmented to express the stability of residents' continuous activities in the public space.

[0008] (2-2) Obtain the number of residents visiting public spaces and the effective visit rate to express the degree of residents gathering in various public spaces; the degree of gathering and the stability of continuous activities together reflect the vitality of public spaces;

[0009] (3) Spatial optimization and adjustment: By statistically analyzing the variance of residents' self-attraction in different types of public spaces, the optimizable range of different resource allocations in various types of public spaces can be obtained. The self-attraction of urban residents in different types of public spaces can be jointly determined by the effective access rate of residents in public spaces and the degree of residents' aggregation in public spaces, including: , Let be the self-attraction value of public space j; The degree of occupancy of public space j; The degree of gathering of residents in public space j, and The weights should be determined based on the category of public space; the public spaces in urban residential areas should be optimized and adjusted according to residents' usage needs, the scope of space optimization, and the existing resource allocation of various public spaces.

[0010] Furthermore, step (1) divides the public spaces in urban residential areas into four categories according to their functions: commercial space, leisure space, green space and sanitary space.

[0011] Further, in step (2), the ratio of the total duration of all residents staying in a type of public space to the number of residents visiting the space within a fixed statistical period is obtained as the average duration of residents staying in that space, including: , Let be the average length of time a resident stays in public space j; T is the length of time a resident stays, with the smallest unit of T rounded down to the nearest minute. The total number of residents visiting public spaces.

[0012] The advantages of this invention compared to existing technologies are as follows: This invention classifies public spaces in new urban areas according to function, obtaining configuration data for each type of public space and its corresponding local population. Simultaneously, it categorizes residents visiting various public spaces by age group, making subsequent analysis more refined. Furthermore, it statistically analyzes the visit rate and effective visit rate of residents in each type of public space for each age group, using the ratio of the product of visit rates to the total number of visits to reflect the degree of resident concentration in each type of public space. It obtains the duration of stay for residents of different age groups in a type of public space as the stability of their continuous activity. The concentration and stability values ​​of residents in each type of public space together reflect the vitality of each type of public space. Finally, it obtains the degree of optimization for each type of public space for residents of different age groups, thereby improving the utilization rate of urban public spaces and accurately positioning the future development direction of new urban construction, enabling effective planning of various public space resources and avoiding resource waste. Attached Figure Description

[0013] Figure 1 This is a system flowchart of the self-attraction analysis method for public spaces based on the behavioral characteristics of urbanized residents, as described in this invention. Detailed Implementation

[0014] The following detailed description, in conjunction with the accompanying drawings, provides a further explanation of the self-attraction analysis method for public spaces based on the behavioral characteristics of urbanized residents.

[0015] The method for analyzing the self-attractiveness of public spaces based on the behavioral characteristics of urbanized residents includes the following steps:

[0016] (1) Data preprocessing: Collect objective data on the scale, function and population size of urban public spaces within a fixed statistical period, classify public spaces in urban residential areas by type, and perform data preprocessing;

[0017] (2) Spatial vitality analysis: The vitality analysis of public spaces is conducted from two aspects, namely, the degree of residents' gathering in designated public spaces and the stability of their stay in public spaces. The specific analysis method is as follows:

[0018] (2-1) Within a fixed statistical period, the number of residents of different age groups visiting public spaces and the frequency of visits are obtained to express the degree of resident gathering in various public spaces. The ratio of the number of residents visiting public spaces to the effective usable area of ​​the public space within the fixed statistical period is obtained, and the formula is expressed as follows: , The degree of concentration of residents in age group i in public space j; The number of residents in age group i who visit public space j within a fixed statistical period; The statistical period (the smallest unit of calculation is days); The number of times residents visited public space j; I represents residents under the age of 24, II represents residents aged 25-59, and III represents residents aged 60 and above; Let j be the effective area in the public space. The number of residents of age group i who meet the corresponding stay duration in public space j is defined. The stay duration of residents of different age groups in the public space is recorded and the stay duration is statistically segmented to express the stability of residents' continuous activities in the public space.

[0019] (2-2) Obtain the number of residents visiting public spaces and the effective visit rate to express the degree of residents gathering in various public spaces; the degree of gathering and the stability of continuous activities together reflect the vitality of public spaces;

[0020] (3) Spatial optimization and adjustment: By statistically analyzing the variance of residents' self-attraction in different types of public spaces, the optimizable range of different resource allocations in various types of public spaces can be obtained. The self-attraction of urban residents in different types of public spaces can be jointly determined by the effective access rate of residents in public spaces and the degree of residents' aggregation in public spaces, including: , Let be the self-attraction value of public space j; The degree of occupancy of public space j; The degree of gathering of residents in public space j, and The weights should be determined based on the category of public space; the public spaces in urban residential areas should be optimized and adjusted according to residents' usage needs, the scope of space optimization, and the existing resource allocation of various public spaces. Example

[0021] Spatial vitality analysis: The vitality analysis of public spaces is conducted from two parts, namely, the degree of residents gathering in designated public spaces and the stability of their stay in public spaces.

[0022] The degree of resident concentration in public spaces requires obtaining the visit rate of residents of each age group in public spaces within a fixed statistical period. This includes: obtaining the ratio of the number of residents of each age group in public spaces to the total number of people visiting the same public space within a fixed statistical period; and setting the corresponding dwell time of residents of each age group in the same public space based on the concentration time of attention in behavioral psychology and the outdoor activity time of residents of each age group, which is set as follows: I is residents under the age of 24, with an activity time of 10 minutes or more; II is residents aged 25-59, with an activity time of 15 minutes or more; and III is residents aged 60 and above, with an activity time of 20 minutes or more.

[0023] Within a fixed statistical period, the number and frequency of visits to public spaces by residents of different age groups are obtained to represent the degree of resident concentration in various public spaces. The ratio of the number of visits to public spaces by residents to the effective usable area of ​​the public space within the fixed statistical period is obtained, expressed by the following formula: , The degree of concentration of residents in age group i in public space j; The number of residents in age group i who visit public space j within a fixed statistical period; The statistical period (the smallest unit of calculation is days); The number of times residents visited public space j; I represents residents under the age of 24, II represents residents aged 25-59, and III represents residents aged 60 and above; Let j be the effective area in the public space. Let Gij be the number of residents of age group i who meet the corresponding stay duration in public space j. The higher the concentration value of residents of each age group in each type of public space, the greater the attractiveness of that type of space to residents of age group i.

[0024] The average length of stay for all residents visiting public space j within a fixed statistical period (the smallest unit of calculation is days). ,in The total duration of the visitor's stay (in minutes, rounded down). The number of visitors from the resident community. The larger the value, the longer the time that all residents visiting public space j stay.

[0025] On a certain weekday in summer in a town in Shandong ( Taking the statistical data of [location] as an example, the following table analyzes the activity level of residents aged 60 and above in visiting public spaces in the town:

[0026]

[0027] Analysis shows that residents aged 60 and above are the most active users of recreational spaces, with the highest levels of gathering and average stay duration among all types of public spaces. Hygiene spaces are second, but their average stay duration is less than that of commercial spaces, indicating that commercial spaces attract visitors to stay longer, but are less attractive to residents aged 60 and above. Green spaces have the lowest levels of gathering and average stay duration, reflecting the weaker attraction of public greenery to visitors.

[0028] As a further explanation of the present invention, step (1) divides the public space in urban residential areas into four categories according to their functions: commercial space, leisure space, green space and sanitary space.

[0029] Commercial spaces are outdoor public spaces where residents can engage in commercial activities within a selected area, such as commercial streets and markets within and near the residential area; leisure spaces are outdoor public spaces where residents can engage in leisure activities and exercise, such as plazas with fitness equipment and children's play areas within the residential area; green spaces are public green areas within the residential area, including lawns, horticultural landscapes, and shared vegetable gardens; and sanitation spaces are public places within the residential area that provide sanitation services to residents, such as public toilets, public pools, and convenient medical facilities.

[0030] Based on the classification of public spaces, the scale and population coverage of each type of public space are statistically analyzed, and the per capita area of ​​each type of public space in each town is calculated. Based on the per capita area of ​​each type of public space in each town, the basic conditions of each type of public space are quantified and divided into three levels: high, medium, and low. The larger the per capita area of ​​public space, the higher the level. The specific values ​​are set according to the actual situation of each town.

[0031] A fixed statistical period is set, and the residents visited within the statistical period are divided into age groups. Based on the age groups determined by the World Health Organization and the current situation of the town, the residents are divided into three groups: I = under 24 years old, II = 25-59 years old, and III = 60 years old and above. It should be noted that the age divisions here can be adjusted according to the different characteristics of each town. Implementers need to set them according to the specific circumstances of the town, and n age groups can be set.

[0032] As a further explanation of the present invention, step (2), which involves obtaining the ratio of the total duration of all residents staying in a type of public space to the number of residents visiting the space within a fixed statistical period, as the average duration of residents staying in that space, includes: , Let be the average length of time a resident stays in public space j; T is the length of time a resident stays, with the smallest unit of T rounded down to the nearest minute. The total number of residents visiting public spaces.

[0033] As a further explanation of the present invention, the effective visit volume in public space j is calculated based on the average length of stay of all residents visiting public space j. This refers to the number of visitors whose visitor count is greater than or equal to the average length of time spent by all residents. Effective visit count. The ratio of the number of people (n) served by this type of public space is the effective access rate of the public space, which includes: , The effective access rate of public space j; The number of residents who effectively visit public space j within a fixed statistical period (duration of stay) ); The total population radiated by public space j.

[0034] As a further explanation of the present invention, obtaining the concentration of residents in each type of urban public space within a fixed statistical period includes: obtaining the ratio of the number of residents visiting the public space to the effective usable area of ​​the public space within the fixed statistical period, expressed by the following formula: , The degree of concentration of residents in age group i in public space j; The number of residents in age group i who visit public space j within a fixed statistical period; The statistical period (the smallest unit of calculation is days); The number of times residents visited public space j; I represents residents under the age of 24, II represents residents aged 25-59, and III represents residents aged 60 and above; Let j be the effective area in the public space. The number of residents in age group i who meet the corresponding stay duration in public space j.

[0035] As a further explanation of the present invention, the self-attractiveness of urban residents in different types of public spaces can be determined jointly by the effective access rate of residents in public spaces and the degree of aggregation of residents in public spaces, including: , Let be the self-attraction value of public space j; The degree of occupancy of public space j; The degree of gathering of residents in public space j, and The weight should be determined based on the category of the public space.

[0036] As a further explanation of the present invention, the public space is categorized into commercial space, leisure space, green space, and sanitary space. and To retrieve the value.

[0037] As a further explanation of the present invention, the public spaces in urban residential areas are optimized and adjusted, including obtaining the maximum vitality of residents of all ages in various public spaces, and optimizing and adjusting the resource allocation in various public spaces in combination with the current situation.

Claims

1. A method for analyzing the self-attraction of public spaces based on the behavioral characteristics of urbanized residents, characterized by: The following methods and steps are included: (1) Data preprocessing: Collect objective data on the scale, function and population size of urban public spaces within a fixed statistical period, classify public spaces in urban residential areas by type, and perform data preprocessing; (2) Spatial vitality analysis: The vitality analysis of public spaces is conducted from two aspects, namely, the degree of residents' gathering in designated public spaces and the stability of their stay in public spaces. The specific analysis method is as follows: (2-1) Within a fixed statistical period, the number of residents of different age groups visiting public spaces and the frequency of visits are obtained to express the degree of resident gathering in various public spaces. The ratio of the number of residents visiting public spaces to the effective usable area of ​​the public space within the fixed statistical period is obtained, and the formula is expressed as follows: , The degree of concentration of residents in age group i in public space j; The number of residents in age group i who visit public space j within a fixed statistical period; The statistical period is measured in days; The number of times residents visited public space j; I represents residents under the age of 24, II represents residents aged 25-59, and III represents residents aged 60 and above; Let j be the effective area in the public space. The number of residents of age group i who meet the corresponding stay duration in public space j is defined. The stay duration of residents of different age groups in the public space is recorded and the stay duration is statistically segmented to express the stability of residents' continuous activities in the public space. (2-2) Obtain the number of residents visiting public spaces and the effective visit rate to express the degree of residents gathering in various public spaces; the degree of gathering and the stability of continuous activities together reflect the vitality of public spaces; (3) Spatial optimization and adjustment: By statistically analyzing the variance of residents' self-attraction in different types of public spaces, the optimizable range of different resource allocations in various types of public spaces can be obtained. The self-attraction of urban residents in different types of public spaces can be jointly determined by the effective access rate of residents in public spaces and the degree of residents' aggregation in public spaces, including: , Let be the self-attraction value of public space j; The degree of occupancy of public space j; The degree of gathering of residents in public space j, and The weights should be determined based on the category of public space; the public spaces in urban residential areas should be optimized and adjusted according to residents' usage needs, the scope of space optimization, and the existing resource allocation of various public spaces.

2. The method for analyzing the self-attraction of public spaces based on the behavioral characteristics of urbanized residents as described in claim 1, characterized in that: Step (1) divides the public spaces in urban residential areas into four categories according to their functions: commercial space, leisure space, green space and sanitary space.

3. The method for analyzing the self-attraction of public spaces based on the behavioral characteristics of urbanized residents as described in claim 1, characterized in that: In step (2), the ratio of the total time spent by all residents in a type of public space to the number of residents visiting the space within a fixed statistical period is obtained as the average time spent by residents in that space. This includes: , Let be the average length of time a resident stays in public space j; T is the length of time a resident stays, with the smallest unit of T being the integer part of minutes. The total number of residents visiting public spaces.

4. The method for analyzing the self-attraction of public spaces based on the behavioral characteristics of urbanized residents as described in claim 1, characterized in that: Based on the average length of stay of all residents visiting public space j, the effective visit volume in public space j is calculated. Effective visit count refers to the number of visitors whose visit duration is greater than or equal to the average stay duration of all residents. The ratio of the number of people (n) served by this type of public space is the effective access rate of the public space, which includes: , The effective access rate of public space j; This refers to the number of residents who effectively visit public space j within a fixed statistical period, and the duration of their stay. ; The total population radiated by public space j.

5. The method for analyzing the self-attraction of public spaces based on the behavioral characteristics of urbanized residents as described in claim 1, characterized in that: Based on the categories of commercial space, leisure space, green space, and sanitation space in public spaces and To retrieve the value.

6. The method for analyzing the self-attraction of public spaces based on the behavioral characteristics of urbanized residents according to claim 1, characterized in that: Optimize and adjust public spaces in urban residential areas, including obtaining the maximum activity levels of residents of all ages in various public spaces, and optimizing and adjusting the resource allocation in various public spaces based on the current situation.

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