Pocket park planning method and system based on old urban demographic statistics

Abstract

The invention provides a pocket park planning method and system based on population statistics of an old urban district, and the method comprises the steps: obtaining site information according to the sizes of a plurality of candidate sites of the old urban district and the number of residential population counted within a preset distance range; obtaining pocket park planning data according to the activity area proportion of the pocket park and the proportion of the number of accommodated people to the activity area; according to the site information and the pocket park planning data, obtaining a planning score for planning each candidate site as a pocket park; and determining a target site for pocket park planning from the candidate sites according to the planning score. The convenience and obtaining efficiency of the pocket park planning construction site can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of park planning, and in particular to a pocket park planning method and system based on population statistics of old urban areas. Background Art

[0002] Pocket parks refer to park greening activity sites that are open to the public, small in scale, diverse in shape, and have certain recreational functions. The area is generally between 400 and 10,000 square meters, including small parks, small green spaces, etc. Pocket parks, also known as pocket parks, refer to very small urban open spaces. Since large parks occupy a large area, location selection is difficult, and construction takes a long time, and the old city has a large permanent population, it is difficult to build large parks in the old city. It is more appropriate to plan and build pocket parks in the old city than large parks. However, there are many factors to consider in planning the construction of pocket parks. Therefore, the existing technology has the disadvantages of difficulty in planning and constructing pocket parks and low efficiency. Summary of the invention

[0003] The purpose of the present invention is to provide a pocket park planning method and system based on the old city population statistics, which can overcome the shortcomings and deficiencies in the prior art.

[0004] A first aspect of an embodiment of the present invention provides a pocket park planning method based on old urban area demographics, comprising:

[0005] According to the site sizes of multiple candidate sites in the old city and the number of residents counted within a preset distance range, site information is obtained;

[0006] According to the proportion of activity area in pocket parks and the ratio of the number of people accommodated to the activity area, the planning data of pocket parks are obtained;

[0007] According to the site information and pocket park planning data, obtaining a planning score for each candidate site to be planned as a pocket park;

[0008] According to the planning scores, a target site for pocket park planning is determined from various candidate sites.

[0009] Furthermore, the step of obtaining a planning score for each candidate site planned as a pocket park according to the site information and pocket park planning data includes:

[0010] According to the size of the venue, the proportion of the activity area, and the ratio of the number of people accommodated to the activity area, the maximum number of people accommodated of the corresponding candidate venue is obtained;

[0011] The planning score is obtained based on the maximum number of people that the site can accommodate and the number of residents.

[0012] Furthermore, the step of obtaining the planning score according to the maximum number of people accommodated by the site and the number of residents includes:

[0013] The planning score is determined by the ratio of the maximum number of people that the venue can accommodate to the number of residents.

[0014] Furthermore, after the step of obtaining the planning score of each candidate site as a pocket park according to the site information and the pocket park planning data, the step further includes:

[0015] Obtaining the venue distance of adjacent candidate venues, and if the venue distance is less than a preset distance threshold, comparing the maximum number of people that can be accommodated by the corresponding candidate venues;

[0016] According to a preset scoring weight, the planning score of the candidate venue with a smaller maximum venue capacity is modified; wherein the scoring weight is greater than 0 and less than 1.

[0017] Furthermore, the step of determining a target site for pocket park planning from each candidate site according to the planning score includes:

[0018] Obtain the number of pocket parks planned in the old town;

[0019] Based on the number of pocket park plans, target sites for pocket park planning are determined from candidate sites according to the planning scores from high to low.

[0020] Furthermore, the step of determining a target site for pocket park planning from each candidate site according to the planning score includes:

[0021] Obtain the maximum number of people that can be accommodated in the urban park of the old city;

[0022] From each candidate site, the maximum number of people that can be accommodated at the corresponding candidate site is calculated one by one according to the planning scores from high to low, until the difference between the obtained number of people that can be accommodated at the superposition and the maximum number of people that can be accommodated at the urban park is greater than or equal to a preset number difference threshold;

[0023] The candidate sites corresponding to the superimposed number of people will be determined as the target sites for pocket park planning.

[0024] A second aspect of an embodiment of the present invention provides a pocket park planning system based on old urban area demographics, including:

[0025] A site information acquisition module is used to obtain site information based on the site sizes of multiple candidate sites in the old city and the number of residents counted within a preset distance range;

[0026] The pocket park planning data acquisition module obtains the pocket park planning data according to the proportion of the activity area of ​​the pocket park and the ratio of the number of people accommodated to the activity area;

[0027] A planning score acquisition module, used to acquire a planning score for each candidate site to be planned as a pocket park according to the site information and pocket park planning data;

[0028] The target site determination module is used to determine the target site for pocket park planning from various candidate sites according to the planning score.

[0029] Furthermore, the planning score acquisition module includes:

[0030] A submodule for obtaining the maximum number of people that can be accommodated at a venue, for obtaining the maximum number of people that can be accommodated at a corresponding candidate venue according to the size of the venue, the proportion of the activity area, and the ratio of the number of people that can be accommodated to the activity area;

[0031] The planning score acquisition submodule is used to obtain the planning score according to the maximum number of people that the site can accommodate and the number of residents.

[0032] Furthermore, the planning score acquisition submodule is used to determine the planning score by taking the ratio of the maximum number of people that can be accommodated at the venue to the number of residents.

[0033] Furthermore, a planning score modification module is also included, and the planning score modification module includes:

[0034] A distance-to-number comparison module is used to obtain the distance between adjacent candidate venues. If the distance between the venues is less than a preset distance threshold, the maximum number of people that can be accommodated by the corresponding candidate venues is compared;

[0035] The scoring modification submodule is used to modify the planning score of the candidate venue with a smaller maximum venue capacity according to a preset scoring weight; wherein the scoring weight is greater than 0 and less than 1.

[0036] Compared with the prior art, the present invention can obtain site information based on the site sizes of multiple candidate sites in the old city and the number of residents counted within a preset distance range, and obtain pocket park planning data based on the proportion of the activity area of ​​the pocket park and the ratio of the number of people accommodated to the activity area; then, based on the site information and pocket park planning data, obtain the planning score of each candidate site planned as a pocket park, so as to determine the target site for pocket park planning from each candidate site according to the planning score. That is, the present invention combines the number of residents counted within a preset distance range of the candidate sites in the old city and the pocket park planning data to obtain the planning scores of multiple candidate sites in the old city, which can efficiently, quickly and accurately determine the target site for pocket park planning, thereby improving the convenience and acquisition efficiency of planning and construction sites for pocket parks.

[0037] In order to more clearly understand the present invention, the specific implementation of the present invention will be described below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 The present invention is a flowchart of a pocket park planning method based on old city demographics according to an embodiment of the present invention.

[0039] Figure 2 This is a schematic diagram of module connections of a pocket park planning system based on old city demographics according to an embodiment of the present invention.

[0040] 1. Site information acquisition module; 2. Pocket park planning data acquisition module; 3. Planning score acquisition module; 4. Target site determination module. DETAILED DESCRIPTION

[0041] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0042] It should be clear that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments in the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the embodiments of the present invention.

[0043] When the following description relates to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. In the description of the present invention, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. The singular forms of "a", "said" and "the" used in the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. The words "if" / "if" used herein can be interpreted as "at the time of" or "when" or "in response to determination".

[0044] In addition, in the description of the present invention, unless otherwise specified, "plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0045] See also Figure 1 , which is a flow chart of a pocket park planning method based on old city demographics according to an embodiment of the present invention, comprising:

[0046] S1: obtaining site information according to the site sizes of multiple candidate sites in the old city and the number of residents counted within a preset distance range;

[0047] The preset distance range may be set by the user.

[0048] S2: According to the proportion of activity area in pocket parks and the ratio of the number of people accommodated to the activity area, pocket park planning data is obtained;

[0049] Among them, the activity area ratio refers to the ratio of the activity area in the pocket park to the overall area of ​​the pocket park, and the overall area of ​​the pocket park includes at least the activity area and the green area. The activity area refers to the area in the pocket park used to provide activities for people, and the green area refers to the area in the pocket park used to plant vegetation such as flowers, trees, etc., wherein the green area can also be used to place user landscaping props for viewing, such as potted plants, ornamental stones, etc. Optionally, the pocket park can also include a lake construction area, and the lake construction area refers to the area used to build artificial lakes or streams in the pocket park. Specifically, the activity area ratio of the pocket park and the ratio of the number of people accommodated to the activity area can be input and modified by the user, but the activity area ratio of the pocket park needs to be within the range of the preset activity area ratio threshold, and the ratio of the number of people accommodated to the activity area also needs to be within the range of the preset ratio threshold.

[0050] S3: Obtaining a planning score for each candidate site to be planned as a pocket park according to the site information and pocket park planning data;

[0051] The planning score can be obtained through a preset scoring data acquisition process based on the site information and pocket park planning data, or it can be obtained by outputting a trained planning score prediction network model. The planning score prediction network model can use site information training samples and pocket park planning data training samples as data, and the corresponding planning score training samples as output to train the neural network model.

[0052] S4: According to the planning score, a target site for pocket park planning is determined from various candidate sites.

[0053] In a feasible embodiment, the step of S3: obtaining a planning score for each candidate site planned as a pocket park according to the site information and pocket park planning data, comprises:

[0054] S301: Obtaining the maximum number of people that can be accommodated at the corresponding candidate venue according to the venue size, the activity area ratio, and the ratio of the number of people that can be accommodated to the activity area;

[0055] S302: Obtain the planning score according to the maximum number of people that the site can accommodate and the number of residents.

[0056] In a feasible embodiment, the step S302: obtaining the planning score according to the maximum number of people that the site can accommodate and the number of residents, includes:

[0057] The planning score is determined by the ratio of the maximum number of people that the venue can accommodate to the number of residents.

[0058] In a feasible embodiment, after the step of obtaining the planning score of each candidate site as a pocket park according to the site information and the pocket park planning data, S3 further includes:

[0059] S31: obtaining the venue distance of adjacent candidate venues, and if the venue distance is less than a preset distance threshold, comparing the maximum number of people that can be accommodated by the corresponding candidate venues;

[0060] S32: modifying the planning score of the candidate venue with a smaller maximum venue capacity according to a preset score weight; wherein the score weight is greater than 0 and less than 1.

[0061] The scoring weight can be set by the user. Specifically, the scoring weight can be multiplied by the planning score to modify the original planning score.

[0062] In a feasible embodiment, the step S4: determining a target site for pocket park planning from various candidate sites according to the planning score, comprises:

[0063] S401: Obtain the number of pocket parks planned in the old city;

[0064] S402: Based on the number of pocket park plans, target sites for pocket park planning are determined from candidate sites according to the planning scores from high to low.

[0065] The number of target sites in step S402 is the same as the number of pocket parks planned.

[0066] In a feasible embodiment, the step S4: determining a target site for pocket park planning from various candidate sites according to the planning score, comprises:

[0067] S411: Obtaining the maximum number of people that can be accommodated in the urban park of the old city;

[0068] S412: From each candidate site, according to the planning scores from high to low, the maximum number of people that can be accommodated of the corresponding candidate sites is calculated one by one, until the difference between the obtained number of people that can be accommodated and the maximum number of people that can be accommodated in the urban park is greater than or equal to a preset number difference threshold;

[0069] The number difference threshold can be set by the user.

[0070] S413: Determine each candidate site corresponding to the superimposed number of people to be accommodated as a target site for pocket park planning.

[0071] Compared with the prior art, the present invention can obtain site information based on the site sizes of multiple candidate sites in the old city and the number of residents counted within a preset distance range, and obtain pocket park planning data based on the proportion of the activity area of ​​the pocket park and the ratio of the number of people accommodated to the activity area; then, based on the site information and pocket park planning data, obtain the planning score of each candidate site planned as a pocket park, so as to determine the target site for pocket park planning from each candidate site according to the planning score. That is, the present invention combines the number of residents counted within a preset distance range of the candidate sites in the old city and the pocket park planning data to obtain the planning scores of multiple candidate sites in the old city, which can efficiently, quickly and accurately determine the target site for pocket park planning, thereby improving the convenience and acquisition efficiency of planning and construction sites for pocket parks.

[0072] See also Figure 2 The second embodiment of the present invention provides a pocket park planning system based on old urban area demographics, including:

[0073] A site information acquisition module is used to obtain site information based on the site sizes of multiple candidate sites in the old city and the number of residents counted within a preset distance range;

[0074] The pocket park planning data acquisition module obtains the pocket park planning data according to the proportion of the activity area of ​​the pocket park and the ratio of the number of people accommodated to the activity area;

[0075] A planning score acquisition module, used to acquire a planning score for each candidate site to be planned as a pocket park according to the site information and pocket park planning data;

[0076] The target site determination module is used to determine the target site for pocket park planning from various candidate sites according to the planning score.

[0077] In a feasible embodiment, the planning score acquisition module includes:

[0078] A submodule for obtaining the maximum number of people that can be accommodated at a venue, for obtaining the maximum number of people that can be accommodated at a corresponding candidate venue according to the size of the venue, the proportion of the activity area, and the ratio of the number of people that can be accommodated to the activity area;

[0079] The planning score acquisition submodule is used to obtain the planning score according to the maximum number of people that the site can accommodate and the number of residents.

[0080] In a feasible embodiment, the planning score acquisition submodule is used to determine the planning score by taking the ratio of the maximum number of people that can be accommodated in the venue to the number of residents.

[0081] In a feasible embodiment, a planning score modification module is further included, and the planning score modification module includes:

[0082] A distance-to-number comparison module is used to obtain the distance between adjacent candidate venues. If the distance between the venues is less than a preset distance threshold, the maximum number of people that can be accommodated by the corresponding candidate venues is compared;

[0083] The scoring modification submodule is used to modify the planning score of the candidate venue with a smaller maximum venue capacity according to a preset scoring weight; wherein the scoring weight is greater than 0 and less than 1.

[0084] It should be noted that the pocket park planning system based on the old city demographics provided by the second embodiment of the present invention only uses the division of the above-mentioned functional modules as an example when executing the pocket park planning method based on the old city demographics. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the pocket park planning system based on the old city demographics provided by the second embodiment of the present invention and the pocket park planning method based on the old city demographics provided by the first embodiment of the present invention belong to the same concept. The implementation process thereof is detailed in the method embodiment, which will not be repeated here.

[0085] The device embodiments described above are merely illustrative, wherein the components described as separate parts may or may not be physically separated, and the parts shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of the present invention. Those of ordinary skill in the art may understand and implement it without creative work.

[0086] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0087] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the function selected in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 function selected in a box or multiple boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 steps for the function selected in a box or multiple boxes.

[0089] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0090] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0091] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0092] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0093] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A pocket park planning method based on old city population statistics, characterized in that: include: According to the site sizes of multiple candidate sites in the old city and the number of residents counted within a preset distance range, site information is obtained; According to the proportion of activity area in pocket parks and the ratio of the number of people accommodated to the activity area, the planning data of pocket parks are obtained; According to the site information and pocket park planning data, obtaining a planning score for each candidate site to be planned as a pocket park; According to the planning scores, a target site for pocket park planning is determined from various candidate sites.

2. The pocket park planning method based on old city demographics according to claim 1 is characterized in that: The step of obtaining a planning score for each candidate site planned as a pocket park according to the site information and the pocket park planning data comprises: According to the size of the venue, the proportion of the activity area, and the ratio of the number of people accommodated to the activity area, the maximum number of people accommodated of the corresponding candidate venue is obtained; The planning score is obtained based on the maximum number of people that the site can accommodate and the number of residents.

3. The pocket park planning method based on old city demographics according to claim 2 is characterized in that: The step of obtaining the planning score according to the maximum number of people that the site can accommodate and the number of residents comprises: The planning score is determined by the ratio of the maximum number of people that the venue can accommodate to the number of residents.

4. The pocket park planning method based on old city demographics according to claim 2 or 3 is characterized in that: After the step of obtaining the planning score of each candidate site as a pocket park according to the site information and the pocket park planning data, the step further includes: Obtaining the venue distance of adjacent candidate venues, and if the venue distance is less than a preset distance threshold, comparing the maximum number of people that can be accommodated by the corresponding candidate venues; According to a preset scoring weight, the planning score of the candidate venue with a smaller maximum venue capacity is modified; wherein the scoring weight is greater than 0 and less than 1.

5. The pocket park planning method based on old city demographics according to claim 1 is characterized in that: The step of determining a target site for pocket park planning from various candidate sites according to the planning scores includes: Obtain the number of pocket parks planned in the old town; Based on the number of pocket park plans, target sites for pocket park planning are determined from candidate sites according to the planning scores from high to low.

6. The pocket park planning method based on old city demographics according to claim 1 is characterized in that: The step of determining a target site for pocket park planning from various candidate sites according to the planning scores includes: Obtain the maximum number of people that can be accommodated in the urban park of the old city; From each candidate site, the maximum number of people that can be accommodated at the corresponding candidate site is calculated one by one according to the planning scores from high to low, until the difference between the obtained number of people that can be accommodated at the superposition and the maximum number of people that can be accommodated at the urban park is greater than or equal to a preset number difference threshold; The candidate sites corresponding to the superimposed number of people will be determined as the target sites for pocket park planning.

7. A pocket park planning system based on old city demographics, characterized in that: include: A site information acquisition module is used to obtain site information based on the site sizes of multiple candidate sites in the old city and the number of residents counted within a preset distance range; The pocket park planning data acquisition module obtains the pocket park planning data according to the proportion of the activity area of ​​the pocket park and the ratio of the number of people accommodated to the activity area; A planning score acquisition module, used to acquire a planning score for each candidate site to be planned as a pocket park according to the site information and pocket park planning data; The target site determination module is used to determine the target site for pocket park planning from various candidate sites according to the planning score.

8. The pocket park planning system based on old city demographics according to claim 7 is characterized in that: The planning score acquisition module includes: A submodule for obtaining the maximum number of people that can be accommodated at a venue, for obtaining the maximum number of people that can be accommodated at a corresponding candidate venue according to the size of the venue, the proportion of the activity area, and the ratio of the number of people that can be accommodated to the activity area; The planning score acquisition submodule is used to obtain the planning score according to the maximum number of people that the site can accommodate and the number of residents.

9. The pocket park planning system based on old city demographics according to claim 8 is characterized in that: The planning score acquisition submodule is used to determine the planning score by taking the ratio of the maximum number of people that can be accommodated at the venue to the number of residents.

10. The pocket park planning system based on old city demographics according to claim 7 or 8, characterized in that: It also includes a planning score modification module, which includes: A distance-to-number comparison module is used to obtain the distance between adjacent candidate venues. If the distance between the venues is less than a preset distance threshold, the maximum number of people that can be accommodated by the corresponding candidate venues is compared; The scoring modification submodule is used to modify the planning score of the candidate venue with a smaller maximum venue capacity according to a preset scoring weight; wherein the scoring weight is greater than 0 and less than 1.

Images