CN110675298B - Method, device and equipment for acquiring regional position balance - Google Patents

Method, device and equipment for acquiring regional position balance Download PDF

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CN110675298B
CN110675298B CN201810717246.9A CN201810717246A CN110675298B CN 110675298 B CN110675298 B CN 110675298B CN 201810717246 A CN201810717246 A CN 201810717246A CN 110675298 B CN110675298 B CN 110675298B
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area
average passing
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work
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CN110675298A (en
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孟璐
毛鑫
王璐
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Baidu Online Network Technology Beijing Co Ltd
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Abstract

The invention provides a method, a device and equipment for acquiring regional occupation balance, wherein the method comprises the following steps: acquiring the region type of a target region; acquiring a target crowd in a target area according to the area type, and extracting the working average passing time and the working average passing distance of the target crowd; calculating the separation index of the target area according to the work average passing time and the work average passing distance; and comparing the separation index of the target area with a preset threshold, and if the separation index is smaller than the preset threshold, determining that the target area meets the work and live balance requirement. Therefore, the accuracy of acquiring the regional position balance is improved by quantitatively analyzing the regional position balance by using the spatiotemporal data.

Description

Method, device and equipment for acquiring regional position balance
Technical Field
The invention relates to the technical field of big data, in particular to a method, a device and equipment for acquiring regional occupation balance.
Background
The basic connotation of the balance of the positions refers to that in a given region, the number of workers in residents is approximately equal to the number of employment posts, namely, the number of the workers and the number of residents are approximately in a balanced state, and most of the residents can work nearby. For example, commuting traffic can adopt walking, bicycles and other modes, and the distance and the time of going are short even if the motor vehicles are used, so that the use of the motor vehicles, particularly cars, is favorably reduced, and traffic jam and air pollution are reduced. The balance of occupation and residence in cities is a complex space and traffic problem, and needs a close fit between city development policies, land development policies and city space planning and city traffic planning.
In the related art, the population general survey, the economic statistics and other methods are generally adopted to obtain the number of the residential population and the number of the working population in a certain area, and when the number of the residential population and the number of the working population are relatively balanced, the area is determined to meet the job-live balance requirement. However, the current occupation balance acquisition scheme is often inaccurate enough when acquiring regional occupation balance, is difficult to adapt to actual requirements, and needs to be improved urgently.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present invention is to provide a method for acquiring regional position balance, which improves accuracy of acquiring regional position balance by performing quantitative analysis on regional position balance by using spatio-temporal data.
The second purpose of the invention is to provide a device for acquiring the regional position balance.
A third object of the invention is to propose a computer device.
A fourth object of the invention is to propose a non-transitory computer-readable storage medium.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a method for acquiring regional position balance, including:
acquiring the region type of a target region;
acquiring a target crowd of the target area according to the area type, and extracting the work average passing time and the work average passing distance of the target crowd;
calculating a separation index of the target area according to the working average passing time and the working average passing distance;
and comparing the separation index of the target area with a preset threshold, and if the separation index is smaller than the preset threshold, determining that the target area meets the work and live balance requirement.
According to the method for acquiring the regional work and live balance, the region type of the target region is acquired, the target crowd of the target region is further acquired according to the region type, and the work average passing time and the work average passing distance of the target crowd are extracted. And further calculating the separation index of the target area according to the work average passing time and the work average passing distance so as to determine whether the target area meets the work and live balance requirement or not according to the separation index. Therefore, the accuracy of acquiring the regional position balance is improved by quantitatively analyzing the regional position balance by using the spatiotemporal data.
In addition, the method for acquiring the regional occupation balance according to the above embodiment of the present invention may further have the following additional technical features:
optionally, after the comparing the separation index of the target region with a preset threshold, the method further includes:
if the separation index is larger than or equal to the preset threshold value, acquiring a plurality of flow direction areas from a residence place to a working place of the target crowd, and calculating the working average passing time and the working average passing distance corresponding to each flow direction area; .
Calculating the sub-separation index corresponding to each flow direction area in the target area according to the work average passing time and the work average passing distance corresponding to each flow direction area;
comparing the sub-separation index corresponding to each flow direction area with a preset threshold value to obtain a target flow direction area corresponding to the sub-separation index which is greater than or equal to the preset threshold value;
and according to the position and position balance requirement of the target flow direction area, enabling the target area to meet the position and position balance requirement.
Optionally, the obtaining the region type of the target region includes:
acquiring the geographic position and the building characteristics of the target area;
and determining the region type of the target region according to the geographic position and the building characteristics.
Optionally, the calculating the separation index of the target area according to the working average passing time and the working average passing distance includes:
acquiring a first weight corresponding to the work average passing time and a second weight corresponding to the work average passing distance;
and calculating the working average passing time, the first weight, the working average passing distance and the second weight according to a preset algorithm to obtain a separation index of the target area.
Optionally, the method further includes:
obtaining separation indexes of a plurality of target areas;
sorting and displaying the separation indexes of the target areas belonging to the same area type;
displaying a plurality of flow directions of the corresponding target population in each target area from the residence to the working place on the interface.
In order to achieve the above object, a second embodiment of the present invention provides an apparatus for acquiring regional position balance, including:
the acquisition module is used for acquiring the region type of the target region;
the extraction module is used for acquiring a target crowd of the target area according to the area type and extracting the work average passing time and the work average passing distance of the target crowd;
the first processing module is used for calculating the separation index of the target area according to the working average passing time and the working average passing distance;
and the determining module is used for comparing the separation index of the target area with a preset threshold value, and if the separation index is smaller than the preset threshold value, determining that the target area meets the work and live balance requirement.
According to the acquisition device for the area occupation balance, the area type of the target area is acquired, the target crowd of the target area is further acquired according to the area type, and the work average passing time and the work average passing distance of the target crowd are extracted. And further calculating the separation index of the target area according to the work average passing time and the work average passing distance so as to determine whether the target area meets the work and live balance requirement or not according to the separation index. Therefore, the accuracy of acquiring the regional position balance is improved by quantitatively analyzing the regional position balance by using the spatiotemporal data.
In addition, the device for acquiring the regional occupation balance according to the above embodiment of the present invention may further have the following additional technical features:
optionally, the apparatus further comprises: the second processing module is used for acquiring a plurality of flow direction areas of the target population from a residence to a working place if the separation index is larger than or equal to the preset threshold, and calculating the working average passing time and the working average passing distance corresponding to each flow direction area;
calculating the sub-separation index corresponding to each flow direction area in the target area according to the work average passing time and the work average passing distance corresponding to each flow direction area;
comparing the sub-separation index corresponding to each flow direction area with a preset threshold value to obtain a target flow direction area corresponding to the sub-separation index which is greater than or equal to the preset threshold value;
and according to the position and position balance requirement of the target flow direction area, enabling the target area to meet the position and position balance requirement.
Optionally, the obtaining module is specifically configured to: acquiring the geographic position and the building characteristics of the target area; and determining the region type of the target region according to the geographic position and the building characteristics.
Optionally, the first processing module is specifically configured to: acquiring a first weight corresponding to the work average passing time and a second weight corresponding to the work average passing distance; and calculating the working average passing time, the first weight, the working average passing distance and the second weight according to a preset algorithm to obtain the separation index of the target area.
Optionally, the apparatus further comprises: the display module is used for acquiring the separation indexes of a plurality of target areas;
sorting and displaying the separation indexes of the target areas belonging to the same area type;
displaying a plurality of flow directions of the corresponding target population in each target area from the residence to the working place on the interface.
To achieve the above object, a third embodiment of the present invention provides a computer device, including a processor and a memory; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the acquisition method of the area occupation balance according to the embodiment of the first aspect.
To achieve the above object, a fourth embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, wherein the computer program is configured to, when executed by a processor, implement the method for acquiring regional occupation balance according to the first embodiment.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of a method for acquiring regional occupation balance according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of another method for acquiring a balance of occupation of an area according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of another method for acquiring a balance of occupation of an area according to an embodiment of the present invention;
FIG. 4 is a schematic view of a data presentation interface for area-position equilibrium;
fig. 5 is a schematic structural diagram of an apparatus for acquiring regional occupation balance according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another device for acquiring the occupation balance of the area according to the embodiment of the present invention;
FIG. 7 illustrates a block diagram of an exemplary computer device suitable for use to implement embodiments of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The method, apparatus and device for acquiring regional occupation balance according to the embodiments of the present invention are described below with reference to the accompanying drawings.
The method for acquiring the regional occupation balance can be applied to computer equipment. The computer device includes, but is not limited to, a smart phone, a tablet computer, a personal digital assistant, a wearable device, a computer, and a device with a data processing function.
Fig. 1 is a schematic flow chart of a method for acquiring regional occupation balance according to an embodiment of the present invention, and as shown in fig. 1, the method for acquiring regional occupation balance includes:
step 101, obtaining the region type of the target region.
In the embodiment of the invention, when analyzing whether the target area is in balance, the area type of the target area needs to be acquired first. Among them, the zone type can be divided into a residential zone and a work zone.
The implementation manner of obtaining the region type of the target region may be various.
In an embodiment of the present invention, the urban area may be divided, and the area type of the target area is determined according to the division result. For example, a city may be divided into a plurality of regions, and then each region is subject to census and economic data statistics, and the region type of the target region is determined according to the statistical result.
In an embodiment of the invention, the geographic position and the building characteristics of the target area can be acquired through the electronic map, and the area type of the target area is determined according to the geographic position and the building characteristics.
For example, if the geographic location of the target area is located in a city center, a science and technology park, etc., the target area is determined to be a work area; if the geographical position of the target area is located in a residential district or the like, the target area is determined to be a residential district. For another example, if the building features of the target area are apartment, villa, etc., the target area is determined to be a residential area; and if the architectural features of the target area are a shopping mall, an office building and the like, judging that the target area is a working area.
It should be noted that, the implementation manner of the region type of the acquisition target region is merely exemplary, and the region type of the acquisition target region may be arbitrarily combined according to actual needs, and is not limited herein.
And 102, acquiring a target crowd in the target area according to the area type, and extracting the work average passing time and the work average passing distance of the target crowd.
As a possible implementation manner, the target population in the target area may be determined through a population survey or the like, and then the dynamics of the target population is collected through a big data technology, for example, the time and distance required by the target population from a residence to a working place may be obtained by combining data such as internet video, audio, image, positioning, bus swiping card, mobile phone signaling, and the like, and then the work average passing time and the work average passing distance of the target population may be obtained through a correlation algorithm.
The working average passing time can be the average value of the time required by the target population from the residence to the working place, and the working average passing distance can be the average value of the distance from the residence to the working place.
As an example, when the target area is a living area, people living in the area are acquired as target people. And further, acquiring the time and the distance required by each person in the target group from the residence to the work place of the person, and acquiring the work average passing time and the work average passing distance of the target group through a related algorithm.
As another example, when the target area is a work area, a group of people who work in the area is acquired as a target group of people. And further, acquiring the time and the distance required by each person in the target group from the residence to the working place, and acquiring the working average passing time and the working average passing distance of the target group through a related algorithm.
And 103, calculating the separation index of the target area according to the work average passing time and the work average passing distance.
In one embodiment of the invention, a first weight corresponding to the work average transit time and a second weight corresponding to the work average transit distance may be obtained. And further, calculating the work average passing time and the first weight, the work average passing distance and the second weight according to a preset algorithm to obtain the separation index of the target area.
The preset algorithm includes, but is not limited to, logistic regression, clustering, machine learning, and other related algorithms. The first weight and the second weight may be equal or unequal, and are specifically set according to actual situations. For example, the target population may have a greater distance to go to and from work due to a larger metropolitan area, and thus the second weight may be greater than the first weight. For another example, in a small or medium-sized city, the first weight may be greater than the second weight because the difference between the working traffic distances is small.
It should be noted that, the implementation manner of calculating the target area separation index is merely exemplary, and the calculation may be performed in combination with corresponding weights, or the calculation may be directly performed on the work average passing time and the work average passing distance according to actual needs, so as to obtain the separation index of the target area. The preset algorithm can be set by a person skilled in the art, and is not limited herein.
And 104, comparing the separation index of the target area with a preset threshold, and determining that the target area meets the work and live balance requirement if the separation index is smaller than the preset threshold.
In the embodiment of the invention, the higher the separation index is, the more difficult the target population in the target area is to get on and off duty, and the more unbalanced the job and live demands are. Therefore, the separation index of the target area can be compared with a preset threshold, and if the separation index is smaller than the preset threshold, the target area is determined to meet the work and live balance requirement.
The preset threshold may be obtained according to a large amount of experimental data, or may be set by a person skilled in the art according to actual needs, which is not limited herein.
It is understood that, in the related art, the number of the residential population and the working population in a certain area is obtained, and when the number of the residential population and the number of the working population are relatively balanced, the area is determined to meet the position and live balance requirement. However, the selection range of the area is difficult to define, for example, people living in the area may work in a certain adjacent area. Moreover, because the urban spatial structure has obvious unbalanced characteristics, and the scales and structures of population and industry have different distribution forms in space, the occupation balance is inevitably different among different regions, the current occupation balance acquisition scheme is often inaccurate when the occupation balance analysis is carried out, and needs to be improved urgently.
In the embodiment, the separation index is obtained according to the work average passing time and the work average passing distance of the target population, the work and live balance requirement of the target area is further determined according to the separation index, and the area work and live balance is quantitatively analyzed by applying the space-time data, so that the accuracy of obtaining the area work and live balance is improved. Compared with the limitation of the traditional method on the number of static and samples, the big data provides multiple possibilities for job and live balance analysis by virtue of the characteristics of richness, diversity, accuracy, dynamics, instantaneity and the like.
According to the method for acquiring the regional work and live balance, the region type of the target region is acquired, the target crowd of the target region is further acquired according to the region type, and the work average passing time and the work average passing distance of the target crowd are extracted. And further calculating the separation index of the target area according to the work average passing time and the work average passing distance so as to determine whether the target area meets the work and live balance requirement or not according to the separation index. Therefore, the accuracy of acquiring the regional position balance is improved by quantitatively analyzing the regional position balance by using the spatiotemporal data.
Based on the above embodiment, further, when the target area does not meet the job and live balance requirement, the target area can be regulated and controlled, so that the target area meets the job and live balance requirement.
Fig. 2 is a flowchart of another method for acquiring regional occupation balance according to an embodiment of the present invention, as shown in fig. 2, after step 103, the method further includes:
step 201, if it is known that the separation index is greater than or equal to the preset threshold, acquiring a plurality of flow direction areas from the residence to the working place of the target population, and calculating the working average passing time and the working average passing distance corresponding to each flow direction area.
In this embodiment, if it is known that the separation index of the target area is greater than or equal to the preset threshold, it is determined that the target area does not meet the working and living balance requirement, and the target area needs to be regulated.
As an example, regions in four directions of east, west, south and north of a target region may be divided into four flow direction regions, statistical analysis is performed on target population related data, the target population is respectively allocated to the four flow direction regions, and then work average passing time and work average passing distance corresponding to each flow direction region are respectively calculated. For example, when the target area is a residential area, a crowd a working in the north flow direction area among the target crowd is acquired, and further the working average transit time and the working average transit distance of the crowd a are calculated as data corresponding to the north flow direction area.
It should be noted that the flow direction area may be divided according to the direction, or may be selected according to actual needs, and is not limited specifically here. When the target area is a residential area, the flow direction area represents the working place of the target crowd; when the target area is a workspace, the flow-to area represents the residence of the target population.
The implementation manner of calculating the work average passing time and the work average passing distance corresponding to each flow direction area is similar to that in the foregoing embodiment, and details are not repeated here.
Step 202, calculating the sub-separation index corresponding to each flow direction area in the target area according to the work average passing time and the work average passing distance corresponding to each flow direction area.
It can be understood that when the target area does not satisfy the demand for the balance of employment and living, there may be a case that some of the target people do not satisfy the balance of employment and living, for example, when the target area is a work area, people living in the north flow direction area may satisfy the balance of employment and living, and people living in the south flow direction area may not satisfy the balance of employment and living, and at this time, only the south flow direction area needs to be regulated. Therefore, the sub-separation index corresponding to each flow direction area in the target area can be calculated according to the work average passing time and the work average passing distance corresponding to each flow direction area, and whether the flow direction area meets the work and live balance requirement or not can be judged according to the sub-separation index.
It should be noted that, the explanation of the foregoing embodiment for obtaining the separation index of the target region is also applicable to obtaining the sub-separation index corresponding to each flow direction region in this step, and details are not repeated here.
Step 203, comparing the sub-separation index corresponding to each flow direction area with a preset threshold value, and acquiring a target flow direction area corresponding to the sub-separation index greater than or equal to the preset threshold value.
In this example, a higher sub-separation index indicates that the flow area population is more difficult to get on and off duty and the job demand is more unbalanced. Therefore, the sub-separation index can be compared with a preset threshold, and if the sub-separation index is smaller than the preset threshold, the flow direction area is determined to meet the work and live balance requirement without regulation. And if the sub-separation index is larger than or equal to the preset threshold value, determining that the target flow direction area does not meet the work and live balance requirement and needing to be regulated and controlled.
The preset threshold may be obtained according to a large amount of experimental data, or may be set by a person skilled in the art according to actual needs, which is not limited herein.
And step 204, according to the position and position balance requirement of the target flow direction area, enabling the target area to meet the position and position balance requirement.
In an embodiment of the present invention, the target flow direction area may be regulated according to the job and live balance requirement of the target flow direction area, for example, the target flow direction area may be classified according to a specific numerical value of the sub-separation index, and a corresponding regulation and control manner may be selected according to different grades, so that the target flow direction area satisfies the job and live balance requirement. Further, when all target flow directions meet the job and live balance requirement, the target area can be considered to meet the job and live balance requirement.
According to the method for acquiring the regional work and live balance, the multiple flow-direction regions of the target population from the residence to the working place are acquired, whether each flow-direction region meets the work and live balance requirement or not is judged, and the work and live balance requirement of the target flow-direction region is further regulated and controlled, so that the target region meets the work and live balance requirement. Therefore, through the insight of the relationship and the structure of the jobs and the dwellings, separate areas and crowds of the jobs and the dwellings are found in a data-driven mode, and reasonable distribution of employment post layout and resident population layout is guided, so that urban job and dwelling balance and city delivery fusion are achieved.
Based on the above embodiment, further, the relevant data of job and live balance can be displayed in an easy-to-read, dynamic and quantitative manner through a front-end visualization technology.
Fig. 3 is a schematic flow chart of another method for acquiring a balance of occupation of an area according to an embodiment of the present invention, as shown in fig. 3, the method includes:
step 301, obtaining separation indexes of a plurality of target areas.
Wherein the plurality of target areas includes a work area and a residential area.
And step 302, sorting and displaying the separation indexes of the target areas belonging to the same area type.
In this embodiment, in order to more intuitively display the job and live balance result, the separation indexes belonging to the target areas of the same area type may be sorted and displayed by a front-end visualization technique. For example, when the target area type is selected as the work area, the separation indexes of all the work areas can be displayed in an order from high to low.
The front-end visualization technology may be GIS (Geographic Information System) visualization, D3(Data-Driven Documents), and the like.
And step 303, displaying a plurality of flow directions of the corresponding target population from the residence to the working place in each target area on the interface.
As an example, multiple flow directions of the corresponding target population in each target area from the residential site to the work site may be displayed on the interface in the form of directed line segments. According to the flow direction displayed on the interface, the flow direction area can be more conveniently acquired.
As shown in fig. 4, after the user selects an area, the interface displays the living situation of the area, and the flow and direction of the population can be represented by the line with an arrow. The table column may show the region information, including employment/permanent population, separation index, etc. Wherein, the separation index can be defined as three grades of high, medium and low, and is marked. The form column may also show the residential relationship of the area, including the corresponding residential area/workplace, population ratio, average transit distance, parallel transit time. For the selected target area, the ranking can be displayed according to the population proportion, for example, in the employment area CBD, 5% of target people who work in the area live in the streets outside the buildings, 5% live in the area of south aster, 4% live in the streets of double wells, and the population proportion is listed in the top three.
According to the method for acquiring the regional position balance, the relevant data of the position balance can be displayed in an easy-to-read, dynamic and quantitative mode to assist the urban position balance and the delivery city fusion decision, so that the display result is more visual, the analysis of the regional position balance is more convenient and efficient, and the user experience is improved.
In order to implement the above embodiment, the invention further provides an acquisition device for the regional occupation balance. Fig. 5 is a schematic structural diagram of an apparatus for acquiring regional occupation balance according to an embodiment of the present invention, and as shown in fig. 5, the apparatus for acquiring regional occupation balance includes: the system comprises an acquisition module 100, an extraction module 200, a first processing module 300 and a determination module 400.
The obtaining module 100 is configured to obtain a region type of the target region.
The extracting module 200 is configured to obtain a target crowd in a target area according to an area type, and extract a work average passing time and a work average passing distance of the target crowd.
The first processing module 300 is configured to calculate a separation index of the target area according to the work average transit time and the work average transit distance.
The determining module 400 is configured to compare the separation index of the target area with a preset threshold, and if it is known that the separation index is smaller than the preset threshold, determine that the target area meets the work and live balance requirement.
On the basis of fig. 5, the acquisition device for the area occupation balance shown in fig. 6 further includes: a second processing module 500 and a display module 600.
The second processing module 500 is configured to, if it is known that the separation index is greater than or equal to the preset threshold, obtain a plurality of flow direction areas from the residence to the working place of the target group, and calculate a working average passing time and a working average passing distance corresponding to each flow direction area;
calculating a sub-separation index corresponding to each flow direction area in the target area according to the work average passing time and the work average passing distance corresponding to each flow direction area;
comparing the sub-separation index corresponding to each flow direction area with a preset threshold value to obtain a target flow direction area corresponding to the sub-separation index which is greater than or equal to the preset threshold value;
and according to the job and live balance requirement of the target flow direction area, enabling the target area to meet the job and live balance requirement.
Further, the obtaining module 100 is specifically configured to: acquiring the geographic position and the building characteristics of a target area; and determining the region type of the target region according to the geographic position and the building characteristics.
Further, the first processing module 300 is specifically configured to:
acquiring a first weight corresponding to the work average passing time and a second weight corresponding to the work average passing distance;
and calculating the working average passing time and the first weight, the working average passing distance and the second weight according to a preset algorithm to obtain the separation index of the target area.
Further, the display module 600 is configured to obtain separation indexes of a plurality of target areas;
sorting and displaying the separation indexes of the target areas belonging to the same area type;
displaying a plurality of flow directions of the corresponding target population in each target area from the residence to the working place on the interface.
It should be noted that, the explanation of the method for acquiring the balance of occupation of area in the foregoing embodiment is also applicable to the apparatus for acquiring the balance of occupation of area in this embodiment, and details are not repeated here.
According to the acquisition device for the area occupation balance, the area type of the target area is acquired, the target crowd of the target area is further acquired according to the area type, and the work average passing time and the work average passing distance of the target crowd are extracted. And further calculating the separation index of the target area according to the work average passing time and the work average passing distance so as to determine whether the target area meets the work and live balance requirement or not according to the separation index. Therefore, the accuracy of acquiring the regional position balance is improved by quantitatively analyzing the regional position balance by using the spatiotemporal data.
In order to implement the above embodiments, the present invention further provides a computer device, including a processor and a memory; wherein, the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the acquisition method of the regional occupation balance according to any of the foregoing embodiments.
In order to implement the foregoing embodiments, the present invention further provides a computer program product, wherein when the instructions in the computer program product are executed by a processor, the method for acquiring the regional position balance according to any of the foregoing embodiments is implemented.
In order to achieve the above embodiments, the present invention further proposes a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the acquisition method of regional occupation balance according to any of the foregoing embodiments.
FIG. 7 illustrates a block diagram of an exemplary computer device suitable for use to implement embodiments of the present invention. The computer device 12 shown in fig. 7 is only an example and should not bring any limitations to the functionality or scope of use of the embodiments of the present invention.
As shown in FIG. 7, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. These architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, to name a few.
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 30 and/or cache Memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 7, and commonly referred to as a "hard drive"). Although not shown in FIG. 7, a disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read Only Memory (CD-ROM), a Digital versatile disk Read Only Memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination of which may comprise an implementation of a network environment. Program modules 42 generally perform the functions and/or methodologies of the embodiments described herein.
The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with the computer system/server 12, and/or with any devices (e.g., network card, modem, etc.) that enable the computer system/server 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Moreover, computer device 12 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via Network adapter 20. As shown, network adapter 20 communicates with the other modules of computer device 12 via bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing, for example, implementing the methods mentioned in the foregoing embodiments, by executing programs stored in the system memory 28.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
Although embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that changes, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (10)

1. A method for acquiring regional position balance is characterized by comprising the following steps:
acquiring the region type of a target region;
acquiring a target crowd of the target area according to the area type, and extracting the work average passing time and the work average passing distance of the target crowd;
calculating a separation index of the target area according to the working average passing time and the working average passing distance;
comparing the separation index of the target area with a preset threshold, and if the separation index is smaller than the preset threshold, determining that the target area meets the work and live balance requirement;
after the comparing the separation index of the target region with a preset threshold, further comprising:
if the separation index is larger than or equal to the preset threshold value, acquiring a plurality of flow direction areas from a residence place to a working place of the target crowd, and calculating the working average passing time and the working average passing distance corresponding to each flow direction area;
calculating the sub-separation index corresponding to each flow direction area in the target area according to the work average passing time and the work average passing distance corresponding to each flow direction area;
comparing the sub-separation index corresponding to each flow direction area with a preset threshold value to obtain a target flow direction area corresponding to the sub-separation index which is greater than or equal to the preset threshold value;
and according to the position and position balance requirement of the target flow direction area, enabling the target area to meet the position and position balance requirement.
2. The method of claim 1, wherein the obtaining the region type of the target region comprises:
acquiring the geographic position and the building characteristics of the target area;
and determining the region type of the target region according to the geographic position and the building characteristics.
3. The method of claim 1, wherein said calculating a separation index for the target area based on the work average transit time and the work average transit distance comprises:
acquiring a first weight corresponding to the work average passing time and a second weight corresponding to the work average passing distance;
and calculating the working average passing time, the first weight, the working average passing distance and the second weight according to a preset algorithm to obtain the separation index of the target area.
4. The method of any of claims 1-3, further comprising:
obtaining separation indexes of a plurality of target areas;
sorting and displaying the separation indexes of the target areas belonging to the same area type;
displaying a plurality of flow directions of the corresponding target population in each target area from the residence to the working place on the interface.
5. An apparatus for acquiring regional occupation balance, comprising:
the acquisition module is used for acquiring the region type of the target region;
the extraction module is used for acquiring a target crowd of the target area according to the area type and extracting the work average passing time and the work average passing distance of the target crowd;
the first processing module is used for calculating the separation index of the target area according to the working average passing time and the working average passing distance;
the determining module is used for comparing the separation index of the target area with a preset threshold value, and if the separation index is smaller than the preset threshold value, determining that the target area meets the work and live balance requirement;
further comprising:
the second processing module is used for acquiring a plurality of flow direction areas of the target population from a residence to a working place if the separation index is larger than or equal to the preset threshold, and calculating the working average passing time and the working average passing distance corresponding to each flow direction area;
calculating the sub-separation index corresponding to each flow direction area in the target area according to the work average passing time and the work average passing distance corresponding to each flow direction area;
comparing the sub-separation index corresponding to each flow direction area with a preset threshold value to obtain a target flow direction area corresponding to the sub-separation index which is greater than or equal to the preset threshold value;
and according to the position and position balance requirement of the target flow direction area, enabling the target area to meet the position and position balance requirement.
6. The apparatus of claim 5, wherein the acquisition module is specifically configured to:
acquiring the geographic position and the building characteristics of the target area;
and determining the region type of the target region according to the geographic position and the building characteristics.
7. The apparatus of claim 5, wherein the first processing module is specifically configured to:
acquiring a first weight corresponding to the work average passing time and a second weight corresponding to the work average passing distance;
and calculating the working average passing time, the first weight, the working average passing distance and the second weight according to a preset algorithm to obtain the separation index of the target area.
8. The apparatus of any of claims 5-7, further comprising:
the display module is used for acquiring the separation indexes of a plurality of target areas;
sorting and displaying the separation indexes of the target areas belonging to the same area type;
displaying a plurality of flow directions of the corresponding target population in each target area from the residence to the workplace on the interface.
9. A computer device comprising a processor and a memory;
wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the acquisition method of the regional position balance according to any one of claims 1 to 4.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of acquiring regional occupancy balance as claimed in any one of claims 1 to 4.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102061648A (en) * 2010-12-13 2011-05-18 田耕 Elevated passenger railway with parallel elevated road upper and lower lanes respectively arranged at both sides of line
CN107305590A (en) * 2017-06-14 2017-10-31 北京市交通信息中心 A kind of urban transportation trip characteristicses based on mobile phone signaling data determine method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2818117A1 (en) * 2013-06-07 2014-12-07 Sigma-Rh Solutions Inc. Analysis system and process for decision-making of the geolocalisation data of a home (current or future), of a wage-earner, a candidate and of a workplace (current or future)

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102061648A (en) * 2010-12-13 2011-05-18 田耕 Elevated passenger railway with parallel elevated road upper and lower lanes respectively arranged at both sides of line
CN107305590A (en) * 2017-06-14 2017-10-31 北京市交通信息中心 A kind of urban transportation trip characteristicses based on mobile phone signaling data determine method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于大数据的宁波市居民职住通勤时空分析;孙琪;《中国优秀硕士学位论文全文数据库 社会科学Ⅱ辑》;20180228(第2期);第16-23、54-68页 *
职住分离的度量方法与空间组织特征—以北京市轨道交通对职住分离的影响为例;赵晖 等;《地理科学进展》;20110228;第30卷(第2期);第198-204页 *

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