Resource niche pricing method and device

Abstract

The invention provides a resource niche pricing method and device. The method comprises the following steps: acquiring passenger flow distribution data and sales data of a target building; calculating a floor thermal coefficient of each floor in the target building and a regional thermal coefficient of each resource niche in each floor based on the passenger flow volume distribution data; determining an income reference value of the target building according to the sales data; calculating the regional budget income of each resource niche based on the income reference value, the floor thermal coefficient of the floor to which each resource niche belongs and the regional thermal coefficient of each resource niche; and determining the lease unit price of each resource niche in different lease forms according to the regional budget income of each resource niche. By means of the technical means, the problems that in the prior art, resource niche pricing depends on artificial experience, and unified pricing logic support is lacked are solved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a resource bit pricing method and device. Background Art

[0002] At present, the rental price of resource positions depends on manual experience input, such as reference to past rental prices, competitor prices, or market prices. In fact, the passenger flow of different floors in a building will be different, and the passenger flow of different resource positions on the same floor will also be different. Different users have different rental purposes and other factors should affect the pricing of resource positions. The existing method of determining rental prices still lacks a unified pricing logic support. As business development has higher requirements for resource position pricing, the existing method can no longer reasonably and uniformly guide resource position pricing. Summary of the invention

[0003] In view of this, the embodiments of the present application provide a resource bit pricing method, device, electronic device and computer-readable storage medium to solve the problem in the prior art that resource bit pricing relies on manual experience and lacks unified pricing logic support.

[0004] A first aspect of an embodiment of the present application provides a resource position pricing method, including: obtaining passenger flow distribution data and sales data of a target building; calculating the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position on each floor based on the passenger flow distribution data; determining an income benchmark value of the target building according to the sales data; calculating the regional budget income of each resource position based on the income benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position; and determining the rental unit price of each resource position under different rental forms according to the regional budget income of each resource position.

[0005] According to a second aspect of an embodiment of the present application, a resource position pricing device is provided, including: an acquisition module configured to acquire passenger flow distribution data and sales data of a target building; a first calculation module configured to calculate the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor based on the passenger flow distribution data; a first determination module configured to determine the revenue benchmark value of the target building according to the sales data; a second calculation module configured to calculate the regional budget revenue of each resource position based on the revenue benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position; and a second determination module configured to determine the rental unit price of each resource position under different rental forms according to the regional budget revenue of each resource position.

[0006] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0007] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0008] Compared with the prior art, the embodiments of the present application have the following beneficial effects: obtaining passenger flow distribution data and sales data of the target building; calculating the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor based on the passenger flow distribution data; determining the target building's revenue benchmark value based on the sales data; calculating the regional budget revenue of each resource position based on the revenue benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position; determining the rental unit price of each resource position under different rental forms according to the regional budget revenue of each resource position. The above technical means can be used to solve the problem that resource position pricing in the prior art relies on manual experience and lacks unified pricing logic support, thereby achieving more refined and reasonable resource position pricing. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0010] Figure 1 It is a flowchart of a resource bit pricing method provided in an embodiment of the present application;

[0011] Figure 2 It is a flowchart of another resource bit pricing method provided in an embodiment of the present application;

[0012] Figure 3 It is a structural diagram of a resource position pricing device provided in an embodiment of the present application;

[0013] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0014] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0015] A resource bit pricing method and device according to an embodiment of the present application will be described in detail below with reference to the accompanying drawings.

[0016] Figure 1 It is a flowchart of a resource bit pricing method provided in an embodiment of the present application. Figure 1 The resource bit pricing method can be executed by a computer or a server, or by software on the computer or the server. Figure 1 As shown, the resource bit pricing method includes:

[0017] S101, obtaining passenger flow distribution data and sales data of a target building;

[0018] S102, calculating the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor based on the passenger flow distribution data;

[0019] S103, determining the income benchmark value of the target building according to the sales data;

[0020] S104, calculating the regional budget income of each resource position based on the income benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position;

[0021] S105, determining the rental unit price of each resource location under different rental forms according to the regional budget income of each resource location.

[0022] Obtain the passenger flow distribution data and sales data of the target building in the preset time period. The passenger flow distribution data is the distribution of passenger flow at different locations of the target building, and the sales data is the overall sales of all merchants in the target building. Based on the passenger flow distribution data, calculate the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor. The product of the income benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position is used as the regional budget income of each resource position. The leasing form can be regarded as the leasing purpose, and the leasing forms include retail, exhibition and sale (such as auto show and housing exhibition, etc.), theme park, market, etc. Different leasing forms will lead to different sales data of resource positions. Some leasing forms have low sales data, but will bring a large passenger flow to the target building, so the leasing form should also affect the leasing unit price of the resource position. Determine the leasing unit price of each resource position under various leasing forms according to the regional budget income of each resource position and various leasing forms.

[0023] According to the technical solution provided in the embodiment of the present application, the passenger flow distribution data and sales data of the target building are obtained; the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor are calculated based on the passenger flow distribution data; the income benchmark value of the target building is determined based on the sales data; the regional budget income of each resource position is calculated based on the income benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position; the rental unit price of each resource position under different rental forms is determined according to the regional budget income of each resource position. The above technical means can be used to solve the problem that resource position pricing in the prior art relies on manual experience and lacks unified pricing logic support, thereby achieving more refined and reasonable resource position pricing.

[0024] Furthermore, the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor are calculated based on the passenger flow distribution data, including: counting the passenger flow distribution data to obtain the building passenger flow of the target building, the floor passenger flow of each floor and the regional passenger flow of each resource position; calculating the floor thermal coefficient of the floor based on the building passenger flow and the floor passenger flow of each floor; calculating the regional thermal coefficient of each resource position based on the floor passenger flow of the floor to which each resource position belongs and the regional passenger flow of the resource position.

[0025] Based on the passenger flow distribution data, the total passenger flow in the target building is counted as the building passenger flow; the passenger flow in each floor is counted as the floor passenger flow; the passenger flow at each resource position is counted as the regional passenger flow. The ratio of the building passenger flow and the floor passenger flow of each floor is taken as the floor thermal coefficient of the floor. The ratio of the floor passenger flow of the floor to which each resource position belongs and the regional passenger flow of the resource position is taken as the regional thermal coefficient of the resource position.

[0026] Furthermore, the rental unit price of each resource location under different leasing forms is determined according to the regional budget revenue of each resource location, including: determining the business format premium / discount coefficients of various leasing forms; and calculating the rental unit price of the resource location under various leasing forms based on the business format premium / discount coefficients of various leasing forms and the regional budget revenue of each resource location.

[0027] Different business premium coefficients are corresponding to leasing forms such as retail, exhibition, theme park and market. The business premium coefficients of various leasing forms can be obtained by statistically analyzing the historical sales data of various leasing forms. For example, the business premium coefficients corresponding to retail, exhibition, theme park and market are 1, 2, 0.5 and 0.5 respectively. The product of the business premium coefficient of a leasing form and the regional budget income of a resource location is taken as the unit rental price of the resource location under this leasing form. The unit rental price refers to the rental price per square meter.

[0028] Furthermore, after calculating the regional budget income of each resource location based on the income benchmark value, the floor thermal coefficient of the floor to which each resource location belongs, and the regional thermal coefficient of each resource location, the method also includes: determining the rental unit price of each resource location under different rental forms and different rental days according to the regional budget income of each resource location.

[0029] The passenger flow on different rental days is different, so the rental day should also be taken into account in the pricing of the rental unit price.

[0030] Furthermore, the rental unit price of each resource location under different leasing forms and on different leasing days is determined according to the regional budget revenue of each resource location, including: determining the business format premium / discount coefficient of various leasing forms and the daily premium / discount coefficient of each leasing day; calculating the rental unit price of the resource location under various leasing forms and on each leasing day based on the business format premium / discount coefficient of various leasing forms, the daily premium / discount coefficient of each leasing day and the regional budget revenue of each resource location.

[0031] The daily discount / surplus coefficient of each lease day can be obtained by statistically analyzing the historical sales data of each lease day within a preset time period, or can be allocated according to working days, rest days, and holidays. For example, the daily discount / surplus coefficients of working days, rest days, and holidays are 1, 1.5, and 2 respectively. The product of the business discount / surplus coefficient of a lease form, the daily discount / surplus coefficient of a lease day, and the regional budget income of a resource location is used as the rental unit price of the resource location under the lease form and the lease day.

[0032] Furthermore, the rental unit price of the resource location under various rental forms and on each rental day is calculated based on the business type premium / discount coefficients of various rental forms, the rental day premium / discount coefficients of each rental day and the regional budget income of each resource location, including: obtaining the rental information of the target tenant, wherein the rental information includes: the identification number of the target resource location to be leased, the target rental form and the rental period; calculating the average rental day premium / discount coefficient based on the rental day premium / discount coefficients of each rental day within the rental period; calculating the rental unit price of the target resource location based on the business type premium / discount coefficient of the target rental form, the average rental day premium / discount coefficient and the regional budget income of the target resource location.

[0033] The average of the daily discount / surplus coefficients of each lease day during the lease period is taken as the average daily discount / surplus coefficient. The product of the target lease format’s business format discount / surplus coefficient, the daily average discount / surplus coefficient, and the regional budget income of the target resource location is taken as the rental unit price of the target resource location.

[0034] After calculating the regional budget income of each resource location based on the income benchmark value, the floor thermal coefficient of the floor to which each resource location belongs, and the regional thermal coefficient of each resource location, the method also includes: obtaining the historical average rental unit price of the target building; determining the rental benchmark value of the target building based on the historical average rental unit price; and determining the rental unit price of each resource location under different rental forms according to the regional budget income and the rental benchmark value of each resource location.

[0035] The historical average rental unit price is multiplied by the preset coefficient as the rental benchmark value of the target building. The rental unit price of each resource location under different rental forms is determined according to the smaller or larger value of the regional budget income and the rental benchmark value of each resource location. For example, the rental unit price of a resource location under different rental forms is determined by the smaller value. If the regional budget income of a resource location is greater than the rental benchmark value, then the rental benchmark value is multiplied by the business premium coefficient of a rental form to obtain the rental unit price of the resource location under the rental form.

[0036] Figure 2 FIG. 1 is a flow chart of another resource bit pricing method provided in an embodiment of the present application. Figure 2 As shown, the method includes:

[0037] S201, obtaining the leasing information of the target tenant, wherein the leasing information includes: the identification number of the target resource location to be leased, the target leasing form and the leasing period, and obtaining the passenger flow distribution data and sales data of the target building;

[0038] S202, calculating the floor thermal coefficient of the floor to which the target resource location belongs and the regional thermal coefficient of the target resource location based on the passenger flow distribution data;

[0039] S203, determining the income benchmark value of the target building according to the sales data;

[0040] S204, calculating the regional budget income of the target resource location based on the income benchmark value, the floor thermal coefficient of the floor to which the target resource location belongs, and the regional thermal coefficient of the target resource location;

[0041] S205, determining the income benchmark value of the target building according to the sales data;

[0042] S206, calculating the average rental day premium / discount coefficient based on the rental day premium / discount coefficients of each rental day within the rental period;

[0043] S207, calculating the rental unit price of the target resource location based on the business type premium / discount coefficient of the target leasing type, the average premium / discount coefficient of the lease day, and the regional budget income of the target resource location.

[0044] The product of the income benchmark value, the floor thermal coefficient of the floor to which the target resource location belongs, and the regional thermal coefficient of the target resource location is used as the regional budget income of the target resource location. The average of the daily discount and premium coefficients of each rental day during the rental period is used as the average daily discount and premium coefficient. The product of the business discount and premium coefficient of the target rental form, the average daily discount and premium coefficient, and the regional budget income of the target resource location is used as the rental unit price of the target resource location.

[0045] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present application, which will not be described one by one here.

[0046] The following are device embodiments of the present application, which can be used to execute the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

[0047] Figure 3 Schematic diagram of a resource bit pricing device provided in an embodiment of the present application. Figure 3 As shown, the resource position pricing device includes:

[0048] An acquisition module 301 is configured to acquire passenger flow distribution data and sales data of a target building;

[0049] A first calculation module 302 is configured to calculate the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor based on the passenger flow distribution data;

[0050] A first determination module 303 is configured to determine an income benchmark value of a target building according to the sales data;

[0051] The second calculation module 304 is configured to calculate the regional budget income of each resource position based on the income benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position;

[0052] The second determination module 305 is configured to determine the rental unit price of each resource location under different rental forms according to the regional budget income of each resource location.

[0053] Obtain the passenger flow distribution data and sales data of the target building in the preset time period. The passenger flow distribution data is the distribution of passenger flow at different locations of the target building, and the sales data is the overall sales of all merchants in the target building. Based on the passenger flow distribution data, calculate the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor. The product of the income benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position is used as the regional budget income of each resource position. The leasing form can be regarded as the leasing purpose, and the leasing forms include retail, exhibition and sale (such as auto show and housing exhibition, etc.), theme park, market, etc. Different leasing forms will lead to different sales data of resource positions. Some leasing forms have low sales data, but will bring a large passenger flow to the target building, so the leasing form should also affect the leasing unit price of the resource position. Determine the leasing unit price of each resource position under various leasing forms according to the regional budget income of each resource position and various leasing forms.

[0054] According to the technical solution provided in the embodiment of the present application, the passenger flow distribution data and sales data of the target building are obtained; the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor are calculated based on the passenger flow distribution data; the income benchmark value of the target building is determined based on the sales data; the regional budget income of each resource position is calculated based on the income benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position; the rental unit price of each resource position under different rental forms is determined according to the regional budget income of each resource position. The above technical means can be used to solve the problem that resource position pricing in the prior art relies on manual experience and lacks unified pricing logic support, thereby achieving more refined and reasonable resource position pricing.

[0055] In some embodiments, the first calculation module 302 is also configured to count passenger flow distribution data to obtain the building passenger flow of the target building, the floor passenger flow of each floor, and the regional passenger flow of each resource location; calculate the floor thermal coefficient of the floor based on the building passenger flow and the floor passenger flow of each floor; calculate the regional thermal coefficient of the resource location based on the floor passenger flow of the floor to which each resource location belongs and the regional passenger flow of the resource location.

[0056] Based on the passenger flow distribution data, the total passenger flow in the target building is counted as the building passenger flow; the passenger flow in each floor is counted as the floor passenger flow; the passenger flow at each resource position is counted as the regional passenger flow. The ratio of the building passenger flow and the floor passenger flow of each floor is taken as the floor thermal coefficient of the floor. The ratio of the floor passenger flow of the floor to which each resource position belongs and the regional passenger flow of the resource position is taken as the regional thermal coefficient of the resource position.

[0057] In some embodiments, the second determination module 302 is further configured to determine the business premium / discount coefficients of various leasing forms; and calculate the rental unit price of the resource location under various leasing forms based on the business premium / discount coefficients of various leasing forms and the regional budget income of each resource location.

[0058] Different business premium coefficients are corresponding to leasing forms such as retail, exhibition, theme park and market. The business premium coefficients of various leasing forms can be obtained by statistically analyzing the historical sales data of various leasing forms. For example, the business premium coefficients corresponding to retail, exhibition, theme park and market are 1, 2, 0.5 and 0.5 respectively. The product of the business premium coefficient of a leasing form and the regional budget income of a resource location is taken as the unit rental price of the resource location under this leasing form. The unit rental price refers to the rental price per square meter.

[0059] In some embodiments, the second determination module 302 is further configured to determine the rental unit price of each resource bit under different rental forms and different rental days according to the regional budget income of each resource bit.

[0060] The passenger flow on different rental days is different, so the rental day should also be taken into account in the pricing of the rental unit price.

[0061] In some embodiments, the second determination module 302 is further configured to determine the business type premium / discount coefficients of various lease forms and the daily premium / discount coefficients of each lease day; and calculate the rental unit price of the resource location under various lease forms and on each lease day based on the business type premium / discount coefficients of various lease forms, the daily premium / discount coefficients of each lease day and the regional budget income of each resource location.

[0062] The daily discount / surplus coefficient of each lease day can be obtained by statistically analyzing the historical sales data of each lease day within a preset time period, or can be allocated according to working days, rest days, and holidays. For example, the daily discount / surplus coefficients of working days, rest days, and holidays are 1, 1.5, and 2 respectively. The product of the business discount / surplus coefficient of a lease form, the daily discount / surplus coefficient of a lease day, and the regional budget income of a resource location is used as the rental unit price of the resource location under the lease form and the lease day.

[0063] In some embodiments, the second determination module 302 is further configured to obtain the leasing information of the target tenant, wherein the leasing information includes: the identification number of the target resource location to be leased, the target leasing form and the leasing period; calculating the average daily premium / discount coefficient based on the daily premium / discount coefficients of each leasing day within the leasing period; calculating the unit rental price of the target resource location based on the business format premium / discount coefficient of the target leasing form, the average daily premium / discount coefficient and the regional budget income of the target resource location.

[0064] The average of the daily discount and surplus coefficients of each lease day during the lease period is taken as the average daily discount and surplus coefficient. The product of the business discount and surplus coefficient of the target lease form, the average daily discount and surplus coefficient of the lease and the regional budget income of the target resource location is taken as the rental unit price of the target resource location.

[0065] In some embodiments, the second determination module 302 is further configured to obtain the historical average rental unit price of the target building; determine the rental base value of the target building based on the historical average rental unit price; and determine the rental unit price of each resource location under different rental forms according to the regional budget income and rental base value of each resource location.

[0066] The historical average rental unit price is multiplied by the preset coefficient as the rental benchmark value of the target building. The rental unit price of each resource location under different rental forms is determined according to the smaller or larger value of the regional budget income and the rental benchmark value of each resource location. For example, the rental unit price of a resource location under different rental forms is determined by the smaller value. If the regional budget income of a resource location is greater than the rental benchmark value, then the rental benchmark value is multiplied by the business premium coefficient of a rental form to obtain the rental unit price of the resource location under the rental form.

[0067] In some embodiments, the second determination module 302 is further configured to obtain the leasing information of the target tenant, wherein the leasing information includes: the identification number of the target resource location to be leased, the target leasing form and the leasing period, obtaining the passenger flow distribution data and sales data of the target building; calculating the floor thermal coefficient of the floor to which the target resource location belongs and the regional thermal coefficient of the target resource location based on the passenger flow distribution data; determining the income benchmark value of the target building according to the sales data; calculating the regional budget income of the target resource location based on the income benchmark value, the floor thermal coefficient of the floor to which the target resource location belongs and the regional thermal coefficient of the target resource location; determining the income benchmark value of the target building according to the sales data; calculating the average daily discount coefficient based on the daily discount coefficient of each rental day within the leasing period; calculating the rental unit price of the target resource location based on the business format discount coefficient of the target leasing form, the average daily discount coefficient and the regional budget income of the target resource location.

[0068] The product of the income benchmark value, the floor thermal coefficient of the floor to which the target resource location belongs, and the regional thermal coefficient of the target resource location is used as the regional budget income of the target resource location. The average of the daily discount and premium coefficients of each rental day during the rental period is used as the average daily discount and premium coefficient. The product of the business discount and premium coefficient of the target rental form, the average daily discount and premium coefficient, and the regional budget income of the target resource location is used as the rental unit price of the target resource location.

[0069] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0070] Figure 4 Schematic diagram of an electronic device 4 provided in an embodiment of the present application. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the processor 401. When the processor 401 executes the computer program 403, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 401 executes the computer program 403, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0071] The electronic device 4 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that Figure 4 The electronic device 4 is merely an example and does not limit the electronic device 4 , and may include more or less components than those shown in the figure, or different components.

[0072] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0073] The memory 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 4. The memory 402 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.

[0074] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0075] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, and the computer program code may be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0076] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical feature diagrams therein. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A resource position pricing method, characterized in that: include: Obtain passenger flow distribution data and sales data of the target building; Calculating the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor based on the passenger flow distribution data; Determine the revenue benchmark value of the target building according to the sales data; Calculate the regional budget income of each resource position based on the income benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position; The unit rental price of each resource location under different leasing forms is determined according to the regional budget revenue of each resource location.

2. The method according to claim 1, characterized in that Calculating the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor based on the passenger flow distribution data includes: Counting the passenger flow distribution data to obtain the building passenger flow of the target building, the floor passenger flow of each floor, and the regional passenger flow of each resource location; Calculating the floor thermal coefficient of the floor based on the passenger flow of the building and the floor passenger flow of each floor; The regional thermal coefficient of each resource location is calculated based on the floor passenger flow of the floor to which each resource location belongs and the regional passenger flow of the resource location.

3. The method according to claim 1, characterized in that The unit rental price of each resource location under different rental forms is determined according to the regional budget income of each resource location, including: Determine the business premium coefficients for various lease forms; The rental unit price of each resource location under various leasing forms is calculated based on the business premium / discount coefficient of each leasing form and the regional budget income of each resource location.

4. The method according to claim 1, characterized in that: After calculating the regional budget revenue of each resource location based on the revenue benchmark value, the floor thermal coefficient of the floor to which each resource location belongs, and the regional thermal coefficient of each resource location, the method further includes: The unit rental price of each resource location under different rental forms and different rental days is determined according to the regional budget income of each resource location.

5. The method according to claim 4, characterized in that The rental unit price of each resource location under different rental forms and different rental days is determined according to the regional budget income of each resource location, including: Determine the business type discount / surplus coefficients of various lease forms and the rental day discount / surplus coefficients of each lease day; The rental unit price of the resource location under various rental forms and on each rental day is calculated based on the business premium / discount coefficient of various rental forms, the rental day premium / discount coefficient of each rental day and the regional budget income of each resource location.

6. The method according to claim 5, characterized in that Based on the business discount / surplus coefficients of various lease forms, the daily discount / surplus coefficients of each lease day, and the regional budget income of each resource location, the rental unit price of the resource location under various lease forms and on each lease day is calculated, including: Acquire the lease information of the target tenant, wherein the lease information includes: the identification number of the target resource location to be leased, the target lease form and the lease period; Calculate the average daily discount factor based on the daily discount factor of each lease day during the lease period; The rental unit price of the target resource location is calculated based on the business type premium / discount coefficient of the target rental type, the average premium / discount coefficient of the rental day, and the regional budget income of the target resource location.

7. The method according to claim 1, characterized in that After calculating the regional budget revenue of each resource location based on the revenue benchmark value, the floor thermal coefficient of the floor to which each resource location belongs, and the regional thermal coefficient of each resource location, the method further includes: Obtain the historical average rental price of the target building; Determine the lease base value of the target building according to the historical average lease unit price; The rental unit price of each resource location under different rental forms is determined according to the regional budget income of each resource location and the rental benchmark value.

8. A resource position pricing device, characterized in that: include: An acquisition module, configured to acquire passenger flow distribution data and sales data of a target building; A first calculation module is configured to calculate the floor thermal coefficient of each floor in the target building and the regional thermal coefficient of each resource position in each floor based on the passenger flow distribution data; A first determination module is configured to determine an income benchmark value of the target building according to the sales data; A second calculation module is configured to calculate the regional budget income of each resource position based on the income benchmark value, the floor thermal coefficient of the floor to which each resource position belongs, and the regional thermal coefficient of each resource position; The second determination module is configured to determine the rental unit price of each resource position under different rental forms according to the regional budget income of each resource position.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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