A park investment promotion management method and system
By calculating the difficulty of renting and selling of commercial space in the park and the matching degree of customer enterprises and adjusting the preferential strategy, the problem of low rental and selling transaction rates in the park is solved, and the park's rental and selling transaction rates and diversified corporate structure are improved.
Patent Information
- Application Number
- CN202510542928.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-28
- Publication Date
- 2025-07-25
- Estimated Expiration
- 2045-04-28
AI Technical Summary
During the park investment process, commercial spaces with a higher popularity are first rented and sold, while commercial spaces with a lower popularity are problematic and difficult to rent and sell, resulting in a low rental and sale transaction rate in the park and it is difficult to adjust personalized discount strategies for every customer enterprise that has not been rented and sold.
By obtaining the attribute value and rental status of the commercial space, the industry type and scale of the customer enterprise, and the browsing time, etc., we calculate indicators such as the popularity attractiveness index, the degree of attraction influence, the difficulty index of the rental and sales difficulty index and the matching degree, and adjust the preferential strategies of the unrented and sold customer enterprises to improve the rental and sales transaction rate.
Through personalized preferential strategy adjustments, the rental and sale transaction rate of the park has been improved, and the competitiveness of the park and the diversified development of the enterprise structure have been enhanced.
Smart Images

Figure CN120069619B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data processing, and particularly relates to a park investment promotion management method and system. Background Art
[0002] Under the background of current economic globalization and the transformation and upgrading of the industrial structure, various parks, as important carriers of economic development, on the one hand play an increasingly important role in attracting high-end industries, cultivating emerging industries, and promoting regional economic development. On the other hand, the competition among parks is becoming increasingly fierce, and the innovation of the investment promotion management model has become the key to enhancing the competitiveness of parks.
[0003] During the park investment promotion process, as the park investment promotion progresses, the commercial spaces with higher popularity are first leased or sold, and there is a problem that the lease and sale of commercial spaces with lower popularity become more difficult. For all customer enterprises that have not completed lease or sale transactions, due to the different industry types and enterprise scales of different customer enterprises, and the real-time change of the lease and sale status of the commercial spaces in the park, it is difficult to make personalized adjustments to the preferential strategies for the unsold commercial spaces for each customer enterprise that has not completed lease or sale transactions, resulting in a low lease and sale success rate in the park. Summary of the Invention
[0004] The present invention provides a park investment promotion management method and system to solve the problem of the low lease and sale success rate of existing parks. The specific technical solutions adopted are as follows:
[0005] The present invention proposes a park investment promotion management method, which includes the following steps:
[0006] Obtain the attribute values and lease and sale transaction status of each attribute of each commercial space in the park; obtain the industry type, enterprise scale of each customer enterprise, and the browsing duration of each commercial space in each investment promotion cycle;
[0007] According to the browsing duration of the customer enterprise for each commercial space in each investment promotion cycle, obtain the heat attraction index of each investment promotion cycle; combine the change trend relationship of the lease and sale volume to obtain the attraction influence degree of each investment promotion cycle; according to the lease and sale transaction status of commercial spaces with the same attributes, obtain the lease and sale difficulty index of each commercial space in each investment promotion cycle; combine the attraction influence degree and heat attraction index of the investment promotion cycle to obtain the lease and sale difficulty of each commercial space in each investment promotion cycle;
[0008] According to the attribute values of the commercial spaces leased and sold by other customer enterprises with the same industry type and enterprise scale as the customer enterprise, obtain the matching degree of each customer enterprise to each commercial space;
[0009] Based on the scale of each enterprise in the park currently, the number of customer enterprises that have completed lease or sale transactions for each industry type, as well as the scale and industry type of customer enterprises that have not completed lease or sale transactions, obtain the introduction promotion index of customer enterprises that have not completed lease or sale transactions;
[0010] Based on the introduction promotion index of customer enterprises that have not completed lease or sale transactions, the lease and sale difficulty of the investment promotion cycle, and the matching degree of customer enterprises to each commercial space, obtain the introduction strength of customer enterprises that have not completed lease or sale transactions, and adjust the preferential strategies for each customer enterprise that has not completed lease or sale transactions.
[0011] Further, the specific method for obtaining the heat attraction index of each investment promotion cycle based on the browsing duration of customer enterprises for each commercial space in each investment promotion cycle is as follows:
[0012] Based on the browsing duration of customer enterprises for each commercial space in each investment promotion cycle, obtain the popularity of each commercial space in each investment promotion cycle;
[0013] For any investment promotion cycle, denote the average value of the popularity of all leased or sold commercial spaces in this investment promotion cycle as the lease and sale heat index of this investment promotion cycle;
[0014] Denote the average value of the popularity of all unsold commercial spaces at the beginning of this investment promotion cycle in this investment promotion cycle as the stock heat index of this investment promotion cycle;
[0015] Denote the ratio of the lease and sale heat index of this investment promotion cycle to the stock heat index as the heat attraction index of this investment promotion cycle.
[0016] Further, the specific method for obtaining the popularity of each commercial space in each investment promotion cycle based on the browsing duration of customer enterprises for each commercial space in each investment promotion cycle is as follows:
[0017] For any attribute value of any attribute of a commercial space, in any investment promotion cycle, denote the sum of the browsing durations of any customer enterprise for all commercial spaces with this attribute value as the interest index of this customer enterprise for this attribute value in this investment promotion cycle;
[0018] Denote the sum of the interest indices of all customer enterprises for this attribute value in this investment promotion cycle as the popularity index of this attribute value in this investment promotion cycle;
[0019] For any commercial space, denote the sum of the popularity indices of all attribute values of this commercial space in this investment promotion cycle as the popularity of this commercial space in this investment promotion cycle.
[0020] Further, the specific method for obtaining the attraction influence degree of each investment promotion cycle includes:
[0021] Denote any investment promotion cycle as the target investment promotion cycle, and denote the linear normalization result of the difference between the heat attraction index of the target investment promotion cycle and the heat attraction index of the previous investment promotion cycle of the target investment promotion cycle as the attraction change index of the target investment promotion cycle;
[0022] Denote the linear normalization result of the difference between the lease and sale transaction volume within the target investment promotion cycle and the lease and sale transaction volume of the previous investment promotion cycle of the target investment promotion cycle as the transaction change index of the target investment promotion cycle;
[0023] Denote the inverse normalization result of the absolute value of the difference between the attraction change index and the transaction change index of the target investment promotion cycle as the attraction influence degree of the target investment promotion cycle.
[0024] Further, the specific method for obtaining the lease and sale difficulty index of each commercial space in each investment promotion cycle according to the lease and sale transaction status of commercial spaces with the same attributes includes:
[0025] For any commercial space and any investment promotion cycle, denote the commercial spaces with the same attributes as the commercial space as the similar spaces of the commercial space, and denote the ratio of the number of similar spaces of the commercial space that have not been leased or sold at the beginning of the investment promotion cycle to the total number of similar spaces of the commercial space as the lease and sale difficulty index of the commercial space in the investment promotion cycle.
[0026] Further, the specific method for obtaining the lease and sale difficulty of each commercial space in each investment promotion cycle includes:
[0027] The rd commercial space in the th investment promotion cycle is calculated as follows:
[0028]
[0029] In the formula, is the lease and sale difficulty of the th commercial space in the th investment promotion cycle; is the lease and sale difficulty index of the th commercial space in the th investment promotion cycle; is the attraction influence degree of the th investment promotion cycle; is the heat attraction index of the th investment promotion cycle; is the linear normalization function.
[0030] Further, obtaining the matching degree of each customer enterprise to each commercial space according to the attribute values of the commercial spaces leased and sold by other customer enterprises with the same industry type and enterprise scale as the customer enterprise includes the following specific methods:
[0031] At the current moment, any customer enterprise is recorded as the target customer enterprise, and the customer enterprises that have completed lease and sale transactions with the same industry type and enterprise scale as this customer enterprise are recorded as the reference customer enterprises of the target customer enterprise; for any attribute value of any attribute of the commercial space, obtain the number of commercial spaces with this attribute value among the commercial spaces leased and sold by all the reference customer enterprises of the target customer enterprise, which is recorded as the preference index of the target customer enterprise for this attribute value. The standard deviation of the preference indices of the target customer enterprise for all attribute values of this attribute is recorded as the attention degree of the target customer enterprise to this attribute;
[0032] The ratio of the preference index of the target customer enterprise for this attribute value to the number of reference customer enterprises of the target customer enterprise is recorded as the selection degree of the target customer enterprise for this attribute value;
[0033] The product of the attention degree of the target customer enterprise to this attribute and the selection degree for this attribute value is recorded as the matching probability of the target customer enterprise for this attribute value;
[0034] For any commercial space, the product of the matching probabilities of the target customer enterprise for all attribute values of this commercial space is recorded as the matching degree of the target customer enterprise to this commercial space.
[0035] Further, obtaining the introduction promotion index of the customer enterprises that have not completed lease and sale transactions according to the number of customer enterprises that have completed lease and sale transactions for each enterprise scale and each industry type in the park currently, as well as the enterprise scale and industry type of the customer enterprises that have not completed lease and sale transactions includes the following specific methods:
[0036] At the current moment, according to the number of customer enterprises that have completed lease and sale transactions in each enterprise scale, obtain the inverse normalization result of the Gini coefficient of the park currently, which is recorded as the industry evenness of the park currently;
[0037] Obtain the industry types to which all the customer enterprises that have completed lease and sale transactions belong. For any industry type, the ratio of the number of customer enterprises belonging to this industry type among the customer enterprises that have completed lease and sale transactions to the number of all customer enterprises that have completed lease and sale transactions is recorded as the industry proportion of this industry type; the inverse normalization result of the sum of the squares of the industry proportions of all industry types is recorded as the diversity index of the park currently;
[0038] For any customer enterprise that has not completed lease and sale transactions, add this customer enterprise to the customer enterprises that have completed lease and sale transactions, and obtain the changed industry evenness and changed diversity index of this customer enterprise;
[0039] The calculation method of the introduction promotion index of the
[0040]
[0041] nth unsold and untraded customer enterprise is as follows: In the formula, is the introduction promotion index of the nth unsold and untraded customer enterprise; is the change industry uniformity of the nth unsold and untraded customer enterprise; is the current industry uniformity of the park;
[0042] Further, the introduction strength of the
[0043] unsold and untraded customer enterprise is obtained according to the introduction promotion index of the
[0044] unsold and untraded customer enterprise, the lease and sale difficulty of the investment promotion cycle, and the matching degree of the customer enterprise to each commercial space. The specific method includes: At the current moment, the previous investment promotion cycle of the current investment promotion cycle is recorded as the main cycle;
[0045]
[0046] The calculation method of the introduction strength of the nth unsold and untraded customer enterprise is as follows: In the formula, is the introduction strength of the nth unsold and untraded customer enterprise; is the introduction promotion index of the nth
[0047] The present invention also provides a park investment promotion management system, which includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the above method are implemented.
[0048] The beneficial effects of the present invention are as follows: During the park investment promotion process, the purpose of the park implementing different preferential strategies for customer enterprises is to solve the problem of the low lease and sale success rate in the current park. Therefore, it is necessary to judge the lease and sale difficulty of each commercial space in each investment promotion cycle. The present invention obtains the lease and sale difficulty of each commercial space in each investment promotion cycle through the attraction influence degree and heat attraction index of the investment promotion cycle and the lease and sale difficulty index of the commercial space in each investment promotion cycle, providing a basis for the size of the preferential intensity; Since the industry types and enterprise scales of different customer enterprises are different, and there are also differences in the attributes of the commercial spaces they need to lease, the present invention obtains the matching degree of each customer enterprise to each commercial space through the attribute values of the commercial spaces leased and sold by other customer enterprises with the same industry type and enterprise scale as the customer enterprise, and judges the demand degree of each unleased and unsold customer enterprise for the unleased and unsold commercial spaces in the current park; Since the development of the park is affected by the enterprise composition structure within the park, the concentration of the enterprise industry distribution within the park will affect the current overall development within the park. The present invention obtains the introduction promotion index of the unleased and unsold customer enterprises through the number of customer enterprises leased and sold and the enterprise scales and industry types of the unleased and unsold customer enterprises according to each enterprise scale and each industry type in the current park, and judges the priority degree of the introduction of customer enterprises. Thus, the present invention obtains the introduction intensity of the unleased and unsold customer enterprises through the introduction promotion index of the unleased and unsold customer enterprises, the lease and sale difficulty of the investment promotion cycle, and the matching degree of the customer enterprise to each commercial space, and then adjusts the preferential strategies for the unleased and unsold customer enterprises, improving the lease and sale success rate of the park. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0050] Figure 1 It is a schematic flowchart of a park investment promotion management method provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.
[0052] Please refer to Figure 1 , which shows a flowchart of a park investment promotion management method provided by an embodiment of the present invention. The method includes the following steps:
[0053] Step S001: Obtain the attribute values of each attribute of each commercial space in the park and the lease / sale transaction status in each investment promotion cycle; obtain the industry type, enterprise scale of each customer enterprise, and the browsing duration of each commercial space by each customer enterprise in each investment promotion cycle.
[0054] It should be noted that when the park leases or sells commercial spaces, different commercial spaces have different attributes, which include but are not limited to building location, floor, area, and orientation. Customer enterprises have different degrees of interest in commercial spaces with different attributes. In order to obtain the degree of interest in commercial spaces with different attribute combinations, it is first necessary to obtain the interaction data of customer enterprises on the lease / sale information of the park's commercial spaces.
[0055] Specifically, before the park leases or sells commercial spaces, it publishes the lease / sale information of all commercial spaces in the park on the park's lease / sale information website. The lease / sale information includes the real scene pictures of the leased / sold commercial spaces and several space attributes. Among them, the space attributes include but are not limited to the building location, floor, area, and orientation of the leased / sold commercial spaces; among them, each attribute contains several attribute values. Taking the area of the commercial space as an example, the attribute values of the area of the commercial space include 30 square meters, 50 square meters, 100 square meters, and 200 square meters.
[0056] After the park officially starts investment promotion, every day is used as an investment promotion cycle; among them, is the preset cycle days, and this embodiment is described by taking as an example; before the customer enterprise browses the park's lease / sale information website, it first requires the customer enterprise to register an account. The information filled in during registration includes the industry type and enterprise scale to which the customer enterprise belongs. Among them, the industry type is divided according to the major categories in the Industry Classification and Codes of GB / T 4754-2017, and the enterprise scale divides enterprises into four categories: large, medium, small, and micro according to the Industry Classification and Codes of GB / T 4754-2017; when the customer enterprise browses the park's lease / sale information website, obtain the browsing duration of each commercial space browsed by each customer enterprise in each investment promotion cycle when browsing the lease / sale information website; obtain the lease / sale information of the commercial spaces leased / sold by each customer enterprise.
[0057] Obtain the commercial spaces leased / sold in each investment promotion cycle after the park officially starts investment promotion and the commercial spaces that were not leased / sold at the beginning of each investment promotion cycle.
[0058] Step S002: Obtain the heat attraction index for each investment promotion cycle based on the browsing duration of each commercial space by the customer enterprise in each investment promotion cycle; combine the changing trend relationship of the lease and sale transaction volume to obtain the attraction influence degree for each investment promotion cycle; based on the lease and sale transaction status of commercial spaces with the same attributes, obtain the lease and sale difficulty index for each commercial space in each investment promotion cycle; combine the attraction influence degree and the heat attraction index of the investment promotion cycle to obtain the lease and sale difficulty for each commercial space in each investment promotion cycle.
[0059] It should be noted that for any customer enterprise, if the browsing duration of the customer enterprise in a certain commercial space is longer, it indicates that the customer enterprise is more interested in the commercial space. The reason why the customer enterprise is interested in the commercial space is mainly that certain attributes of the commercial space are more attractive to the customer enterprise. Therefore, analyze the browsing duration of all commercial spaces browsed by the customer enterprise when browsing the lease and sale information website to judge the popularity of each commercial space.
[0060] Specifically, for any attribute value of any attribute of a commercial space, in any investment promotion cycle, record the sum of the browsing durations of all commercial spaces with this attribute value browsed by any customer enterprise as the interest index of the customer enterprise in this attribute value in this investment promotion cycle;
[0061] Record the sum of the interest indexes of all customer enterprises in this attribute value in this investment promotion cycle as the popularity index of this attribute value in this investment promotion cycle;
[0062] For any commercial space, record the sum of the popularity indexes of all attribute values of this commercial space in this investment promotion cycle as the popularity of this commercial space in this investment promotion cycle.
[0063] It should be noted that after the park officially starts investment promotion, as the lease and sale transactions of commercial spaces progress, the number of remaining commercial spaces within the park also continuously decreases. In the initial stage of the lease and sale stage, there are a large number of highly popular commercial spaces in the park. Therefore, during the lease and sale process, customer enterprises will preferentially select these commercial spaces with a higher popularity. As a result, both the popularity and quantity of the leased and sold commercial spaces in the early lease and sale stage remain at a relatively high level. However, as the number of highly popular commercial spaces in the stock of commercial spaces decreases, the enthusiasm of customer enterprises in choosing decreases, and thus the lease and sale quantity decreases. Therefore, obtain the heat attraction index of the investment promotion cycle based on this.
[0064] Specifically, for any investment promotion cycle, record the average value of the popularity of all leased and sold commercial spaces in this investment promotion cycle as the lease and sale heat index of this investment promotion cycle;
[0065] The average popularity of all commercial spaces that have not been sold or leased at the beginning of the investment promotion cycle during the investment promotion cycle is recorded as the stock heat index of the investment promotion cycle;
[0066] The ratio of the rental and sales heat index to the stock heat index of the investment promotion cycle is recorded as the heat attractiveness index of the investment promotion cycle.
[0067] It should be noted that in the early stage after the park starts to attract investment, since client companies will first purchase commercial spaces with high popularity, the rental and sales heat index in the early stage after the park starts to attract investment is much larger than the stock heat index. As the commercial spaces with high popularity are sold, client companies’ enthusiasm for selection decreases, and the rental and sales heat index in the later stage is slightly different from the stock heat index, that is, as the investment and leasing transactions progress, the heat attractiveness index becomes lower and lower.
[0068] It should be noted that for any investment promotion cycle, if the rental and sales transaction volume of the investment promotion cycle is affected by the change of the heat attraction index, the rental and sales transaction volume of the investment promotion cycle has the same change trend as the heat attraction index, so the degree of attraction of the investment promotion cycle is obtained based on this.
[0069] Specifically, any investment promotion cycle is recorded as a target investment promotion cycle, and the linear normalization result of the difference between the heat attraction index of the target investment promotion cycle and the heat attraction index of the investment promotion cycle before the target investment promotion cycle is recorded as the attraction change index of the target investment promotion cycle; wherein the object of linear normalization is the difference between the heat attraction index of each investment promotion cycle and the heat attraction index of the investment promotion cycle before it;
[0070] The linear normalization result of the difference between the leasing and sales transaction volume in the target investment promotion cycle and the leasing and sales transaction volume in the investment promotion cycle before the target investment promotion cycle is recorded as the transaction change index of the target investment promotion cycle; wherein the object of linear normalization is the difference between the leasing and sales transaction volume in each investment promotion cycle and the leasing and sales transaction volume in the investment promotion cycle before it;
[0071] The inversely proportional normalized result of the absolute value of the difference between the attractiveness change index and the transaction change index of the target investment promotion cycle is recorded as the attractiveness impact degree of the target investment promotion cycle; it should be noted that if the investment promotion cycle before the target investment promotion cycle does not exist, the attractiveness impact degree of the target investment promotion cycle is recorded as 1.
[0072] It should be noted that the greater the attractiveness of the target investment promotion cycle, the greater the impact of the heat attraction index will have on the leasing and sales transaction volume during the investment promotion cycle.
[0073] It should be noted that for any commercial space, the higher the proportion of rental and sale transactions with commercial spaces with the same attributes, the easier it is to rent and sell the commercial space.
[0074] Specifically, for any commercial space and any investment promotion cycle, the commercial spaces with the same attributes as the commercial space are denoted as the similar spaces of the commercial space. The ratio of the number of similar spaces of the commercial space that have not been leased or sold at the beginning of the investment promotion cycle to the number of all similar spaces of the commercial space is denoted as the lease and sale difficulty index of the commercial space in the investment promotion cycle.
[0075] Furthermore, the calculation method of the lease and sale difficulty of the th commercial space in the
[0076]
[0077] In the formula, is the lease and sale difficulty of the th commercial space in the th investment promotion cycle; is the lease and sale difficulty index of the th commercial space in the th investment promotion cycle; is the attraction influence degree of the th investment promotion cycle; is the heat attraction index of the th investment promotion cycle; is a linear normalization function, and the normalization object is the of each commercial space in all investment promotion cycles.
[0078] It should be noted that the larger, the more difficult it is to lease or sell the th commercial space in the th investment promotion cycle; is the weight of . When is larger, it indicates that the lease and sale volume of the investment promotion cycle is more affected by the heat attraction index, that is, the influence degree of the heat attraction index on the lease and sale difficulty is greater. If at the same time is smaller, that is, the heat attraction index of the investment promotion cycle is smaller, then it is more difficult to lease or sell the th investment promotion cycle.
[0079] Step S003: Obtain the matching degree of each customer enterprise to each commercial space according to the attribute values of the commercial spaces leased and sold by other customer enterprises with the same industry type and enterprise scale as the customer enterprise.
[0080] It should be noted that after the park starts attracting investments, the remaining commercial space will continuously decrease as the investment attraction progresses. The park sales staff needs to adjust the investment attraction strategy during the investment attraction process according to the remaining status of the commercial space at the current corresponding stage, so as to reduce the vacancy rate of the commercial space within the park. Since different customer enterprise industry types and enterprise scales are different, and the matching degrees of customer enterprises to different commercial spaces are different, resulting in different demand degrees of customer enterprises for different commercial spaces, it is necessary to analyze the current lease and sale situation to obtain the matching degree of customer enterprises to commercial spaces.
[0081] Specifically, at the current moment, any customer enterprise is recorded as the target customer enterprise, and the customer enterprises that have completed lease and sale transactions with the same industry type and enterprise scale as the target customer enterprise are recorded as the reference customer enterprises of the target customer enterprise; for any attribute value of any attribute of the commercial space, the number of commercial spaces with this attribute value among the commercial spaces leased and sold by all the reference customer enterprises of the target customer enterprise is obtained, which is recorded as the preference index of the target customer enterprise for this attribute value. The standard deviation of the preference indexes of the target customer enterprise for all attribute values of this attribute is recorded as the attention degree of the target customer enterprise to this attribute;
[0082] The ratio of the preference index of the target customer enterprise for this attribute value to the number of reference customer enterprises of the target customer enterprise is recorded as the selection degree of the target customer enterprise for this attribute value;
[0083] The product of the attention degree of the target customer enterprise to this attribute and the selection degree of the target customer enterprise for this attribute value is recorded as the matching probability of the target customer enterprise for this attribute value;
[0084] For any commercial space, the product of the matching probabilities of the target customer enterprise for all attribute values of this commercial space is recorded as the matching degree of the target customer enterprise for this commercial space.
[0085] Step S004: According to the number of customer enterprises that have completed lease and sale transactions for each enterprise scale and each industry type in the park currently, as well as the enterprise scales and industry types of the customer enterprises that have not completed lease and sale transactions, obtain the introduction promotion index of the customer enterprises that have not completed lease and sale transactions.
[0086] It should be noted that the development of the park is affected by the enterprise composition structure within the park. The concentration degree of the industry distribution of enterprises within the park will affect the current development within the entire park. When there is a phenomenon of "single - type" or excessive concentration of industries within the park. For example, if a certain industry occupies too high a proportion of the park's resources, it may lead to the lack of diversification of the park's industrial chain, or the market fluctuations of a certain industry will have a greater impact on the park. If the enterprise to be settled can promote the industrial diversification within the current park, then the sales staff can give a higher introduction intensity to attract the corresponding enterprise to join. Therefore, it is necessary to analyze the concentration degree of the enterprise industry within the park and the concentration degree of the enterprise scale within the park.
[0087] Specifically, at the current moment, according to the number of customer enterprises that have completed lease and sale transactions in each enterprise scale, obtain the inverse normalization result of the Gini coefficient of the park at present, which is denoted as the current industry evenness of the park; among them, the method for obtaining the Gini coefficient is a well - known technology, and the specific method will not be introduced here;
[0088] Obtain the industry types to which all customer enterprises that have completed lease and sale transactions belong. For any one industry type, the ratio of the number of customer enterprises belonging to this industry type among the customer enterprises that have completed lease and sale transactions to the number of all customer enterprises that have completed lease and sale transactions is denoted as the industry proportion of this industry type; the inverse normalization result of the sum of the squares of the industry proportions of all industry types is denoted as the current diversity index of the park;
[0089] For any customer enterprise that has not completed lease and sale transactions, add this customer enterprise to the customer enterprises that have completed lease and sale transactions. According to the method for obtaining the current industry evenness of the park, obtain the changed industry evenness of this customer enterprise. According to the method for obtaining the current diversity index of the park, obtain the changed diversity index of this customer enterprise;
[0090] The calculation method of the introduction promotion index of the nth customer enterprise that has not completed lease and sale transactions is as follows:
[0091]
[0092] In the formula, is the introduction promotion index of the nth customer enterprise that has not completed lease and sale transactions; is the changed industry evenness of the nth customer enterprise that has not completed lease and sale transactions; is the current industry evenness of the park; is the changed diversity index of the nth customer enterprise that has not completed lease and sale transactions; is the current diversity index of the park; is the nth is the current diversity index of the park; is a linear normalization function, and the normalization object is that of all customer enterprises that have not been leased or sold .
[0093] It should be noted that when this customer enterprise is introduced, if both the current industry uniformity and diversity index of the park increase, the higher the degree of promotion to the park after the introduction of this customer enterprise.
[0094] Step S005: Obtain the introduction strength of customer enterprises that have not been leased or sold based on the introduction promotion index of customer enterprises that have not been leased or sold, the lease and sale difficulty of the investment promotion cycle, and the matching degree of customer enterprises to each commercial space, and adjust the preferential strategies for each customer enterprise that has not been leased or sold.
[0095] It should be noted that during the investment promotion process of the park, there will be a large number of customer enterprises in different industries and of different scales leasing specific commercial spaces with different attributes within the park. During this process, the park needs to consider the overall lease and sale situation on the one hand, and also consider the current industry distribution within the park on the other hand. For any customer enterprise that has not been leased or sold, if the introduction promotion index of this customer enterprise is higher, a larger preferential strategy should be given to this enterprise to retain it when the lease and sale difficulty of the commercial space is greater. Therefore, the introduction strength of each customer enterprise that has not been leased or sold is calculated accordingly.
[0096] It should be further noted that since there may be a situation where the data of leased and sold commercial spaces is 0 in the investment promotion cycle at the current moment, the previous investment promotion cycle at the current moment is selected for the analysis of the introduction strength of customer enterprises that have not been leased or sold.
[0097] Specifically, at the current moment, the previous investment promotion cycle at the current moment is recorded as the main cycle; it should be noted that if the previous investment promotion cycle at the current moment does not exist, it means that the current moment is in the initial stage of investment promotion. At this time, no adjustment of the preferential strategy is required, and the calculation of the introduction strength of customer enterprises that have not been leased or sold is not performed, and the current preferential strategy is maintained;
[0098] The calculation method for the introduction strength of the th customer enterprise that has not been leased or sold is as follows:
[0099]
[0100] In the formula, is the introduction strength of the th customer enterprise that has not been leased or sold; is the introduction promotion index of the th customer enterprise that has not been leased or sold; is the th customer enterprise that has not been leased or sold; It is the average of the difficulty of leasing and selling commercial spaces that have not been sold or leased in the main cycle; For the The maximum value of the matching degree of the client companies that have not completed the lease or sale transaction to all the commercial spaces that have not completed the lease or sale transaction; is a linear normalization function, and the normalization object is all customer companies that have not completed leasing or sales transactions. .
[0101] It should be noted that The larger the The addition of client companies that have not completed leasing and sales transactions will be more conducive to the diversified development of the park; The larger it is, the more difficult it will be to lease and sell all the commercial spaces that have not yet been sold, and the more promotional activities will be needed to increase the number of lease and sale transactions; The smaller the The less likely a client enterprise that has not completed a lease or sale transaction is to settle in the park, the more it is necessary to adjust the corresponding preferential strategy in order to attract the client enterprise.
[0102] Furthermore, the park will rank all the client enterprises that have not yet completed lease and sale transactions from large to small according to their introduction strength, and adjust the preferential strength for the client enterprises from large to small according to the ranking, so as to attract client enterprises to settle in, increase the occupancy rate of the park, and promote the comprehensive development of the enterprise structure in the park.
[0103] This embodiment adopts Model to present inverse proportional relationship and normalization processing, As the input of the model, the implementer can set the inverse proportional function and normalization function according to the actual situation.
[0104] Another embodiment of the present invention provides a park investment promotion management system, which includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the above method steps S001 to S005 are implemented.
[0105] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A park investment promotion management method, characterized in that, The method includes the following steps: Obtain the attribute values of each attribute of each commercial space in the park and the lease / sale transaction status; obtain the industry type, enterprise scale of each customer enterprise, and the browsing duration of each commercial space in each investment promotion cycle; According to the browsing duration of the customer enterprise for each commercial space in each investment promotion cycle, obtain the popularity attraction index of each investment promotion cycle; combine the changing trend relationship of the lease / sale transaction volume to obtain the attraction influence degree of each investment promotion cycle; according to the lease / sale transaction status of commercial spaces with the same attributes, obtain the lease / sale difficulty index of each commercial space in each investment promotion cycle; combine the attraction influence degree and popularity attraction index of the investment promotion cycle to obtain the lease / sale difficulty of each commercial space in each investment promotion cycle; According to the attribute values of the commercial spaces leased / sold by other customer enterprises with the same industry type and enterprise scale as the customer enterprise, obtain the matching degree of each customer enterprise to each commercial space; According to the number of customer enterprises leased / sold and the enterprise scale and industry type of the customer enterprises that have not been leased / sold in the park for each enterprise scale and each industry type, obtain the introduction promotion index of the customer enterprises that have not been leased / sold; According to the introduction promotion index of the customer enterprises that have not been leased / sold, the lease / sale difficulty of the investment promotion cycle, and the matching degree of the customer enterprise to each commercial space, obtain the introduction strength of the customer enterprises that have not been leased / sold, and adjust the preferential strategies for each customer enterprise that has not been leased / sold; The method for obtaining the popularity attraction index is: according to the browsing duration of the customer enterprise for each commercial space in each investment promotion cycle, obtain the popularity of each commercial space in each investment promotion cycle; For any investment promotion cycle, denote the average value of the popularity of all leased / sold commercial spaces in this investment promotion cycle as the lease / sale popularity index of this investment promotion cycle; Denote the average value of the popularity of all commercial spaces that have not been leased / sold at the beginning of this investment promotion cycle as the stock popularity index of this investment promotion cycle; Denote the ratio of the lease / sale popularity index of this investment promotion cycle to the stock popularity index as the popularity attraction index of this investment promotion cycle; The method for obtaining the attraction influence degree is: Denote any investment promotion cycle as the target investment promotion cycle, and denote the linear normalization result of the difference between the popularity attraction index of the target investment promotion cycle and the popularity attraction index of the previous investment promotion cycle of the target investment promotion cycle as the attraction change index of the target investment promotion cycle; Denote the linear normalization result of the difference between the lease / sale transaction volume in the target investment promotion cycle and the lease / sale transaction volume in the previous investment promotion cycle of the target investment promotion cycle as the transaction change index of the target investment promotion cycle; Denote the inverse normalization result of the absolute value of the difference between the attraction change index and the transaction change index of the target investment promotion cycle as the attraction influence degree of the target investment promotion cycle; The method for obtaining the lease and sale difficulty index is as follows: For any commercial space and any investment promotion cycle, the commercial spaces with the same attributes as this commercial space are denoted as the similar spaces of this commercial space. The ratio of the number of similar spaces of this commercial space that have not been leased or sold at the beginning of this investment promotion cycle to the number of all similar spaces of this commercial space is denoted as the lease and sale difficulty index of this commercial space in this investment promotion cycle.
2. The park investment promotion management method according to claim 1, characterized in that, The specific method for obtaining the popularity of each commercial space in each investment promotion cycle based on the browsing duration of each commercial space by customer enterprises in each investment promotion cycle includes: For any attribute value of any attribute of a commercial space, in any investment promotion cycle, the sum of the browsing durations of all commercial spaces with this attribute value browsed by any customer enterprise is denoted as the interest index of this customer enterprise in this attribute value in this investment promotion cycle; The sum of the interest indexes of all customer enterprises in this attribute value in this investment promotion cycle is denoted as the popularity index of this attribute value in this investment promotion cycle; For any commercial space, the sum of the popularity indexes of all attribute values of this commercial space in this investment promotion cycle is denoted as the popularity of this commercial space in this investment promotion cycle.
3. A park investment promotion management method according to claim 1, characterized in that The specific method for obtaining the lease and sale difficulty of each commercial space in each investment promotion cycle includes: The commercial space in the calculation method for the lease and sale difficulty during the Wherein, is the lease and sale difficulty of the th commercial space in the th investment promotion cycle; is the lease and sale difficulty index of the th commercial space in the th investment promotion cycle; is the attracting influence degree of the th investment promotion cycle; is the heat attraction index of the th investment promotion cycle; is a linear normalization function.
4. A park investment promotion management method according to claim 1, characterized in that The specific method for obtaining the matching degree of each customer enterprise to each commercial space based on the attribute values of the commercial spaces leased or sold by other customer enterprises with the same industry type and enterprise scale as the customer enterprise includes: At the current moment, any customer enterprise is denoted as the target customer enterprise, and the customer enterprises that have been leased or sold and have the same industry type and enterprise scale as this customer enterprise are denoted as the reference customer enterprises of the target customer enterprise; For any attribute value of any attribute of a commercial space, the number of commercial spaces with this attribute value leased or sold by all reference customer enterprises of the target customer enterprise is obtained and denoted as the preference index of the target customer enterprise in this attribute value. The standard deviation of the preference indexes of all attribute values of the target customer enterprise in this attribute is denoted as the attention degree of the target customer enterprise to this attribute; The ratio of the preference index of the target customer enterprise in this attribute value to the number of reference customer enterprises of the target customer enterprise is denoted as the selection degree of the target customer enterprise to this attribute value; The product of the attention degree of the target customer enterprise to this attribute and the selection degree to this attribute value is denoted as the matching probability of the target customer enterprise to this attribute value; For any commercial space, the product of the matching probabilities of the target customer enterprise to all attribute values of this commercial space is denoted as the matching degree of the target customer enterprise to this commercial space.
5. A park investment promotion management method according to claim 1, characterized in that, The specific method for obtaining the introduction promotion index of the customer enterprises that have not been leased or sold based on the number of customer enterprises that have been leased or sold in the park for each enterprise scale and each industry type at present and the enterprise scale and industry type of the customer enterprises that have not been leased or sold includes: At the current moment, according to the number of customer enterprises that have completed lease and sale transactions in each enterprise scale, obtain the inverse normalization result of the Gini coefficient of the park at present, which is recorded as the current industry uniformity of the park; Obtain the industry types to which all customer enterprises that have completed lease and sale transactions belong. For any one industry type, the ratio of the number of customer enterprises that belong to this industry type among the customer enterprises that have completed lease and sale transactions to the number of all customer enterprises that have completed lease and sale transactions is denoted as the industry proportion of this industry type; the inverse normalization result of the sum of the squares of the industry proportions of all industry types is recorded as the current diversity index of the park; For any customer enterprise that has not completed lease and sale transactions, add this customer enterprise to the customer enterprises that have completed lease and sale transactions, and obtain the changed industry uniformity and the changed diversity index of this customer enterprise; The calculation method of the introduction promotion index of the customer enterprises without lease or sale transactions is as follows: Wherein, is the introduction promotion index of the th customer enterprise that has not completed lease or sale transactions; is the change industry uniformity of the th customer enterprise that has not completed lease or sale transactions; is the current industry uniformity of the park; is the change diversity index of the th customer enterprise that has not completed lease or sale transactions; is the current diversity index of the park; is a linear normalization function.
6. The park investment promotion management method according to claim 1, wherein The method for obtaining the introduction strength of the customer enterprise that has not completed lease and sale transactions according to the introduction promotion index of the customer enterprise that has not completed lease and sale transactions, the lease and sale difficulty of the investment promotion cycle, and the matching degree of the customer enterprise to each commercial space specifically includes: At the current moment, record the previous investment promotion cycle of the investment promotion cycle at the current moment as the main cycle; The calculation method for the introduction intensity of the customer enterprises that have not been leased or sold and closed deals is as follows: Wherein, is the introduction intensity of the th customer enterprise that has not completed lease or sale transactions; is the introduction promotion index of the th customer enterprise that has not completed lease or sale transactions; is the average value of the lease and sale difficulty of all unsold and unrented commercial spaces in the main cycle; is the maximum value of the matching degree of the th customer enterprise that has not completed lease or sale transactions to all unsold and unrented commercial spaces; is a linear normalization function.
7. A park investment promotion management system, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of a park investment promotion management method according to any one of claims 1-6.
Citation Information
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