TWI784503B - Reasonable rent appraisal system for rental housing and method thereof - Google Patents

Abstract

A reasonable rent appraisal system for rental housing includes a database, an information module, and a process module. The process module is applied for calculating acquired standard rents and the adjustment rate of rent affecting factors in order to appraise a rational rent of an object to-be-appraised. Due to different conditions of the object itself, the advantages or disadvantages thereof is reflected on the rent. Thus, the system takes the real conditions of the object as a rent adjustment basis, thereby practically reflecting the rational rent and avoiding intentional rent inflation. The system defines a representative standard residence as the “standard house”. By establishing certain condition features, the system can accordingly estimates the basis for rent calculation.

Description

Rational rent evaluation system and method for rental housing

The invention relates to a related field of renting houses, in particular to a system and method for evaluating reasonable rents of rented houses.

With the advent of the era of soaring house prices and frozen salaries, the demand for the real estate leasing market has increased significantly. When renting a house, you may face disputes such as unclear disclosure of housing conditions and arbitrary rent increases. In order to solve the aforementioned rental problems, The government proposes three main axes of housing policy, including building social housing, promoting urban renewal, and enacting a special lease law, so as to gradually realize housing justice.

The Ministry of the Interior formally implemented the "Regulations on the Development and Management of the Rental Housing Market" on June 27, 2017, and began to vigorously promote the professional service system that the rental market is moving towards chartering and hosting, so as to improve a more suitable rental housing environment; and to encourage landlords, When tenants join the chartered management plan, the government allocates relevant funds for preferential measures such as tax relief, repair subsidies, rent difference subsidies, etc. Among them, how to substantively review the "rental subsidy" to reach "reasonable market rent" is very important.

Since there is no more indicative public information or rent assessment standards in the current leasing market for reference, private contracts are usually the main focus in the leasing matchmaking process, and the transaction rent is based on the "agreeable price of both parties to the leasing"; although currently The government is trying its best to promote real-price registration, but the real content of the rental rent is full of various A special situation, including: other expenses included in the rent (management fees, cleaning fees, water and electricity fees, the fourth network station, parking spaces, etc.), special transactions (transactions between relatives, friends, employees or other special relationships, only the leased part Area... etc.), which means that the rent is the final rent due to the multiplication effect of pure rent plus other conditions, which leads to the chaos that the current rent market is prone to unrealistic rents.

Although whether it is house rent appraisal or house sale appraisal, both will consider the convenience of public transportation, distance from school districts, living functions, disgusting facilities, etc., but the main reason for house sale is whether the house object itself On the other hand, housing rents are considered based on the lessee's "short-term needs" for the convenience of living functions and the use of living space.

The rent of a house will increase or decrease depending on the "added value" it provides, such as: whether furniture and appliances are provided, whether it has cooking functions, washing and drying equipment, whether pets can be kept, etc., when more conditions are met , the more it can reflect the real value of the rent.

Therefore, although there is an appraisal system related to house sales on the market, there is no such aspect of house rent appraisal. Because the basis and conditions of house sale and house rent appraisal are different, the house sale appraisal system It is not suitable for rent appraisal. The house rent appraisal requires a different appraisal method and system.

In order to solve the above-mentioned problems, the present invention provides a reasonable rent evaluation system and method for rental housing. By means of the standard house rent evaluation model, it can reflect the reasonable rent of each rental object, which can greatly reduce the rent chaos in the rental housing market, so as to achieve Improving the fair leasing market, establishing open and transparent transaction information, and correcting the current situation of the leasing market can not only achieve the purpose of stabilizing the leasing market, but also provide consumers with a system that can measure the reasonable rent level of leased objects.

One embodiment of the present invention provides a rental housing reasonable rent assessment system, which is set up on a server, and the user connects to the server through a terminal device to use the rental housing reasonable rent assessment system; the rental housing reasonable rent assessment system includes: a database , which stores multiple administrative area information, multiple housing type information and multiple regulatory factors, each administrative area information corresponds to each housing type information has a standard room rent, each regulatory factor has multiple class options and a regulation rate corresponding to each class option; one information Module, which is coupled with the database. The information module displays the information of each administrative region, each room type, and each control factor on the terminal device in the form of selection. One of the administrative area information and one of the room type information, and the information module receives the user to select one of the class options corresponding to each control factor through the terminal device according to the condition of the object to be leased; and a processing module, which is connected with the database and The information module is coupled, and the processing module receives the selected room type information, the administrative area information and the class options corresponding to each control factor set by the information module, and the processing module is based on the administrative area information and the room type information Obtain the rent corresponding to the standard room from the database, and the processing module obtains the corresponding adjustment rate from the database according to the class option corresponding to each adjustment factor, wherein the processing module will obtain the rent of the standard room and the The adjustment rate is calculated through a rent calculation program to generate a reasonable rent.

Another embodiment of the present invention provides a method for estimating the reasonable rent of rental housing, which includes: multiple administrative area information, multiple house type information, and multiple control factors are displayed on the terminal device in a selected form, wherein each control factor has multiple level options , each class option class has a corresponding adjustment rate; receive one of the administrative area information and one of the room type information that meets the selection of the object to be rented; receive one of the classes corresponding to the adjustment factors that are set according to the condition of the object to be leased option; according to the information of the administrative area and the information of the room type, the rent corresponding to a standard room can be obtained, and the adjustment rate that can be obtained according to the class option corresponding to each adjustment factor; and the rent of the standard room to be obtained and the rent The adjustment rate is calculated through a rent calculation program to generate a reasonable rent.

Based on the above, the reasonable rent evaluation system and method of the rental housing of the present invention can input the basic information and conditions of the object to be leased into the reasonable rent evaluation system of the rental housing of the present invention, and the reasonable rent of the object to be leased can be directly calculated by the rent calculation program. The method is to compare the conditions of the object to be leased with the conditions of the standard room, and then modify and quantitatively adjust them one by one, which is close to the real rent market. It can be used as the basis for negotiating the rent price between the two parties, and it can also be used for lease renewal Coordination basis for hourly rent adjustments.

The reasonable rent evaluation system for leased houses of the present invention is applicable to general tenants, especially foreigners who have no basic concept of the local rent market, and can effectively solve the obstacles in rent budget setting, or as a service when the landlord renews the contract and increases the rent. Judging the rationality of the increase to avoid lease disputes.

1: Server

2: Terminal device

100: Rational Rent Valuation System for Rental Housing

10: Database

20: Information module

30: Processing modules

S1: step

S2: step

S3: step

S4: step

S5: step

Fig. 1 is a schematic diagram of the research architecture of the present invention.

Fig. 2 is a schematic diagram of connecting blocks of the present invention.

Fig. 3 is a schematic diagram of the system architecture of the present invention.

Fig. 4 is a schematic flow chart of the method of the present invention.

Fig. 5 is a schematic diagram (1) of the system screen of the present invention.

Fig. 6 is a schematic diagram (2) of the system screen of the present invention.

Fig. 7 is a schematic diagram (3) of the system screen of the present invention.

For the ease of description of the present invention in the central thought expressed in the above-mentioned content of the invention column, hereby Expressed in specific examples. Various objects in the embodiments are drawn according to proportions, sizes, deformations or displacements suitable for illustration, rather than drawn according to the proportions of actual components, which are described first.

Please refer to shown in Fig. 1, it is the schematic diagram of the structure of the present invention's research, and the following system first explains in detail one by one for each research step:

(1) The reason for the invention: the conditions of various residential rental objects in the current rental market are different. If the rental prices are directly compared without adjusting the rental conditions to the same level, it is obvious that there is no basis for comparison on the same benchmark, and the comparison results are not consistent. It has reference value, so the present invention introduces the concept of "standard housing". By establishing a fixed quality benchmark value as the change of rent evaluation, it can avoid the distortion of rent evaluation results due to the existence of unequal comparison conditions.

(2) Research object: This invention will focus on the legal distinction between all buildings (residential buildings, apartments, mansions) and Tutiancuo, which means excluding commercial offices, factories, stores and other non-residential buildings without independent house numbers The cubicle suite is also excluded because it is an illegal building; the room type is divided into one room, one room and one living room, two rooms, three rooms and four rooms, and Tutiancuo is regarded as four rooms and counted together.

(3) Research scope: The 29 administrative districts of Taichung City are taken as the research scope, namely: Central District, East District, West District, South District, North District, Xitun District, Nantun District, Beitun District, Fengyuan District, Dali District, Taiping District, Qingshui District, Shalu District, Dajia District, Dongshi District, Wuqi District, Wuri District, Shengang District, Dadu District, Daya District, Houli District, Wufeng District, Tanzi District, Longjing District District, Waipu District, Heping District, Shigang District, Daan District and Xin Community.

However, considering that the residential leasing market in each administrative region has its own characteristics, and the transaction rent and transaction volume also have gaps, and the information available for reference in some remote administrative regions is obviously insufficient, it may be difficult to obtain a clear consensus value, so the present invention adopts The concept of "administrative district group" will be based on the leasing transaction volume, average rent amount, population, population density, residential transaction volume, etc. in the local area, and comprehensive consideration is related to the leasing market Statistical indicators of sex, divide those with similar conditions and attributes into the same group, and the number of groups should be three to five groups in principle to ensure the accuracy of the rent level range table. The detailed grouping process and contents are as follows:

(1) Source of data: Rental transactions of residential buildings (distinguishing all buildings) in Taichung City from 2016 to 2019 on the housing rental website. And the statistical data of each administrative district of Taichung City Government's Accounting Office from 2016 to 2019, including: population, population density, population growth, residential transaction volume, construction license, official license...etc.

(2) Sample integration: The total number of samples in the renting house network is 68,340. After excluding samples with a ping size of more than 100 ping and rents that are significantly different from normal, the total number of effective samples is 68,110. Please refer to the statistical results of the number of samples in each administrative region The details are shown in Table 1 below (Note: Heping District is not included due to too few valid samples).

(3) Variable analysis: According to the rental website, the variables obtained are the leasing transaction volume and the average rent amount in each administrative region. And according to the statistical data of Taichung City Government's Accounting Office, the variables obtained are the population, population density, population growth, residential transaction volume, construction license, and official license...etc. of each administrative district.

(4) Analysis process: Table 2 shows the grouping trial calculation 1, among which, the grouping trial calculation 1 is based on the market supply Depending on the situation, the selected variables are leasing transaction volume, average rent amount, population, population density, residential transaction volume, construction license and usage license, among which the leasing transaction volume and average rent amount are the statistics of actual transaction cases, and the population and Population density reflects "potential market demand", residential transaction volume reflects "effective market demand", and building licenses and licenses reflect "market supply". Due to the large differences in the number of groups, the results of trial calculation 1 are not used.

Table 3 and Table 4 show the grouping trial calculation 2 and grouping trial calculation 3, among which, the clustering trial calculation 2 and the clustering trial calculation 3 are the grouping variables for checking the clustering trial calculation 1, and among them, the three indicators of construction license, working license and residential transaction volume are highly correlated , which obviously violates the principle of "the variables of the clustering should be independent of each other", which leads to the large difference in the number of groups in the clustering test calculation 1. Therefore, the clustering test calculation 2 and 3 should select one of the three indicators of the construction license, the license and the housing transaction volume. It can be used as a variable; therefore, the residential transaction volume indicator is retained for the second group trial calculation, and the third trial calculation is based on the indicator, and the population growth rate is used instead of the population to reflect the dynamics of the administrative region; however, after the second group trial calculation and the third group trial calculation , there is still the problem of excessive differences in the number of administrative districts in each group. Although the results of trial calculation 1 have been improved, there are cases where remote areas and core areas are divided into the same group, which is obviously inconsistent with the current market situation. Therefore, trial calculation 2 and trial calculation Three results are still not used.

Table 5 shows the grouping trial calculation 4. After re-examining the characteristics of the residential leasing market, only the leasing transaction volume and the average rent amount that are most relevant to the dynamics of leasing supply and demand are retained. After deleting the traditional housing transaction supply and demand indicators, the clustering is re-screened and the results of trial calculation 4 are grouped The quantity is relatively evenly distributed, and those with similar market attributes in each administrative region have been gathered, and the reference value is high.

After the trial calculation results of the aforementioned four groups, the present invention finds that because leasing mainly reflects the living needs of the short-term floating population (such as: schooling, employment, etc.), the variables of traditional grouping such as population density, population number, building licenses, licenses, and housing transaction volume ... and so on, are less able to reflect the dynamics of the leasing market. And group test four Cluster analysis is done with the "lease transaction volume" and "average rent amount" of each administrative district in Taichung City as variables, which can more intuitively observe and analyze the leasing transaction volume, average rent amount and regional distribution of administrative districts. Therefore, the present invention selects the rent and the number of transactions as the grouping index as the most suitable result.

(4) Research method: The difference between the good and bad conditions of each lease object will be reflected in the rent price. The rent is higher for the better condition, and on the contrary, the rent is relatively lower for the worse condition; The factors that affect the rental price adjust the adjustment range of the rent increase or decrease, and actually restore the market rent of the leased object to the trial rent of the standard room. Therefore, the comparative method in the real estate valuation method is used to adjust regional and individual factors, and adopt real estate related The practical advice of professionals is to list the main factors that affect the rental price one by one, and to assign grades and set adjustment rates according to the characteristics of each factor.

(5) Definition of standard housing: Since the conditions of each residential leased property are different, if the rental prices are directly compared without adjusting the lease conditions to the same level, there is obviously no basis for comparison on the same basis, and the comparison results have no reference value , so the present invention introduces the concept of "standard housing". By establishing a fixed quality benchmark value as the change of rent evaluation, it can avoid the distortion of rent evaluation results due to the existence of unequal comparison conditions. The standard room conditions of the present invention are described as follows:

(1) Regional factors: including "proximity to schools", "proximity to business circles", "proximity to markets", "proximity to parks and squares", "parking convenience", "proximity to disgusting facilities" and "proximity to Transportation level" and other seven items.

(2) Individual factors: including "community management", "decoration level", "ventilation, lighting, landscape", "housing condition level", "other auxiliary equipment (12 items)", "pattern", "washing space" , "cooking function", "flow table" and "keeping pets" and other ten items.

(3) Other conditions: The starting point of this invention is to obtain the actual rental price, so "pure rent" will be used as the basis for evaluation, which means that it cannot include management fees, water and electricity fees, parking spaces, etc. In addition, legal and limited buildings with independent house numbers are used as one of the evaluation criteria.

(4) Net area: The determination of the area in this invention is based on the "net area" as the unit, that is, the net area is calculated based on the exclusive indoor area (main building plus ancillary buildings), so as to achieve the "living" space The usefulness of assessing the rationality of the rental value. Table 6 defines the scope of net square footage of each type of standard housing in Taichung City.

(6) Definition of standard room rent level interval table: classify "administrative district" and "room type" according to the sample data, and eliminate those with abnormal values, such as filling in the column with "0 yuan" or "100,000 yuan" and other obvious abnormal situations, and For outliers with a difference of more than three standard deviations from the average, calculate the "average (average rent)" and "standard deviation (difference)" of each administrative region and each room type, and analyze the "median", "rent "Minimum value", "Maximum rent" and "Rent range", among which "Median" is used to compare whether the "Average (average rent)" has obvious left or right bias. Then divide the "average (average rent)" and "standard deviation (difference)" by the net area of the standard room type at the same time to obtain the "average rent unit price" and the "standard deviation" of the unit price.

The present invention uses the concept of statistics to assume that when the sample is close to the normal distribution, about 68% of the values will be distributed within one standard deviation from the average value, that is, based on the "average rent unit price", each Add or subtract one "standard deviation" as the "upper limit" and "lower limit" of the rent unit price level range, and round up to single digits to obtain the standard room rent level range of each room type in each administrative region.

Furthermore, due to the fact that the number of samples in some administrative regions may be too small, it is impossible to know the range of the unit price level of the administrative region, or if there is a situation where it is impossible to detect whether the unit price in the range is appropriate, the "average rent" of "grouping" will be used separately. Unit Price" and "Standard Deviation", calculate the standard room rent unit price range for each group and room type, and use it as a reference value for backup checks.

The calculation method using the "group" as the unit is to first obtain the average rent and standard deviation of the effective sample number of the same group, and then divide them by the net square meters of the standard room type to obtain the "average rent unit price" and "Standard Deviation"; then, based on the "Average Unit Rent Price", add or subtract one "Standard Deviation" each as the "upper limit" and "lower limit" of the rent unit price level range, and round up to single digits to obtain the individual The rent level range of the standard room of the room type.

(7) Study various factors that affect the rent price and their classification: use the statistical data in the database to find the main factors that will affect the rent increase or decrease in the leasing market, and assign pros and cons to the subsequent lease items The adjustment basis for the correction of the condition difference with the standard room.

(8) Adjustment rate among various grades of various factors affecting rent prices: In the process of reviewing statistical data, there are "extreme values" or some data are invalid, for example, most of the rent differences in this item fall between +500~+2,000 , the extreme value falls at +5,000, or there is no difference in rent regardless of whether pets can be kept... etc., the obvious outliers are eliminated in the data analysis, and the two methods of "average difference" and "difference mode" are used Obtain the regulation rate separately, and examine its suitability in an all-round way.

Based on the comprehensive comparison of the above two statistical results of "average difference" and "mode of difference", the "average difference" is significantly affected by outliers, so it is not used. Finally, the factors that affect the rent price are determined as " The mode of the difference" is used as the finalized content of the calculation of the rent regulation rate. Due to the volatility of the leasing market, the applicable principle of the adjustment rate obtained in the present invention is limited to a period of 3 years. In a better embodiment, it is expected to re-examine every 3 to 5 years to check whether each adjustment rate is in line with the lease market now condition use. The relevant data such as various factors affecting the rent price, quality grades and corresponding regulation rates used in the present invention are described in detail in the following chapters, and will not be repeated here.

(9) Calculating the reasonable rent of the property to be rented: According to the standard room rent (average rent unit price) corresponding to the room type in the administrative area, and calculating the sum of the adjustment rates of various factors affecting the rent price of the property to be rented, the estimated rent can be obtained The reasonable rent unit price per square meter of the object (yuan/month/square meter). After multiplying the obtained reasonable rent unit price by the net square meter area of the object to be evaluated, the total reasonable rent price of the object to be evaluated (yuan/month) can be obtained ).

After understanding the above-mentioned research framework description of the present invention, please refer to Fig. 2 to Fig. 3 again, the embodiment of the present invention provides a rental housing reasonable rent evaluation system 100, which is installed on the server 1 and can run on the terminal device 2, and the user It is possible to connect to the server 1 through the terminal device 2 to use the rental housing reasonable rent assessment system 100 , wherein a plurality of terminal devices 2 can be connected to the server 1 to use the rental housing reasonable rent assessment system 100 .

Furthermore, the server 1 is a cloud server; the terminal device 2 can be various personal computers, notebook computers, smart mobile devices or tablet computers. It is a network platform; in other possible embodiments, it can be used by programs such as applications (APP) or software.

The system 100 for evaluating the reasonable rent of rental housing in the present invention includes:

A database 10, which stores multiple administrative area information, multiple housing type information, and multiple regulatory factors. Each administrative area information corresponds to each housing type information and has a standard room rent. The standard room rent can be a single value or a range value. Each regulatory factor has Multiple class options and one regulation rate corresponding to each class option; in the embodiment of the present invention, the information of each administrative region and each room type information is obtained from the online rental platform or questionnaire to obtain the number of rooms, the number of square meters and the total number of rented objects. Rents are classified and established in the database 10. The questionnaires can be paper questionnaires or electronic questionnaires. In the embodiment of the present invention, the questionnaires are electronic The standard questionnaire is the main form, and the paper questionnaire is supplemented; the information of each room type is the number of rooms and net area of the subject of the lease, and the rent range of the standard room is analyzed using the concept of statistics. When the sample is close to the normal distribution, there is About 68% of the values will be distributed within one standard deviation from the average value, that is, based on the "average rent unit price", plus or minus one "standard deviation" each as the "upper limit" and "lower limit" of the rent unit price level range .

For example: Take the one-bedroom house type in Xitun District, Taichung City as an example: the average unit price of this house type in this administrative area is 1,232 yuan/square meter, and the standard deviation is 212 yuan/square meter. The lower limit of the rent unit price range for the village/one-bedroom house type is 1,020 yuan/ping (calculation formula: 1,232-212=1,020 yuan), while the upper limit is 1,444 yuan/ping (calculation formula: 1,232+212=1,444 yuan).

Furthermore, the regulatory factors are divided into a regional factor and an individual factor. The regional factor has multiple regional sub-factors, and the regional sub-factors are the degree of proximity to schools, the degree of proximity to business districts, the degree of proximity to markets, the degree of proximity to parks and squares, and the convenience of parking The degree of proximity to disgusting facilities and the degree of proximity to transportation; individual factors have multiple individual sub-factors. Cooking function, counter top and keeping pets.

The class options matched with each regional sub-factor are distinguished according to the distance between the object to be leased and each regional sub-factor; the class options are excellent, fair, common, slightly worse and inferior; the corresponding regulation rate of each class option is 5%, 2.5%, 0%, -2.5%, -5% or -10%, two of them or their combination, the detailed description is as follows:

The regional sub-factors of proximity to schools, proximity to parks and squares, proximity to business circles, parking convenience, proximity to markets, and proximity to transportation are the closer the desired leasing target is, the better, while the regional sub-factors close to disgusting facilities are It is better to lease the target as far away as possible. The above-mentioned regional factors Table 7 shows the distances and regulation rates corresponding to the element class options.

The options of each class associated with each individual sub-factor are distinguished according to the quality, existence, and status of each individual sub-factor of the object to be leased; Yes, No, Yes, No, Exquisite, Simple, Square or slightly worse or a combination thereof; the control rates corresponding to each class option are 10%, 5%, 2.5%, 0%, -2.5%, - 5% or -10% of the two or their combination, the detailed description is as follows: the class options of individual sub-factors such as washing space, cooking function, and countertop are yes or no, and the class of individual sub-factors of the layout The option is Founder or slightly worse, the class option of the individual sub-factor of raising pets is yes or no, the class option of the individual sub-factor of the degree of decoration is yes or no, the class option of the individual sub-factor of community management is yes or no, ventilation The class options of the individual sub-factors of lighting landscape are excellent, good, ordinary, slightly worse, and inferior; the class options of individual sub-factors of housing condition are excellent, fair, ordinary, slightly poor, and inferior. In a possible embodiment, the sub-factors can be evaluated with 12 items of equipment, which are TV, refrigerator, fourth set, Internet, air-conditioning, gas/natural gas, washing machine, bed, bed cabinet, table and chair, sofa, (electric) water heater , you can choose to meet the standard; and the class options of the individual sub-factors of the auxiliary equipment are excellent, fair, ordinary, slightly poor, and inferior. The grades and regulation rates corresponding to the class options of the aforementioned individual sub-factors are shown in Table 8.

It should be noted that the regulation rates corresponding to the above-mentioned regional sub-factors and individual sub-factors are in the embodiment of the present invention, but the present invention does not limit the regulation rates corresponding to each regional sub-factor and each individual sub-factor, and the regulation rates can be based on actual conditions. The situation is adjusted.

An information module 20, which is coupled with the database 10. The information module 20 displays the information of each administrative region, each room type information and each control factor stored in the database 10 on the terminal device 2 in a selected form. The information module 20 It can receive one of the administrative district information and one of the room type information that the user selects through the terminal device 2 according to the object to be leased, and the information module 20 can receive each control factor selected by the user through the terminal device 2 according to the condition of the object to be leased Corresponding to one of the class options.

A processing module 30, which is coupled with the database 10 and the information module 20, the processing module 30 receives the selected room type information, administrative area information and corresponding control factor settings transmitted by the information module 20 class option, the processing module 30 obtains the corresponding standard room rent from the database 10 according to the selected administrative area information and room type information, and the processing module 30 obtains the matching regulation rate from the database 10 according to the class option corresponding to each regulation factor .

Furthermore, the processing module 30 calculates the obtained standard room rent and each adjustment rate through a rent calculation program to generate a reasonable rent, wherein the formula of the rent calculation program is: Y=B*[1+( X ₁ +X ₂ +...+X _n )]; Y is the reasonable rent; B is the rent of the standard room; X _n is the adjustment rate, n=1,2,...,17, n is each of the regional factors Regional subfactors and individual subfactors of individual factors.

Furthermore, the processing module 30 can transmit the calculated reasonable rent to the information module 20, and the information module 20 will display the reasonable rent on the terminal device 2, and the user can judge whether the rent of the object to be leased is based on the displayed reasonable rent. Reasonable.

The present invention provides a method for estimating the reasonable rent of rental housing. The method can be completed through the system 100 for estimating the reasonable rent of the rental housing of the present invention or can be completed with an equivalent system. , but not limited to use the rental housing reasonable rent assessment system 100 to complete the rental housing reasonable rent assessment method of the present invention.

Please refer to Fig. 3 and Fig. 4, the method for evaluating the reasonable rent of rental housing in the present invention includes:

Step S1: Plural administrative area information, multiple room type information, and multiple control factors are displayed on the terminal device 2 in a selection mode, wherein each control factor has multiple levels of options, and each level of options has a corresponding control rate; in the implementation of the present invention In an example, the information module 20 can display the information of each administrative area, each room type, and each control factor of the database 10 on the terminal device 2 in a selected form.

Step S2: Through the information displayed in step S1, select one of the administrative area information and one of the room type information that meet the target of the lease, and receive the selected one of the administrative area information and one of the room type information; in the embodiment of the present invention, use According to the area and the number of rooms of the object to be leased, through The terminal device 2 selects the corresponding administrative area information and room type information, and the information module 20 sends the selected administrative area information and room type information to the processing module 30 .

Step S3: Through the information displayed in step S1, select one of the class options corresponding to the various regulatory factors (that is, the region and individual factors) that meet the target of the lease, and receive the class options corresponding to each of the set regulatory factors; In the embodiment of the present invention, the user selects the class option that meets each control factor through the terminal device 2 according to the condition status of the object to be rented, and the information module 20 will send the class option of each control factor selected to the processing module. Group 30.

Step S4: Obtain the selected administrative area information, room type information and class options corresponding to each control factor through step S2 and step S3, and can obtain the corresponding standard room rent based on the selected administrative area information and room type information, and can be based on each The class option corresponding to the adjustment factor obtains a matching adjustment rate; in the embodiment of the present invention, the processing module 30 obtains the corresponding standard room rent from the database 10 according to the selected administrative area information and room type information, and the processing module 30 obtains the corresponding standard room rent according to the selected The class option of each control factor is selected to obtain the corresponding control rate from the database 10 .

Step S5: Through the standard house rent and the adjustment rate obtained in step S4, the calculation is performed through the rent calculation program to generate a reasonable rent; in the embodiment of the present invention, the processing module 30 can obtain the standard house rent and the adjustment rate through The rent calculation program performs calculations to generate a reasonable rent, and the processing module 30 sends the reasonable rent to the information module 20, and the information module 20 displays it on the terminal device 2.

Please refer to Figure 5, which is a schematic diagram of the system screen in a possible embodiment of the present invention. In this screen, the system can input the basic information of the object to be evaluated, and the content can include the community name and house number of the object to be evaluated. Geographic location-related information, as well as room type and actual net area (square meters), etc., so that the system can substitute the corresponding administrative area information according to the location of the object to be evaluated, and obtain the corresponding standard room rent (average rent unit price) based on the room type information.

Then, as shown in Figure 6, the user then inputs the regional factors and individual factors according to the condition of the object to be evaluated, compares and analyzes it with the standard room, and makes adjustments and corrections according to the difference in conditions to calculate the control rate and Aggregation rate.

Finally, as shown in Figure 7, the system can calculate the reasonable rent unit price per ping of the object to be evaluated by multiplying the standard room rent (average rent unit price) corresponding to the room type in the administrative area by (1+the sum of adjustment rate) (Yuan/month/ping), and then multiply the reasonable rental unit price by the net square area of the object to be appraised to obtain the total reasonable rent price (yuan/month) of the object to be appraised for use The applicant can clearly understand the reasonable rent of the object to be appraised.

In summary, the present invention can achieve the following effects:

The system 100 and its method for evaluating the reasonable rent of rental housing in the present invention can input the location, room type and conditions of the object to be rented, and directly calculate the reasonable rent of the object to be leased by the rent calculation program, and the standard house rent and various control factors of the present invention It is to modify and quantitatively adjust the various conditions of the object to be leased one by one, so as to be close to the real rent market, which can be used as the basis for negotiating the rent price between the two parties of the lease, especially for foreigners who have no basic concept of the local rent market, it can effectively solve the problem Obstacles in rent budget setting to avoid lease disputes. In addition, in the future, when the system 100 for estimating reasonable rents of rental housing in the present invention gradually matures, the rental price index can also be built on this basis to reflect the trajectory and development trend of rental prices.

The above-mentioned embodiments are only used to illustrate the present invention, and are not intended to limit the scope of the present invention. All modifications or changes that do not violate the spirit of the present invention belong to the intended protection category of the present invention.

100: Rational Rent Valuation System for Rental Housing

10: Database

20: Information module

30: Processing modules

Claims (9)

A reasonable rent assessment system for rental housing, which is set up on a server, and users connect to the server through a terminal device to use the reasonable rent assessment system for rental housing; the reasonable rent assessment system for rental housing includes: a database that stores information on multiple administrative regions , multiple room type information and multiple control factors, each administrative area information corresponds to each room type information has a standard room rent, each control factor has multiple class options and a control rate corresponding to each class option, wherein, each administrative area information and The information of each room type is obtained from the online rental platform or the questionnaire to establish the number of rooms, the number of square meters and the total rent of the public leased object in the database after classification; The net area is the exclusive net area for indoor use. The standard room rent is the average calculation of the net area and the total rent of the house type information, and the rent per square meter is used as the basis. Each plus or minus one standard deviation to obtain the rent unit price range; an information module, which is coupled with the database, and the information module uses the selected type to collect the information of each administrative area, each room type information and each control factor Displayed on the terminal device, the information module receives the information of one of the administrative districts and one of the room types that the user selects through the terminal device according to the object to be rented, and the information module receives the condition status of the object to be rented by the user through the terminal device Select one of the class options corresponding to each control factor; and a processing module, which is coupled with the database and the information module, the processing module receives the selected room type information transmitted by the information module, The administrative area information and the class options corresponding to the adjustment factors are set. The processing module obtains the rent corresponding to the standard room from the database according to the administrative area information and the housing type area information. The class option corresponding to a control factor is obtained from the database to meet the control rate, wherein the processing module will obtain the standard room rent and the The adjustment rate is calculated through a rent calculation program to generate a reasonable rent. The reasonable rent evaluation system for rental housing as described in claim 1, wherein the formula of the rent calculation program is: Y=B*[1+(X ₁ +X ₂ +...+X _n )]; Y is the reasonable rent; B is the rent of the standard room; X _n is the regulation rate. The reasonable rent evaluation system for rental housing as described in claim 1 or 2, wherein the control factor is divided into a regional factor and an individual factor, the regional factor has multiple regional sub-factors, and each of the regional sub-factors is close to the school degree, proximity to business circles, proximity to markets, proximity to parks and squares, parking convenience, proximity to disgusting facilities, and proximity to transportation; this individual factor has multiple individual sub-factors, each of which is community management, Decoration level, ventilation and lighting landscape, housing condition level, ancillary equipment, layout, washing and drying space, cooking function, countertop and keeping pets. The reasonable rent evaluation system for rental housing as described in claim item 1, wherein, each of the class options matched by each of the regional sub-factors is distinguished according to the distance between the object to be leased and each of the regional sub-factors; each of the class options is excellent, Good, normal, slightly poor and bad; the adjustment rate corresponding to each class option is 5%, 2.5%, 0%, -2.5%, -5% or -10%, two of them or their combination. The reasonable rent evaluation system for rental housing as described in claim 1, wherein, each class option matched by each individual sub-factor is distinguished according to the quality, presence or absence, and status of each individual sub-factor corresponding to the object to be leased; each class The options are excellent, fair, ordinary, slightly worse, inferior, yes, no, yes, no, exquisite, simple, square or slightly worse or a combination thereof; the control rate corresponding to each class option is 10% , 5%, 2.5%, 0%, -2.5%, -5% or 10% or any combination thereof. A method for estimating reasonable rent for rental housing, which includes: a database storing multiple administrative area information, multiple housing type information, and multiple regulatory factors; an information module coupled to the database, and the information module is displayed on a terminal in a selected form device, its Among them, the information module receives the information of one of the administrative districts and one of the room types that the user selects through the terminal device according to the object to be rented, and the information module receives the user through the terminal device. One of the class options corresponding to a control factor; a processing module is coupled with the database and the information module, and the processing module receives one of the administrative area information and one of the room type information that are selected according to the object to be leased; the processing The module receives and sets one of the class options corresponding to the adjustment factors according to the conditions of the object to be leased; the processing module obtains the rent corresponding to a standard room based on the administrative area information and the room type information, and according to each adjustment factor The corresponding class options have achieved the above-mentioned control rate. Among them, the information of each administrative region and each room type is established by classifying the number of rooms, the number of square meters and the total rent of the public rental targets obtained from the rental online platform or questionnaire. In the database; the said room type information is the number of rooms and the net area of the subject of the lease that have been disclosed, and the net area is the net area dedicated to the interior, and the standard room rent is the net area and net area of the stated room type information The rent per square meter obtained from the average calculation of the total rent, and the rent per square meter as the basis, each plus or minus one standard deviation to obtain the unit price range of rent; The rate is calculated through a rent calculation program to generate a reasonable rent. The reasonable rent evaluation method for rental housing as described in claim 6, wherein the formula of the rent calculation program is: Y=B*[1+(X ₁ +X ₂ +...+X _n )]; Y is the reasonable rent; B is the rent of the standard room; X _n is the regulation rate. The reasonable rent evaluation method for rental housing as described in claim 6, wherein the class options matched by the regional sub-factors are based on the distance between the object to be leased and the regional sub-factors Distinguish; each class option is excellent, still good, common, slightly worse and inferior; the control rate corresponding to each class option is 5%, 2.5%, 0%, -2.5%, -5% or -10% The second or its combination; each class option matched by each individual sub-factor is distinguished according to the quality, presence or absence, and status of each individual sub-factor corresponding to the object to be leased; each class option is excellent, fair, ordinary, Slightly inferior, inferior, yes, no, possible, no, exquisite, simple, square or slightly inferior or a combination thereof; the control rate corresponding to each class option is 10%, 5%, 2.5%, 0% , -2.5%, -5% or -10% or any combination thereof. The reasonable rent evaluation method for rental housing as described in Claim 6, wherein each control factor has multiple class options, and each class option class has a corresponding control rate, and the control factors are divided into a regional factor and an individual factor , the regional factor has multiple regional sub-factors, and the regional sub-factors are the degree of proximity to schools, proximity to business districts, proximity to markets, proximity to parks and squares, parking convenience, proximity to disgusting facilities, and proximity to transportation; This individual factor has multiple individual sub-factors, and each individual sub-factor is community management, decoration level, ventilation and lighting landscape, house condition level, accessory equipment, layout, washing and drying space, cooking function, countertop, and keeping pets.

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