JP3254630B2 - Student Housing Comprehensive Management System - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a comprehensive management system for student-only residences, and more particularly, to building near universities, junior colleges, vocational schools (hereinafter simply referred to as "universities"), or Students to efficiently and economically move students into or out of condominiums, apartments, apartments, boarding houses, etc. (hereinafter simply referred to as "student residences") for built students It relates to a comprehensive management system for housing.

[0002]

2. Description of the Related Art A student residence is built near a university.
It is used for housing or living for students who go to university. Especially for students who go to college away from home,
Securing housing is a serious problem. Recently, the declining birthrate has further accelerated, and it has become difficult to secure student accommodation near so-called famous universities.

[0003] The population of 18-year-olds in 1990 was 2.05 million, and has been decreasing since peaking. The population of 18-year-olds in 2000 was 1.54 million, and in 2008 it was 1.2 million. In addition, the university entrance rate was 36% in 1992, but has increased to 48% in 2000. The number of university enrollees is about 700,000, which is almost the same as the number of applicants. As a result, competition among universities, that is, student competition, has become intense.

[0004] On the other hand, the acquisition of students by the university itself,
As part of a survival strategy, it is inevitable to attract excellent candidates from all over the country. As a result, students are expected to enter a famous university in the city, and it is expected that the university will be further differentiated, and demand for student housing near the famous university will be stimulated.

[0005]

[Problem to be Solved by the Invention] When building a student residence such as an apartment near a university, first find an appropriate land, evaluate the location conditions, and if the location conditions pass, check with the owner. The student housing will be built in consideration of funding conditions. After the student residence is completed, it will be necessary to manage entry and exit efficiently. Nevertheless,
Conventionally, planning and consulting from such a viewpoint have not been attempted to secure student housing.

[0006] In addition, due to the popularization of famous universities and the declining birthrate, the per capita educational investment for parents' children increases, and excellent local examinees tend to enter famous universities in metropolitan areas. Expected to be stronger. Furthermore, the demand for student housing, which is exclusively for students or female college students, and is fully equipped, has been stimulated, and kitchens, baths, toilets, hot water supply facilities, and air-conditioning facilities have been installed in each room. Maintenance) is required. Nevertheless, in the past, there was no inconvenience that the environment of student housing was greatly influenced by the management policy of the owner or that the facilities had to be procured and prepared by themselves without being predicted in the future.

The present invention has been made in view of the above circumstances, and an object of the present invention is to plan a student's residence based on location conditions, an evaluation, a prediction of a occupancy rate, etc .; The purpose of the present invention is to provide a comprehensive management system for student housing, which unifies management of construction, management after completion, and entry / exit of students.

[0008]

SUMMARY OF THE INVENTION According to the present invention, information from a construction plan of a student residence to entry and exit after the construction is stored in a database and managed comprehensively by a computer system, and also through a communication network. The above object of the present invention relates to a comprehensive management system for student dwellings capable of providing information to the user concerned, and provides a property database by inputting location conditions and location evaluation data near universities such as universities, junior colleges, and vocational schools. A property data management means that manages the neighborhood campuses based on the registration information in the property database, and uses the results of the ranking, a property information database handled by another company, and standard rents for students near the university. Occupancy rate prediction means for predicting the occupancy rate of the residence; and the profitability of the student residence using the prediction result of the occupancy rate as an evaluation factor. Means for evaluating profitability; a financing condition set based on funding conditions at the location near the university and a result of the profitability evaluation as a construction judgment element for making a construction judgment relating to whether or not to construct the student residence. Means for determining construction to be performed; information display means for decision display for displaying the result of the construction determination as information for decision making to the owner of the student residence; construction management of the student residence for which construction has been decided; And a housing information management means for managing information relating to entry and departure of student residences by the database, wherein the occupancy rate prediction means performs the ranking process of the neighboring campuses, the required time of each campus property, the property Name, location, along the railway, distance or required time, and the distance or required time on foot, bicycle, bus or JR, private railway Is adapted to evaluate three stages, and, the neighboring campus number of ranking processing ranked of another rank boarding house who in the, number of students, male and female number, next year freshman number of prediction, the property occupancy rate data
A for predicting the occupancy rate of residential students in the vicinity of the university
This is achieved by outputting as data .

[0009] Alternatively, universities such as universities, junior colleges, vocational schools, etc.
Enter the data of the nearby location conditions and location evaluation
Property data management means managed as a database;
Property database and property information database handled by other companies,
Estimate the occupancy rate of student housing near the university from the estimated rent.
Occupancy rate predicting means for measuring; evaluating the occupancy rate prediction result
Profitability assessment to evaluate the profitability of the student residence as an element
And financial means based on the financial conditions at the location near the university
Set financing conditions and evaluation results of profitability
Of construction of the student residence
Construction judgment means for making construction judgment according to the above;
The construction judgment as information for decision making for the owner
Information display means for displaying the result of construction;
Construction management of the student residence specified, students after construction
Information on entering and leaving homes is provided by the database.
Housing information management means to manage the apartment;
List, Recruitment List by University, Recruitment List by Region
Based on the information of the student residence
Means for calculating the number of recruitment targets to be issued;
Information related to entering and leaving the student's residence entered in the total
Analysis of tenant performance based on
List, campus mobile university student list, prospective departure
Generate a list of reasons for moving out and tenant analysis
Occupancy performance analysis means;
You.

[0010]

[0011]

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a construction plan for a student residence,
Recruitment of tenants from consulting to land owners,
Building a comprehensive management system that allows students to live a safe and comfortable student life through building operation / operation management, resident / exit management, and information provision to resident students. I have. For students and parents who are away from home and living alone, what is most desired is a safe student life or comfortable social life.
We have built a management system that considers the safety of tenants, such as a 4-hour full maintenance service and a medical health consultation service. Start planning from marketing surveys of construction sites and local universities, accumulate and analyze data such as the number of students by department, hometown, and whether or not there is a plan to relocate to a university, set rents based on the results, The number of units and the specifications of the building structure are examined, and drawings are actually created. In addition, in the house, there is a place for global information exchange, employment consultation, employment information, etc. via the Internet corresponding to the information society.

First, in the present invention, based on detailed data such as the number of lodgers and the trends of students at each university, it is diagnosed from a comprehensive viewpoint whether or not the land is suitable for student housing. In the initial stage, we will make a rough estimate of the business income and expenditure plan in a short period of time, and ask the owner's wishes, and formulate the best management plan for long-term stable management, funding, income and expenditures, etc.

FIG. 1 schematically shows the general concept of the system of the present invention. First, a project for finding or securing land or land near a university, negotiating with a landowner or an owner of student housing management, etc. If there is processing, location conditions and location evaluation are determined, and if negotiations with the owner in terms of conditions are successful, a decision will be made on student housing construction based on student housing construction management and process management. After the construction of the residence, the student residence will be managed after the completion of the student residence, and the computer will be used to comprehensively manage the student's residence service and retirement during the student residence contract period.

FIG. 2 shows in detail the steps of the site evaluation and the construction plan evaluation. The computer 1 collectively accepts project introductions from landowners, real estate agents, or company sales persons near the university, and uses the keyboard. The condition setting input from the user is registered in the property database 2. It should be noted that the computer 1 is connected to each branch office via a LAN, and can collectively handle condition settings in various places. As the condition setting of the location condition, in the present invention, (1) the name, location,
(2) Names of railways such as JR, private railways and buses, (3) Distance from the nearest station (time required), (4) Effective area per building,
(5) floor area ratio, building coverage ratio, (6) building specifications, structure and facilities, (7) regulations, standards, guidance conditions, etc. of prefectures or municipalities, (8) surrounding environment, etc. Input from etc.

FIG. 3 shows an example of a case assessment sheet used in the present invention, and data is input according to the entries on the case assessment sheet. These input location conditions are registered in the property database 2 and also in the school information database 3. FIG. 4 shows an example of the registration data of the property database 2. The school information registered in the school information database 3 includes the name of the prefecture where the university is located, the name of the university (campus name), the total number of students, the number of students by department, the boarding rate, the number of boarders, the type of national private school, etc. Input according to the university sheet shown in 5. In addition to the property database 2, information on other companies in the same area is registered in the property information database 4.

On the other hand, the rent is registered in the property database 2 together with the location conditions, and the standard rent 10 is referred to by referring to the rent of the property information of another company registered in the property information database 4 and the occupancy rate prediction data. calculate. 6 and 7 show examples of information on properties of other companies. These pieces of information are registered in the property information database 4.

Further, various location evaluation points are inputted based on the school information registered in the school information database 3, and the location judgment 20 is performed according to the algorithm of FIG. Location judgment 20
(1) Input social infrastructure score (Step S1), (2) Input transportation score (Step S2), (3) Input nearby campus score (Step S3), (4) Input of student population score (step S4),
(5) Input of boarding rate score (Step S5), (6) Input of neighboring environment score (Step S6), (7) Input of neighboring price score (Step S7), and the location of the location is calculated from the total score of these input scores. Pass / Fail is determined (Steps S8, S
9). If the location judgment 20 is passed based on the total score, the occupancy rate in the near future such as this year or next year is predicted with reference to the reference rent 10 calculated from the property database 2 and the property information database 4. In this case, decreasing the rent will increase the occupancy rate, and increasing the rent will decrease the occupancy rate. Furthermore, in the present invention, taking into account information such as the movement of campuses such as universities and the transition to a four-year college at a junior college, the trend prediction of the occupancy rate from a long-term perspective, for example, five years later, ten years later, etc. Do it.

FIG. 9 shows an algorithm for estimating the occupancy rate, and ranks nearby campuses on the basis of the above-described condition setting such as the property name and the name of the wayside and the registered data in the school information database 3 (step S10). I do.
The ranking process is performed by entering the required time of the property by campus, property name and location, railroad name (JR, private railway, bus), distance (time required), and campus name. , The required time zone of 20 minutes is calculated as B rank, and the required time zone of 30 minutes is calculated as C rank. The A rank is within 10 minutes on foot even in A rank, the AA rank is within 10 minutes by bicycle, the A, the bus, JR and private railway are A rank. The BBB rank is within 20 minutes on foot even in B rank.
Bicycle less than 20 minutes BB rank, bus, JR, private railway B
The C rank is the CCC rank within 30 minutes on foot, the CC rank within 30 minutes by bicycle, and the C rank for buses, JR, and private railways. Apart from this ranking, the campus data of the number of students, the number of men and women, the number of lodgers, and the number of occupants of the existing property by campus are extracted (step S20), and the neighborhood is obtained for each rank (AAA to C) obtained in step S10. Enter the number of students on campus, the number of men and women, the number of boarders, and the number of existing tenants (Step S21). Print out these data (Step S22). The prediction of the number of new students acquired, the base of the occupancy rate of the property, and the basis of the number of new residents of the partner university are obtained (step S23), and the occupancy rate is predicted. The occupancy rate is estimated based on the number of newly acquired tenants at the affiliated university / (the number of rooms of newly built new buildings + the number of fourth graders of existing buildings).

FIG. 10 shows an algorithm for obtaining the standard rent 10 from the registered data of the property database 2 and the property information database 4. By extracting the property near the case from the property database 2 (step S30), the station near the same station ( From JR, private railway, bus) and existing property rent list, for example, maximum rent ZZZ yen within 3 years, minimum rent zzz yen within 3 years, maximum rent YYY yen within 7 years, 7 years
A minimum rent yyy yen within a year is required. In addition, by extracting nearby competitors' properties from the property information database 4 handled by other companies (step S31), for example, the maximum rent UUU yen within 3 years from the same station, both stations (JR, private railway, bus) and one-room type along the line Minimum rent uuu yen within 3 years, maximum rent VVV yen within 5 years, minimum rent vvv within 5 years
A circle is required. Estimated rent (UUU, ZZZ, YY)
Y, VVV, zzz, yyy, uuu, vvv) 10 are determined and displayed or printed on the screen of the computer 1.

The estimated rent (i
= 1, 2, ..., n), the profitability is evaluated according to the flow shown in FIG. That is, first, the standard rent (i
= 1, 2,..., N) (step S50),
Profitability is evaluated in ascending order of rent (i = 1) (step S51). Next, one of the funding conditions, income prediction X
Is calculated by calculating X = reference rent × number of rooms × occupancy rate (step S52). Then, a cost Y such as a design cost, a construction cost, a housing equipment cost, a management operation cost, a maintenance cost, etc. is calculated (step S53),
Profitability is calculated as A, B,
Evaluation is made with three ranks of C (step S54). Such an operation is repeated until i = n (step S55,
S56), the profitability evaluation is determined (step S5).
7).

On the other hand, the construction of a student residence requires a large amount of funds, and the algorithm (simulation prediction 30) for determining whether or not to construct is shown in FIG. First, in the present invention, financing conditions for building by the owner are as follows: (1) cash on hand, (2) land loan value, (3) bank loan simulation, (4)
Design cost, construction cost, (5) housing equipment cost,
(6) company-specific specifications, (7) management and operation costs, (8)
The maintenance cost, (9) income prediction and the like are input (step S40). Next, the estimated rent 10
Is input (step S41). A construction judgment evaluation point is further input with respect to the input financing conditions and reference rent 10 (step S42). The construction judgment evaluation points are (1) construction cost evaluation, (2) finance evaluation, (3) rent income evaluation, (4) tenant income evaluation, (5) parking lot income evaluation, (6) profitable branch point evaluation. ,
(7) Enter profitability evaluation. In response to the input of these evaluation points, whether or not the construction condition is passed is output (step S43), and the owner determines the intention of the construction or the stop by seeing the result.

When the student residence is constructed, the building is registered in the computer 1 in accordance with the description on the building registration sheet shown in FIG. 13, and the owner is registered in accordance with the owner registration sheet shown in FIG.

FIG. 15 shows a management system when a student enters a student residence and after entering the residence. In the existing building, a newly constructed building, or a renovated building, there is an inquiry of a resident every month according to a vacancy schedule list. (For example, October, November, 12
Monthly), these inquiries are totaled and input to the computer 1. Enter / leave database 5 in computer 1
Is connected, and the total information is input to the occupancy / departure database 5, whereby the vacancy of the student residence is predicted (step S50), and the occupancy results are analyzed (step S60). The vacancy forecast calculates the target number of recruitment from the list of vacancy schedules by residence, the list of recruitment schedules by university, and the list of recruitment schedules by region. The contents of the target number of recruitment are as follows: presentation of the target number to partner universities, hearing of the request of partner universities, approach and promotion to each university, holding of reservation reception meeting, scheduled announcement of pass (recommendation, primary, secondary, regional examination), These include advertisements for successful applicants and advertisements for each residence. In addition, the analysis of occupancy results is based on the list of resident high schools by prefecture,
Advertisement sales from campus-moving university student list to prospective campus movers, check for problems by condominium from prospective move-out / reason list, select resident analysis / research reason list to select advertising media and review specifications Do.

In the present invention, as shown in FIG. 16, the computer 1 is connected to the Internet 40 and the rooms (51, 52,...
, 62) are connected to the Internet 40 via the server 41. For this reason, the management of the student who is resident in the student residence becomes easy, and the notification such as leaving can be made online in real time. Also, since the Internet 40 is also connected to the personal computers 71, 72,... Of general homes, companies, business offices, etc.,
This can be performed via the Internet 40 in accordance with the desired university (accepted university).

FIGS. 17 to 20 show an example of the screen of each part of the present invention. 17 and 18 show an example of the simulation prediction 30 in FIG. 2, and FIG. 19 shows the prediction result of the simulation. FIG. 20 is a screen diagram showing an example of the bank loan simulation in FIG.

[0026]

As described above, according to the student housing comprehensive management system of the present invention, from student housing planning to land processing, financing, etc., construction management, construction decision,
It can manage everything from house management and efficient student entry / exit to future vacancy forecasting and occupancy analysis, making it extremely convenient for students, landowners and owners. is there. In addition, since the information system is connected to the Internet, efficient and economical management of student housing can be realized.

[Brief description of the drawings]

FIG. 1 is a schematic diagram showing the general concept of the system of the present invention.

FIG. 2 is a flowchart showing an example of processing up to an owner decision according to the system of the present invention.

FIG. 3 is a diagram showing an example of a case assessment sheet used in the present invention.

FIG. 4 is a diagram showing an example of registration data of a property database.

FIG. 5 is a diagram showing an example of a college sheet for registering in a property information database.

FIG. 6 is a diagram showing an example of information on properties of other companies registered in the property information database.

FIG. 7 is a diagram showing an example of information on other company's properties registered in the property information database.

FIG. 8 is a flowchart illustrating a processing example of a location determination according to the present invention.

FIG. 9 is a flowchart illustrating an example of a occupancy rate prediction process according to the present invention.

FIG. 10 is a flowchart showing an example of a calculation process of a standard rent according to the present invention.

FIG. 11 is a flowchart showing an algorithm of profitability evaluation.

FIG. 12 is a flowchart illustrating an example of an algorithm for building a student residence.

FIG. 13 is a diagram illustrating an example of a building registration sheet.

FIG. 14 is a diagram illustrating an example of an owner registration sheet.

FIG. 15 is a flowchart for explaining prediction of vacancy and analysis of actual occupancy of a student residence according to the present invention.

FIG. 16 is a block diagram showing a management system of the present invention.

FIG. 17 is a screen diagram showing an example of a simulation prediction.

FIG. 18 is a screen diagram illustrating an example of a simulation prediction.

FIG. 19 is a screen view showing a result of simulation prediction.

FIG. 20 is a screen diagram showing an example of a bank loan simulation.

[Explanation of symbols]

 Reference Signs List 1 computer 2 property database 3 school information database 4 property information database 5 entering / leaving database 10 guide rent 20 location judgment processing 30 simulation prediction 40 internet

──────────────────────────────────────────────────続 き Continuation of the front page (72) Inventor Mitsugu Okamoto Student Information Center, Shichijo Shimojo, Karasuma-dori, Kyoto-shi, Kyoto (56) References JP-A-5-282280 (JP, A) JP JP-A-11-272745 (JP, A) JP-A-5-89211 (JP, A) JP-A-7-129874 (JP, A) JP-A-5-282278 (JP, A) JP-A-10-187809 (JP) , A) JP-A-6-68096 (JP, A) (58) Fields investigated (Int. Cl. ⁷ , DB name) G06F 17/60 G06F 17/30 G06F 19/00 E04G 21/14

Claims (2)

(57) [Claims] [Claim 1] From a construction plan of a student residence to a tenant after construction,
A student housing comprehensive management system capable of providing information to the user through a communication network while providing a database of information up to the time of leaving and managing the information comprehensively by a computer system; A property data management means for inputting location conditions and location evaluation data near a university such as a vocational school and managing it as a property database; and performing a ranking process of a nearby campus based on the registered information in the property database to perform the ranking. Occupancy rate estimating means for estimating the occupancy rate of student housing in the vicinity of the university from the results of the above and the property information database handled by other companies, and the standard rent; and the profitability of the student accommodation using the occupancy rate prediction result as an evaluation factor. Means for assessing profitability;
Construction judgment means for making a construction judgment concerning whether to construct the student residence using the financing conditions set based on the funding conditions at the location near the university and the evaluation result of the profitability as construction judgment factors; Decision-making information display means for displaying the result of the construction judgment as decision-making information for the owner of the house; construction management of the student house whose construction has been decided; entry and exit of the student house after construction; Housing information management means for managing information related to the house by the database; and the occupancy rate prediction means,
The ranking processing of the neighboring campuses is performed based on the required time of the property by campus, the property name, the location, the wayside, the distance or the required time, and the distance or the required time is on foot, bicycle, bus or JR, The number of lodgers by rank is evaluated by a private railway and is ranked in the ranking process of the neighboring campuses,
Number of students, male and female number, next year freshman number of prediction, de the property occupancy rate
Data to predict the occupancy rate of student housing near the university .
The student residence comprehensive management system, which is designed to output as data for students. 2. Construction of a student residence, moving in after construction,
A student residence comprehensive management system capable of providing information to the user via a communication network while providing a database of information up to the time of leaving and managing the information comprehensively by a computer system; Property data management means for inputting location conditions and location evaluation data near colleges such as vocational schools and managing them as a property database; and for the students near the university based on the property database, property information database handled by other companies, and standard rent Occupancy rate prediction means for estimating the occupancy rate of the residence; profitability evaluation means for evaluating the profitability of the student residence using the occupancy rate prediction result as an evaluation factor; and funding conditions at a location near the university Use the set financing conditions and the results of the profitability evaluation as construction judgment factors for the construction of the student residence. And construction judgment means performing the construction judgment that;
Decision-making information display means for displaying the result of the construction decision as decision-making information for the owner of the student residence; construction management of the student residence whose construction has been decided, entry of the student residence after construction , and housing information management means for managing information relating to Shisakyo by the database; Man
List of vacancy schedules by application, list of recruitment schedules by university, region
Enter the student residence based on the information on the separate recruitment list
Recruitment target number calculation means for calculating the recruitment target number;
Entering the student housing entered in the retirement database
Analyze the occupancy results based on the information related to occupancy
Of high school students from different prefectures, campus mobile university students
List, reason for moving out, list of tenants analysis
And a resident performance analysis means for generating a free list .