Local sightseeing platform service system using local pass

Abstract

The present invention relates to a local sightseeing platform service system and, more specifically, to a local sightseeing platform service system using a local pass which analyzes and recommends a sightseeing area and a sightseeing course according to user information, enables users to purchase pass tickets, usable at affiliated businesses on the recommended sightseeing course, at prices lower than product prices, thereby ensuring visits from tourists to the local affiliated businesses and encouraging the tourists to purchase the pass tickets. In particular, the local affiliated businesses can enhance promotional reach at only a small cost by offering discounted products without incurring any additional advertising and marketing expenses. This local sightseeing platform service system using a local pass not only aids in the boosting of actual sales but also improves operational profits and system stability.

Description

Local tourism platform service system using local pass

[0001] The present invention relates to a local tourism platform service system, and more particularly, to a local tourism platform service system that analyzes and recommends tourist areas and tourist courses based on user information, and allows tourists to purchase passes that can be used at affiliated businesses on the recommended courses at a price lower than the product price, thereby ensuring visits by tourists to local affiliated businesses and inducing tourists to purchase passes. In particular, local affiliated businesses can increase the promotional effect of businesses and help increase actual sales with only a small cost of providing discounts on products without separate advertising or promotional expenses, and also improve the operating profit and stability of the system.

[0002] International travel is now widespread across the globe, with no borders, and with the recent easing of the COVID-19 situation, the previously depressed travel industry is rapidly recovering.

[0003] Additionally, as the Internet becomes more widespread and various tourism information can be easily accessed online, the recent tourism trend is changing from group tours organized by tour operators to individual free travel.

[0004] However, with the proliferation of online tourism information and the inability to guarantee its reliability, tourists are having difficulty obtaining accurate information for independent travel.

[0005] Additionally, as the number of large corporations spending enormous amounts of money on online advertising increases and the information available online includes a lot of advertising information from these large corporations, it is becoming increasingly difficult to obtain accurate tourism information, and it is becoming increasingly difficult to convey information from small tourist destinations to tourists.

[0006] Accordingly, although local products are being created and provided directly as tourism products as in the patent document below, even in this case, there is a problem that it is not possible to increase satisfaction by accommodating the diverse tendencies of users, and it is difficult to induce purchases from users due to the nature of group travel.

[0007] (Patent Document) Patent Publication No. 10-2019-0072799 (Published on June 26, 2019) "Travel Information Service Provision System and Provision Method"

[0008] The present invention has been devised to solve the above problems.

[0009] The present invention analyzes and recommends tourist areas and tourist courses based on user information, and allows tourists to purchase passes that can be used at affiliated businesses on the recommended courses at a lower price than the product price, thereby ensuring that tourists visit local affiliated businesses and inducing tourists to purchase passes. In particular, local affiliated businesses can increase the promotional effect of businesses and help increase actual sales with only a small cost of providing discounts on products without separate advertising or promotion costs, and the purpose of the present invention is to provide a local tourism platform service system that also improves the operating profit and stability of the system.

[0010] In order to achieve the above-mentioned purpose, the present invention is implemented by an embodiment having the following configuration.

[0011] According to one embodiment of the present invention, a local tourism platform service system according to the present invention includes: a user terminal carried by a user who wishes to tour and inputs user information; a management terminal for registering tourism-related information; and a management server for analyzing visit information and preferences of tourists based on information input by the user to recommend tourist areas and tourist courses and allowing payment for passes that can be used at affiliated businesses around the recommended courses; wherein the management server includes a region recommendation unit for recommending areas to tour in a tourist destination based on user information, a course recommendation unit for generating and recommending a plurality of tourist courses in the recommended area based on user information and conditions, and a pass purchase unit for outputting passes that can be used to purchase products of affiliated businesses on each recommended tourist course and allowing payment to be made, wherein the pass purchase unit is characterized in that the price of the pass is set lower than the price of products that can be purchased at the affiliated businesses using the pass.

[0012] According to another embodiment of the present invention, in the local tourism platform service system according to the present invention, the pass purchase unit is characterized by including a course information loading module that retrieves recommended course information by the course recommendation unit, a price setting module that sets a pass price for each recommended course, a purchase rate setting module that sets a purchase price ratio for affiliated company products that can be purchased with the pass, a purchase price calculation module that calculates a purchaseable amount with the pass according to the set purchase rate, an affiliated company display module that displays a list and prices of affiliated company products that can be purchased according to the calculated purchase price, a recommended course selection module that allows a user to select one of the recommended courses, and a pass payment module that allows payment of a pass for the selected recommended course.

[0013] According to another embodiment of the present invention, in the local tourism platform service system according to the present invention, the pass purchase unit is configured to purchase one or more passes that can be used for a set period of time, and the purchase rate setting module includes a standard purchase rate storage module that stores a standard purchase rate for each recommended course, a pass number storage module that stores information on the number of passes that a user wishes to purchase, a rental information loading module that retrieves information on the rental period of a means of transportation provided through the system, and a purchase rate adjustment module that adjusts the purchase rate according to the number of passes purchased and the rental period of the means of transportation.

[0014] According to another embodiment of the present invention, in the local tourism platform service system according to the present invention, the pass purchase unit includes a business information sorting module that sorts and displays information on affiliated businesses around a selected recommended course, a purchase product display module that displays products and prices of each business that can be purchased with the pass, and a purchase product selection module that allows a user to select a product of an affiliated business, and the pass payment module is characterized in that it allows payment for a purchase product of a selected affiliated business to be made within the range of the pass price.

[0015] According to another embodiment of the present invention, in the local tourism platform service system according to the present invention, the management server includes a pass analysis unit that analyzes the use of a pass, and the pass analysis unit includes a visit information collection module that collects visit information of pass purchasers to affiliated businesses, a visit index calculation module that calculates a visit index indicating the degree of visitation based on the ratio of the number of visits to the affiliated businesses compared to the number of times the recommended course is selected for the affiliated businesses of the selected recommended course, a stay information collection module that collects information on the time that pass purchasers stay at the affiliated businesses, a stay index calculation module that calculates a stay index based on the ratio of the stay time of a specific pass purchaser to the average stay time of other purchasers at the affiliated businesses, a review information collection module that collects review information of purchasers on the affiliated businesses, a satisfaction index calculation module that analyzes the review information and calculates a satisfaction index based on the degree of positivity, an evaluation index calculation module that calculates an evaluation index for the affiliated businesses by adding the visit index, the stay index, and the satisfaction index, and a system for calculating the evaluation index of the affiliated businesses in a specific tourist area. It is characterized by including a ranking calculation module that calculates a ranking, and a purchase rate reflection module that adjusts a purchase rate set by the purchase rate setting module according to the calculated ranking.

[0016] The present invention can obtain the following effects through the combination and use of the configuration described above and the following examples.

[0017] The present invention analyzes and recommends tourist areas and tourist courses based on user information, and allows tourists to purchase passes that can be used at affiliated businesses on the recommended courses at a lower price than the product price, thereby ensuring that tourists visit local affiliated businesses and inducing tourists to purchase passes. In particular, local affiliated businesses can increase the promotional effect of businesses and help increase actual sales with just a small cost of providing discounts on products without separate advertising or promotion costs, and also has the effect of improving the operating profit and stability of the system.

[0018] Figure 1 is a configuration diagram of a local tourism platform service system using a local pass according to one embodiment of the present invention.

[0019] Figure 2 is a block diagram showing the configuration of the management server of Figure 1.

[0020] Figure 3 is a block diagram showing the configuration of the regional recommendation section of Figure 2.

[0021] Figure 4 is a block diagram showing the configuration of the preference analysis module of Figure 3.

[0022] Figure 5 is a block diagram showing the configuration of the course recommendation section of Figure 2.

[0023] Figure 6 is a block diagram showing the configuration of the preference condition setting module of Figure 5.

[0024] Figure 7 is a block diagram showing the configuration of the course range setting module of Figure 5.

[0025] Figure 8 is a block diagram showing the configuration of the recommended course analysis module of Figure 5.

[0026] Figure 9 is a block diagram showing the configuration of the time index calculation module of Figure 8.

[0027] Figure 10 is a block diagram showing the configuration of the cost index calculation module of Figure 8.

[0028] Figure 11 is a block diagram showing the configuration of the movement recommendation unit of Figure 2.

[0029] Figure 12 is a block diagram showing the configuration of the movement area recommendation module of Figure 11.

[0030] Figure 13 is a block diagram showing the configuration of the pass purchase section of Figure 2.

[0031] Figure 14 is a block diagram showing the configuration of the discount rate setting module of Figure 13.

[0032] Figure 15 is a block diagram showing the configuration of the pass analysis unit of Figure 2.

[0033] *Explanation of symbols used in drawings

[0034] 1: Management Server 11: Regional Recommendation Department

[0035] 12: Course Recommendation Section 13: Travel Recommendation Section

[0036] 14: Pass Purchase Department 15: Pass Analysis Department

[0037] 16: Rental Management Department 2: User Terminal

[0038] 3: Administrator terminal

[0039] Hereinafter, preferred embodiments of a local tourism platform service system using a local pass according to the present invention will be described in detail with reference to the attached drawings. In the following description of the present invention, if a detailed description of a known function or configuration is determined to unnecessarily obscure the gist of the present invention, the detailed description will be omitted. Throughout the specification, when a part is said to "include" a certain component, this does not mean that other components are excluded, but rather that other components can be further included, unless specifically stated otherwise. In addition, terms such as "... part" and "... module" described in the specification mean a unit that processes at least one function or operation, and this can be implemented by hardware, software, or a combination of hardware and software.

[0040]

[0041] A local tourism platform service system using a local pass according to one embodiment of the present invention will be described with reference to FIGS. 1 to 15. The local tourism platform service includes a user terminal (2) that a user who wishes to travel carries and inputs user information; an administrator terminal (3) that registers tourism-related information; and a management server (1) that analyzes the visit information and preferences of tourists based on the information input by the user, recommends tourist areas and tourist courses, and allows payment for a pass that can be used at an affiliated business near the recommended course.

[0042] The recent tourism market is developing around the free and independent travel of tourists. In particular, there is a growing trend of tourists who want to wander the alleys of tourist destinations, visit local businesses, and travel on their own itinerary.

[0043] However, as previously discussed in the background technology, there is a lot of advertising information from large companies online, making it difficult to obtain information from local companies, making it difficult to plan a tourist course.

[0044] In addition, although many platforms providing tourism information online are emerging, they provide information centered on large companies regardless of the characteristics of the users, failing to provide high-quality local business information tailored to the users' characteristics. Moreover, they cannot guarantee that users will visit the local businesses provided, failing to contribute at all to improving the profitability and stable operation of local businesses.

[0045] Accordingly, the present invention recommends tourist areas and tourist courses tailored to the user's characteristics, and provides information on local businesses around the recommended tourist courses, along with the ability to purchase passes usable at local businesses at a low price, thereby enabling the provision of tourist courses tailored to the user's characteristics and accurate information on local businesses. In particular, by guaranteeing visits to local businesses, it is possible to increase the profitability and stable operation of local businesses.

[0046] Furthermore, this system can provide local businesses with an online promotional platform at a discounted price, guaranteeing tourist visits and achieving high-impact advertising at a low cost. Furthermore, the system's operators can increase profitability through pass sales and eliminate any settlement structure with local businesses, eliminating operational complexity and ensuring stable operation.

[0047] The above management server (1) is configured to analyze the visit information and preferences of tourists based on information input by users, recommend tourist areas and tourist courses, and enable payment of passes that can be used at affiliated businesses around the recommended courses. The management server (1) may include a region recommendation unit (11), a course recommendation unit (12), a movement recommendation unit (13), a pass purchase unit (14), a pass analysis unit (15), and a rental management unit (16).

[0048] The above-mentioned regional recommendation unit (11) is configured to recommend tourist areas of a tourist destination, and recommends tourist areas among the multiple tourist areas included in the tourist destination according to the user's schedule. For example, the above-mentioned regional recommendation unit (11) may recommend tourist areas such as Seongsan, Jocheon, Namwon, and Aewol in Jeju Island, which is a tourist destination. The above-mentioned regional recommendation unit (11) may analyze visit information and preference information according to the user's gender and age to recommend tourist areas, and may make recommendations according to the user's tourist schedule. To this end, the above-mentioned regional recommendation unit (111) may include a visit information collection module (111), a gender information extraction module (112), an age information extraction module (113), a schedule information extraction module (114), a visit frequency calculation module (115), a preference analysis module (116), an evaluation index calculation module (117), a user information input module (118), and a regional information provision module (119).

[0049] The above visit information collection module (111) is configured to collect visit information on users' tourist areas, and can collect visit information on users registered in this system, and in addition, can collect information on tourists collected from external public institutions, etc.

[0050] The above gender information extraction module (112) is configured to extract the user's gender information from the collected visit information, and can extract gender information by distinguishing between male and female.

[0051] The above age information extraction module (113) is configured to extract the user's age information from the collected visit information, and can classify the extracted age information by dividing it into 10-year units from the 10s to the 70s or older.

[0052] The above schedule information extraction module (114) is configured to extract the user's tour schedule information from the collected visit information, and extracts information on the number of days of tour.

[0053] The above visit frequency calculation module (115) is configured to calculate the visit frequency for each tourist area, and calculates the visit frequency for each tourist area according to gender, age group, and visit schedule. For example, the above visit frequency calculation module (115) can collect the number of times users of the same gender, age group, and visit schedule visit each tourist area, and calculate the visit frequency as the ratio of each tourist area to the number of visits by all collected users.

[0054] The above preference analysis module (116) is configured to analyze preferences for each tourist destination. It can collect reviews and evaluation information for each tourist destination and analyze preferences based on gender and age. To this end, the preference analysis module (116) may include a preference information collection module (116a), an emotional information analysis module (116b), and a preference index calculation module (116c).

[0055] The above preference information collection module (116a) is configured to collect preference information about tourist areas, and can collect preference information not only through review information and evaluation information registered through this system, but also through external SNS, etc.

[0056] The above emotional information analysis module (116b) is configured to analyze emotions for collected preference information, and can analyze emotions for positive or negative through various text and emotional analysis methods.

[0057] The above preference index calculation module (116c) is configured to calculate a preference index indicating the degree of preference for each tourist area, and can calculate the preference index based on the ratio of positive preference information to the total preference information of users of the same gender and age by distinguishing the gender and age of the users.

[0058] The above evaluation index calculation module (117) is configured to calculate an evaluation index indicating the evaluation level of each tourist area. The evaluation index can be calculated by adding the frequency of visits and preference index, and the evaluation index of each tourist area can be calculated by dividing by the same gender, age group, and schedule.

[0059] The above user information input module (118) is configured to input information of a user who wishes to receive recommendations for a tourist area, and can receive information regarding the user's gender, age, and tourist schedule.

[0060] The above-mentioned local information provision module (119) is configured to recommend and provide tourist destinations to users, and can recommend tourist destinations according to the user's schedule. The above-mentioned local information provision module (119) can recommend one tourist destination per day, and can recommend and provide a number of tourist destinations that fit the schedule in order of highest evaluation index based on the same gender, age group, and schedule as the user.

[0061] The above course recommendation unit (12) is configured to recommend a tourist course in each tourist area, and can provide the user with multiple recommended courses according to the user's preferred conditions and set range. The course recommendation unit (12) can evaluate each recommended course, and can provide the evaluated information to the user so that the user can select one of the recommended courses. To this end, the course recommendation unit (12) can include a region setting module (121), a preference condition setting module (122), a course range setting module (123), a recommended course generation module (124), a recommended course analysis module (125), and a recommended course selection module (126).

[0062] The above-mentioned regional setting module (121) is configured to set a region for which a tourist course is to be recommended, and can select one of the tourist regions recommended by the above-mentioned regional recommendation unit (11) to recommend a tourist course for that region. For example, if a tourist region such as Seongsan, Namwon, or Aewol is set by the user's selection, the above-mentioned regional setting module (121) can recommend multiple tourist courses within that tourist region.

[0063] The above preferred condition setting module (122) is configured to set the conditions of tourism preferred by the user, and may include a food type selection module (122a), a leisure type selection module (122b), a tourist attraction type selection module (122c), and a transportation method selection module (122d) so that the type of food, the type of enjoyment, the type of tourist attraction, and the type of transportation can be set, and a plurality of preferred conditions can be set according to the user's selection. For example, the food type selection module (122a) can select food types such as Korean food, Western food, and Chinese food, and beverage types such as coffee, tea, and alcohol, and the leisure type selection module (122b) can select preferred types of enjoyment such as water experience, mountain climbing, and crafting, and the tourist attraction type selection module (122c) can select types of famous tourist attractions such as historic sites, mountains, rivers, and the sea, and the transportation method selection module (122d) can select types of preferred transportation such as cars, bicycles, kickboards, and walking.

[0064] The above course range setting module (123) is configured to set the range of a recommended tourist course, and can set limits on the time, travel distance, cost, and fatigue level of the recommended tourist course by the time range setting module (123a), the movement range setting module (123b), the cost range setting module (123c), and the fatigue range setting module (123d), and can be set by selection by the user.

[0065] The above time range setting module (123a) is configured to set a time range for a recommended tourist course. For example, if a tourist course is recommended on a daily basis, the time range required to tour along the tourist course within a day can be set by the user's selection.

[0066] The above movement range setting module (123b) is configured to set the movement range for a tourist course, and can set a limit range for the movement distance.

[0067] The above cost range setting module (123c) is configured to set the cost range required for touring along a tourist course, and can set the cost consumed for touring restaurants, cafes, tourist experiences, public attractions, etc. included in each tourist course in advance, calculate the cost of the tourist course by adding up the set costs, and allow the user to select the range for the added cost.

[0068] The above fatigue range setting module (123d) is configured to set the fatigue level for each tourist course. For example, the fatigue level can be set in stages of 1 to 10, and the fatigue level according to age group, gender, and health level can be set as a numerical value. The above fatigue range setting module (123d) can preset the fatigue levels of restaurants, cafes, tourist experiences, public attractions, etc. included in the tourist course, and can include each content in the tourist course according to the fatigue level set by the user. At this time, the tourist course can include contents that do not exceed the fatigue level set by the user.

[0069] The above recommended course creation module (124) is a recommended configuration that creates a tourist course that meets the user's preferences and setting range, and can create a tourist course that includes contents such as restaurants, cafes, tourist attractions, and things to do that meet the user's preferences, and can create multiple tourist courses on a daily basis including a set number of contents. At this time, the recommended course creation module (124) can create a tourist course by combining contents so that the tourist course in which the contents are combined satisfies the time, travel distance, cost, and fatigue range set by the course range setting module (123), and minimizes the travel distance between contents included in the tourist course.

[0070] The above-described recommended course analysis module (125) is configured to analyze each of the multiple tourist courses generated by the recommended course generation module (124), and to evaluate each tourist course based on the degree of visitation, degree of preference, degree of time required, and degree of cost included in each tourist course, and to provide the evaluation to the user. To this end, the above-described recommended course analysis module (125) may include a visit index calculation module (125a), a preference index calculation module (125b), a time index calculation module (125c), a cost index calculation module (125d), an importance index setting module (125e), and a course index provision module (125f).

[0071] The above visit index calculation module (125a) is configured to calculate a visit index indicating the degree of visitation for each tourist course according to the degree of visitation of contents included in each tourist course, and calculates the ratio of the number of visits to each content included in the tourist course compared to the number of visits to contents of the same category in the same tourist area, and calculates the visit index according to the average value of the ratio of the number of visits to each content included in the tourist course. At this time, the visit index calculation module (125a) may collect tourism information data of an external public institution or location information, visit information, etc. of users registered in this system to calculate the number of visits and calculate the visit index accordingly.

[0072] The above preference index calculation module (125b) is configured to calculate a preference index indicating the preference of a tourism course according to the preference of the contents included in each tourism course, and can calculate the preference index according to the average value of the preference of each content. The above preference index calculation module (125b) can collect review information of each tourism content and analyze the preference, and can analyze the positive preference by sentiment analysis of text, etc. as well as reviews registered through this system, and can calculate the preference of each content according to the ratio of the positive preference to the total number of collected reviews, and can calculate the preference index according to the average value of the preference for the contents included in the tourism course.

[0073] The above time index calculation module (125c) is configured to calculate a time index indicating the degree of travel time required for sightseeing according to a recommended tourism course, and can calculate the time index according to the ratio of travel time to experience time of each content. Therefore, a higher time index means a higher ratio of travel time to experience time, and this results in lowering the quality of tourism due to inefficient use of time. Therefore, the time index calculation module (125c) can evaluate whether an efficient tourism course is provided. To this end, the time index calculation module (125c) may include a time required collection module (125c-1), a movement time collection module (125c-2), and a time index calculation module (125c-3), and collects time information required to experience each content by the time required collection module (125c-1) based on information stored for each content, collects movement time information between contents by the movement time collection module (125c-2), and calculates a time index by dividing the movement time by the movement time required by the time index calculation module (125c-3).

[0074] The above cost index calculation module (125d) is configured to calculate a cost index representing the level of cost required to experience each tourism course, and can calculate a cost index by comparing the costs of each tourism course. To this end, the cost index calculation module (125d) may include a cost information collection module (125d-1), a cost aggregation module (125d-2), and a cost index calculation module (125d-3).

[0075] The above cost information collection module (125d-1) is configured to collect cost information of a tourism course, and retrieves and collects pre-saved cost information for each content included in the tourism course.

[0076] The above cost summation module (125d-2) is configured to sum up the cost information of contents included in a tourism course, and calculates the cost consumed in each recommended tourism course through the summation of cost information.

[0077] The above cost index calculation module (125d-3) is configured to calculate the cost index of each tourist course, calculate the average value of the cost information of each tourist course generated by the above recommended course generation module (124), and calculate the cost index according to the ratio of the cost of each tourist course to the calculated average value. Therefore, a higher cost index indicates a tourist course that incurs a greater cost compared to other tourist courses.

[0078] The above-mentioned importance index setting module (125e) is configured to set the degree of importance of each item when evaluating a tourism course, and sets the degree of importance for each of the visit cost, preference index, time index, and cost index. Accordingly, the above-mentioned importance index setting module (125e) can evaluate a tourism course by assigning weights to the items each user considers important, thereby enabling the user to select a tourism course that suits their characteristics.

[0079] The above course index provision module (125f) is configured to provide users with a course index indicating the degree of evaluation for each tourist course, and can calculate and provide a course index by adding up a visit index, a preference index, a time index, and a cost index. At this time, since a higher visit index and a preference index, and a lower time index and a cost index, mean a higher degree of visitation and preference by users, and a lower time index and a lower cost index, the time index and the cost index can be calculated by subtracting their values ​​to form the course index.

[0080] The above recommended course selection module (126) is configured to select a desired tourist course by the user, and can allow the user to select a desired tourist course by referring to the plurality of tourist course information and the course index for each tourist course provided by the recommended course creation module (124) and the recommended course analysis module (125).

[0081] The above movement recommendation unit (13) is configured to recommend the next tourist area based on the location specified by the user, and the region recommendation unit (11) that recommends a tourist area that fits the schedule according to the user's conditions can recommend the next tourist area to move to based on the location specified by the user, for example, the current location or the location where the tourist course ends, so that the user's tourist route can be recommended in real time. In addition, the movement recommendation unit (13) can recommend a tourist course from the recommended movement area so that a continuous tourist route can be provided. To this end, the movement recommendation unit (13) may include a reference location setting module (131), a movement area recommendation module (132), and a movement course recommendation module (133).

[0082] The above reference location setting module (131) is configured to set a reference location for which the user wishes to receive recommendations for the next tourist area, and can set a location specified by the user or the current location as the reference location.

[0083] The above-mentioned movement area recommendation module (132) is configured to recommend the next tourist area to be moved from a reference location, and recommends areas that other users have moved frequently from the reference location. In particular, the next tourist area can be recommended by reflecting the user's gender, age, and current environmental information. To this end, the movement area recommendation module (132) may include a basic information collection module (132a), an environmental information collection module (132b), a movement information collection module (132c), a movement frequency analysis module (132d), and a recommended area provision module (132e).

[0084] The above basic information collection module (132a) is configured to collect basic information of users for analyzing movement in a tourist area, and can collect information on the age and gender of users who have moved from a specific location to another tourist area, and can collect information on users registered in this system.

[0085] The above environmental information collection module (132b) is configured to collect environmental information when a user moves, and can collect weather information from an external weather system, etc. based on a specific location of the user being analyzed.

[0086] The above movement information collection module (132c) is configured to collect the user's movement information, and collects tourist area information to which a user registered in this system has moved from a specific location.

[0087] The above movement frequency analysis module (132d) is configured to analyze the frequency of movement to a specific tourist area from the collected user movement information, and analyzes the frequency of movement to each tourist area.

[0088] The above-mentioned recommended region provision module (132e) is configured to recommend a tourist region with a high frequency of movement as the next tourist region, thereby recommending a tourist region with a high frequency of movement. In particular, the above-mentioned recommended region provision module (132e) can make recommendations by comparing the frequency of movement among individuals of the same gender, age group, and environment.

[0089] The above-mentioned travel course recommendation module (133) is configured to recommend a tourist route in a recommended tourist area, and can enable the tourist course to be recommended by the course recommendation unit (12).

[0090] The above pass purchase section (14) is configured to purchase a pass that can be used for the recommended tour course. A pass refers to a voucher that can be used to purchase products at affiliated businesses registered in this system. Affiliated businesses can use a specific amount at restaurants, cafes, experience centers, tourist attractions, etc., and can be configured to allow the use of an amount 2 to 3 times the sales price of the pass. For example, the pass purchase section (14) can induce the purchase of pass by allowing the purchase of products worth 30,000 won while selling a pass for 9,900 won. Through this, users who have received a recommended tour course can be induced to directly purchase products from local affiliated businesses registered in this system, thereby directly contributing to enhancing the promotional effect and sales of local affiliated businesses. In addition, no settlement is made with local affiliates regarding pass tickets, and each local affiliate can have a promotional effect for the company with only the amount of discounted sales for some products, and can be linked to direct sales, and the system operator can also generate sales through the sale of pass tickets, thereby contributing to improved profitability through the provision of information. The pass ticket purchase unit (14) can set the pass ticket price and discount rate to set the price of products that can be purchased with pass tickets, and in particular, by using pass tickets to purchase products of direct affiliates through this system, the pass ticket usage rate can be increased and the visit linkage effect of the affiliate can be maximized. To this end, the pass purchase unit (14) may include a course information loading module (140), a price setting module (141), a purchase rate setting module (142), a purchase amount calculation module (143), an affiliated business display module (144), a recommended course selection module (145), a business information sorting module (146), a purchase product display module (147), a purchase product selection module (148), and a pass payment module (149).

[0091] The above course information loading module (140) is configured to retrieve information on recommended tourist courses selected by the user, and also retrieve information on affiliated businesses around the tourist course.

[0092] The above price setting module (141) is configured to set the price of a pass, and can be set by the administrator according to the location of the tourist course, the number of affiliated businesses, etc.

[0093] The above purchase rate setting module (142) is configured to set the price ratio of products that can be purchased with a pass, and can set a purchase rate that serves as a standard for a recommended course. The purchase rate can be adjusted according to the number of passes purchased and the rental of transportation through this system. To this end, the purchase rate setting module (142) may include a standard purchase rate storage module (142a), a pass count storage module (142b), a rental information loading module (142c), and a purchase rate adjustment module (142d).

[0094] The above standard purchase rate storage module (142a) is configured to store the standard purchase rate for each pass, and can set and store the standard purchase rate according to the location of the tourist course, the number of affiliated businesses, product price, etc., and can be set to, for example, 200% to 400%.

[0095] The above pass number storage module (142b) is configured to store the number of passes that the user wishes to purchase, and allows the user to select and purchase passes for each tourist course on each date, and store the number of passes that the user wishes to purchase.

[0096] The above rental information loading module (142c) is configured to store information on a means of transportation rented through this system. For example, this system can manage rentals of means of transportation such as kickboards, and can adjust the purchase rate according to the rental information of the means of transportation.

[0097] The above purchase rate adjustment module (142d) is configured to adjust the purchase rate of passes, and can adjust the purchase rate based on the number of passes purchased and rental information provided through this system. For example, the purchase rate adjustment module (142d) can increase the standard purchase rate based on the number of rental days of the transportation vehicle as the number of passes increases, thereby encouraging the purchase of passes and rental of transportation vehicles.

[0098] The above purchase price calculation module (143) is configured to calculate the price of products that can be purchased with a pass, and can calculate the purchase price by multiplying the pass price set by the price setting module (141) by the purchase rate set by the purchase rate setting module (142). Accordingly, products from an affiliated company can be purchased according to the amount calculated by the purchase price calculation module (143).

[0099] The above-mentioned affiliate display module (144) displays products and affiliate information that can be purchased with the pass. For each recommended tour course, the products and information about the relevant affiliate can be displayed on a map or in a list. Each affiliate can set the type and price range of products that can be purchased with the pass. For example, a standard amount, such as 20% of the product price or 5,000 won, can be set to allow payment via the pass.

[0100] The above recommended course selection module (126) is configured to select a recommended tourist course for the user to use, and can enable the purchase of a pass for the selected tourist course.

[0101] The above business information sorting module (146) is configured to sort information on affiliated businesses around a selected tourist course, and when purchasing a pass, it sorts and displays affiliated businesses that have products that can be purchased with the pass.

[0102] The above purchase product display module (147) is configured to display products that can be purchased through the passes of affiliated companies displayed by the above business information sorting module (146), and can display the quantity and price thereof, and can enable the product of the affiliated company to be directly purchased by the selection of the user purchasing the pass.

[0103] The above purchase product selection module (148) is configured to enable the user to select a product to be purchased using a pass, and can enable selection of a product according to the amount that can be purchased using the pass.

[0104] The above pass payment module (149) is configured to allow payment for the purchase of a pass, and can be used to select a pass that can be used by selecting a tour course and to make payment for only the pass, or can be used to directly select a product from an affiliated store that can be purchased with the pass through the purchase product selection module (148) and make payment. Accordingly, if only the pass is paid for, the pass is used according to the amount when purchasing a product at an affiliated store, and if payment for a product is completed using the pass, the payment information can be used to purchase the product directly from the affiliated store.

[0105] The above pass analysis unit (15) is configured to analyze the use of pass tickets. When a user purchases only a pass ticket, it can analyze the usage thereof, evaluate the affiliated businesses, and provide the evaluated information to the users. Therefore, the pass analysis unit (15) can increase the satisfaction of users according to their choices by providing evaluation information on the affiliated businesses, and can also induce the affiliated businesses to strive for quality improvement to increase their satisfaction. In addition, the evaluation information by the pass analysis unit (15) is reflected in the purchase rate set by the purchase rate setting module (142), thereby lowering the purchase rate of passes that include popular affiliated businesses, thereby having the effect of reducing the promotional expenses of the affiliated businesses. To this end, the pass analysis unit (15) may include a visit information collection module (151), a visit index calculation module (152), a stay information collection module (153), a stay index calculation module (154), a review information collection module (155), a satisfaction index calculation module (156), an evaluation index calculation module (157), a ranking calculation module (158), and a purchase rate reflection module (159).

[0106] The above visit information collection module (151) is configured to collect visit information about affiliated businesses, and can collect visit information about affiliated businesses by using location information, payment information, etc. of users who purchased passes.

[0107] The above visit index calculation module (152) is configured to calculate a visit index indicating the degree of visits to an affiliated business, and can calculate the visit index based on the ratio of the number of visits to the affiliated business to the number of selections of recommended courses including the affiliated business.

[0108] The above-mentioned stay information collection module (153) is configured to collect time information on staying at an affiliated company, and can collect time information on staying at an affiliated company using the user's location information.

[0109] The above-mentioned residence index calculation module (154) is configured to calculate a residence index indicating the length of time a user stays at an affiliated business. The residence index can be calculated based on the ratio of the residence time of a specific user who purchased a pass to the average residence time for the affiliated business. The higher the residence index, the higher the satisfaction with the affiliated business, and the longer the waiting time, which can be used as an indicator for calculating the degree of popularity of the affiliated business.

[0110] The above review information collection module (155) is configured to collect review information on affiliated businesses, and can enable users purchasing passes to collect review information on affiliated businesses registered through this system.

[0111] The above satisfaction index calculation module (156) is configured to calculate a satisfaction index indicating satisfaction with an affiliated company, and can calculate a satisfaction index based on the ratio of positive preference level to the number of reviews by analyzing review information.

[0112] The above evaluation index calculation module (157) is configured to calculate an evaluation index indicating the evaluation level of an affiliated company, and can calculate the evaluation index by adding up the visit index, stay index, and satisfaction index.

[0113] The above ranking calculation module (158) is configured to calculate a ranking for an evaluation index, and can calculate the ranking of an affiliated business for an evaluation index within a specific tourist area.

[0114] The above purchase rate reflection module (159) is configured to reflect the calculated ranking in the purchase rate set by the purchase rate setting module (142), and can adjust the purchase rate according to the calculated ranking. For example, the purchase rate reflection module (159) can adjust the purchase rate to decrease according to the number of affiliates included in a certain ranking included in the recommended course. Therefore, as the ranking of an affiliate increases, the purchase rate is lowered, thereby reducing the purchase amount of the product, thereby reducing the promotional cost from the affiliate's standpoint, and thereby inducing the affiliate's efforts to improve the quality.

[0115] The above rental management unit (16) is configured to manage rental of transportation means through this system, and for example, information regarding reservation, rental and return, and payment of kickboards can be managed.

[0116] The user terminal (2) above can register the user's information with the management server (1) using a terminal such as a smartphone or tablet carried by the user, and can receive and output tourism-related information. To this end, the user terminal (2) can be equipped with an application for use of the system, and can be configured to provide location information and output information on tourist areas, courses, affiliated businesses, etc.

[0117] The above management terminal (3) is configured to register tourism-related information in the management server (1), and information on tourism areas, tourism courses, tourism content, affiliated companies, etc. can be entered and registered.

[0118]

[0119] In the above, the applicant has described various embodiments of the present invention, but such embodiments are only examples of implementing the technical idea of ​​the present invention, and any change or modification that implements the technical idea of ​​the present invention should be interpreted as falling within the scope of the present invention.

Claims

1. A user terminal that is carried by a user who wishes to travel and into which the user’s information is entered; An administrator terminal for registering tourism-related information; It includes a management server that analyzes the visit information and preferences of tourists based on the information entered by the user, recommends tourist areas and tourist courses, and enables payment of passes that can be used at affiliated businesses around the recommended courses. The above management server, It includes a region recommendation section that recommends tourist destinations in a tourist destination based on user information, a course recommendation section that creates and recommends multiple tourist courses based on user information and conditions in the recommended region, and a pass purchase section that prints out passes that can be used to purchase products from affiliated companies on each recommended tourist course and allows payment to be made. The above pass purchase department is, A local tourism platform service system characterized by setting the price of the pass lower than the price of products that can be purchased from affiliated stores through the pass.

2. In paragraph 1, the pass purchase section A local tourism platform service system characterized by comprising a course information loading module that retrieves recommended course information by the course recommendation unit, a price setting module that sets a pass price for each recommended course, a purchase rate setting module that sets a ratio of the purchase amount for affiliated company products that can be purchased with a pass, a purchase amount calculation module that calculates the purchase amount available for use with a pass according to the set purchase rate, an affiliated company display module that displays a list and price of affiliated company products that can be purchased according to the calculated purchase amount, a recommended course selection module that allows a user to select one of the recommended courses, and a pass payment module that allows payment for a pass for the selected recommended course.

3. In the second paragraph, the pass purchase section Allows you to purchase one or more passes that can be used for a set period of time, The above purchase rate setting module is, A local tourism platform service system characterized by including a standard purchase rate storage module that stores a standard purchase rate for each recommended course, a pass number storage module that stores information on the number of passes a user wishes to purchase, a rental information loading module that retrieves information on the rental period of transportation provided through this system, and a purchase rate adjustment module that adjusts the purchase rate according to the number of passes purchased and the rental period of transportation.

4. In the second paragraph, the pass purchase section It includes a business information sorting module that sorts and displays information about affiliated businesses around the selected recommended course, a purchase product display module that displays products and prices of each business that can be purchased with a pass, and a purchase product selection module that allows users to select products from affiliated businesses. A local tourism platform service system characterized in that the above pass payment module allows payment for purchases made from selected affiliated businesses within the range of the pass price.

5. In the second paragraph, the management server Includes a pass analysis unit that analyzes the use of pass rights, The above pass analysis unit, A visit information collection module that collects information on visits to affiliated businesses by pass purchasers, a visit index calculation module that calculates a visit index indicating the degree of visits based on the ratio of the number of visits to the affiliated businesses compared to the number of times recommended courses are selected for the selected recommended courses, a stay information collection module that collects information on the time that pass purchasers stay at the affiliated businesses, a stay index calculation module that calculates a stay index based on the ratio of the stay time of a specific pass purchaser compared to the average stay time of other purchasers at the affiliated businesses, a review information collection module that collects review information of purchasers on the affiliated businesses, a satisfaction index calculation module that analyzes the review information and calculates a satisfaction index based on the degree of positivity, an evaluation index calculation module that calculates an evaluation index for the affiliated businesses by adding up the visit index, stay index, and satisfaction index, a ranking calculation module that calculates a ranking for the evaluation index of the affiliated businesses in a specific tourist area, and a purchase rate set by the purchase rate setting module is adjusted based on the calculated ranking. A local tourism platform service system characterized by including a purchase rate reflection module.

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