Scenic area passenger flow analysis system and distribution method thereof

Abstract

The invention relates to a scenic spot passenger flow analysis system and a distribution method thereof, and belongs to the technical field of scenic spot management. The scenic spot passenger flow analysis system comprises a data collection module, a data cleaning module, a model construction module, a data statistics module and a data visualization module; the data collection module comprises network platform reservation system data, ticket checking system data and camera monitoring system data. The scenic spot passenger flow analysis system and the distribution method thereof are suitable for existing hot scenic spot passenger flow analysis work, the number of tourists can be simply recorded, and passenger flow data analysis can be carried out on tourist behaviors, preferences and activity rules; therefore, a reference can be provided for market promotion, an improvement direction can be provided for promotion of products and promotion services in scenic spots, managers are assisted in shunting tourist routes, and a scenic spot guide system is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of scenic spot management, and in particular to a scenic spot passenger flow analysis system and a passenger flow diversion method thereof. Background Art

[0002] With the rapid development of tourism, scenic spot passenger flow statistics have become an important part of the management of major scenic spots. By analyzing passenger flow data, we can better understand tourists' behavioral habits, predict future trends, and thus formulate more effective management strategies.

[0003] With the increase of per capita income, the tourism industry has entered a stage of explosive growth. Faced with the new situation, scenic area managers need to ensure the stable diversion of scenic area tourists to prevent the sightseeing experience from being affected by congestion. They need to push information to key source areas to ensure market competitiveness. They need to provide appropriate tourism planning to ensure tourists' sightseeing experience. For this reason, a scenic area passenger flow analysis system and its diversion method are proposed. It can not only simply record the number of tourists, but also analyze the passenger flow data of tourists' behaviors, preferences and activity patterns. By understanding the distribution of tourists' sources, it can provide a reference for market promotion. By understanding the age structure of tourists and analyzing the proportion of tourists of different age groups, it can provide improvement directions for scenic area promotion products and services. By understanding the gender ratio of tourists, it can provide a reference for scenic area facilities and services. By understanding the visiting time of tourists, it can analyze the average visiting time and stay time of tourists and optimize the layout and services of scenic areas. By understanding the regular tour routes of tourists, it can analyze the tour routes, so as to facilitate the diversion of specific tourist routes and optimize the scenic area guide system. Summary of the invention

[0004] The present invention provides a scenic spot passenger flow analysis system and a diversion method thereof, which solves the problems raised by the above-mentioned existing background technology and is applicable to the existing passenger flow analysis work of popular scenic spots. It can not only simply record the number of tourists, but also analyze the passenger flow data of tourists' behaviors, preferences and activity patterns, so as to provide a reference for market promotion, provide improvement direction for scenic spot promotion products and promotion services, assist management personnel to divert tourist routes and optimize the scenic spot guide system.

[0005] The solution of the present invention to solve the above technical problems is as follows: a scenic spot passenger flow analysis system, including a data collection module, a data cleaning module, a model building module, a data statistics module and a data visualization module, the data collection module includes network platform reservation system data, ticket checking system data and camera monitoring system data;

[0006] The diversion method includes the following steps:

[0007] S1: Input the data of the online platform reservation system, the ticket checking system and the camera monitoring system into the data collection module. The online platform reservation system requires tourists to register the source city information, age information, gender information, reservation date and tour time information. The data collection module aggregates the data into the data collection module;

[0008] S2: The data collection module can clean the collected data. 1. Select a subset of the data, select the data columns in the data set that need to be analyzed, and hide other data columns that do not participate in the analysis to avoid interference; 2. Rename the columns, and rename the column name of a certain data column to avoid interference with the analysis results; 3. Delete duplicate values, delete duplicate data values ​​in the data; 4. Missing value processing, manually fill in the missing values ​​at one time to avoid affecting the results during data analysis, and fill in the missing data values; 5. Consistency processing, there may be a data column in the data set that is inconsistent with the standard or the naming rules, and the split column function can be used to split the data values ​​in the inconsistent data column; 6. Data value function application, filter and sort the data in the column data set, and apply functions such as ascending and descending order; 7. Outlier processing, analyze the cleaned data and apply it to the pivot table;

[0009] S3: The model building module builds the model according to the cleaned data, and uses the data statistics module to collect statistics on the number of scenic spot visitors, the source city data of scenic spot visitors, the age data of scenic spot visitors, the gender data of scenic spot visitors, the reservation time and tour time statistics of scenic spot visitors, the tour route data of scenic spot visitors, and the distribution data of scenic spot visitors;

[0010] S4: Statistical data is exported through the data visualization module to visualize tables and visualized PPT for scenic spot passenger flow analysis. 1. According to the source city data of scenic spot tourists, regular off-season discounts are offered to tourists from popular source cities, so as to achieve the purpose of date diversion; 2. According to the source city data of scenic spot tourists, the changes in the number of tourists in the source city are compared to determine the targeted marketing effect, so as to provide a reference for subsequent marketing; 3. According to the age structure of tourists, the age ratio of tourists is analyzed to provide a reference for scenic spot facilities and services; 4. According to the registered visit time of tourists, they enter the scenic spot in sections, so that tourists can be evenly distributed in the scenic spot and achieve diversion within the scenic spot; 5. According to the tourist flow data of camera monitoring, crowded routes are closed at a fixed time to reduce congestion, so that additional tour routes can divert key tour routes; 6. According to the gender ratio of tourists, reference can be provided for scenic spot facilities and services, and reference can be provided for the selection direction of cultural and creative products; 7. According to the visit time of tourists, the average visit time and stay time of tourists can be analyzed to optimize the layout and kimono of the scenic spot; 8. According to the regular tour route of tourists, the tour route can be analyzed to facilitate the diversion of specific tourist routes and optimize the scenic spot guide system.

[0011] Based on the above technical solution, the present invention can also be improved as follows.

[0012] Furthermore, the network platform reservation system data includes source city information, age information, gender information, reservation date and tour time information.

[0013] Furthermore, the online platform reservation system can count the number of people who have booked tickets, the ticket checking system can count the number of people who have actually arrived at the scenic spot, and the camera monitoring system can be used to count the number of people who have actually visited the scenic spot route.

[0014] Furthermore, the surveillance cameras in the camera surveillance system are evenly arranged in various tour routes of the scenic area.

[0015] Furthermore, the visualization table and visualization PPT display scenic spot population data, scenic spot tourist source city data, scenic spot tourist age data, scenic spot tourist gender data, scenic spot tourist reservation time and tour time statistics, scenic spot tourist tour route data and scenic spot tourist distribution data.

[0016] The beneficial effects of the present invention are as follows: the present invention provides a scenic spot passenger flow analysis system and a passenger flow diversion method thereof, which have the following advantages:

[0017] 1. Based on the data of the online platform reservation system, ticket checking system and camera monitoring system, the data is sorted through the data cleaning module and model building module, and the scenic spot passenger flow data is visualized through the data statistics module and data visualization module, so as to form a visualization table and visualization PPT, so that scenic spot managers can analyze the scenic spot data passenger flow;

[0018] 2. Such a scenic spot passenger flow analysis system and its diversion method are suitable for the existing passenger flow analysis work of popular scenic spots. It can not only simply record the number of tourists, but also analyze the passenger flow data of tourists' behaviors, preferences and activity patterns, so as to provide reference for market promotion, provide improvement direction for scenic spot promotion products and services, assist management personnel to divert tourist routes and optimize the scenic spot guide system.

[0019] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings. The specific implementation of the present invention is given in detail by the following embodiments and their accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0021] Figure 1 A system flow chart of a scenic spot passenger flow analysis system and its diversion method provided by an embodiment of the present invention;

[0022] Figure 2 A schematic diagram of network platform reservation system data in a scenic spot passenger flow analysis system and its diversion method provided by an embodiment of the present invention;

[0023] Figure 3 A schematic diagram of a scenic spot passenger flow analysis system and a scenic spot passenger flow diversion method provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0024] The following is combined with Figure 1-3 The principles and features of the present invention are described, and the examples are only used to explain the present invention and are not used to limit the scope of the present invention. In the following paragraphs, the present invention is described in more detail by way of example with reference to the accompanying drawings. The advantages and features of the present invention will become clearer according to the following description and claims. It should be noted that the drawings are all in a very simplified form and are not in precise proportions, and are only used to facilitate and clearly assist in explaining the purpose of the embodiments of the present invention.

[0025] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a component centered. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a component centered. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a component centered. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0027] like Figure 1-3 As shown, the present invention provides a scenic spot passenger flow analysis system, including a data collection module, a data cleaning module, a model building module, a data statistics module and a data visualization module. The data collection module includes network platform reservation system data, ticket checking system data and camera monitoring system data.

[0028] Preferably, the network platform reservation system data includes source city information, age information, gender information, and reservation date and tour time information.

[0029] Preferably, the online platform reservation system can count the number of people who have booked tickets, the ticket checking system can count the number of people who have actually arrived at the scenic spot, and the camera monitoring system can be used to count the actual number of people who have visited the scenic spot route.

[0030] Preferably, the surveillance cameras in the camera surveillance system are evenly arranged in various tour routes of the scenic area.

[0031] Preferably, the visual tables and visual PPTs display the number of scenic spot tourists, the source cities of scenic spot tourists, the age data of scenic spot tourists, the gender data of scenic spot tourists, the reservation time and tour time statistics of scenic spot tourists, the tour route data of scenic spot tourists and the distribution data of scenic spot tourists.

[0032] The specific working principle and use method of the present invention are:

[0033] S1: Input the data of the online platform reservation system, the ticket checking system and the camera monitoring system into the data collection module. The online platform reservation system requires tourists to register the source city information, age information, gender information, reservation date and tour time information. The data collection module aggregates the data into the data collection module;

[0034] S2: The data collection module can clean the collected data. 1. Select a subset of the data, select the data columns in the data set that need to be analyzed, and hide other data columns that do not participate in the analysis to avoid interference; 2. Rename the columns, and rename the column name of a certain data column to avoid interference with the analysis results; 3. Delete duplicate values, delete duplicate data values ​​in the data; 4. Missing value processing, manually fill in the missing values ​​at one time to avoid affecting the results during data analysis, and fill in the missing data values; 5. Consistency processing, there may be a data column in the data set that is inconsistent with the standard or the naming rules, and the split column function can be used to split the data values ​​in the inconsistent data column; 6. Data value function application, filter and sort the data in the column data set, and apply functions such as ascending and descending order; 7. Outlier processing, analyze the cleaned data and apply it to the pivot table;

[0035] S3: The model building module builds the model according to the cleaned data, and uses the data statistics module to collect statistics on the number of scenic spot visitors, the source city data of scenic spot visitors, the age data of scenic spot visitors, the gender data of scenic spot visitors, the reservation time and tour time statistics of scenic spot visitors, the tour route data of scenic spot visitors, and the distribution data of scenic spot visitors;

[0036] S4: Statistical data is exported through the data visualization module to visualize tables and visualized PPT for scenic spot passenger flow analysis. 1. According to the source city data of scenic spot tourists, regular off-season discounts are offered to tourists from popular source cities, so as to achieve the purpose of date diversion; 2. According to the source city data of scenic spot tourists, the changes in the number of tourists in the source city are compared to determine the targeted marketing effect, so as to provide a reference for subsequent marketing; 3. According to the age structure of tourists, the age ratio of tourists is analyzed to provide a reference for scenic spot facilities and services; 4. According to the registered visit time of tourists, they enter the scenic spot in sections, so that tourists can be evenly distributed in the scenic spot and achieve diversion within the scenic spot; 5. According to the tourist flow data of camera monitoring, crowded routes are closed at a fixed time to reduce congestion, so that additional tour routes can divert key tour routes; 6. According to the gender ratio of tourists, reference can be provided for scenic spot facilities and services, and reference can be provided for the selection direction of cultural and creative products; 7. According to the visit time of tourists, the average visit time and stay time of tourists can be analyzed to optimize the layout and kimono of the scenic spot; 8. According to the regular tour route of tourists, the tour route can be analyzed to facilitate the diversion of specific tourist routes and optimize the scenic spot guide system.

[0037] It should be noted that, in this document, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Contents not described in detail in this specification belong to the prior art known to professionals in the field.

[0038] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in the industry can smoothly implement the present invention as shown in the drawings and described above. However, any equivalent changes, modifications and evolutions made by technicians familiar with the profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. A scenic spot passenger flow analysis system, comprising a data collection module, a data cleaning module, a model building module, a data statistics module and a data visualization module, characterized in that: The data collection module includes network platform reservation system data, ticket checking system data and camera monitoring system data; The diversion method includes the following steps: S1: Input the data of the online platform reservation system, the ticket checking system and the camera monitoring system into the data collection module. The online platform reservation system requires tourists to register the source city information, age information, gender information, reservation date and tour time information. The data collection module aggregates the data into the data collection module; S2: The data collection module can clean the collected data.

1. Select a subset of the data, and select the data columns in the data set that need to be analyzed. To avoid interference, other data columns that do not participate in the analysis can be hidden.

2. To avoid interference with analysis results, you need to rename the column name of a certain data column; 3. Delete duplicate values ​​and delete duplicate data values ​​in the data; 4. Missing value processing: manually fill in missing values ​​at one time to avoid affecting the results during data analysis and fill in missing data values; 5. Consistency processing: there may be data in a certain data column in the data set that is inconsistent with the standard or naming rules. The split column function can be used to split the data values ​​in the inconsistent data column; 6. Data value function application: filter and sort the data in the column data set, and apply functions such as ascending and descending order; 7. Outlier processing: analyze the cleaned data and apply it to the pivot table; S3: The model building module builds the model according to the cleaned data, and uses the data statistics module to collect statistics on the number of scenic spot visitors, the source city data of scenic spot visitors, the age data of scenic spot visitors, the gender data of scenic spot visitors, the reservation time and tour time statistics of scenic spot visitors, the tour route data of scenic spot visitors, and the distribution data of scenic spot visitors; S4: The statistical data is exported into visualization tables and visualization PPT through the data visualization module for scenic spot passenger flow analysis.

1. According to the source city data of scenic spot tourists, regular off-season discounts are offered to tourists from popular source cities, so as to achieve the purpose of date diversion; 2. According to the data of the source cities of tourists in the scenic area, compare the changes in the number of tourists in the source cities to determine the targeted marketing effect, so as to provide reference for subsequent marketing; 3. According to the age structure of tourists, analyze the age ratio of tourists, and provide reference for the facilities and services of the scenic area; 4. Tourists are allowed to enter the scenic area in sections according to their registered visit time, so that they can be evenly distributed in the scenic area and achieve diversion within the scenic area; 5. Congested routes are closed at a fixed time based on the tourist flow data monitored by cameras, thereby reducing congestion, so that additional tour routes can divert key tour routes; 6. Based on the gender ratio of tourists, it can provide reference for scenic area facilities and services, and provide reference for the selection direction of cultural and creative products; 7. Tourists’ visiting time: it can analyze the average visiting time and stay time of tourists and optimize the layout of scenic spots; 8. According to the regular tour routes of tourists, the tour routes can be analyzed to facilitate the diversion of specific tourist routes and optimize the scenic area guide system.

2. A scenic spot passenger flow analysis system according to claim 1, characterized in that: The network platform reservation system data includes source city information, age information, gender information, reservation date and tour time information.

3. A scenic spot passenger flow analysis system according to claim 1, characterized in that: The online platform reservation system can count the number of people who have booked tickets, the ticket checking system can count the number of people who have actually visited the scenic spot, and the camera monitoring system can be used to count the number of people who have actually visited the scenic spot route.

4. A scenic spot passenger flow analysis system according to claim 1, characterized in that: The monitoring cameras in the camera monitoring system are evenly arranged in various tour routes of the scenic area.

5. A scenic spot passenger flow analysis system according to claim 1, characterized in that: The visualization table and visualization PPT display the data of the number of tourists in the scenic area, the data of the cities where tourists come from, the data of the age of tourists in the scenic area, the data of the gender of tourists in the scenic area, the statistical data of the reservation time and the tour time of tourists in the scenic area, the tour route data of tourists in the scenic area and the distribution data of tourists in the scenic area.

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