Tourism road network planning method, device, equipment and storage medium

Abstract

The invention discloses a tourism road network planning method comprising the following steps: collecting multi-source reference data of a to-be-planned area, and preprocessing the multi-source reference data; obtaining all road sections of the to-be-planned area according to the road network data; performing resource evaluation on the road section according to a pre-established resource evaluation model to obtain a total resource evaluation score, performing road evaluation on the road section according to a pre-established road evaluation model to obtain a road evaluation coefficient, and performing road evaluation on the road section based on the total resource evaluation score and the road evaluation coefficient. Calculating to obtain a total evaluation score of each road section; determining a tourism road network of the to-be-planned area based on the total evaluation score; according to the method, the resource value and the road condition of the road section are comprehensively considered, the tourism road network can meet the resource distribution characteristics and the road passing requirements, the optimal layout is realized, and the scientificity and the applicability of tourism road network planning are improved, so that the tourism industry development of the to-be-planned area is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of route planning, and particularly to a method, device, equipment and storage medium for tourism road network planning. Background Art

[0002] As an important infrastructure connecting tourist attractions and promoting local economic development, tourist roads are not only convenient channels for tourists to travel, but also windows to display the natural scenery, historical culture and folk customs of the region. They are not only key components of the transportation network, but also key elements to enhance the tourism experience, enhance tourism attraction and promote the integrated development of the tourism industry and related industries. The planning and design of tourist roads aim to achieve the effective integration and efficient utilization of tourism resources, and have far-reaching strategic significance for strengthening urban cultural publicity, promoting local economic diversification, improving residents' living standards and enhancing regional competitiveness.

[0003] The core of tourism road network planning lies in ensuring that roads can maximize the connection of various tourism resource points, provide tourists with safe, fast and comfortable travel experiences, and at the same time minimize the negative impact on the ecological environment along the line. However, the existing technologies still have some limitations in meeting these requirements. On the one hand, the current situation of road construction is crucial for the selection of tourism road networks, including road route selection, pavement material selection, road landscape design and pavement quality guarantee, etc. Traditional highway planning concepts rely too much on established standards when selecting road routes, ignoring the particularity of the road current situation, resulting in poor applicability and flexibility of tourism road network planning; on the other hand, the rapid changes in the tourism market and the emergence of new tourism forms have put forward higher requirements for tourism road planning. Traditional planning methods often have difficulty in adjusting quickly in the face of these new trends, resulting in low planning efficiency and difficulty in flexible adjustment with the changes in market demand. Therefore, there is an urgent need to introduce a more scientific, flexible and highly efficient tourism road network planning method that fully considers the dynamics of the tourism market. Summary of the Invention

[0004] Embodiments of the present invention provide a method for tourism road network planning, which can fully consider the dynamic changes of the tourism market, efficiently carry out tourism road network planning, and improve the flexibility and applicability of the planning.

[0005] In a first aspect, embodiments of the present invention provide a method for tourism road network planning, including:

[0006] Collect multi-source reference data of the area to be planned, and preprocess the multi-source reference data; wherein, the multi-source reference data includes tourism resource data, cultural resource data, ecological resource data, traffic resource data, population resource data, industrial resource data and road network data;

[0007] Obtain all road segments in the area to be planned according to the road network data;

[0008] Conduct resource evaluation on the road segments according to a pre-established resource evaluation model to obtain the total resource evaluation score. According to a pre-established road evaluation model, conduct road evaluation on the road segments to obtain the road evaluation coefficient. Based on the total resource evaluation score and the road evaluation coefficient, calculate the evaluation score of each road segment;

[0009] Based on the evaluation score, determine the tourism road network in the area to be planned.

[0010] Furthermore, the preprocessing of the multi-source reference data includes:

[0011] Import the multi-source reference data into a geographic information platform, and use a spatial correction tool to perform coordinate matching and elevation matching on the multi-source reference data;

[0012] Normalize the matched multi-source reference data according to a pre-set normalization standard.

[0013] Furthermore, the construction process of the resource evaluation model includes:

[0014] Construct resource evaluation indicators according to the tourism resource data, the cultural resource data, the ecological resource data, the transportation resource data, the population resource data, and the industrial resource data; among them, the resource evaluation indicators include tourism resource evaluation indicators, cultural resource evaluation indicators, ecological resource evaluation indicators, transportation resource evaluation indicators, population resource evaluation indicators, and industrial resource evaluation indicators;

[0015] Assign corresponding resource evaluation indicator weights to each of the resource evaluation indicators; among them, the resource evaluation weights include tourism resource evaluation indicator weights, cultural resource evaluation indicator weights, ecological resource evaluation indicator weights, transportation resource evaluation indicator weights, population resource evaluation indicator weights, and industrial resource evaluation indicator weights.

[0016] Furthermore, the conducting of resource evaluation on the road segments according to a pre-established resource evaluation model to obtain the total resource evaluation score includes:

[0017] Use each of the resource evaluation indicators to evaluate each road segment to obtain the first resource evaluation score of each road segment; among them, the first resource evaluation score includes the first tourism resource evaluation score, the first cultural resource evaluation score, the first ecological resource evaluation score, the first transportation resource evaluation score, the first population resource evaluation score, and the first industrial resource evaluation score;

[0018] The first resource evaluation score is mapped onto the road segment by using a Gaussian distance attenuation model to obtain a second resource evaluation score;

[0019] Based on the second resource evaluation score and the resource evaluation index weight, the total resource evaluation score of each road segment is calculated.

[0020] Further, the road segment is evaluated according to a pre-established road evaluation model to obtain a road evaluation coefficient, including:

[0021] The road network spatial line position data and the road current construction data are obtained from the road network data;

[0022] According to the road network spatial line position data, by using a space syntax tool, the road network accessibility and the road network concentration degree of each road segment are calculated, and based on the road network accessibility and the road network concentration degree, a road network accessibility coefficient and a road network concentration degree coefficient are obtained;

[0023] The road segment is evaluated according to a preset road construction standard, and a road construction current situation coefficient is obtained according to the evaluation result.

[0024] Further, the total evaluation score of each road segment is calculated based on the total resource evaluation score and the road evaluation coefficient, including:

[0025] The total resource evaluation score is multiplied by the road network accessibility coefficient, the road network concentration degree coefficient and the road construction current situation coefficient to obtain the total evaluation score of each road segment.

[0026] Further, based on the total evaluation score, the tourism road network of the to-be-planned area is determined, including:

[0027] All the road segments are sorted in descending order according to the total evaluation score to obtain a first road segment sequence;

[0028] Several road segments are sequentially selected from the first road segment sequence as the main lines of the tourism road network so that the total length of the main lines of the tourism road network meets a preset main line length value range, and the remaining all road segments are denoted as a second road segment sequence;

[0029] Several road segments are sequentially selected from the second road segment sequence as the branch lines of the tourism road network so that the resource point coverage rate of the branch lines of the tourism road network meets a preset resource point coverage rate range;

[0030] The main lines of the tourism road network and the branch lines of the tourism road network are integrated to obtain the tourism road network of the to-be-planned area.

[0031] In a second aspect, an embodiment of the present invention provides a tourism road network planning device, including:

[0032] A data acquisition module, configured to acquire multi-source reference data of the area to be planned and preprocess the multi-source reference data; wherein, the multi-source reference data includes tourism resource data, cultural resource data, ecological resource data, transportation resource data, population resource data, industrial resource data, and road network data;

[0033] A data processing module, configured to obtain all road segments of the area to be planned according to the road network data;

[0034] A road segment evaluation module, configured to perform resource evaluation on the road segments according to a pre-established resource evaluation model to obtain a total resource evaluation score, perform road evaluation on the road segments according to a pre-established road evaluation model to obtain a road evaluation coefficient, and calculate an evaluation total score for each road segment based on the total resource evaluation score and the road evaluation coefficient;

[0035] A tourism road network generation module, configured to determine the tourism road network of the area to be planned based on the evaluation total score.

[0036] In a third aspect, an embodiment of the present invention provides an electronic device, including:

[0037] A memory, configured to store a computer program;

[0038] A processor, configured to execute the computer program;

[0039] Wherein, when the processor executes the computer program, the tourism road network planning method described in any one of the first aspects above is implemented.

[0040] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed, the tourism road network planning method described in any one of the first aspects above is implemented.

[0041] Compared with the prior art, a tourism road network planning method provided by an embodiment of the present invention has the following beneficial effects: by collecting multi-source reference data of the area to be planned and preprocessing the multi-source reference data; wherein, the multi-source reference data includes tourism resource data, cultural resource data, ecological resource data, transportation resource data, population resource data, industrial resource data, and road network data; obtaining all road segments of the area to be planned according to the road network data; performing resource evaluation on the road segments according to a pre-established resource evaluation model to obtain a total resource evaluation score, and performing road evaluation on the road segments according to a pre-established road evaluation model to obtain a road evaluation coefficient, and calculating an evaluation score for each road segment based on the total resource evaluation score and the road evaluation coefficient; determining the tourism road network of the area to be planned based on the evaluation score; by collecting multi-source reference data, the present invention can comprehensively reflect the actual situation of the area to be planned, improve the scientificity and applicability of tourism road network planning, and comprehensively consider the resource value and road conditions of road segments, which can ensure that the tourism road network not only conforms to the resource distribution characteristics but also meets the road traffic requirements, realizing the optimal layout of the tourism road network, thereby promoting the development of the tourism industry in the area to be planned. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical features of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without creative efforts.

[0043] Figure 1 is a schematic flowchart of an embodiment of a tourism road network planning method provided by the present invention;

[0044] Figure 2 is a schematic diagram of the total resource evaluation score of an embodiment of a tourism road network planning method provided by the present invention;

[0045] Figure 3 is a schematic diagram of the road evaluation coefficient of an embodiment of a tourism road network planning method provided by the present invention;

[0046] Figure 4 is a schematic diagram of the main line of the tourism road network of an embodiment of a tourism road network planning method provided by the present invention;

[0047] Figure 5 is a schematic diagram of the branch line of the tourism road network of an embodiment of a tourism road network planning method provided by the present invention;

[0048] Figure 6 is a schematic structural diagram of an embodiment of a tourism road network planning device provided by the present invention;

[0049] Figure 7 It is a schematic structural diagram of an embodiment of an electronic device provided by the present invention. Specific embodiments

[0050] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0051] It should be noted that although functional module division is performed in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different module division in the device or a different order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence.

[0052] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs. The terms used herein are only for the purpose of describing the embodiments of the present invention and are not intended to limit the present invention.

[0053] In a first aspect, an embodiment of the present invention provides a method for planning a tourism road network. Refer to Figure 1 , which is a schematic flowchart of an embodiment of a method for planning a tourism road network provided by the present invention.

[0054] As Figure 1 shown, the method includes the following steps:

[0055] S1: Collect multi-source reference data of the area to be planned and preprocess the multi-source reference data; wherein, the multi-source reference data includes tourism resource data, cultural resource data, ecological resource data, traffic resource data, population resource data, industrial resource data and road network data;

[0056] S2: Obtain all road segments of the area to be planned according to the road network data;

[0057] S3: Conduct resource evaluation on the road segments according to a pre-established resource evaluation model to obtain a total resource evaluation score, conduct road evaluation on the road segments according to a pre-established road evaluation model to obtain a road evaluation coefficient, and calculate an evaluation total score for each road segment based on the total resource evaluation score and the road evaluation coefficient;

[0058] S4: Determine the tourism road network of the area to be planned based on the total evaluation score.

[0059] In specific implementation, collect data on the area to be planned from multiple sources, including tourism resource data (such as scenic spot locations, grades, attractions, etc.), cultural resource data (such as historical sites, cultural activities, etc.), ecological resource data (such as nature reserves, ecologically sensitive areas, etc.), transportation resource data (such as existing roads, public transportation lines, etc.), population resource data (such as population density, population distribution, etc.), industrial resource data (such as main industrial distributions, economic activity hotspots, etc.), and road network data (including road locations, grades, traffic capacities, etc.), and preprocess the collected multi-source reference data to ensure the consistency, accuracy, and usability of the data.

[0060] According to the road network data, extract all road segment information within the area to be planned, apply the pre-established resource evaluation model to evaluate the resources around each road segment, and obtain the total resource evaluation score, which reflects the richness and attractiveness of the resources around the road segment. Apply the pre-established road evaluation model to evaluate each road segment itself, and obtain the road evaluation coefficient, which reflects the potential value of the road segment as a tourism road network. Combine the total resource evaluation score and the road evaluation coefficient, calculate the total evaluation score of each road segment, and based on the total evaluation score of each road segment, use appropriate planning methods and algorithms to determine the tourism road network of the area to be planned.

[0061] In summary, the present invention collects multi-source reference data of the area to be planned and preprocesses the multi-source reference data; wherein, the multi-source reference data includes tourism resource data, cultural resource data, ecological resource data, transportation resource data, population resource data, industrial resource data and road network data; all road segments of the area to be planned are obtained according to the road network data; resource evaluation is carried out on the road segments according to a pre-established resource evaluation model to obtain the total resource evaluation score, and road evaluation is carried out on the road segments according to a pre-established road evaluation model to obtain the road evaluation coefficient. Based on the total resource evaluation score and the road evaluation coefficient, the evaluation score of each road segment is calculated; based on the evaluation score, the tourism road network of the area to be planned is determined. By collecting multi-source reference data, which cover all aspects required for tourism planning, the present invention can comprehensively reflect the actual situation of the area to be planned, improve the scientificity and applicability of tourism road network planning. By carrying out resource evaluation on road segments through a pre-established resource evaluation model, a quantitative basis is provided for the resource value of road segments, which helps to give priority to road segments with rich resources when planning the tourism road network and enhance the attractiveness of the tourism road network. By carrying out road evaluation on road segments through a pre-established road evaluation model, it helps to ensure the traffic capacity and safety of road segments when planning the tourism road network, improve the tourism experience of tourists, realize the optimal layout of the tourism road network, and thus promote the development of the tourism industry in the area to be planned.

[0062] In an alternative embodiment, the preprocessing of the multi-source reference data includes:

[0063] Import the multi-source reference data into a geographic information platform, and use a spatial correction tool to perform coordinate matching and elevation matching on the multi-source reference data;

[0064] Normalize the matched multi-source reference data according to a pre-set normalization standard.

[0065] Specifically, import the multi-source reference data into a professional geographic information platform for processing, such as ArcGIS, and use a spatial correction tool to perform coordinate matching and elevation matching on the multi-source reference data. Coordinate matching can ensure the precise positioning of data in the geographical space, and elevation matching takes into account the influence of terrain undulation on data analysis. Coordinate matching and elevation matching can make the multi-source reference data accurate and consistent in space.

[0066] The multi-source reference data after matching is unified in data format and transformed according to a preset normalization standard. Exemplarily, the tourism scenic area data is transformed into point data of the coordinates of the entrances and exits of the scenic area, the cultural resource point data is transformed into point or surface data of the spatial coordinates where it is located, the ecological resource point data is transformed into surface data, the transportation hub data is transformed into point data of the spatial coordinates where it is located, the population distribution data is transformed into surface data summarized by township administrative boundaries, the data such as rural industrial parks and service industry agglomeration areas is transformed into surface data, and the road network data is transformed into segmented line data. Through data normalization, different types of data can be made to tend to be consistent in format and content, providing a reliable data basis for subsequent resource evaluation and road evaluation.

[0067] In an alternative embodiment, the construction process of the resource evaluation model includes:

[0068] Construct resource evaluation indicators based on the tourism resource data, the cultural resource data, the ecological resource data, the transportation resource data, the population resource data, and the industrial resource data; wherein, the resource evaluation indicators include tourism resource evaluation indicators, cultural resource evaluation indicators, ecological resource evaluation indicators, transportation resource evaluation indicators, population resource evaluation indicators, and industrial resource evaluation indicators;

[0069] Assign corresponding resource evaluation indicator weights to each of the resource evaluation indicators; wherein, the resource evaluation weights include tourism resource evaluation indicator weights, cultural resource evaluation indicator weights, ecological resource evaluation indicator weights, transportation resource evaluation indicator weights, population resource evaluation indicator weights, and industrial resource evaluation indicator weights.

[0070] Specifically, based on tourism resource data, cultural resource data, ecological resource data, transportation resource data, population resource data, and industrial resource data, tourism resource evaluation indicators, cultural resource evaluation indicators, ecological resource evaluation indicators, transportation resource evaluation indicators, population resource evaluation indicators, and industrial resource evaluation indicators are constructed. The tourism resource evaluation indicators are used to measure the integration relationship between roads and tourism resources, the cultural resource evaluation indicators are used to measure the integration relationship between roads and cultural resources, the ecological resource evaluation indicators are used to measure the integration relationship between roads and ecological resources, the transportation resource evaluation indicators are used to measure the integration relationship between roads and transportation resources, the population resource evaluation indicators are used to measure the integration relationship between roads and population resources, and the industrial resource evaluation indicators are used to measure the integration relationship between roads and industrial resources. For each resource point, grading and scoring are carried out according to the level or value of the resource point. Exemplarily, the score range can be set as [1, 10]. For tourism resource points, according to factors such as the popularity of tourist attractions, the number of tourists, and the degree of facility perfection, tourist attractions are divided into different levels and corresponding scores are assigned. For cultural resource points, corresponding scores are assigned according to factors such as the cultural value, historical significance, and the number of visitors of cultural sites, museums, art exhibitions, etc. For ecological resource points, corresponding scores are assigned according to factors such as the ecological importance, biodiversity, and landscape value of nature reserves, scenic spots, wetland parks, etc. For transportation resource points, corresponding scores are assigned according to factors such as the traffic convenience and radiation range of transportation hubs (such as airports, railway stations, highway entrances, etc.). For population resource points, corresponding scores are assigned according to factors such as population density, population structure, and consumption ability. For industrial resource points, corresponding scores are assigned according to factors such as the output value, number of employees, and technological innovation level of industrial parks.

[0071] It can be understood that roads closer to resources such as tourism, culture, ecology, transportation, population, and industry are more advantageous for building tourism roads. The higher the level of the surrounding resources, the closer the distance to the road, and the more resource points the road connects, the greater the resource advantages obtained by the road.

[0072] Furthermore, by integrating methods such as literature research, the Delphi method, and the analytic hierarchy process, according to the importance degree of resource types for tourism road network planning, corresponding resource evaluation index weights are assigned to each resource evaluation index, including tourism resource evaluation index weight, cultural resource evaluation index weight, ecological resource evaluation index weight, transportation resource evaluation index weight, population resource evaluation index weight, and industrial resource evaluation index weight. Exemplarily, tourism resources are core elements in tourism road network planning, and a relatively high weight can be assigned to them to ensure a certain balance in the weight distribution of various resource evaluation indicators and flexibly adjust the weights of various resource evaluation indicators to provide a scientific basis for tourism road network planning.

[0073] In an alternative embodiment, the resource evaluation of the road segment according to the pre-established resource evaluation model to obtain the total resource evaluation score includes:

[0074] Each of the road segments is evaluated using each of the resource evaluation indicators to obtain the first resource evaluation score for each road segment; wherein the first resource evaluation score includes the first tourism resource evaluation score, the first cultural resource evaluation score, the first ecological resource evaluation score, the first traffic resource evaluation score, the first population resource evaluation score, and the first industrial resource evaluation score;

[0075] The Gaussian distance attenuation model is used to map the first resource evaluation score onto the road segment to obtain the second resource evaluation score;

[0076] Based on the second resource evaluation score and the resource evaluation indicator weights, the total resource evaluation score for each road segment is calculated.

[0077] Specifically, each road segment is individually evaluated using each resource evaluation indicator to obtain the first resource evaluation score for each road segment, including the first tourism resource evaluation score, the first cultural resource evaluation score, the first ecological resource evaluation score, the first traffic resource evaluation score, the first population resource evaluation score, and the first industrial resource evaluation score. The first resource evaluation score of each road segment is used as the input, and the Gaussian distance attenuation model is used to map it onto the road segment. According to the distance between the road segment and the resource point, the second resource evaluation score of each road segment is calculated. Based on the second resource evaluation score and the resource evaluation indicator weights, the total resource evaluation score of each road segment is calculated. Specifically, the second resource evaluation score of each road segment is multiplied by the corresponding resource evaluation indicator weight and then divided by the length of the road segment to obtain the total resource evaluation score of the road segment, with the unit of (score / meter). Exemplarily, see Figure 2 As shown, it is a schematic diagram of the total resource evaluation score. This value characterizes the resource value potential per unit length of the road segment. The higher the value, the higher the resource level and value around the road segment, and the more suitable it is for planning and construction as an all-for-one tourism road network.

[0078] In an alternative embodiment, the road evaluation of the road segment according to the pre-established road evaluation model to obtain the road evaluation coefficient includes:

[0079] The road network spatial line position data and the road current construction data are obtained from the road network data;

[0080] According to the road network spatial line position data, a spatial syntax tool is used to calculate the road network accessibility and the road network concentration degree of each road segment, and based on the road network accessibility and the road network concentration degree, the road network accessibility coefficient and the road network concentration degree coefficient are obtained;

[0081] Evaluate the road segment according to the preset road construction standard, and obtain the road construction status coefficient based on the evaluation result.

[0082] Exemplarily, refer to Figure 3 As shown, it is a schematic diagram of the road evaluation coefficient of the present invention, including the road network accessibility coefficient, the road network concentration coefficient, and the road construction status coefficient.

[0083] Specifically, first obtain the road network spatial line position data and the road current construction data from the road network data, use the space syntax tool to analyze the road network spatial line position data, calculate the road network accessibility of each road segment. The road network accessibility reflects the accessibility of the road segment in the urban road network, that is, the connection convenience and accessibility between the road segment and other roads. Similarly, use the space syntax tool to calculate the road network concentration of each road segment. The road network concentration reflects the centrality of the road segment in the urban road network, that is, the importance of the road segment in the urban traffic network. According to the ranking ratio of the road network accessibility and the road network concentration in the whole region, assign a modification coefficient to it. Exemplarily, the modification coefficient interval can be set to [0.8, 1.2]. The higher the accessibility and concentration of the road segment, the larger the corresponding modification coefficient value. When the road network accessibility and the road network concentration are at the average level of the whole region, the coefficient is 1.0. The lower the road network accessibility, the closer the modification coefficient is to 0.8. The higher the road network accessibility, the closer the modification coefficient is to 1.2. Similarly, the lower the road network concentration, the closer the modification coefficient is to 0.8. The higher the road network concentration, the closer the modification coefficient is to 1.2.

[0084] Evaluate the quality of the road segment according to the preset road construction standard, and assign a modification coefficient based on the evaluation result. Exemplarily, the modification coefficient interval can be set to [0.8, 1.2]. The better the construction foundation of the road segment, the larger the corresponding modification coefficient value. When the road quality and the landscape are at the average level of the whole region, the modification coefficient is 1.0. The worse the road quality and the landscape, the closer the modification coefficient is to 0.8. The better the road quality and the landscape, the closer the modification coefficient is to 1.2.

[0085] In an alternative embodiment, calculating the evaluation total score of each road segment based on the total resource evaluation score and the road evaluation coefficient includes:

[0086] Multiply the total resource evaluation score by the road network accessibility coefficient, the road network concentration coefficient, and the road construction status coefficient to obtain the evaluation total score of each road segment.

[0087] Specifically, multiply the total resource evaluation score of each road segment by the road network accessibility coefficient, the road network concentration coefficient, and the road construction status coefficient to obtain the evaluation total score of each road segment.

[0088] In an alternative embodiment, determining the tourism road network of the area to be planned based on the total evaluation score includes:

[0089] Sort all road segments in descending order of the total evaluation score to obtain a first road segment sequence;

[0090] Select several road segments from the first road segment sequence in order as the main lines of the tourism road network, so that the total length of the main lines of the tourism road network meets a preset main line length value range, and record all the remaining road segments as a second road segment sequence;

[0091] Select several road segments from the second road segment sequence in order as the branch lines of the tourism road network, so that the resource point coverage rate of the branch lines of the tourism road network meets a preset resource point coverage rate range;

[0092] Integrate the main lines of the tourism road network and the branch lines of the tourism road network to obtain the tourism road network of the area to be planned.

[0093] Exemplarily, refer to Figure 4 and Figure 5 , which are respectively the schematic diagram of the main lines of the tourism road network and the schematic diagram of the branch lines of the tourism road network of the present invention.

[0094] Specifically, sort all road segments in descending order of the total evaluation score to obtain a first road segment sequence. This sequence reflects the importance of road segments in the tourism road network planning. According to the actual situation of the area to be planned and the goal of the tourism road network planning, preset a main line length value range. This range should be able to cover the main tourist attractions and resource points without being too long or short. Select several road segments from the first road segment sequence in order as the main lines of the tourism road network. When selecting, ensure that the total length of the selected road segments falls within the preset main line length value range, and record all the road segments that are not selected as the main lines of the tourism road network as a second road segment sequence for subsequent selection of branch lines.

[0095] According to the distribution of resource points in the area to be planned and the goal of the tourism road network planning, preset a resource point coverage rate range. This range should be able to ensure that the branch lines of the tourism road network can cover as many important resource points as possible. Select several road segments from the second road segment sequence in order as the branch lines of the tourism road network. When selecting, ensure that the number or proportion of resource points covered by the selected road segments meets the preset resource point coverage rate range, and integrate the selected main lines of the tourism road network and the branch lines of the tourism road network to obtain the final tourism road network of the area to be planned.

[0096] In a second aspect, an embodiment of the present invention provides a tourism road network planning device. Refer to Figure 2 , which is a schematic structural diagram of an embodiment of a tourism road network planning device provided by the present invention.

[0097] As shown in Figure 2 , the device includes:

[0098] A data acquisition module 21, configured to acquire multi-source reference data of the area to be planned and preprocess the multi-source reference data; wherein, the multi-source reference data includes tourism resource data, cultural resource data, ecological resource data, transportation resource data, population resource data, industrial resource data, and road network data;

[0099] A data processing module 22, configured to obtain all road segments of the area to be planned according to the road network data;

[0100] A road segment evaluation module 23, configured to perform resource evaluation on the road segments according to a pre-established resource evaluation model to obtain a total resource evaluation score, perform road evaluation on the road segments according to a pre-established road evaluation model to obtain a road evaluation coefficient, and calculate an evaluation score for each road segment based on the total resource evaluation score and the road evaluation coefficient;

[0101] A tourism road network generation module 24, configured to determine the tourism road network of the area to be planned based on the evaluation score.

[0102] In an optional implementation manner, the data acquisition module 21 is further configured to:

[0103] Import the multi-source reference data into a geographic information platform, and perform coordinate matching and elevation matching on the multi-source reference data by using a spatial correction tool;

[0104] Normalize the matched multi-source reference data according to a pre-set normalization standard.

[0105] In an optional implementation manner, the construction process of the resource evaluation model includes:

[0106] Construct resource evaluation indicators according to the tourism resource data, the cultural resource data, the ecological resource data, the transportation resource data, the population resource data, and the industrial resource data; wherein, the resource evaluation indicators include tourism resource evaluation indicators, cultural resource evaluation indicators, ecological resource evaluation indicators, transportation resource evaluation indicators, population resource evaluation indicators, and industrial resource evaluation indicators;

[0107] Assign corresponding resource evaluation indicator weights to each of the resource evaluation indicators; wherein, the resource evaluation weights include tourism resource evaluation indicator weights, cultural resource evaluation indicator weights, ecological resource evaluation indicator weights, transportation resource evaluation indicator weights, population resource evaluation indicator weights, and industrial resource evaluation indicator weights.

[0108] In an alternative embodiment, the road segment evaluation module 23 is further configured to:

[0109] Evaluate each road segment using each of the resource evaluation indicators to obtain a first resource evaluation score for each road segment; wherein, the first resource evaluation score includes a first tourism resource evaluation score, a first cultural resource evaluation score, a first ecological resource evaluation score, a first transportation resource evaluation score, a first population resource evaluation score, and a first industrial resource evaluation score;

[0110] Map the first resource evaluation score to the road segment using a Gaussian distance decay model to obtain a second resource evaluation score;

[0111] Calculate the total resource evaluation score for each road segment based on the second resource evaluation score and the resource evaluation indicator weights.

[0112] In an alternative embodiment, the road segment evaluation module 23 is further configured to:

[0113] Obtain road network spatial line position data and road current construction data from the road network data;

[0114] According to the road network spatial line position data, use a spatial syntax tool to calculate the road network accessibility and road network concentration of each road segment, and obtain a road network accessibility coefficient and a road network concentration coefficient based on the road network accessibility and the road network concentration;

[0115] Evaluate the road segment according to a preset road construction standard, and obtain a road construction current situation coefficient according to the evaluation result.

[0116] In an alternative embodiment, the road segment evaluation module 23 is further configured to:

[0117] Multiply the total resource evaluation score by the road network accessibility coefficient, the road network concentration coefficient, and the road construction current situation coefficient to obtain an evaluation total score for each road segment.

[0118] In an alternative embodiment, the tourism road network generation module 24 is further configured to:

[0119] Sort all road segments in descending order according to the evaluation total score to obtain a first road segment sequence;

[0120] Select several road segments from the first road segment sequence in order as the main line of the tourism road network, so that the total length of the main line of the tourism road network meets a preset main line length value range, and record all the remaining road segments as a second road segment sequence;

[0121] Select several road segments in sequence from the second road segment sequence as the branch lines of the tourism road network, so that the resource point coverage rate of the tourism road network branch lines meets the preset resource point coverage rate range;

[0122] Integrate the main line of the tourism road network and the branch lines of the tourism road network to obtain the tourism road network of the area to be planned.

[0123] In a third aspect, an embodiment of the present invention provides an electronic device. Refer to Figure 7 As shown, it is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

[0124] As Figure 7 shown, the device includes:

[0125] A memory 31 for storing a computer program;

[0126] A processor 32 for executing the computer program;

[0127] Wherein, when the processor 32 executes the computer program, it implements the tourism road network planning method described in any of the above embodiments.

[0128] Exemplarily, the computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory 31 and executed by the processor 32 to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the electronic device.

[0129] The processor 32 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0130] The memory 31 can be used to store the computer programs and / or modules. By running or executing the computer programs and / or modules stored in the memory 31 and calling the data stored in the memory 31, the processor 32 realizes various functions of the electronic device. The memory 31 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory 31 may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0131] It should be noted that the above-mentioned electronic device includes, but is not limited to, a processor and a memory. Those skilled in the art can understand that Figure 7 The structural schematic diagram is only an example of the above-mentioned electronic device, and does not constitute a limitation on the electronic device. It may include more components than shown in the figure, or combine some components, or different components.

[0132] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium storing a computer program, and when the computer program is executed, the tourism road network planning method described in any of the above embodiments is realized.

[0133] It should be understood that all or part of the processes of realizing the above-mentioned tourism road network planning method of the present invention can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned tourism road network planning method can be realized. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0134] The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. It should be pointed out that for those skilled in the art, several equivalent obvious variations and / or equivalent substitutions can be made without departing from the technical principles of the present invention. These obvious variations and / or equivalent substitutions should also be regarded as the protection scope of the present invention.

Claims

1. A tourism road network planning method, characterized in that: include: Collect multi-source reference data of the area to be planned, and pre-process the multi-source reference data; wherein the multi-source reference data includes tourism resource data, cultural resource data, ecological resource data, transportation resource data, population resource data, industrial resource data and road network data; Acquire all road segments in the area to be planned according to the road network data; Performing resource evaluation on the road segment according to a pre-established resource evaluation model to obtain a total resource evaluation score, performing road evaluation on the road segment according to a pre-established road evaluation model to obtain a road evaluation coefficient, and calculating a total evaluation score for each road segment based on the total resource evaluation score and the road evaluation coefficient; Based on the total evaluation score, a tourism road network of the area to be planned is determined.

2. The tourism road network planning method according to claim 1, characterized in that: The preprocessing of the multi-source reference data includes: Importing the multi-source reference data into a geographic information platform, and using a spatial correction tool to perform coordinate matching and elevation matching on the multi-source reference data; The matched multi-source reference data are normalized according to a pre-set normalization standard.

3. The tourism road network planning method according to claim 1, characterized in that: The construction process of the resource evaluation model includes: Constructing resource evaluation indicators based on the tourism resource data, the cultural resource data, the ecological resource data, the transportation resource data, the population resource data and the industrial resource data; wherein the resource evaluation indicators include tourism resource evaluation indicators, cultural resource evaluation indicators, ecological resource evaluation indicators, transportation resource evaluation indicators, population resource evaluation indicators and industrial resource evaluation indicators; Assign a corresponding resource evaluation index weight to each of the resource evaluation indicators; wherein the resource evaluation weights include tourism resource evaluation index weights, cultural resource evaluation index weights, ecological resource evaluation index weights, transportation resource evaluation index weights, population resource evaluation index weights and industrial resource evaluation index weights.

4. The method for planning a tourism road network as claimed in claim 3, characterized in that: The resource evaluation of the road segment is performed according to the pre-established resource evaluation model to obtain a total resource evaluation score, including: Each of the resource evaluation indicators is used to evaluate each of the road segments to obtain a first resource evaluation score for each of the road segments; wherein the first resource evaluation score includes a first tourism resource evaluation score, a first cultural resource evaluation score, a first ecological resource evaluation score, a first transportation resource evaluation score, a first population resource evaluation score, and a first industrial resource evaluation score; Mapping the first resource evaluation score to the road segment using a Gaussian distance decay model to obtain a second resource evaluation score; Based on the second resource evaluation score and the resource evaluation index weight, a total resource evaluation score of each of the road segments is calculated.

5. The tourism road network planning method according to claim 1, characterized in that: The road evaluation is performed on the road segment according to the pre-established road evaluation model to obtain a road evaluation coefficient, including: Acquire road network spatial line position data and road current construction data from the road network data; According to the road network spatial line position data, using space syntax tools, calculate the road network accessibility and road network concentration of each road segment, and obtain the road network accessibility coefficient and road network concentration coefficient based on the road network accessibility and the road network concentration; The road section is evaluated according to a preset road construction standard, and a road construction status coefficient is obtained according to the evaluation result.

6. The method for planning a tourism road network according to claim 5, characterized in that: The step of calculating the total evaluation score of each road segment based on the total resource evaluation score and the road evaluation coefficient includes: The total resource evaluation score is multiplied by the road network accessibility coefficient, the road network concentration coefficient and the road construction status coefficient to obtain the total evaluation score of each road section.

7. The tourism road network planning method according to claim 1, characterized in that: Determining the tourism road network of the area to be planned based on the total evaluation score includes: Sorting all road segments according to the total evaluation scores from high to low to obtain a first road segment sequence; Selecting a number of road segments from the first road segment sequence in order as the main lines of the tourist road network, so that the total length of the main lines of the tourist road network meets a preset main line length value range, and recording all remaining road segments as the second road segment sequence; Selecting a plurality of road segments from the second road segment sequence in order as tourist road network branches, so that the resource point coverage rate of the tourist road network branches meets a preset resource point coverage rate range; The main line of the tourist road network and the branch lines of the tourist road network are integrated to obtain the tourist road network of the area to be planned.

8. A tourism road network planning device, characterized in that: include: A data collection module, used to collect multi-source reference data of the area to be planned and pre-process the multi-source reference data; wherein the multi-source reference data includes tourism resource data, cultural resource data, ecological resource data, transportation resource data, population resource data, industrial resource data and road network data; A data processing module, used for acquiring all road segments in the area to be planned according to the road network data; A road segment evaluation module, configured to perform resource evaluation on the road segment according to a pre-established resource evaluation model to obtain a total resource evaluation score, perform road evaluation on the road segment according to a pre-established road evaluation model to obtain a road evaluation coefficient, and calculate a total evaluation score for each road segment based on the total resource evaluation score and the road evaluation coefficient; A tourism road network generation module is used to determine the tourism road network of the area to be planned based on the total evaluation score.

9. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to execute the computer program; Wherein, when the processor executes the computer program, the tourism road network planning method as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed, the tourism road network planning method according to any one of claims 1 to 7 is implemented.

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