CN105913138A - A method for automatically generating scenic tour lines in urban waterfront areas - Google Patents

Abstract

The invention discloses a method for automatically generating a sightseeing tour line in an urban waterfront area, which comprises the following steps: 1. Establishing a three-dimensional spatial form database for an urban waterfront area; 2. Establishing a mobile phone signaling database for an urban waterfront area; 3. Signaling identifies crowd activity behavior patterns in urban waterfront areas, establishes various crowd activity databases, and connects them with 3D vector maps; 4. Establishes a viewing point accessibility analysis module, and connects with crowd activity databases and 3D vector maps; 5. , Establish the urban waterfront tour line generation module, and automatically generate the waterfront sightseeing tour line. Based on real-time mobile phone signaling data, the present invention identifies crowd activity patterns in urban waterfront areas, establishes various crowd activity databases, analyzes the accessibility of scenic spots in waterfront planning, and automatically generates waterfront scenic spots. It is also conducive to the research on crowd activities in the urban waterfront area and plays a guiding role in the planning and design of the scenic tour line in the waterfront area.

Description

A method for automatically generating scenic tour lines in urban waterfront areas

technical field

The invention belongs to the field of formulating design schemes for sightseeing tour lines in urban waterfront areas, in particular to an automatic generation method for sightseeing tour lines in urban waterfront areas with optimal viewing accessibility.

Background technique

The high-quality life of contemporary cities relies more and more on waterfront areas, and the significance of waterfront areas to urban landscapes is also becoming greater and greater. As the main part of urban public open space, urban waterfront area is an important space to create a characteristic image of the city and enhance the vitality of the city, and it is increasingly concerned and valued by urban planners.

At present, the planning of sightseeing routes in urban waterfront areas mostly depends on the designer's personal visual aesthetic standards, and the design techniques mostly follow the rules of plane geometric perspective. Because designers have different grasp of scale and personal preferences, the planning is not accurate, objective and scientific. In particular, these tour routes planned by designers are often inconsistent with the real urban citizen activity rules and action streamlines. At the same time, designers are also unable to design matching sightseeing routes according to the behavior patterns of users in urban waterfront areas. In addition, once the landscape tour route design plan for the urban waterfront area is finalized, it will basically not change, and it is impossible to adjust different types of landscapes and set up different numbers of service facilities according to different time periods.

Therefore, it is very necessary to establish an urban waterfront sightseeing route method that is based on the characteristics of tourists' activities itself, based on the optimal viewing accessibility, and can be adjusted in time according to different time periods.

Contents of the invention

Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a mobile phone signaling data based on real-time changes to identify the behavior patterns of crowd activities in urban waterfront areas, establish various crowd activity databases, and plan waterfront areas. Analyze the accessibility of the scenic spots in the waterfront area, and automatically generate the scenic tour line of the waterfront area; it is also conducive to the research on crowd activities in the urban waterfront area and plays a guiding role in the planning and design of the scenic tour line in the waterfront area. A method for automatically generating scenic tour routes in urban waterfront areas with optimal accessibility.

Technical solution: In order to achieve the above purpose, the present invention provides a method for automatically generating a sightseeing tour line in urban waterfront areas, including the following steps:

Step 1: Establish a three-dimensional spatial form database of urban waterfront areas;

Step 2: Establish a mobile phone signaling database in urban waterfront areas;

Step 3: Based on mobile phone signaling, identify crowd activity patterns in urban waterfront areas, establish various crowd activity databases, and connect them to 3D vector maps;

Step 4: Establish a viewing point accessibility analysis module and connect it with the crowd activity database and the 3D vector map;

Step 5: Establish the urban waterfront tour route generation module to automatically generate the waterfront sightseeing tour route.

The present invention identifies crowd activity patterns in urban waterfront areas through mobile phone signaling data that changes in real time, and establishes various crowd activity databases to analyze the accessibility of scenic spots in waterfront area planning, thereby automatically generating waterfront area scenic spots. Scenic tour line. By using this method, it can be beneficial to the research on crowd activities in urban waterfront areas and play a guiding role in the planning and design of waterfront landscape tour routes. As a result, the city waterfront scenic tour line can be more in line with people's living habits, more in line with people's actual needs and preferences, and more popular.

Among them, the specific steps for establishing the three-dimensional spatial form database of the urban waterfront area in Step 1 are as follows:

Step 1.1: Use AutoCAD software to delineate the boundary line of the block range on the vector topographic map of the urban waterfront area, and number the block within the range of each block;

Step 1.2: Convert the vector files into dxf format uniformly and import them into ArcGIS to establish a three-dimensional spatial form database of urban waterfront areas.

Among them, the specific steps for establishing the mobile phone signaling database in the urban waterfront area in the second step are as follows:

Step 2.1: according to the longitude and latitude coordinates of the mobile phone user positioning data, match the mobile phone user positioning data into the corresponding base station cell, establish the affiliation relationship between each cell phone user positioning data and the base station cell, and obtain the mobile phone user positioning data after matching;

Step 2.2: Based on the above-mentioned mobile phone positioning data, taking the time day as the basic unit, the matching mobile phone user positioning data at each time is combined and counted according to the time day, and the overall data research database of each time day is obtained;

Step 2.3: Using the Thiessen polygon technology method in ArcGIS software, the number of mobile phone users in each base station is distributed in equal proportions according to the land area of the plot, so that the positioning data of mobile phone users and the plot data are matched.

Among them, the specific steps for identifying the behavior patterns of crowds in the urban waterfront area in Step 3 are as follows:

Step 3.1: Use the activity time as the standard to identify crowd behavior in the waterfront area, and define the active crowd from 5:00 am to 8:00 am as the morning exercise crowd; the daytime active crowd from 8:00 am to 19:00 pm is the recreational crowd; The crowd from 19:00 to 21:00 is the night crowd; the crowd from 5:00 to 8:00 is the morning exercise crowd, the daytime crowd from 8:00 to 19:00 is the recreational crowd and the afternoon The activity crowd from 19:00 to 21:00 pm is divided into three time periods for night tourists to record the activity time, scope and route of the three groups of people in more detail, so as to better meet the range of activities and personal preferences of various groups of people.

Step 3.2: Use the ArcGIS platform to integrate the measured data of mobile phone positioning, and use the spatial analysis tool to distribute the population density of the urban waterfront area in each time period in step 3.1 through the contour feature;

Step 3.3: Use the buffer function in ArcGIS software to assign the crowd density, and superimpose the assignment obtained by the buffer function on each plot in the waterfront area through the spatial join function in ArcGIS software to obtain the evaluation layer.

Among them, the specific steps of establishing the view point accessibility analysis module in step 4 are as follows:

Step 4.1: Take the geometric center of the planar projection of each viewing point in the plan, use AutoCAD software to draw each point, and uniformly convert the vector file into dxf format and import it into Depthmap software;

Step 4.2: Use AutoCAD software to draw the centerline of roads in the waterfront area, convert the vector files into dxf format and import them into Depthmap software.

Among them, the specific steps for establishing the urban waterfront tour line generation module in step five are as follows:

Step 5.1: Number all planned viewing spots;

Step 5.2: Select the route with the highest crowd density as the waterfront viewing route;

Step 5.3: Use the crowd activity database in the three time periods of morning exercise, recreation, and night outing respectively, and perform the operation of the above step 5.2, so as to obtain three scenic tour lines of the city's waterfront area;

Step 5.4: Merge the overlapping parts of the three urban waterfront viewing tour lines to form a dynamic urban sightseeing tour line;

Step 5.5: Use the output function of the Depthmap software to connect the viewing line layer with the city's three-dimensional spatial form and crowd activity database.

The three-dimensional spatial form database of the urban waterfront described in step 1 includes: building density, building height, plot ratio, green area ratio, location data of service facilities, land plot nature, shoreline type, vegetation coverage rate and impermeable surface area ratio A total of 9 urban spatial form layers.

In step 5.2, the specific steps for selecting the route with the highest crowd density as the waterfront viewing route are as follows:

Step 5.2.1: Enter all viewpoints 1...i...n;

Step 5.2.2: extract any point i from all the entered viewpoints;

Step 5.2.3: Use Depthmap software to calculate the global depth of origin i and select the point with the lowest global depth as j;

Step 5.2.4: If the number of j is greater than 1, compare the crowd density of the block where j is located, select the point j with the highest crowd density in the block where j is connected to point i, and output the tour section; if the number of j is not greater than 1 , then: directly connect point i to point j; then remove point i and return to step 5.2.2.

Beneficial effect: compared with the prior art, the present invention has the following advantages:

(1), the present invention identifies the crowd activity patterns in urban waterfront areas through mobile phone signaling data that changes in real time, and establishes various crowd activity databases to analyze the accessibility of viewing spots in the planning of waterfront areas, thereby automatically generating Scenic tour of the waterfront. By using this method, it can be beneficial to the research on crowd activities in urban waterfront areas and play a guiding role in the planning and design of waterfront landscape tour routes. As a result, the city waterfront scenic tour line can be more in line with people's living habits, more in line with people's actual needs and preferences, and more popular.

(2) The group of active people from 5:00 am to 8:00 am is the morning exercise group, the daytime active group from 8:00 am to 19:00 pm is the recreational group, and the active group from 19:00 pm to 21:00 pm is Three time periods for night tourists to record in more detail the time and scope of activities and routes of the three groups of people, which can better meet the range of activities and personal preferences of various groups of people.

(3) Changed the design plan of the landscape tour line in the urban waterfront area. Once finalized, the status quo cannot be changed. According to the feedback of a certain period of time, different types of landscapes and different numbers of service facilities can be scientifically adjusted in future design revisions. facility.

Description of drawings

Fig. 1 is method flowchart of the present invention;

Fig. 2 is the plot ratio figure of the land use of the embodiment of the present invention;

Fig. 3 is a Kriging schematic diagram of crowd density in a waterfront area at a certain moment according to an embodiment of the present invention;

Fig. 4 is a schematic diagram of a sightseeing tour line in a waterfront area according to an embodiment of the present invention;

Fig. 5 is a flowchart of step 5.2 of the present invention.

detailed description

The technical solution of the present invention will be described in detail below in conjunction with the case of automatically generating a sightseeing tour line on the west bank of Huangpu River in Shanghai based on the optimal viewing accessibility and the accompanying drawings, including the following steps:

1) Establish a three-dimensional spatial form database on both sides of the Huangpu River and surrounding areas in Shanghai;

1.1) Vector graphics and related coordinate data of the current land use on both sides of the Huangpu River and surrounding areas in Shanghai obtained according to actual surveying and mapping;

1.2) Use AutoCAD software to delineate the boundaries of the block boundaries on the vector topographic map of the Huangpu River and surrounding areas in Shanghai, and number the blocks within the range of each block, starting from 01;

1.3) Uniformly convert vector files into dxf format and import them into ArcGIS to establish a 3D spatial morphology database on both sides of the Huangpu River in Shanghai. Urban spatial form layers include: building density, building height, floor area ratio, green area ratio, location data of service facilities, land parcel nature, shoreline type, vegetation coverage and impervious surface area ratio, a total of 9 layers.

2) Establish a mobile phone signaling database on both sides of the Huangpu River and surrounding areas in Shanghai;

2.1) According to the longitude and latitude coordinates of the mobile phone user positioning data, the mobile phone user positioning data is matched in the corresponding base station community in Shanghai, the subordination relationship between each mobile phone user positioning data and the base station community is established, and the mobile phone user positioning data after matching is obtained;

2.2) Based on the above two mobile phone positioning databases, taking time day as the basic unit, the mobile phone user positioning data after matching at each moment are combined and counted according to time day, and the overall data research database of 9 time days is obtained;

2.3) Using the Thiessen polygon technology method in ArcGIS software, the number of mobile phone users in each base station is distributed in equal proportions according to the land area of the plot, so that the mobile phone user positioning data matches the plot data.

3) Identify crowd activity patterns on both sides of the Huangpu River in Shanghai based on mobile phone signaling, establish various crowd activity databases, and link them to 3D vector maps;

3.1) Use the activity time as the standard to identify crowd behavior in the waterfront area: define the active crowd as morning exercise crowd from 5:00a.m. to 8:00a.m.; Recreation crowds during the daytime activities; night tour crowds from 19:00p.m. to 21:00p.m.

3.2) Use the ArcGIS platform to integrate the measured data of mobile phone positioning, and use spatial analysis tools to distribute the population density in urban waterfront areas in each time period as contour lines;

3.3) Use the buffer function in the ArcGIS software to assign values to the crowd density, and superimpose the values obtained by the buffer function on each plot in the waterfront area through the spatial join function in the ArcGIS software to obtain an evaluation layer.

4) Establish a viewing point accessibility analysis module, which is connected to the crowd activity database and the three-dimensional vector map of the waterfront;

4.1) Take the geometric center of the planar projection of each viewing point in the plan, use AutoCAD software to draw each point, and uniformly convert the vector file into dxf format and import it into Depthmap software;

4.2) Use AutoCAD software to draw the centerline of roads in the waterfront area, and uniformly convert the vector files into dxf format and import them into Depthmap software.

5) Establish a sightseeing tour line generation module on both sides of the Huangpu River in Shanghai to automatically generate a sightseeing tour line in the waterfront area.

5.1) Number all planned viewing spots, starting from 01;

5.2) Select any point i in the viewing point as the origin, use the Depthmap software to calculate the global depth of the origin i, and select the point j with the lowest global depth. When the number of j is greater than 1, compare the crowd density of the plot where j is located, and select a point with a high population in the plot to connect to point i; when the number of j is equal to 1, directly connect the two points. Continue to carry out the above operations with point j as the origin until all viewing spots are exhausted, and the viewing tour line of the waterfront area is obtained.

5.3) Use the morning exercise, leisure, and night crowd activity databases respectively to perform the operation in 5.2) above, and obtain three scenic tour lines on both sides of the Huangpu River in Shanghai.

5.4) Merge the overlapping parts of the three sightseeing tour lines on both sides of the Huangpu River in Shanghai to form a dynamic urban sightseeing tour line;

5.5) Use the output function of Depthmap software to connect the viewing line layer with the city's three-dimensional spatial form and crowd activity database.

The above is only a preferred embodiment of the present invention, it should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications are also possible. It should be regarded as the protection scope of the present invention.

Claims (8)

1. A method for automatically generating a city waterfront viewing tour line, characterized in that it comprises the following steps: Step 1: Establish a three-dimensional spatial form database of urban waterfront areas; Step 2: Establish a mobile phone signaling database in urban waterfront areas; Step 3: Based on mobile phone signaling, identify crowd activity patterns in urban waterfront areas, establish various crowd activity databases, and connect them to 3D vector maps; Step 4: Establish a viewing point accessibility analysis module and connect it with the crowd activity database and the 3D vector map; Step 5: Establish the urban waterfront tour route generation module to automatically generate the waterfront sightseeing tour route. 2. a kind of city waterfront area sightseeing line automatic generation method according to claim 1, is characterized in that: in described step one, the specific steps about setting up city waterfront area three-dimensional spatial form database are as follows: Step 1.1: Use AutoCAD software to delineate the boundary line of the block range on the vector topographic map of the urban waterfront area, and number the block within the range of each block; Step 1.2: Convert the vector files into dxf format uniformly and import them into ArcGIS to establish a three-dimensional spatial form database of urban waterfront areas. 3. A method for automatically generating a city waterfront viewing route according to claim 1, characterized in that: according to claim 1, a method for automatically generating a city waterfront viewing route, wherein In that: the specific steps about setting up the mobile phone signaling database in the urban waterfront area in the step 2 are as follows: Step 2.1: according to the longitude and latitude coordinates of the mobile phone user positioning data, match the mobile phone user positioning data into the corresponding base station cell, establish the affiliation relationship between each cell phone user positioning data and the base station cell, and obtain the mobile phone user positioning data after matching; Step 2.2: Based on the above-mentioned mobile phone positioning data, taking the time day as the basic unit, the matching mobile phone user positioning data at each time is combined and counted according to the time day, and the overall data research database of each time day is obtained; Step 2.3: Using the Thiessen polygon technology method in ArcGIS software, the number of mobile phone users in each base station is distributed in equal proportions according to the land area of the plot, so that the positioning data of mobile phone users and the plot data are matched. 4. according to the described a kind of urban waterfront sightseeing tour line automatic generation method described in one of claim 1 to 3, it is characterized in that: the concrete steps of identifying urban waterfront crowd activity behavior pattern in described step 3 are as follows: Step 3.1: Use the activity time as the standard to identify the behavior of the crowd in the waterfront area, and define the active crowd from 5:00 am to 8:00 am as the morning exercise crowd; The crowd from :00 to 21:00 is night crowd; Step 3.2: Use the ArcGIS platform to integrate the measured data of mobile phone positioning, and use the spatial analysis tool to distribute the population density of the urban waterfront area in each time period in step 3.1 through the contour feature; Step 3.3: Use the buffer function in ArcGIS software to assign the crowd density, and superimpose the assignment obtained by the buffer function on each plot in the waterfront area through the spatial join function in ArcGIS software to obtain the evaluation layer. 5. a kind of method for automatically generating the sight-seeing tour line of urban waterfront area according to claim 4, it is characterized in that: the specific steps of setting up the view point accessibility analysis module in the described step 4 are as follows: Step 4.1: Take the geometric center of the planar projection of each viewing point in the plan, use AutoCAD software to draw each point, and uniformly convert the vector file into dxf format and import it into Depthmap software; Step 4.2: Use AutoCAD software to draw the centerline of roads in the waterfront area, convert the vector files into dxf format and import them into Depthmap software. 6. A kind of method for automatically generating a city waterfront scenic tour line according to claim 1, characterized in that: the specific steps of setting up a city waterfront tour line generation module in said step 5 are as follows: Step 5.1: Number all planned viewing spots; Step 5.2: Select the route with the highest crowd density as the waterfront viewing route; Step 5.3: Use the crowd activity database in the three time periods of morning exercise, recreation, and night outing respectively, and perform the operation of the above step 5.2, so as to obtain three scenic tour lines of the city's waterfront area; Step 5.4: Merge the overlapping parts of the three urban waterfront viewing tour lines to form a dynamic urban sightseeing tour line; Step 5.5: Use the output function of the Depthmap software to connect the viewing line layer with the city's three-dimensional spatial form and crowd activity database. 7. A method for automatically generating a sightseeing tour line in an urban waterfront area according to claim 1, wherein the three-dimensional spatial form database of the urban waterfront area includes: building density, building height, volume ratio, and green area ratio There are 9 urban spatial form layers, including location data of service facilities, land parcel properties, shoreline types, vegetation coverage and impervious surface area ratio. 8. A method for automatically generating a city waterfront scenic tour line according to claim 6, characterized in that: in the step 5.2, the specific steps of selecting the route with the highest crowd density as the waterfront scenic tour line are as follows : Step 5.2.1: Enter all viewpoints 1...i...n; Step 5.2.2: extract any point i from all the entered viewpoints; Step 5.2.3: Use Depthmap software to calculate the global depth of origin i and select the point with the lowest global depth as j; Step 5.2.4: If the number of j is greater than 1, compare the crowd density of the block where j is located, select the point j with the highest crowd density in the block where j is connected to point i, and output the tour section; if the number of j is not greater than 1 , then: directly connect point i to point j; then remove point i and return to step 5.2.2.