CN112668858B - Method, device, equipment and storage medium for determining target station in area - Google Patents
Method, device, equipment and storage medium for determining target station in area Download PDFInfo
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Abstract
The application provides a method, a device, equipment and a storage medium for determining a target site in an area, wherein the method comprises the following steps: aiming at each public transport station in the target area, calculating a modification score value by using an index value of a primary index of the public transport station; sequencing the public transportation stations in the target area according to the sequence of the transformation score values from high to low to obtain a station sequence; extracting a target number of public transport stations from the station sequence as candidate stations by using a ratio threshold configured for the target area; for each candidate station, drawing a station analysis chart by taking the index value of the development attribute index of the candidate station as an abscissa and taking the index value of the traffic attribute index of the candidate station as an ordinate; and identifying candidate sites positioned on the acquisition frame from the site analysis graph as target sites. The public transportation stations in the target area can be evaluated more objectively and comprehensively.
Description
Technical Field
The invention relates to the technical field of urban planning and traffic planning, in particular to a method, a device, equipment and a storage medium for determining a target station in an area.
Background
TOD (Transit-aided-Development) is an urban planning and design concept which is dominated by public transport. The TOD concept emphasizes that urban public transport systems such as railway/urban rail transit or public buses are taken as the leading factor, high-intensity development is carried out on plots around public transport stations, street networks which are suitable for pedestrian traffic and non-motor traffic and have high accessibility are built, intensive residential, commercial and public spaces are built, and contradictions between traffic jam and land shortage generated in the urban development process are coordinated through land use and traffic policies. Because the TOD concept generally requires high-intensity development of plots around each public transportation station in an area, when urban planning is performed by using the TOD concept, investigation and evaluation are often required for traffic attributes and surrounding socioeconomic development conditions of each public transportation station in the area to determine a target station for TOD transformation.
The current method is generally dominated by a local regional transformation developer to determine transformation objects in a target region, and rarely evaluates public transportation stations in the target region in advance before regional transformation, so that the TOD transformation quality of the region is low. And even if the public transportation stations in the target area are evaluated in advance before transformation, the development conditions around the public transportation stations in the area to be planned are scored mainly by manual research and evaluation of planners, and then the target stations finally used for transformation are determined according to the scoring results. Like this, the result of grading receives planning personnel's subjective factor influence great, is difficult to guarantee the objectivity of result of grading, and the size of result of grading can only reflect the peripheral TOD development degree of public transport website, can't embody the concrete direction and the degree of TOD transformation demand to, lead to the definite result of target website comparatively one-sidedly, the target website of determining probably is not suitable for carrying out TOD transformation, causes the efficiency of TOD transformation to be lower or the effect is not good.
Disclosure of Invention
In view of this, the present invention provides a method, an apparatus, a device and a storage medium for determining a target station in an area, so as to evaluate public transportation stations in the area more objectively and comprehensively, identify a proper direction and degree of TOD modification of each public transportation station in the area, and facilitate improvement of efficiency and modification effect of TOD modification.
In a first aspect, an embodiment of the present invention provides a method for determining a target station in an area, where the method includes:
aiming at each public transport station in a target area, calculating the transformation score value of the public transport station by using the index value of the primary index of the public transport station, wherein the primary index comprises the following steps: a traffic attribute index, a guidance attribute index, and a development attribute index;
sequencing the public transportation stations in the target area according to the sequence of the transformation score values from high to low to obtain a station sequence;
extracting a target number of public transport stations from the station sequence by using a ratio threshold configured for the target area to obtain candidate stations, wherein the target number is a product value of the ratio threshold and the total number of the public transport stations in the target area;
for each candidate station, drawing a station analysis chart by taking the index value of the development attribute index of the candidate station as an abscissa and taking the index value of the traffic attribute index of the candidate station as an ordinate;
and identifying candidate stations on a collection frame from the station analysis graph as target stations in the target area, wherein the collection frame is symmetrical about a three-quadrant bisector of the station analysis graph, and the target stations are used for representing public transport stations with the highest TOD transformation suitability degree in the target area.
Optionally, each of the primary indexes at least includes a secondary index;
the traffic attribute index is used for representing the traffic convenience degree in the region of the public traffic station;
the guidance attribute index is used for representing the intensity of the modification intention of residents in the jurisdiction of the public transport station;
the development attribute index is used for representing the development and transformation completion degree of the public transport station in the jurisdiction of the public transport station.
Optionally, the method further includes:
aiming at each primary index of the target site, judging whether the index value of the primary index is smaller than a first average threshold value by using the first average threshold value corresponding to the primary index;
if the index value of the first-level index is smaller than the first average threshold value, determining that the first-level index is the index to be modified of the target site;
and if the index value of the first-level index is determined to be greater than or equal to the first average threshold value, determining that the first-level index is an index without modification.
Optionally, after determining that the primary index is the index to be reformed of the target site, the method further includes:
aiming at each secondary index contained in the index to be modified, judging whether the index value of the secondary index is smaller than a second average threshold value or not by using the second average threshold value corresponding to the secondary index;
if the index value of the secondary index is determined to be smaller than the second average threshold value, outputting modification information corresponding to the secondary index;
and taking the output modification information as a modification scheme of the target station.
Optionally, the calculating the modification score value of the public transportation station by using the index value of the primary index of the public transportation station includes:
aiming at each primary index of the public transportation station, taking the index value of the primary index as the coordinate value of the public transportation station on a target coordinate axis to obtain a three-dimensional coordinate value of the public transportation station, wherein the target coordinate axis is the coordinate axis corresponding to the primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and an optimal solution, and taking the calculation result as a first distance, wherein the optimal solution is the three-dimensional coordinate value consisting of the maximum index value of each primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and the worst solution, wherein the worst solution is the three-dimensional coordinate value consisting of the minimum index value of each primary index, and the calculation result is used as a second distance;
and calculating a quotient value of the second distance and the target distance, and taking a calculation result as the transformation score value.
Optionally, after obtaining the site sequence, the method further includes:
judging whether the city development grade is at or above the middle level by using the city development grade of the target area;
if the city development level is determined to be at or above the middle level, configuring a first threshold value as the proportion threshold value of the target area;
and if the city development level is determined to be below the middle level, configuring a second threshold value as the proportion threshold value of the target area, wherein the second threshold value is smaller than the first threshold value.
Optionally, after the site analysis graph is drawn, the method further includes:
clustering all the candidate sites by using the index value of the primary index of each candidate site;
and based on the result of the clustering processing, marking the candidate sites belonging to the same category as the same color in the site analysis graph to obtain a site classification display graph.
In a second aspect, an embodiment of the present invention further provides an apparatus for determining a target station in an area, where the apparatus includes:
the score calculation module is used for calculating the reconstruction score of each public transport station in the target area by using the index value of the primary index of the public transport station, wherein the primary index comprises: a traffic attribute index, a guidance attribute index, and a development attribute index;
the sequencing module is used for sequencing the public transport stations in the target area according to the sequence of the transformation score values from high to low to obtain a station sequence;
the extraction module is used for extracting a target number of public transport stations from the station sequence by using a ratio threshold configured for the target area to obtain candidate stations, wherein the target number is a product value of the ratio threshold and the total number of the public transport stations in the target area;
the mapping module is used for drawing a station analysis chart by taking the index value of the development attribute index of each candidate station as an abscissa and taking the index value of the traffic attribute index of the candidate station as an ordinate for each candidate station;
and the identification module is used for identifying candidate stations positioned on a collection frame from the station analysis graph as target stations in the target area, wherein the collection frame is symmetrical about a three-quadrant angular bisector of the station analysis graph, and the target stations are used for representing public transport stations with the highest TOD transformation suitability degree in the target area.
Optionally, in the score calculating module, each of the primary indexes at least includes one secondary index;
the traffic attribute index is used for representing the traffic convenience degree in the region of the public traffic station;
the guidance attribute index is used for representing the intensity of the modification intention of residents in the jurisdiction of the public transport station;
the development attribute index is used for representing the development and transformation completion degree of the public transport station in the jurisdiction of the public transport station.
Optionally, the apparatus further includes:
the judging module is used for judging whether the index value of the primary index is smaller than the first average threshold value or not by utilizing the first average threshold value corresponding to the primary index aiming at each primary index of the target site;
the first determining module is used for determining that the first-level index is the index to be modified of the target site if the index value of the first-level index is smaller than the first average threshold value;
and the second determining module is used for determining that the first-level index is the index without modification if the index value of the first-level index is determined to be greater than or equal to the first average threshold value.
Optionally, the first determining module is further configured to:
aiming at each secondary index contained in the index to be modified, judging whether the index value of the secondary index is smaller than a second average threshold value or not by using the second average threshold value corresponding to the secondary index;
if the index value of the secondary index is determined to be smaller than the second average threshold value, outputting modification information corresponding to the secondary index;
and taking the output modification information as a modification scheme of the target station.
Optionally, the score calculating module is further configured to:
aiming at each primary index of the public transportation station, taking the index value of the primary index as the coordinate value of the public transportation station on a target coordinate axis to obtain a three-dimensional coordinate value of the public transportation station, wherein the target coordinate axis is the coordinate axis corresponding to the primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and an optimal solution, and taking the calculation result as a first distance, wherein the optimal solution is the three-dimensional coordinate value consisting of the maximum index value of each primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and the worst solution, wherein the worst solution is the three-dimensional coordinate value consisting of the minimum index value of each primary index, and the calculation result is used as a second distance;
and calculating a quotient value of the second distance and the target distance, and taking a calculation result as the transformation score value.
Optionally, the apparatus further includes: a configuration module, wherein the configuration module is configured to:
judging whether the city development grade is at or above the middle level by using the city development grade of the target area;
if the city development level is determined to be at or above the middle level, configuring a first threshold value as the proportion threshold value of the target area;
and if the city development level is determined to be below the middle level, configuring a second threshold value as the proportion threshold value of the target area, wherein the second threshold value is smaller than the first threshold value.
Optionally, the drawing module is further configured to:
clustering all the candidate sites by using the index value of the primary index of each candidate site;
and based on the result of the clustering processing, marking the candidate sites belonging to the same category as the same color in the site analysis graph to obtain a site classification display graph.
In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method for determining a target station in an area described above.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the method for determining a target station in an area described above.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
on one hand, the method calculates the modification score value of the public transport station by using the index values of the traffic attribute index, the guidance attribute index and the development attribute index of each public transport station in the target area, and can objectively and comprehensively evaluate the public transport stations in the target area in three index dimensions of the traffic attribute, the guidance attribute and the development attribute; on the other hand, the traffic attribute index can be used for representing the traffic convenience degree in the belonging jurisdiction of the candidate station, the development attribute index can be used for representing the development and modification completion degree in the belonging jurisdiction of the candidate station, and in consideration of the fact that the traffic attribute index and the development attribute index can objectively reflect the actual environmental conditions for TOD modification of the candidate station, a two-dimensional station analysis map is drawn by using the development attribute index and the traffic attribute index to more objectively evaluate the candidate station in the target area, wherein, as a three-quadrant angular bisector of the station analysis map can be used for representing the candidate stations with the same TOD modification difficulty degree and modification space in different index dimensions, the appropriate direction and degree of TOD modification of each candidate station in the target area can be identified by using a three-quadrant angular bisector symmetrical acquisition frame of the station analysis map, thereby being beneficial to improving the transformation efficiency and the transformation effect of the TOD.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic flowchart illustrating a method for determining a target station in an area according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a site analysis graph provided by an embodiment of the present application;
fig. 3 is a flowchart illustrating a method for configuring a duty ratio threshold for a target station according to an embodiment of the present application;
fig. 4 is a flowchart illustrating a method for displaying a site classification result according to an embodiment of the present application;
fig. 5 is a flowchart illustrating a method for determining a modification plan of a target site according to an embodiment of the present application;
fig. 6 is a schematic structural diagram illustrating an apparatus for determining a target station in an area according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a computer device 700 according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a method, a device, equipment and a storage medium for determining a target station in an area, which are described by embodiments below.
Example one
Fig. 1 is a schematic flowchart illustrating a method for determining a target station in an area according to an embodiment of the present application, where the method includes steps S101-S105; specifically, the method comprises the following steps:
s101, aiming at each public transport station in a target area, calculating the transformation score value of the public transport station by using the index value of the primary index of the public transport station, wherein the primary index comprises: a traffic attribute index, a guidance attribute index, and a development attribute index.
In the embodiment of the present application, as an optional embodiment, each of the primary indexes at least includes a secondary index;
the traffic attribute index is used for representing the traffic convenience degree in the region of the public traffic station;
the guidance attribute index is used for representing the intensity of the modification intention of residents in the jurisdiction of the public transport station;
the development attribute index is used for representing the development and transformation completion degree of the public transport station in the jurisdiction of the public transport station.
It should be noted that, the jurisdiction to which the public transportation station belongs is a circular area with the public transportation station as a center and the preset distance threshold as a radius, and the specific distance threshold may be adjusted according to the actual planning requirement of the user, for example, compared with a suburban area, public transportation in the urban central area is denser, at this time, when the jurisdiction to which the public transportation station belongs is divided, a smaller distance threshold may be configured for the public transportation station in the urban central area, and a larger distance threshold may be configured for the public transportation station in the suburban area, and the specific size of the distance threshold is not limited in the present application.
Illustratively, the public transportation station may be a subway station, a bus station, a train station, etc.; the secondary indexes under the traffic attribute indexes may include: the average daily getting-on and getting-off passenger flow, the road network density in the region to which the public transportation station belongs, the number of intersections, the number of public transportation stations and the like; the secondary indicators under the guidance attribute indicator may include: agreeing to reform the number of passengers of the public transportation site, the number of consumption gathering areas in the jurisdiction to which the public transportation site belongs, commercial development potential, land use development potential and the like; the secondary indicators under the developmental attribute indicator may include: population density, post density, volume rate, land mixture entropy, super-commercial density, medical facility density, average room price, average shop rent and the like in the jurisdiction to which the public transportation station belongs.
It should be noted that, in calculating the modification score value, an analytic hierarchy process may be used, or a TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method may be used for calculation. The specific calculation method of the modification score value is not limited in the present application.
Specifically, as an optional embodiment, the calculating the modification score value of the public transportation station by using the index value of the primary index of the public transportation station includes:
aiming at each primary index of the public transportation station, taking the index value of the primary index as the coordinate value of the public transportation station on a target coordinate axis to obtain a three-dimensional coordinate value of the public transportation station, wherein the target coordinate axis is the coordinate axis corresponding to the primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and an optimal solution, and taking the calculation result as a first distance, wherein the optimal solution is the three-dimensional coordinate value consisting of the maximum index value of each primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and the worst solution, wherein the worst solution is the three-dimensional coordinate value consisting of the minimum index value of each primary index, and the calculation result is used as a second distance;
and calculating a quotient value of the second distance and the target distance, and taking a calculation result as the transformation score value.
For example, if a three-dimensional coordinate system is established with a traffic attribute index as an x-axis, a guidance attribute index as a y-axis, and a development attribute index as a z-axis, each of the public transportation stations may be characterized as a point (x, y, z) in the three-dimensional coordinate system, where x is an index value of the traffic attribute index of the public transportation station, y is an index value of the guidance attribute index of the public transportation station, and z is an index value of the development attribute index of the public transportation station, taking the public transportation station a as an example, if the index value of the traffic attribute index of the public transportation station a is a, the index value of the guidance attribute index is b, and the index value of the development attribute index is C, the three-dimensional coordinate value of the public transportation station a is (a, b, C), and the modification score C of the public transportation station a may be calculated according to the following formulaA：
Wherein x ismaxIs the maximum value of the index values of the traffic attribute indexes of all the public traffic stations in the target area;
ymaxis the maximum value of the index values of the guidance attribute indexes of all public transport stations in the target area;
zmaxis the maximum value of the index values of the development attribute indexes of all public transport stations in the target area;
xminis the minimum value of the index values of the traffic attribute indexes of all public traffic stations in the target area;
yminis the minimum value of the index values of the guidance attribute indexes of all public transport stations in the target area;
zminis the minimum value of the index values of the development attribute indexes of all public transport stations in the target area;
D1is the first distance;
D2is the second distance;
(xmax，ymax，zmax) Is the optimal solution;
(xmin，ymin，zmin) Is the worst solution.
S102, sequencing the public transportation stations in the target area according to the sequence of the transformation score values from high to low to obtain a station sequence.
For example, if the public transportation station included in the target area is: A. b, C, D, E, F, wherein the modification score value of public transportation stop A is 60, the modification score value of public transportation stop B is 75, the modification score value of public transportation stop C is 50, the modification score value of public transportation stop D is 85, the modification score value of public transportation stop E is 90, and the modification score value of public transportation stop F is 55, the resulting stop sequence is: E. d, B, A, F, C are provided.
S103, extracting a target number of public transportation stations from the station sequence by using a ratio threshold configured for the target area to obtain candidate stations, wherein the target number is a product value of the ratio threshold and the total number of the public transportation stations in the target area.
It should be noted that the proportion threshold is used for characterizing the proportion of the number of candidate stations in the total number of public transportation stations in the target area.
Specifically, considering that the urban development levels and the developed degrees of public transportation in different target areas may be different, for a target area with higher urban development level and more developed public transportation, the suitability of the public transportation station in the target area for TOD modification is generally higher than that in a target area with lower urban development level and poorer public transportation. Therefore, a larger proportion threshold value can be configured for a target area with a higher urban development level and developed public transport, and public transport stations with a larger proportion are screened out from the target area to serve as candidate stations for TOD transformation; a smaller proportion threshold value can be configured for a target area with a lower city development level and poor public transportation, and public transportation stations with smaller proportion are screened out from the target area to serve as candidate stations for TOD transformation. Therefore, public transportation stations in different target areas can be objectively and comprehensively evaluated, and improvement of TOD transformation efficiency is facilitated.
Illustratively, if the percentage threshold of the target area M is 38%, and the total number of public transportation stations in the target area M is 100, then from the sorted station sequence, the top 38 public transportation stations are extracted as candidate stations of the target area M.
And S104, drawing a station analysis chart by taking the index value of the development attribute index of the candidate station as an abscissa and the index value of the traffic attribute index of the candidate station as an ordinate for each candidate station.
Specifically, the traffic attribute index may be used to represent a degree of convenience of traffic in a region to which the candidate station belongs, the development attribute index may be used to represent a development and modification completion degree in the region to which the candidate station belongs, and the guidance attribute index mainly reflects a modification intention of residents in the region to which the candidate station belongs, and a two-dimensional station analysis map is drawn by using the development attribute index and the traffic attribute index in order to more objectively evaluate the candidate station in the target region in consideration of that the guidance attribute index cannot objectively reflect an actual environmental condition for performing TOD modification on the candidate station.
Illustratively, with the index value of the development attribute index as the abscissa and the index value of the traffic attribute index as the ordinate, a station analysis graph may be obtained as shown in fig. 2, where each circular coordinate point in fig. 2 is used to characterize one candidate station.
And S105, identifying candidate stations on a collection frame from the station analysis graph as target stations in the target area, wherein the collection frame is symmetrical about a three-quadrant angular bisector of the station analysis graph, and the target stations are used for representing public transport stations with the highest TOD transformation suitability degree in the target area.
Specifically, referring to the station analysis diagram shown in fig. 2, in the station analysis diagram, for a candidate station whose coordinate values are located on a three-quadrant angular bisector 201, the index value of the traffic attribute index of the candidate station is equal to the index value of the development attribute index, which indicates that the traffic attribute index and the development attribute index of the candidate station are relatively balanced, and the candidate station has the same TOD transformation difficulty and transformation space in the dimension represented by the two types of indexes. Therefore, a three-quadrant angular bisector 201 of the site analysis diagram can be used for representing candidate sites with the same TOD transformation difficulty and transformation space on different index dimensions to be transformed;
for a candidate station located above a three-quadrant angular bisector 201, the index value of the traffic attribute index of the candidate station is greater than the index value of the development attribute index, and it indicates that the candidate station needs to perform TOD modification on the dimension represented by the development attribute index, wherein the larger the index value of the development attribute index of the candidate station is, the smaller the TOD modification space of the development attribute index of the candidate station is;
for a candidate station located below a three-quadrant angular bisector 201, the index value of the traffic attribute index of the candidate station is smaller than the index value of the development attribute index, which indicates that the candidate station needs to perform TOD transformation on the dimension represented by the traffic attribute index, wherein the larger the index value of the traffic attribute index of the candidate station is, the smaller the TOD transformation space of the traffic attribute index of the candidate station is.
Illustratively, referring to fig. 2, in addition to the individual discretely distributed abnormal candidate sites, the candidate sites are mainly and centrally distributed in a graph region enclosed by a lower boundary curve 202 and an upper boundary curve 203, wherein the lower boundary curve 202 may be obtained by fitting coordinate values of the candidate sites close to an abscissa axis, and the upper boundary curve 203 may be obtained by inverting the fitted lower boundary curve 202 about a three-quadrant bisector 201. As the index value of the primary index is too large, the smaller the TOD modification space corresponding to the primary index is, and the smaller the index value of the primary index is, the greater the TOD modification difficulty corresponding to the primary index is, therefore, the middle area of the site analysis graph may be used to symbolize an area where a target site is located in the candidate sites, as an optional embodiment, as shown in fig. 2, the collection frame is a frame surrounded by a first curve 204, a second curve 205, a third curve 206, and a fourth curve 207, and the candidate site located on the collection frame is identified as the target site.
It should be noted that the shape and size of the acquisition frame are determined by a preset adjustable function, and the adjustable function may be adjusted according to the actual needs of the user, for example, when the adjustable function is an exponential function, the shape of the generated acquisition frame is as shown in fig. 2; if the adjustable function is a standard equation of a circle, the generated acquisition frame is a circle symmetrical about a three-quadrant angular bisector 201, and the specific shape and size of the acquisition frame are not limited in the present application.
In a possible embodiment, fig. 3 is a flowchart illustrating a method for configuring a duty ratio threshold for a target station according to an embodiment of the present application, where as shown in fig. 3, after performing step S102, the method further includes S301-S303; specifically, the method comprises the following steps:
s301, judging whether the city development level is at or above the middle level by using the city development level of the target area.
Specifically, the city development level can be used for representing the city development level and the developed degree of public transportation of the target region, for example, compared with the common region, the city development level of first-line cities such as Beijing, Shanghai, Shenzhen, Guangzhou and the like is higher, the public transportation is more developed, and the city development level of the first-line cities is higher than the middle level; in remote cities such as Lhasa and Wulu-muqi, the development process of public transportation is short, and the development grade of the city is below the middle grade.
It should be noted that, for the determination of the urban development level, the determination may be performed according to the investigation and evaluation results of researchers on the urban development level and the developed degree of public transportation in the target area; the ranking of big data of different cities in the social media can also be referred to for determination; the present application is not limited to a specific method for dividing the development grade of a city.
S302, if the city development level is determined to be at the middle level or above, configuring a first threshold value as the proportion threshold value of the target area.
Illustratively, for the target area M, if it is determined that the city development level to which the target area M belongs is middle, the upper golden section bit: 61.8% is configured as the duty threshold of the target area M.
S303, if it is determined that the city development level is below the middle level, configuring a second threshold as the proportion threshold of the target area, where the second threshold is smaller than the first threshold.
Illustratively, for the target area M, if it is determined that the city development level of the target area M is below the middle level, the following golden section bits may be used: 38.2% is configured as the duty threshold of the target area M.
In a possible implementation, fig. 4 is a schematic flowchart illustrating a method for presenting a site classification result according to an embodiment of the present application, and as shown in fig. 4, after performing step S104, the method further includes S401-S402; specifically, the method comprises the following steps:
s401, clustering all the candidate sites by using the index value of the primary index of each candidate site.
Specifically, for each candidate site, the index value of each primary index of the candidate site is used as a feature value for clustering, all candidate sites included in the target area are clustered, and all candidate sites are divided into a limited set of candidate sites.
It should be noted that: when clustering is performed, clustering processing models such as K-means clustering, SOM clustering, SVM clustering and the like can be used, and the selection of a specific clustering model is not limited in the present application.
For example, taking K-means clustering as an example, when a K-means clustering process model is used to perform clustering process on all candidate sites included in a target area, the candidate range of the number K of categories of the clustering can be determined according to the following formula:
K∈[2，[ln(N)]+3]；
wherein N is the total number of all candidate sites contained within the target area;
k is a positive integer in the closed interval;
when taking the value, the ln (n) takes rounding up, for example, if the actual calculation result of ln (n) is 10.2, ln (n) takes 11.
As an optional embodiment, in the alternative range of K, the K values may be exhaustive to obtain alternative K values, each alternative K value listed in short is taken as an abscissa, a polygonal line coordinate diagram is created with a distortion degree corresponding to the alternative K value as an ordinate, in the created polygonal line coordinate diagram, the alternative K value corresponding to the highest curvature of the polygonal line is identified, and the identification result is taken as the K value finally used for clustering, where the distortion degree is a sum of squared distance errors between a mass point of each cluster after clustering and a sample point in the cluster.
S402, based on the clustering result, marking the candidate sites belonging to the same category as the same color in the site analysis graph to obtain a site classification display graph.
Specifically, in the existing TOD modification, whether different candidate sites have similar modification difficulty or modification space is generally determined according to the relative size of the modification score value of each candidate site. For example, if the modification score value of candidate site a is very close to the modification score value of candidate site B, the researcher may determine that the modification difficulty and modification space of candidate site a and candidate site B are similar. Therefore, the judgment result is greatly influenced by artificial subjective factors, the support of objective data is lacked, the determination result of the target station is relatively one-sided, the TOD transformation efficiency of the target station is low, and the transformation effect is possibly not ideal.
In consideration of the defects of the prior art, the clustering processing result is used as objective data support, and the subjective judgment result of a researcher can be corrected.
Exemplary description, referring to fig. 2, the result of the clustering process is: all candidate sites are divided into 3 classes as an example, the first class of candidate sites can be marked as black, the second class of candidate sites can be marked as gray, the third class of candidate sites can be marked as white, and a site classification display graph is obtained, in fig. 2, the candidate sites a and the candidate sites B are taken as examples, the modification score value of the candidate site a is very close to the modification score value of the candidate site B, but depending on the clustering result, it can be seen in fig. 2 that the candidate site a belongs to the first class of candidate sites, the candidate site B belongs to the second class of candidate sites, the subjective judgment result of researchers can be corrected by using the marking result in the site classification display graph, objective data is provided for the finally determined target site as support, and the appropriate direction and degree of TOD modification of the target site can be more comprehensively and objectively embodied, the TOD transformation efficiency and transformation effect of the target area can be improved.
In a possible embodiment, fig. 5 is a schematic flow chart of a method for determining a modification plan of a target site according to an embodiment of the present application, and as shown in fig. 5, after performing step S105, the method further includes S501-S503; specifically, the method comprises the following steps:
s501, aiming at each first-level index of the target site, judging whether the index value of the first-level index is smaller than the first average threshold value by using the first average threshold value corresponding to the first-level index.
Specifically, each of the first-level indexes corresponds to a first average threshold, where the first average threshold is used to represent an average index value of the first-level index, and for each of the first-level indexes of the target site, if the index value of the first-level index exceeds the first average threshold corresponding to the first-level index, it indicates that the remaining modification space of the first-level index of the target site is small, or the first-level index does not need to be modified; if the index value of the first-level index is smaller than the first average threshold value corresponding to the first-level index, it indicates that the remaining modification space of the first-level index of the target site is large, or the first-level index needs to be modified.
It should be noted that the first average threshold corresponding to different primary indexes may be the same or different, and the specific value of the first average threshold may be adjusted according to the actual planning and TOD modification requirements of the user.
Illustratively, the primary indicators include: when the traffic attribute index, the guidance attribute index, and the development attribute index are used, the first average threshold values corresponding to the traffic attribute index, the guidance attribute index, and the development attribute index may be the same, for example, the first threshold value is fixed to 50; for example, the first average threshold corresponding to the traffic attribute index may be 60, the first average threshold corresponding to the guidance attribute index may be 50, and the first average threshold corresponding to the development attribute index may be 70.
And S502, if the index value of the first-level index is smaller than the first average threshold value, determining that the first-level index is the index to be modified of the target site.
Still by way of example, taking the above example as an example, if the first average threshold of the traffic attribute index is 60, the first average threshold corresponding to the guidance attribute index is 50, and the first average threshold corresponding to the development attribute index is 70, and if the index value of the traffic attribute index of the target site a is 50, the index value of the guidance attribute index is 60, and the index value of the development attribute index is 70, it may be determined that the traffic attribute index is the index to be reformed of the target site a.
In this embodiment, as an optional embodiment, after determining that the primary index is the index to be reformed of the target site, the method further includes:
aiming at each secondary index contained in the index to be modified, judging whether the index value of the secondary index is smaller than a second average threshold value or not by using the second average threshold value corresponding to the secondary index;
if the index value of the secondary index is determined to be smaller than the second average threshold value, outputting modification information corresponding to the secondary index;
and taking the output modification information as a modification scheme of the target station.
For example, taking an example that an index to be modified of a target site a is a traffic attribute index, a secondary index under the traffic attribute index is: when the daily average passenger flow volume of getting on and off the bus, the road network density in the belonged jurisdiction of the public transport station, the intersection number and the public transport station number are determined, if the road network density in the belonged jurisdiction of the target station A is smaller than the second average threshold value of the road network density index and the intersection number in the belonged jurisdiction of the target station A is smaller than the second average threshold value of the intersection number index, the transformation scheme of the output target station A is as follows: and increasing the number of intersections in the belonged region of the target site A and improving the road network density in the belonged region of the target site A.
And S503, if the index value of the primary index is determined to be greater than or equal to the first average threshold value, determining that the primary index is an index without modification.
Still taking the example in step S502 as an example, the first average threshold of the traffic attribute index is 60, the first average threshold corresponding to the guidance attribute index is 50, and the first average threshold corresponding to the development attribute index is 70, and if the index value of the traffic attribute index of the target site a is 50, the index value of the guidance attribute index is 60, and the index value of the development attribute index is 70, it may be determined that the guidance attribute index and the development attribute index do not need to be modified indexes, and the guidance attribute index and the development attribute index of the target site a do not need to be subjected to TOD modification.
Example two
Fig. 6 is a schematic structural diagram illustrating an apparatus for determining a target station in an area according to an embodiment of the present application, where the apparatus includes:
a score calculation module 601, configured to calculate, for each public transportation station in a target area, a modification score of the public transportation station by using an index value of a primary index of the public transportation station, where the primary index includes: a traffic attribute index, a guidance attribute index, and a development attribute index;
a sorting module 602, configured to sort public transportation stations in the target area according to the sequence from high to low of the modification score value, so as to obtain a station sequence;
an extracting module 603, configured to extract a target number of public transportation stations from the station sequence by using a proportion threshold configured for the target area, to obtain candidate stations, where the target number is a product value of the proportion threshold and a total number of public transportation stations in the target area;
a mapping module 604, configured to, for each candidate station, use an index value of the development attribute index of the candidate station as an abscissa and use an index value of the traffic attribute index of the candidate station as an ordinate to map a station analysis graph;
and the identifying module 605 is configured to identify, from the station analysis map, a candidate station located on a collection frame as a target station in the target area, where the collection frame is symmetric with respect to a three-quadrant bisector of the station analysis map, and the target station is used to characterize a public transportation station in the target area with the highest TOD transformation suitability.
Optionally, in the score calculating module 601, each of the primary indexes at least includes a secondary index;
the traffic attribute index is used for representing the traffic convenience degree in the region of the public traffic station;
the guidance attribute index is used for representing the intensity of the modification intention of residents in the jurisdiction of the public transport station;
the development attribute index is used for representing the development and transformation completion degree of the public transport station in the jurisdiction of the public transport station.
Optionally, the apparatus further includes:
a determining module (not shown in the figure), configured to determine, for each primary index of the target site, whether an index value of the primary index is smaller than a first average threshold value by using the first average threshold value corresponding to the primary index;
a first determining module (not shown in the figure), configured to determine that the first-level index is an index to be modified of the target site if it is determined that the index value of the first-level index is smaller than the first average threshold;
and a second determining module (not shown in the figure) configured to determine that the primary index is a modification-free index if it is determined that the index value of the primary index is greater than or equal to the first average threshold.
Optionally, the first determining module is further configured to:
aiming at each secondary index contained in the index to be modified, judging whether the index value of the secondary index is smaller than a second average threshold value or not by using the second average threshold value corresponding to the secondary index;
if the index value of the secondary index is determined to be smaller than the second average threshold value, outputting modification information corresponding to the secondary index;
and taking the output modification information as a modification scheme of the target station.
Optionally, the score calculating module 601 is further configured to:
aiming at each primary index of the public transportation station, taking the index value of the primary index as the coordinate value of the public transportation station on a target coordinate axis to obtain a three-dimensional coordinate value of the public transportation station, wherein the target coordinate axis is the coordinate axis corresponding to the primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and an optimal solution, and taking the calculation result as a first distance, wherein the optimal solution is the three-dimensional coordinate value consisting of the maximum index value of each primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and the worst solution, wherein the worst solution is the three-dimensional coordinate value consisting of the minimum index value of each primary index, and the calculation result is used as a second distance;
and calculating a quotient value of the second distance and the target distance, and taking a calculation result as the transformation score value.
Optionally, the apparatus further includes: a configuration module (not shown), wherein the configuration module is configured to:
judging whether the city development grade is at or above the middle level by using the city development grade of the target area;
if the city development level is determined to be at or above the middle level, configuring a first threshold value as the proportion threshold value of the target area;
and if the city development level is determined to be below the middle level, configuring a second threshold value as the proportion threshold value of the target area, wherein the second threshold value is smaller than the first threshold value.
Optionally, the drawing module 604 is further configured to:
clustering all the candidate sites by using the index value of the primary index of each candidate site;
and based on the result of the clustering processing, marking the candidate sites belonging to the same category as the same color in the site analysis graph to obtain a site classification display graph.
EXAMPLE III
As shown in fig. 7, an embodiment of the present application provides a computer device 700 for executing the method for determining a target station in an area in the present application, the device includes a memory 701, a processor 702, and a computer program stored in the memory 701 and executable on the processor 702, wherein the processor 702 implements the steps of the method for determining a target station in an area when executing the computer program.
Specifically, the memory 701 and the processor 702 may be general-purpose memory and processor, which are not limited specifically, and when the processor 702 runs a computer program stored in the memory 701, the method for determining a target station in an area can be performed.
Corresponding to the method for determining a target station in an area, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the method for determining a target station in an area.
In particular, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, or the like, and when executed, the computer program on the storage medium can perform the above-mentioned method for determining the target station in the area.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and there may be other divisions in actual implementation, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of systems or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for determining a targeted site within a region, the method comprising:
aiming at each public transport station in a target area, calculating the transformation score value of the public transport station by using the index value of the primary index of the public transport station, wherein the primary index comprises the following steps: a traffic attribute index, a guidance attribute index, and a development attribute index; the traffic attribute index is used for representing the traffic convenience degree in the region of the public traffic station; the guidance attribute index is used for representing the intensity of the modification intention of residents in the jurisdiction of the public transport station; the development attribute index is used for representing the development and transformation completion degree of the public transport station in the jurisdiction of the public transport station;
sequencing the public transportation stations in the target area according to the sequence of the transformation score values from high to low to obtain a station sequence;
extracting a target number of public transport stations from the station sequence by using a ratio threshold configured for the target area to obtain candidate stations, wherein the target number is a product value of the ratio threshold and the total number of the public transport stations in the target area;
for each candidate station, drawing a station analysis chart by taking the index value of the development attribute index of the candidate station as an abscissa and taking the index value of the traffic attribute index of the candidate station as an ordinate;
and identifying candidate stations on a collection frame from the station analysis graph as target stations in the target area, wherein the collection frame is symmetrical about a three-quadrant bisector of the station analysis graph, and the target stations are used for representing public transport stations with the highest TOD transformation suitability degree in the target area.
2. The method of claim 1, wherein each of the primary indicators comprises at least one secondary indicator.
3. The method of claim 2, further comprising:
aiming at each primary index of the target site, judging whether the index value of the primary index is smaller than a first average threshold value by using the first average threshold value corresponding to the primary index;
if the index value of the first-level index is smaller than the first average threshold value, determining that the first-level index is the index to be modified of the target site;
and if the index value of the first-level index is determined to be greater than or equal to the first average threshold value, determining that the first-level index is an index without modification.
4. The method of claim 3, wherein after the determining that the primary indicator is the indicator of the target site to be modified, the method further comprises:
aiming at each secondary index contained in the index to be modified, judging whether the index value of the secondary index is smaller than a second average threshold value or not by using the second average threshold value corresponding to the secondary index;
if the index value of the secondary index is determined to be smaller than the second average threshold value, outputting modification information corresponding to the secondary index;
and taking the output modification information as a modification scheme of the target station.
5. The method of claim 1, wherein the calculating the modification score value of the public transportation station by using the index value of the primary index of the public transportation station comprises:
aiming at each primary index of the public transportation station, taking the index value of the primary index as the coordinate value of the public transportation station on a target coordinate axis to obtain a three-dimensional coordinate value of the public transportation station, wherein the target coordinate axis is the coordinate axis corresponding to the primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and an optimal solution, and taking the calculation result as a first distance, wherein the optimal solution is the three-dimensional coordinate value consisting of the maximum index value of each primary index;
calculating the distance between the three-dimensional coordinate value of the public transport station and the worst solution, wherein the worst solution is the three-dimensional coordinate value consisting of the minimum index value of each primary index, and the calculation result is used as a second distance;
calculating a quotient value of the second distance and the target distance, and taking a calculation result as the transformation score value; wherein the target distance is a sum of the first distance and the second distance.
6. The method of claim 1, wherein after the obtaining the sequence of sites, the method further comprises:
judging whether the city development grade is at or above the middle level by using the city development grade of the target area;
if the city development level is determined to be at or above the middle level, configuring a first threshold value as the proportion threshold value of the target area;
and if the city development level is determined to be below the middle level, configuring a second threshold value as the proportion threshold value of the target area, wherein the second threshold value is smaller than the first threshold value.
7. The method of claim 1, wherein after the mapping the site analysis graph, the method further comprises:
clustering all the candidate sites by using the index value of the primary index of each candidate site;
and based on the result of the clustering processing, marking the candidate sites belonging to the same category as the same color in the site analysis graph to obtain a site classification display graph.
8. An apparatus for determining a targeted site within a region, the apparatus comprising:
the score calculation module is used for calculating the reconstruction score of each public transport station in the target area by using the index value of the primary index of the public transport station, wherein the primary index comprises: a traffic attribute index, a guidance attribute index, and a development attribute index; the traffic attribute index is used for representing the traffic convenience degree in the region of the public traffic station; the guidance attribute index is used for representing the intensity of the modification intention of residents in the jurisdiction of the public transport station; the development attribute index is used for representing the development and transformation completion degree of the public transport station in the jurisdiction of the public transport station;
the sequencing module is used for sequencing the public transport stations in the target area according to the sequence of the transformation score values from high to low to obtain a station sequence;
the extraction module is used for extracting a target number of public transport stations from the station sequence by using a ratio threshold configured for the target area to obtain candidate stations, wherein the target number is a product value of the ratio threshold and the total number of the public transport stations in the target area;
the mapping module is used for drawing a station analysis chart by taking the index value of the development attribute index of each candidate station as an abscissa and taking the index value of the traffic attribute index of the candidate station as an ordinate for each candidate station;
and the identification module is used for identifying candidate stations positioned on a collection frame from the station analysis graph as target stations in the target area, wherein the collection frame is symmetrical about a three-quadrant angular bisector of the station analysis graph, and the target stations are used for representing public transport stations with the highest TOD transformation suitability degree in the target area.
9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the method of determining a target station within a zone as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program for performing, when being executed by a processor, the steps of the method for determining a target station within an area according to any one of claims 1 to 7.
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