CN115830846B - Method and system for analyzing influence of parking guidance screen on illegal parking behavior - Google Patents

Method and system for analyzing influence of parking guidance screen on illegal parking behavior Download PDF

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CN115830846B
CN115830846B CN202211255375.3A CN202211255375A CN115830846B CN 115830846 B CN115830846 B CN 115830846B CN 202211255375 A CN202211255375 A CN 202211255375A CN 115830846 B CN115830846 B CN 115830846B
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parking
parking guidance
screens
illegal
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CN115830846A (en
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冯方宇
凌张吉
金辉
张彦沛
徐辉
李晋
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Suzhou University
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Suzhou University
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Abstract

The application relates to a method and a system for analyzing the influence of a parking guidance screen on illegal parking behaviors, comprising the following steps: acquiring distribution data of a parking guidance screen in an analysis area; acquiring historical illegal parking data in an analysis area; establishing a distribution map of parking guidance screens at all levels and illegal parking; taking the illegal parking position as a buffer center, taking the radius corresponding to the service range of each level of parking guidance screen as the radius of the buffer area, and establishing each level of buffer area of the illegal parking point; obtaining the number of parking guidance screens in each level of buffer area according to the parking guidance screens at each level and the distribution map of illegal parking; and according to the number of the parking guidance screens in each level of buffer area, obtaining the significance relation between the illegal parking points in the buffer area and each level of parking guidance screens. The method can obtain the remarkable relation between the illegal parking points and the parking guidance screens at all levels, so that the influence of the guidance screens at all levels on the illegal parking phenomenon in the surrounding areas is qualitatively analyzed.

Description

Method and system for analyzing influence of parking guidance screen on illegal parking behavior
Technical Field
The application relates to the technical field of geographic information science, in particular to a method and a system for analyzing the influence of a parking guidance screen on illegal parking behaviors.
Background
At present, with the continuous development of cities, the construction of static traffic facilities gradually cannot keep up with the increasing speed of the traffic demand in the cities, so that the problem of difficult parking in the cities is generally caused. Due to the fact that the driver's law keeping awareness is thin, the parking information in the city is insufficient, the utilization rate of parking facilities is low, and the phenomenon of illegal parking behavior is gradually increased.
The phenomenon of illegal parking behavior is often relieved by setting up a multi-stage parking guidance screen in the city. The parking guidance screen is divided into a primary parking guidance screen, a secondary parking guidance screen and a tertiary parking guidance screen. The primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen are respectively arranged at different positions, so that parking of a driver is guided, and the phenomenon of illegal parking is reduced.
However, in the existing city planning, even if a parking guidance screen is provided, there is a phenomenon of illegal parking. However, the degree of influence of the parking guidance screens at all levels on illegal parking is not clear to the staff. Therefore, a method for deeply analyzing the influence of the parking guidance screens at all levels on the illegal parking behavior in the city is needed, and a theoretical basis can be provided for the relevant researchers to arrange the parking guidance screens at all levels according to the conclusion of the analysis method.
Disclosure of Invention
Therefore, the technical problem to be solved by the application is to overcome the technical defects that whether a parking guidance screen is arranged or has illegal parking phenomenon in the prior art and an analysis method for the influence degree of the parking guidance screens at all levels on illegal parking is lacked.
In order to solve the technical problems, the application provides a method for analyzing the influence of a parking guidance screen on illegal parking behaviors, which comprises the following steps:
s1, acquiring distribution data of parking guidance screens in an analysis area, wherein the distribution data comprise distribution positions of all levels of parking guidance screens and distribution quantity of the distribution positions, and each level of parking guidance screens comprises a first-level parking guidance screen, a second-level parking guidance screen and a third-level parking guidance screen;
s2, acquiring historical illegal parking data in an analysis area, wherein the historical illegal parking data comprise illegal parking times and longitude and latitude data of an intersection corresponding to the illegal parking;
s3, according to the distribution data of the parking guidance screens and the historical illegal parking data in the analysis area, establishing a distribution map of each level of parking guidance screens and the illegal parking;
s4, respectively obtaining service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen; taking the illegal parking position as a buffer center, and respectively establishing a primary buffer zone, a secondary buffer zone and a tertiary buffer zone of the illegal parking point by taking the radius corresponding to the service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen as the radius of the buffer zone;
s5, according to the parking guidance screens at all levels and the distribution map of illegal parking, the number of the parking guidance screens in the primary buffer area, the secondary buffer area and the tertiary buffer area is respectively obtained;
s6, according to the number of parking guidance screens in the primary buffer area, the secondary buffer area and the tertiary buffer area, obtaining the significance relation between the illegal parking points in the primary buffer area, the secondary buffer area and the tertiary buffer area and the parking guidance screens at all levels.
Preferably, the S5 includes:
distribution number of first-level induction screens in buffer zoneWherein i is the number of the first-level induction screen in the analysis area;
distribution number of secondary induction screens in buffer zoneJ is the number of the secondary induction screen in the analysis area;
three-level induction screen distribution number in buffer zoneWherein k is the number of the three-level induction screen in the analysis area.
Preferably, in S3, a distribution map of parking guidance screens and illegal parking at each level is established based on GIS.
Preferably, the step S6 includes:
s61, constructing a corresponding relation table between the distribution quantity of each level of parking guidance screens and the quantity of illegal parking behaviors by utilizing the distribution quantity of each level of parking guidance screens in each buffer area, wherein each buffer area comprises a first buffer area, a second buffer area and a third buffer area, and each level of parking guidance screens comprises a first level parking guidance screen, a second level parking guidance screen and a third level parking guidance screen;
s62, dividing the number of illegal parking times into two samples by taking the median of the number of illegal parking times as a demarcation point, setting a test field as the distribution number of all levels of parking guidance screens by using a non-parameter test method of independent samples, and calculating to obtain the statistical significance relation between the distribution number of all levels of parking guidance screens in each buffer area and the number of illegal parking times.
Preferably, the step S6 further includes:
according to the significance relation between the illegal parking points in the primary buffer area, the secondary buffer area and the tertiary buffer area and the parking guidance screens of all levels, the distribution and the number of the parking guidance screens of all levels are adjusted.
Preferably, the primary induction screen is arranged on the main road, the secondary induction screen is arranged on the secondary road, and the tertiary induction screen is arranged on the periphery of the parking lot.
Preferably, the service range of the primary parking guidance screen is larger than the service range of the secondary parking guidance screen, and the service range of the secondary parking guidance screen is larger than the service range of the tertiary guidance screen.
Preferably, the service range of the primary parking guidance screen is 3km, the service range of the secondary parking guidance screen is 1.5km, and the service range of the tertiary parking guidance screen is 0.5km.
The application discloses an influence analysis system of a parking guidance screen on illegal parking behaviors, which comprises the following components:
the parking guidance screen data acquisition module is used for acquiring distribution data of parking guidance screens in an analysis area, wherein the distribution data comprise distribution positions of all levels of parking guidance screens and distribution quantity of the distribution positions, and each level of parking guidance screens comprises a primary parking guidance screen, a secondary parking guidance screen and a tertiary parking guidance screen;
the system comprises a illegal parking data acquisition module, a data analysis module and a data analysis module, wherein the illegal parking data acquisition module is used for acquiring historical illegal parking data in an analysis area, and the historical illegal parking data comprises illegal parking times and longitude and latitude data of an intersection corresponding to illegal parking;
the distribution map construction module is used for establishing distribution maps of all levels of parking guidance screens and illegal parking according to the distribution data of the parking guidance screens and the historical illegal parking data in the analysis area;
the buffer zone building module is used for respectively obtaining service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen; taking the illegal parking position as a buffer center, and respectively establishing a primary buffer zone, a secondary buffer zone and a tertiary buffer zone of the illegal parking point by taking the radius corresponding to the service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen as the radius of the buffer zone;
the significance relation calculation module is used for respectively obtaining the number of parking guidance screens in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone according to the distribution maps of parking guidance screens at all levels and illegal parking, and obtaining the significance relation between the illegal parking points in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone and the parking guidance screens at all levels according to the number of parking guidance screens in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone.
Preferably, according to the number of parking guidance screens in the primary buffer area, the secondary buffer area and the tertiary buffer area, the method for obtaining the significance relation between the illegal parking points in the primary buffer area, the secondary buffer area and the tertiary buffer area and the parking guidance screens at all levels specifically comprises the following steps:
constructing a corresponding relation table between the distribution quantity of each level of parking guidance screens and the quantity of illegal parking behaviors by utilizing the distribution quantity of each level of parking guidance screens in each buffer area, wherein each buffer area comprises a first buffer area, a second buffer area and a third buffer area, and each level of parking guidance screens comprises a first level parking guidance screen, a second level parking guidance screen and a third level parking guidance screen;
dividing the number of illegal parking times into two samples by taking the median of the number of illegal parking times as a demarcation point, setting a check field as the distribution number of all levels of parking guidance screens by using a non-parameter check method of an independent sample, and calculating to obtain the statistical significance relation between the distribution number of all levels of parking guidance screens in each buffer area and the number of illegal parking times.
Compared with the prior art, the technical scheme of the application has the following advantages:
1. according to the method, distribution maps of all levels of parking guidance screens and illegal parking are constructed, and the significance relation between the illegal parking points in the primary buffer area, the secondary buffer area and the tertiary buffer area and all levels of parking guidance screens is obtained, so that the influence of all levels of guidance screens on the illegal parking phenomenon in the surrounding area is qualitatively analyzed.
2. The conclusion of the analysis method provided by the application provides theoretical basis for related researchers to arrange and arrange all levels of parking guidance screens, and has important significance for scientifically arranging all levels of parking guidance screens and relieving urban illegal parking problems.
Drawings
FIG. 1 is a flow chart of a method of analyzing the impact of a parking guidance screen on a offending parking maneuver in accordance with the present application;
FIG. 2 is a flow chart of a method for analyzing the influence of a GIS-based parking guidance screen on illegal parking behavior;
FIG. 3 is a map of the primary guidance screen versus the offending parking buffer area;
FIG. 4 is a map of the secondary guidance screen versus the parking buffer area;
fig. 5 is a three-level guidance screen versus offending parking buffer zone map.
Detailed Description
The present application will be further described with reference to the accompanying drawings and specific examples, which are not intended to be limiting, so that those skilled in the art will better understand the application and practice it.
Referring to fig. 1, the application discloses a method for analyzing the influence of a parking guidance screen on illegal parking behaviors, which comprises the following steps:
step one, acquiring distribution data of parking guidance screens in an analysis area, wherein the distribution data comprise distribution positions of all levels of parking guidance screens and distribution quantity of the distribution positions, and each level of parking guidance screens comprises a first-level parking guidance screen, a second-level parking guidance screen and a third-level parking guidance screen.
Step two, acquiring historical illegal parking data in an analysis area, wherein the historical illegal parking data comprise illegal parking times and longitude and latitude data of an intersection corresponding to the illegal parking.
And thirdly, establishing a distribution map of each level of parking guidance screens and illegal parking according to the distribution data of the parking guidance screens and the historical illegal parking data in the analysis area.
And establishing distribution maps of parking guidance screens at all levels and illegal parking based on the GIS.
Step four, respectively obtaining service ranges of a primary parking guidance screen, a secondary parking guidance screen and a tertiary parking guidance screen; and taking the positions of the illegal parking as a buffer center, and respectively establishing a primary buffer zone, a secondary buffer zone and a tertiary buffer zone of the illegal parking point by taking the radiuses corresponding to the service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen as buffer zone radiuses.
And fifthly, respectively obtaining the number of the parking guidance screens in the primary buffer area, the secondary buffer area and the tertiary buffer area according to the parking guidance screens at all levels and the distribution map of illegal parking.
The fifth step comprises the following steps:
distribution number of first-level induction screens in buffer zoneWherein i is the number of the first-level induction screen in the analysis area;
distribution number of secondary induction screens in buffer zoneJ is the number of the secondary induction screen in the analysis area;
three-level induction screen distribution number in buffer zoneWherein k is three-level induction screen coding in the analysis areaNumber (x).
The above buffer areas may be a primary buffer area, a secondary buffer area, and a tertiary buffer area, respectively.
Step six, according to the number of parking guidance screens in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone, obtaining the significance relation between the illegal parking points in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone and the parking guidance screens at all levels, wherein the method comprises the following steps:
s61, constructing a corresponding relation table between the distribution quantity of each level of parking guidance screens and the quantity of illegal parking behaviors by utilizing the distribution quantity of each level of parking guidance screens in each buffer area, wherein each buffer area comprises a first buffer area, a second buffer area and a third buffer area, and each level of parking guidance screens comprises a first level parking guidance screen, a second level parking guidance screen and a third level parking guidance screen;
s62, dividing the number of illegal parking times into two samples by taking the median of the number of illegal parking times as a demarcation point, setting a test field as the distribution number of all levels of parking guidance screens by using a non-parameter test method of independent samples, and calculating to obtain the statistical significance relation between the distribution number of all levels of parking guidance screens in each buffer area and the number of illegal parking times.
And seventhly, adjusting the distribution and the number of the parking guidance screens at all levels according to the significance relation between the illegal parking points in the primary buffer area, the secondary buffer area and the tertiary buffer area and the parking guidance screens at all levels.
In the application, the primary induction screen is arranged on the main road, the secondary induction screen is arranged on the secondary road, and the tertiary induction screen is arranged on the periphery of the parking lot.
The service range of the primary parking induction screen is larger than that of the secondary parking induction screen, and the service range of the secondary parking induction screen is larger than that of the tertiary induction screen. Specifically, the service range of the first-level parking guidance screen is 3km, the service range of the second-level parking guidance screen is 1.5km, and the service range of the third-level parking guidance screen is 0.5km.
The application discloses an influence analysis system of a parking guidance screen on illegal parking behaviors, which comprises a parking guidance screen data acquisition module, an illegal parking data acquisition module, a distribution map construction module, a buffer zone establishment module and a significance relation calculation module.
The parking guidance screen data acquisition module is used for acquiring distribution data of parking guidance screens in an analysis area, wherein the distribution data comprise distribution positions of all levels of parking guidance screens and distribution quantity of the distribution positions, and each level of parking guidance screens comprises a first-level parking guidance screen, a second-level parking guidance screen and a third-level parking guidance screen;
the illegal parking data acquisition module is used for acquiring historical illegal parking data in an analysis area, wherein the historical illegal parking data comprises illegal parking times and longitude and latitude data of intersections corresponding to illegal parking.
The distribution map construction module establishes distribution maps of all levels of parking guidance screens and illegal parking according to the distribution data of the parking guidance screens and the historical illegal parking data in the analysis area.
The buffer zone building module is used for respectively obtaining service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen; and taking the positions of the illegal parking as a buffer center, and respectively establishing a primary buffer zone, a secondary buffer zone and a tertiary buffer zone of the illegal parking point by taking the radiuses corresponding to the service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen as buffer zone radiuses.
The significance relation calculation module obtains the number of parking guidance screens in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone according to the distribution maps of parking guidance screens at all levels and illegal parking, and obtains significance relations between the illegal parking points in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone and the parking guidance screens at all levels according to the number of parking guidance screens in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone.
According to the number of parking guidance screens in the primary buffer area, the secondary buffer area and the tertiary buffer area, the salient relationship between the illegal parking points in the primary buffer area, the secondary buffer area and the tertiary buffer area and the parking guidance screens at all levels is obtained, and the method specifically comprises the following steps: constructing a corresponding relation table between the distribution quantity of each level of parking guidance screens and the quantity of illegal parking behaviors by utilizing the distribution quantity of each level of parking guidance screens in each buffer area, wherein each buffer area comprises a first buffer area, a second buffer area and a third buffer area, and each level of parking guidance screens comprises a first level parking guidance screen, a second level parking guidance screen and a third level parking guidance screen; dividing the number of illegal parking times into two samples by taking the median of the number of illegal parking times as a demarcation point, setting a check field as the distribution number of all levels of parking guidance screens by using a non-parameter check method of an independent sample, and calculating to obtain the statistical significance relation between the distribution number of all levels of parking guidance screens in each buffer area and the number of illegal parking times.
The technical scheme of the application is further described and explained below with reference to specific embodiments.
As shown in fig. 2, the method for analyzing the influence of the parking guidance screen based on the GIS on the illegal parking behavior mainly includes the following steps:
step 1:
(1) Acquiring distribution data of parking guidance screens in salt city, wherein the distribution data comprise distribution positions and distribution quantity of a primary guidance screen, a secondary guidance screen and a tertiary guidance screen;
(2) Acquiring historical illegal parking data of 2021 month 6 to 2022 month 6 in the salt city, wherein the historical illegal parking data comprise the number of illegal parking times and longitude and latitude data of the position of an illegal parking intersection;
step 2:
(1) Inputting longitude and latitude information of distribution positions of induction screens of all levels of the salt city, longitude and latitude data of positions of illegal parking intersections of the salt city and illegal parking times information obtained in the step 1, and establishing a distribution map of the induction screens of all levels of the salt city and the illegal parking based on a GIS;
(2) Setting service ranges of the first, second and third induction screens, namely 3km, 1.5km and 0.5km, based on different installation positions of the induction screens at all levels, namely that the first induction screen is arranged on a main road, the second induction screen is arranged on a secondary road and the third induction screen is arranged on the periphery of a parking lot;
(3) Selecting a position point of a salt city illegal parking intersection, and respectively constructing a first buffer area, a second buffer area and a third buffer area of each illegal parking point of the salt city by taking the service ranges of the first, second and third guidance screens as buffer area radiuses and the illegal parking position as a buffer center;
(4) The distribution map of the salt city illegal parking road mouth buffer area and each level of induction screens is connected, as shown in figures 3, 4 and 5, the number of each level of induction screens of each illegal parking point under different buffer radiuses is further established, and the number of each level of induction screens in each buffer area is measured and calculated as follows:
first-level induction screen
Wherein A represents the distribution quantity of the first-level induction screens in the buffer area, and i is the number of the first-level induction screens in the analysis area;
second-level induction screen
Wherein B represents the distribution quantity of the secondary induction screens in the buffer area, and j is the number of the secondary induction screens in the analysis area;
three-stage induction screen
Wherein, C represents the distribution number of the three-level induction screens in the buffer area, and k is the number of the three-level induction screens in the analysis area.
Step 3:
(1) According to the result of the step 2, constructing a corresponding relation table between the distribution quantity of each level of induction screens and the quantity of illegal parking behaviors by using the measured distribution quantity of each level of induction screens in each buffer zone;
(2) Dividing the number of illegal parking into two samples by taking a median as a demarcation point, setting a check field as the distribution number of each level of induction screens by using a non-parameter check method of an independent sample, and calculating the statistical significance relation between the distribution number of each level of induction screens in the buffer area and the number of illegal parking.
As shown in fig. 3-5, the map is divided into various levels of guidance screens and illegal parking buffer areas in the salt city, wherein the more the number of illegal parking is, the higher the histogram is. It can be seen that in areas where parking guidance screens are more distributed, the number of illegal parking is relatively small.
Table 1 is a table of statistical significance relationship between distribution quantity of induction screens at each level and number of illegal parking times.
TABLE 1
* p.ltoreq.0.05, is significant in the 95% confidence interval.
As shown in Table 1, the statistical significance relation table of the distribution quantity of the induction screens at all levels and the number of illegal parking times shows that the first-level induction screen and the third-level induction screen have no significance influence on the illegal parking behaviors, and the second-level induction screen has significance influence on the illegal parking behaviors. According to the statistical significance relation, the conclusion can be drawn that the influence of the first-level induction screen and the third-level induction screen on the illegal parking behavior is relatively small, and the arrangement of the second-level induction screen can effectively influence the illegal parking behavior, so that the number and the arrangement positions of the second-level induction screens are required to be researched, and the illegal parking behavior is effectively reduced. In this example, the first-level guidance screen is generally disposed on the main road and is far from the parking lot, so that the influence on the illegal parking behavior near the distribution point is not great; the three-level induction screen is generally arranged at the periphery of the parking lot, so that the decision of parking is greatly influenced by personal factors of a driver; the secondary guidance screen is generally arranged on the secondary road, the accessibility is higher, and the parking will of a driver is more definite, so that the illegal parking behavior can be reduced. Therefore, the results of the present embodiment are realistic and have wide applicability.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations and modifications of the present application will be apparent to those of ordinary skill in the art in light of the foregoing description. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the application.

Claims (6)

1. The method for analyzing the influence of the parking guidance screen on the illegal parking behavior is characterized by comprising the following steps of:
s1, acquiring distribution data of parking guidance screens in an analysis area, wherein the distribution data comprise distribution positions of all levels of parking guidance screens and distribution quantity of the distribution positions, and each level of parking guidance screens comprises a first-level parking guidance screen, a second-level parking guidance screen and a third-level parking guidance screen;
s2, acquiring historical illegal parking data in an analysis area, wherein the historical illegal parking data comprise illegal parking times and longitude and latitude data of an intersection corresponding to the illegal parking;
s3, according to the distribution data of the parking guidance screens and the historical illegal parking data in the analysis area, establishing a distribution map of each level of parking guidance screens and the illegal parking;
s4, respectively obtaining service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen; taking the illegal parking position as a buffer center, and respectively establishing a primary buffer zone, a secondary buffer zone and a tertiary buffer zone of the illegal parking point by taking the radius corresponding to the service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen as the radius of the buffer zone;
s5, according to the parking guidance screens at all levels and the distribution map of illegal parking, the number of the parking guidance screens in the primary buffer area, the secondary buffer area and the tertiary buffer area is respectively obtained, and the method comprises the following steps:
distribution number of first-level induction screens in buffer zoneWherein i is the number of the first-level induction screen in the analysis area;
distribution number of secondary induction screens in buffer zoneJ is the number of the secondary induction screen in the analysis area;
three-level induction screen distribution number in buffer zoneWherein k is the number of the three-level induction screen in the analysis area;
s6, according to the number of parking guidance screens in the primary buffer area, the secondary buffer area and the tertiary buffer area, obtaining the significance relation between the illegal parking points in the primary buffer area, the secondary buffer area and the tertiary buffer area and the parking guidance screens at all levels, wherein the method comprises the following steps:
s61, constructing a corresponding relation table between the distribution quantity of each level of parking guidance screens and the quantity of illegal parking behaviors by utilizing the distribution quantity of each level of parking guidance screens in each buffer area, wherein each buffer area comprises a first buffer area, a second buffer area and a third buffer area, and each level of parking guidance screens comprises a first level parking guidance screen, a second level parking guidance screen and a third level parking guidance screen;
s62, dividing the number of illegal parking times into two samples by taking the median of the number of illegal parking times as a demarcation point, setting a test field as the distribution number of all levels of parking guidance screens by using a non-parameter test method of independent samples, and calculating to obtain the statistical significance relation between the distribution number of all levels of parking guidance screens in each buffer area and the number of illegal parking times.
2. The method for analyzing the influence of the parking guidance screen on the illegal parking behavior according to claim 1, wherein in S3, a distribution map of each level of parking guidance screen and the illegal parking is established based on GIS.
3. The method for analyzing the influence of the parking guidance screen on the illegal parking behavior according to claim 1, wherein the primary parking guidance screen is arranged on a main road, the secondary parking guidance screen is arranged on a secondary main road, and the tertiary parking guidance screen is arranged on the periphery of a parking lot.
4. The method for analyzing the influence of a parking guidance screen on a parking behavior according to claim 1, wherein the service range of the primary parking guidance screen is larger than the service range of the secondary parking guidance screen, and the service range of the secondary parking guidance screen is larger than the service range of the tertiary guidance screen.
5. The method for analyzing the influence of a parking guidance screen on illegal parking behavior according to claim 1, wherein the service range of the primary parking guidance screen is 3km, the service range of the secondary parking guidance screen is 1.5km, and the service range of the tertiary parking guidance screen is 0.5km.
6. A system for analyzing the effect of a parking guidance screen on a parking behavior in violation, comprising:
the parking guidance screen data acquisition module is used for acquiring distribution data of parking guidance screens in an analysis area, wherein the distribution data comprise distribution positions of all levels of parking guidance screens and distribution quantity of the distribution positions, and each level of parking guidance screens comprises a primary parking guidance screen, a secondary parking guidance screen and a tertiary parking guidance screen;
the system comprises a illegal parking data acquisition module, a data analysis module and a data analysis module, wherein the illegal parking data acquisition module is used for acquiring historical illegal parking data in an analysis area, and the historical illegal parking data comprises illegal parking times and longitude and latitude data of an intersection corresponding to illegal parking;
the distribution map construction module is used for establishing distribution maps of all levels of parking guidance screens and illegal parking according to the distribution data of the parking guidance screens and the historical illegal parking data in the analysis area;
the buffer zone building module is used for respectively obtaining service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen; taking the illegal parking position as a buffer center, and respectively establishing a primary buffer zone, a secondary buffer zone and a tertiary buffer zone of the illegal parking point by taking the radius corresponding to the service ranges of the primary parking guidance screen, the secondary parking guidance screen and the tertiary parking guidance screen as the radius of the buffer zone;
the significance relation calculation module is used for respectively obtaining the number of parking guidance screens in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone according to the distribution maps of parking guidance screens at all levels and illegal parking, and obtaining significance relation between the illegal parking points in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone and the parking guidance screens at all levels according to the number of parking guidance screens in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone;
according to the distribution maps of parking guidance screens at all levels and illegal parking, the number of the parking guidance screens in the primary buffer area, the secondary buffer area and the tertiary buffer area is respectively obtained, and the method comprises the following steps:
distribution number of first-level induction screens in buffer zoneWherein i is the number of the first-level induction screen in the analysis area;
distribution number of secondary induction screens in buffer zoneJ is the number of the secondary induction screen in the analysis area;
three-level induction screen distribution number in buffer zoneWherein k is the number of the three-level induction screen in the analysis area; according to the number of parking guidance screens in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone, the salient relationship between the illegal parking points in the primary buffer zone, the secondary buffer zone and the tertiary buffer zone and the parking guidance screens at all levels is obtained, and the method specifically comprises the following steps:
constructing a corresponding relation table between the distribution quantity of each level of parking guidance screens and the quantity of illegal parking behaviors by utilizing the distribution quantity of each level of parking guidance screens in each buffer area, wherein each buffer area comprises a first buffer area, a second buffer area and a third buffer area, and each level of parking guidance screens comprises a first level parking guidance screen, a second level parking guidance screen and a third level parking guidance screen;
dividing the number of illegal parking times into two samples by taking the median of the number of illegal parking times as a demarcation point, setting a check field as the distribution number of all levels of parking guidance screens by using a non-parameter check method of an independent sample, and calculating to obtain the statistical significance relation between the distribution number of all levels of parking guidance screens in each buffer area and the number of illegal parking times.
CN202211255375.3A 2022-10-13 2022-10-13 Method and system for analyzing influence of parking guidance screen on illegal parking behavior Active CN115830846B (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000337915A (en) * 1999-05-25 2000-12-08 Kenwood Corp Vehicle running guidance equipment with information function of traffic law information
KR101753804B1 (en) * 2016-12-01 2017-07-04 (주)아이엠시티 ALLIMI System against Parking and Stopping Violation Car Using AI
CN109147378A (en) * 2018-08-09 2019-01-04 武汉中科通达高新技术股份有限公司 Parking induction method in a kind of parking lot
CN112562098A (en) * 2020-12-03 2021-03-26 浙江信电技术股份有限公司 Intelligent parking charging and parking guidance and violation punishment system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000337915A (en) * 1999-05-25 2000-12-08 Kenwood Corp Vehicle running guidance equipment with information function of traffic law information
KR101753804B1 (en) * 2016-12-01 2017-07-04 (주)아이엠시티 ALLIMI System against Parking and Stopping Violation Car Using AI
CN109147378A (en) * 2018-08-09 2019-01-04 武汉中科通达高新技术股份有限公司 Parking induction method in a kind of parking lot
CN112562098A (en) * 2020-12-03 2021-03-26 浙江信电技术股份有限公司 Intelligent parking charging and parking guidance and violation punishment system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
区域停车诱导标志分级设计研究;王军芝;戴斌;梁承愿;;西部交通科技(第08期) *
国内停车诱导系统应用浅析;张晓;;中国勘察设计(第08期) *

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