CN115049334A - Statistical analysis method, equipment and storage medium for waterway transportation demand - Google Patents
Statistical analysis method, equipment and storage medium for waterway transportation demand Download PDFInfo
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Abstract
The application discloses statistical analysis method, equipment and storage medium for waterway transportation demands, wherein the method comprises the following steps: carrying out key investigation on each port, acquiring flow direction data of goods at each port, and constructing a waterway goods OD table; constructing a waterway transportation model, and determining each freight OD waterway transportation path; path distribution is adopted, waterway transportation requirements are distributed to all waterway transportation paths, and waterway transportation indexes are calculated; detecting the result of the waterway transportation index; and screening and eliminating abnormal data, obtaining a calculation result, and outputting statistical analysis data corresponding to the waterway transportation indexes. According to the method, the device and the storage medium for statistical analysis of the water route transportation demands, basic data investigation, transportation model construction, index statistical analysis and analysis result output are adopted, the technical problem that the statistical data are not matched with the real water transportation situation of the water route transportation quantity in the statistical area is solved, and the technical effect that the data of the statistical data are matched with the real water transportation situation of the water route transportation quantity in the statistical area is achieved.
Description
Technical Field
The application relates to the field of traffic transportation statistics, in particular to a statistical analysis method, device and storage medium for waterway transportation demands.
Background
At present, the statistical investigation method of the waterway transportation volume is to implement a regular statistical reporting system in a mode of combining comprehensive investigation and key investigation, to implement step-by-step reporting or direct reporting, and finally to perform summary statistical analysis by a competent department, wherein the statistical method is to respectively perform summary analysis according to different returning ports, so as to obtain basic indexes of the waterway transportation volume, the cargo turnover volume, the port cargo handling capacity and the like, and relevant indexes of the port container molten iron combined transportation volume, the large transportation volume, freight ships and the like.
The current water route traffic statistical investigation method mainly has the problem that relevant statistical data are not matched with the real water route traffic condition of the water route traffic in a statistical area.
The above is only for the purpose of assisting understanding of the technical solutions of the present application, and does not represent an admission that the above is prior art.
Disclosure of Invention
The application mainly aims to provide a statistical analysis method, equipment and a storage medium for waterway transportation demands, and aims to solve the technical problem that statistical data are not matched with real waterway transportation conditions in a statistical area.
In order to achieve the above object, the present application provides a statistical analysis method for waterway transportation requirements, the method comprising:
constructing a waterway cargo OD table based on the cargo flow direction data of each port in the investigation region;
constructing a waterway transportation model of each port cargo in an investigation region based on the cargo source area, the channel and the port distribution of the cargo;
determining each freight OD waterway transportation path according to the waterway transportation model;
acquiring a waterway transportation index value according to the waterway cargo OD table and the waterway transportation path;
obtaining a characteristic value of the waterway transportation index value;
and obtaining statistical analysis data corresponding to the waterway transportation index value according to the characteristic value of the waterway transportation index value.
Optionally, the obtaining the characteristic value of the waterway transportation index value includes:
screening and eliminating abnormal data in the waterway transportation index value;
and obtaining the characteristic value of the waterway transportation index value based on the average value and the proportion of the waterway transportation index value after the abnormal data is removed.
Optionally, constructing a waterway cargo OD table based on the cargo flow direction data of each port in the investigation region, including:
sampling survey is carried out on all ports in a survey area, the transportation origin and destination points of all main goods and main goods are surveyed, and a waterway goods OD table is constructed according to the origin and destination points.
Optionally, after determining the waterway transportation path between the freight origination and destination points according to the waterway transportation model, the method further includes:
establishing each OD transport distance matrix D according to the waterway transport path ij ；
Judging whether each OD transport path passes through a water system or not according to the analysis of the water transport paths, and establishing a transport path judgment matrix A of each water system ij ；
The obtaining a waterway transportation index value according to the waterway cargo OD table and the waterway transportation path comprises:
and acquiring a waterway transportation index value according to each OD transportation distance matrix, each water system transportation path distinguishing matrix, the waterway cargo OD table and the waterway transportation path.
Optionally, the waterway transportation index value comprises a cargo-classified and river-classified cargo transportation quantity, a city and state cargo-classified finished cargo transportation quantity, a regional cargo transportation quantity, a cargo-classified and river-classified cargo turnover quantity, a city and state cargo-classified finished cargo turnover quantity and a regional cargo turnover quantity.
Optionally, the obtaining a waterway transportation index value according to each OD transportation distance matrix, each water system transportation path determination matrix, the waterway cargo OD table, and the waterway transportation path includes:
obtaining the cargo classification river cargo transportation quantity according to the following relational expression:
the goods-classifying and river-classifying freight volume Q K ：
Wherein: f ij Representing the volume of cargo traffic carried by dock i to dock j;
A ij whether the wharf i to the wharf j pass through the water system or not is represented, a value of 1 represents that a path passes through the water system, and a value of 0 represents that the path does not pass through the water system;
a represents the number of wharves in the first subregion;
b represents the number of wharves in the second sub-area;
m represents the number of wharves in the mth sub-area;
n represents the number of wharves in all sub-areas.
Optionally, the obtaining a waterway transportation index value according to each OD transportation distance matrix, each water system transportation path determination matrix, the waterway cargo OD table, and the waterway transportation path includes:
obtaining the finished shipment quantity F of the city classification according to the following relational expression 1 ：
Obtaining the regional freight quantity F according to the following relational expression 2 ：
Wherein: f ij Representing the volume of cargo traffic carried by dock i to dock j;
O j representing the arrival traffic of the cargo at dock j;
I i representing the delivery volume of the cargo at the wharf i;
a represents the number of wharves in the first subregion;
b represents the number of wharfs in the second subregion.
Optionally, the obtaining a waterway transportation index value according to the each OD transportation distance matrix, the each water system transportation path determination matrix, the waterway cargo OD table, and the waterway transportation path includes:
obtaining the goods turnover quantity P of the goods classified into the categories and the rivers according to the following relational expression K ：
Obtaining the finished goods turnover T of the city branch classes according to the following relational expression 1 ：
Obtaining the goods turnover quantity T of the subareas according to the following relational expression 2 ：
Wherein, T ij ＝F ij *D ij ，；
F ij Representing the volume of cargo traffic carried by dock i to dock j;
D ij representing the waterway transportation distance from the wharf i to the wharf j;
A ij whether the wharf i to the wharf j pass through the water system or not is represented, a value of 1 represents that a path passes through the water system, and a value of 0 represents that the path does not pass through the water system;
a represents the number of wharves in the first subregion;
b represents the number of wharves in the second sub-area;
m represents the number of wharves in the mth sub-area;
n represents the number of wharves in all sub-areas.
In addition, in order to achieve the above object, the present application further provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the processor executes the computer program, so as to implement a statistical analysis method for transportation demand in a water route.
In addition, in order to achieve the above object, the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and a processor executes the computer program to implement a statistical analysis method for demand of transportation in a water route.
The beneficial effect that this application can realize:
this application is through basic data investigation, transportation model construction, index statistical analysis and analysis result output, obtains water route transportation demand statistical analysis data, because basic data investigation and transportation model construction for the interior water route transportation actual conditions of reflection region that the statistical data that obtains can be better, index statistical analysis and analysis result output that carry out are basically matched with place administrative region, and can be more accurate master intra-area freight traffic flow direction. In addition, as each index obtained by the method is utilized, a reasonable transportation model is constructed through basic data investigation, and the waterway transportation index value is calculated according to the reasonable transportation model, so that the characteristic value of the waterway transportation index value is obtained; according to the characteristic value of the waterway transportation index, statistical analysis data corresponding to the waterway transportation index is obtained, so that real statistical analysis data is obtained, the method can eliminate data contradiction, the water transportation volume and port throughput results can be basically consistent, and the condition of contradiction between self-consistency is eliminated; the data of the statistical data are matched with the real water transportation situation of the water transportation quantity in the statistical area, and the technical problem that the statistical data are not matched with the real water transportation situation of the water transportation quantity in the statistical area is solved.
According to the statistical analysis method, the statistical analysis equipment and the storage medium for the water path transportation demand, the technical problem that the statistical data are not matched with the real water transportation situation of the water path transportation quantity in the statistical area is solved through basic data investigation, transportation model construction, index statistical analysis and analysis result output, and the technical effect that the data of the statistical data are matched with the real water transportation situation of the water path transportation quantity in the statistical area is achieved.
Drawings
Fig. 1 is a schematic structural diagram of an electronic device in a hardware operating environment according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating a statistical analysis method for waterway transportation demand according to an embodiment of the present application;
the implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, the meaning of "and/or" appearing throughout includes three juxtapositions, exemplified by "A and/or B" including either A or B or both A and B. In addition, technical solutions between the embodiments may be combined with each other, but must be based on the realization of the technical solutions by a person skilled in the art, and when the technical solutions are contradictory to each other or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
Referring to fig. 1, a first embodiment of the present application provides a statistical analysis method for demand of waterway transportation, including:
constructing a waterway cargo OD table based on the cargo flow direction data of each port in the investigation region;
constructing a waterway transportation model of each port cargo in an investigation region based on the cargo source area, the channel and the port distribution of the cargo;
determining each freight OD waterway transportation path according to the waterway transportation model;
acquiring a waterway transportation index value according to the waterway cargo OD table and the waterway transportation path;
obtaining a characteristic value of the waterway transportation index value;
and obtaining statistical analysis data corresponding to the waterway transportation index value according to the characteristic value of the waterway transportation index value.
OD is a beginning-end point, which is a common expression mode in the field, and the conventional waterway traffic statistical investigation method mainly has the following two problems; firstly, the system takes ships in administrative areas as survey objects, takes XX province as an example, and relevant statistical data is a set of XX ship data, so that the current statistical data contains the condition that XX ships operate outside the province, but the water transportation quantity of the XX ships in the province can not be included, and the water transportation quantity is not matched with the real water transportation condition of the water transportation quantity of the XX province. Secondly, the existing water transportation statistics survey system separately counts the water transportation volume and the port throughput, does not consider the correlation relationship, and has the phenomenon of data contradiction.
In order to solve the above problems, a statistical analysis method for waterway transportation requirements is shown in fig. 1, and the statistical analysis method for waterway transportation requirements is a statistical analysis method for waterway transportation requirements based on OD survey, and includes the following steps:
constructing a waterway cargo OD table based on the cargo flow direction data of each port in the investigation region; for the basic data investigation phase: carrying out key investigation on each port, acquiring flow direction data of goods at each port, and constructing a waterway goods OD table;
constructing a waterway transportation model of each port cargo in an investigation region based on the cargo source area, the channel and the port distribution of the cargo;
determining each freight OD waterway transportation path according to the waterway transportation model;
and (3) constructing a transportation model: according to the distribution conditions of a cargo source place, a channel and a port, constructing a waterway transportation model, and determining waterway transportation paths among freight starting and finishing points, namely determining waterway transportation paths of freight OD;
acquiring a waterway transportation index value according to the waterway cargo OD table and the waterway transportation path; for the index statistical analysis stage: calculating a waterway transportation index value according to the waterway cargo OD table and the waterway transportation path; the embodiment specifically includes: and according to the waterway cargo OD table and the waterway transportation paths, path distribution is adopted, waterway transportation requirements are distributed to the waterway transportation paths, and waterway transportation index values are calculated according to the waterway transportation requirements. The embodiment adopts an optimal path distribution method to distribute the waterway transportation demand to each transportation path, and calculates index values such as waterway freight volume, cargo turnover volume, port cargo throughput and the like according to the waterway transportation demand;
obtaining a characteristic value of the waterway transportation index value;
and obtaining statistical analysis data corresponding to the waterway transportation index value according to the characteristic value of the waterway transportation index value. And (3) outputting an analysis result: obtaining a characteristic value of the waterway transportation index value; and obtaining statistical analysis data corresponding to the waterway transportation index value according to the characteristic value of the waterway transportation index value. The embodiment specifically includes: detecting the result of the waterway transportation index value; according to the detection result, screening abnormal data, eliminating the abnormal data, calculating the mean value and the proportion, and performing statistical test to obtain a calculation result, wherein the calculation result is a characteristic value; and outputting statistical analysis data corresponding to the waterway transportation index according to the calculation result, wherein the statistical analysis data is the output related report and the attached drawing.
This application is through basic data investigation, transportation model construction, index statistical analysis and analysis result output, obtains water route transportation demand statistical analysis data, because basic data investigation and transportation model construction for the interior water route transportation actual conditions of reflection region that the statistical data that obtains can be better, index statistical analysis and analysis result output that carry out are basically matched with place administrative region, and can be more accurate master intra-area freight traffic flow direction. In addition, each index obtained by the method is constructed through basic data investigation, and meanwhile, through index statistical analysis and analysis result output, the waterway transportation demand is distributed to each waterway transportation path, and the waterway transportation index value is calculated, through detection, according to the detection result, abnormal data is screened, the abnormal data is removed, the mean value and the proportion are calculated, and statistical test is carried out, so that the characteristic value of the waterway transportation index value is obtained; and outputting statistical analysis data corresponding to the waterway transportation index according to the characteristic value of the waterway transportation index value. The data contradiction can be eliminated, the water transportation volume and the port throughput result can be basically consistent, and the self-contradiction condition can be eliminated; the data of the statistical data are matched with the real water transportation situation of the water transportation quantity in the statistical area, and the technical problem that the statistical data are not matched with the real water transportation situation of the water transportation quantity in the statistical area is solved.
The obtaining of the characteristic value of the waterway transportation index value comprises:
screening and eliminating abnormal data in the waterway transportation index value;
and obtaining the characteristic value of the waterway transportation index value based on the average value and the proportion of the waterway transportation index value after the abnormal data is removed.
Based on the flow and direction data of the goods at each port in the investigation region, a waterway goods OD table is constructed, which comprises the following steps:
sampling survey is carried out on all ports in a survey area, the transportation origin and destination points of all main goods and main goods are surveyed, and a waterway goods OD table is constructed according to the origin and destination points.
The method comprises the following steps of performing key investigation on each port, obtaining flow and flow direction data of cargos of each port, and constructing a waterway cargo OD meter, wherein the key investigation comprises sampling investigation on each port, investigation of transportation origin-destination points of each main cargo and main cargo, and construction of the waterway cargo OD meter according to the origin-destination points, as shown in Table 1:
TABLE 1 LONG-DISTANCE WAY GOODS MATRIX IN A certain category
Wherein: f ij Representing the volume of cargo traffic carried by dock i to dock j; o is i Indicating the arrival volume of the cargo at the wharf i; i is j Representing the delivery volume of the cargo at dock j.
a represents the number of wharfs in the first sub-area;
b represents the number of wharves in the second sub-area;
m represents the number of wharves in the mth sub-area;
n represents the number of wharves in all sub-areas.
As shown in table 1, a represents the number of terminals in state 1; b represents the number of terminals in state 2; n represents the total number of docks in zone 1.
After determining the waterway transportation path between the freight starting and ending points according to the waterway transportation model, the method further comprises:
establishing a waterway transportation path according to the waterway transportation pathEach OD transport distance matrix, which is recorded as: d ij As shown in table 2;
and according to the waterway transportation path analysis, judging whether each OD transportation path passes through a certain water system, and establishing a water system transportation path judgment matrix, wherein the water system transportation path judgment matrix is recorded as: a. the ij (ii) a As shown in table 3.
The acquiring a waterway transportation index value according to the waterway cargo OD table and the waterway transportation path comprises:
and acquiring a waterway transportation index value according to each OD transportation distance matrix, each water system transportation path distinguishing matrix, the waterway cargo OD table and the waterway transportation path.
Constructing a waterway transportation model according to the distribution of a channel and a port in a research area; determining a waterway transportation path according to each OD position, and establishing each OD transportation distance matrix; as shown in table 2:
TABLE 2-long-haul waterway distance matrix
| From/To | Wharf 1 | Wharf 2 | ... | Wharf n |
| Wharf 1 | 0 | D 12 | ... | D 1n |
| Wharf 2 | D 21 | 0 | ... | D 2n |
| ... | ... | ... | ... | ... |
| Wharf n | D n1 | D n2 | ... | 0 |
Wherein: dij represents the waterway transport distance from dock i to dock j.
From the waterway transportation path analysis, it is determined whether each OD transportation path passes through a water system, thereby establishing each water system transportation path decision matrix, as shown in table 3:
TABLE 3 discrimination matrix for long-distance waterway transportation of a water system path
| From/To | Wharf 1 | Wharf2 | ... | Wharf n |
| Wharf 1 | 0 | A 12 | ... | A 1n |
| Wharf 2 | A 21 | 0 | ... | A 2n |
| ... | ... | ... | ... | ... |
| Wharf n | A n1 | A n2 | ... | 0 |
Wherein A is ij A value of 1 indicates that the path passes through the water system, and a value of 0 indicates that the path does not pass through the water system.
The waterway transportation indexes comprise a cargo classification and river cargo transportation amount, a city and state cargo classification finished cargo transportation amount, a regional cargo transportation amount, a cargo classification and river cargo turnover amount, a city and state cargo classification finished cargo turnover amount and a regional cargo turnover amount.
Calculating the river freight volume classified according to the classification of the goods according to the distinguishing matrix of the transportation path of each water system, and recording the river freight volume classified according to the classification of the goods as Q K ，Q K The expression of (a) is:
Q K the shipway generates transportation volume-first sub-area repeat transportation volume and interval short-distance transportation volume-second sub-area repeat transportation volume and interval short-distance transportation volume- · -mth sub-area repeat transportation volume and interval short-distance transportation volume.
Q K The mathematical expression of (a) is:
as shown in tables 1 and 2, F ij Representing the volume of cargo traffic carried by dock i to dock j;
D ij representing the waterway transportation distance from the wharf i to the wharf j;
A ij whether the wharf i to the wharf j pass through the water system or not is represented, a value of 1 represents that a path passes through the water system, and a value of 0 represents that the path does not pass through the water system;
a represents the number of wharves in the first subregion;
b represents the number of wharves in the second sub-area;
m represents the number of wharves in the mth sub-area;
n represents the number of wharves in all sub-areas.
The sub-regions represent the states, i.e., state 1 is the first sub-region, state 2 is the second sub-region, and so on.
Dock 1 through dock a belongs to state 1, dock a +1 through dock b belongs to state 2, …, and dock n-m +1 through dock n belongs to state m.
As shown in table 1, a represents the number of terminals in state 1; b represents the number of terminals in state 2; n represents the total number of docks in zone 1.
The purpose of rejecting the individual state shipments is to reject the individual state shipments because the inter-state shipments are considered to be inter-regional short haul shipments.
Said cityThe finished shipment volume in the state classification is recorded as F 1 ，F 1 The expression of (a) is:
F 1 and (4) the arrival amount of each wharf + the sending amount of each wharf-the interval transportation amount and the repeated transportation amount.
F 1 The mathematical expression of (a) is:
wherein: wharf 1 to wharf a belong to state 1.
The regional freight volume is recorded as F 2 ，F 2 The expression of (a) is:
F 2 area arrival amount + area transmission amount-repeat traffic amount and inter-city area traffic amount.
F 2 The mathematical expression of (a) is:
wherein: dock 1 through dock a belong to state 1, dock a +1 through dock b belong to state 2, and both state 1 and state 2 belong to region 1.
Calculating the goods turnover amount according to the OD transportation distance matrixes, and recording the goods turnover amount of the goods classified into the river as P K ，P K The expression of (a) is:
P K the shipway generates turnover-first city repeat and interval short-distance turnover-second city repeat and interval short-distance turnover-mth city repeat and interval short-distance turnover for each wharf.
P K The mathematical expression of (a) is:
a represents the number of wharves in the first subregion;
b represents the number of wharves in the second sub-area;
m represents the number of wharves in the mth sub-area;
n represents the number of wharves in all sub-areas.
The sub-area means the state, i.e. state 1 is the first sub-area, state 2 is the second sub-area, and so on.
Dock 1 through dock a belongs to state 1, dock a +1 through dock b belongs to state 2, …, and dock n-m +1 through dock n belongs to state m.
The finished goods turnover number of the city and state goods classification is recorded as T 1 ，T 1 The expression of (a) is:
T 1 the arrival turnover of each dock + the transmission turnover of each dock-interval and the repeated turnover.
T 1 The mathematical expression of (a) is:
wherein: wharf 1 to wharf a belong to state 1.
The goods turnover quantity of the subareas is recorded as T 2 ，T 2 The expression of (a) is:
T 2 area arrival turnover + area transmission turnover-repeat and city interval turnover.
T 2 The mathematical expression of (a) is:
wherein: dock 1 through dock a belong to state 1, dock a +1 through dock b belong to state 2, and both state 1 and state 2 belong to region 1.
By using the statistical analysis method for the waterway transportation demand, the acquired statistical data can better reflect the actual condition of waterway transportation in the region, basically match with the administrative region, and can more accurately master the flow direction of cargo transportation in the region. The indexes obtained by the method can eliminate data contradiction, and the results of water transport volume and port throughput are basically consistent, thereby eliminating the self-contradictory condition.
As shown in fig. 1, the electronic device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Furthermore, in an embodiment, an embodiment of the present application further provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory, and when the computer program is executed by the processor, the steps of the method in the foregoing embodiments are implemented.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a data storage module, a network communication module, a user interface module, and an electronic program.
In the electronic apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the electronic device of the present invention may be disposed in the electronic device, and the electronic device calls the component structural strength design device stored in the memory 1005 through the processor 1001, and executes the statistical analysis method for waterway transportation requirements provided in the embodiments of the present application.
Furthermore, in an embodiment, an embodiment of the present application further provides a computer storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement the steps of the method in the foregoing embodiments.
In some embodiments, the computer-readable storage medium may be memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash, magnetic surface memory, optical disk, or CD-ROM; or may be various devices including one or any combination of the above memories. The computer may be a variety of computing devices including intelligent terminals and servers.
In some embodiments, executable instructions may be written in any form of programming language (including compiled or interpreted languages), in the form of programs, software modules, scripts or code, and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
By way of example, executable instructions may correspond, but do not necessarily have to correspond, to files in a file system, and may be stored in a portion of a file that holds other programs or data, such as in one or more scripts in a hypertext Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code).
By way of example, executable instructions may be deployed to be executed on one computing device or on multiple computing devices at one site or distributed across multiple sites and interconnected by a communication network.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a multimedia terminal (e.g., a mobile phone, a computer, a television receiver, or a network device) to execute the method according to the embodiments of the present application.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (10)
1. A statistical analysis method for waterway transportation demand is characterized by comprising the following steps:
constructing a waterway cargo OD table based on the cargo flow direction data of each port in the investigation region;
constructing a waterway transportation model of each port cargo in an investigation region based on the cargo source area, the channel and the port distribution of the cargo;
determining waterway transportation paths of the freight transportation ODs according to the waterway transportation models;
acquiring a waterway transportation index value according to the waterway cargo OD table and the waterway transportation path;
obtaining a characteristic value of the waterway transportation index value;
and obtaining statistical analysis data corresponding to the waterway transportation index value according to the characteristic value of the waterway transportation index value.
2. The method for statistically analyzing the demand for waterway transportation according to claim 1, wherein the obtaining the characteristic value of the index value of waterway transportation comprises:
screening and eliminating abnormal data in the waterway transportation index value;
and obtaining the characteristic value of the waterway transportation index value based on the average value and the proportion of the waterway transportation index value after the abnormal data is removed.
3. The statistical analysis method for demand of waterway transportation according to claim 1, wherein the step of constructing the OD table of waterway cargos based on the flow direction data of cargos at each port in the investigation region comprises:
sampling survey is carried out on all ports in a survey area, the transportation origin and destination points of all main goods and main goods are surveyed, and a waterway goods OD table is constructed according to the origin and destination points.
4. The method of claim 1, wherein after determining the waterway transportation path between the origin and destination of each shipment according to the waterway transportation model, the method further comprises:
establishing each OD transport distance matrix D according to the waterway transport path ij ；
Judging whether each OD transport path passes through a water system or not according to the analysis of the water transport paths, and establishing a transport path judgment matrix A of each water system ij ；
The obtaining a waterway transportation index value according to the waterway cargo OD table and the waterway transportation path comprises:
and acquiring waterway transportation index values according to the OD transportation distance matrixes, the water transportation path distinguishing matrixes, the waterway cargo OD tables and the waterway transportation paths.
5. The statistical analysis method for the waterway transportation demand according to claim 4, wherein the waterway transportation index value comprises a branch river transportation quantity of the branch goods type, a local state branch goods completion transportation quantity, a regional transportation quantity, a branch river transportation quantity of the branch goods type, a local state branch goods completion transportation quantity and a regional transportation quantity of the branch goods.
6. The method of claim 5, wherein the obtaining waterway transportation target values according to the OD transportation distance matrices, the waterway transportation path decision matrices, the waterway cargo OD tables, and the waterway transportation paths comprises:
obtaining the cargo classification river cargo transportation quantity according to the following relational expression:
the goods-sorting and river-sorting freight volume Q K ：
Wherein: f ij Representing the volume of cargo traffic carried by dock i to dock j;
A ij whether the wharf i to the wharf j pass through the water system or not is represented, a value of 1 represents that a path passes through the water system, and a value of 0 represents that the path does not pass through the water system;
a represents the number of wharves in the first subregion;
b represents the number of wharves in the second sub-area;
m represents the number of wharves in the mth sub-area;
n represents the number of wharves in all sub-areas.
7. The method of claim 5, wherein the obtaining waterway transportation target values according to the OD transportation distance matrices, the waterway transportation path decision matrices, the waterway cargo OD tables, and the waterway transportation paths comprises:
obtaining the finished goods transportation quantity F of the city branch goods class according to the following relational expression 1 ：
Obtaining the regional freight quantity F according to the following relational expression 2 ：
Wherein: f ij Representing the volume of cargo traffic carried by dock i to dock j;
O j representing the arrival traffic of the cargo at dock j;
I i representing the delivery volume of the cargo at the wharf i;
a represents the number of wharves in the first subregion;
b represents the number of wharfs in the second subregion.
8. The method of claim 5, wherein the obtaining waterway transportation index values according to the OD transportation distance matrices, the water transportation path determination matrices, the waterway cargo OD tables, and the waterway transportation paths comprises:
obtaining the goods turnover quantity P of the goods classified into the categories and the rivers according to the following relational expression K ：
Obtaining the finished goods turnover T of the city and state classification according to the following relational expression 1 ：
Obtaining the goods turnover quantity T of the subareas according to the following relational expression 2 ：
Wherein, T ij ＝F ij *D ij ，；
F ij Representing the volume of cargo traffic carried by dock i to dock j;
D ij representing the waterway transportation distance from the wharf i to the wharf j;
A ij whether the wharf i to the wharf j pass through the water system or not is represented, a value of 1 represents that a path passes through the water system, and a value of 0 represents that the path does not pass through the water system;
a represents the number of wharves in the first subregion;
b represents the number of wharves in the second sub-area;
m represents the number of wharves in the mth sub-area;
n represents the number of wharves in all sub-areas.
9. An electronic device, characterized in that the electronic device comprises a memory in which a computer program is stored and a processor, which executes the computer program to implement the method according to any of claims 1-8.
10. A computer-readable storage medium, having a computer program stored thereon, which, when executed by a processor, performs the method of any one of claims 1-8.
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