1. A public transport network health index algorithm constructed based on network related characteristics is characterized by comprising the following steps: step one, statistics of net characteristics: the method comprises the steps of counting 3 static indexes related to a public traffic network by using a big data related technology, wherein the 3 static indexes are average line length, network density and repetition coefficient respectively, counting a network travel demand index and a network passenger flow coefficient index, and describing the health condition of the public traffic network by using the 5 indexes; step two, calculating a net health index: after 5 dimensional data of average line length, line network density, repetition coefficient, travel demand index and bus passenger flow coefficient are obtained, firstly, data are standardized, and then, weighting summation is carried out by using the weight corresponding to each dimension to obtain the health index of the line network.

2. The public transportation network health index algorithm constructed based on the network related characteristics as claimed in claim 1, wherein the average line length is a ratio of the total length of the public transportation line to the number of lines.

3. The public transportation network health index algorithm constructed based on the network related features of claim 1, wherein the network density is a ratio of the total length of the center lines of the roads through which the public transportation lines pass in a certain area to the area of the area, and is expressed as kilometers per square kilometer, or is a ratio of the road mileage of the lines laid in the area to the area of the urban area with public transportation services.

4. The public transportation network health index algorithm constructed based on the relevant characteristics of the network as claimed in claim 1, wherein the repetition factor is the ratio of the total length of the public transportation line to the length of the network in the area, and is also the ratio of the line density to the network density, wherein the line density is the ratio of the total length of the public transportation line to the area of the urban land with public transportation service, and the network density is the ratio of the road mileage of the arranged line in the area to the area of the urban land with public transportation service.

5. The public transportation network health index algorithm constructed based on the relevant characteristics of the network as claimed in claim 1, wherein the travel demand index is an expected value of the public for public transportation service, and covers indexes constructed from multiple dimensions of public facility matching, humanistic care, convenience demand, coverage of people, fare concessions, and the like, so as to accurately define the demand characteristics of the public transportation line.

6. The public transportation network health index algorithm constructed based on the network related features as claimed in claim 1, wherein the public transportation passenger flow coefficient is an actual value of public service enjoyment, and covers an index constructed from multiple dimensions of passenger capacity, line revenue ratio, full load rate, departure interval, average speed and nonlinear coefficient, so as to accurately describe the supply condition of the public transportation line.

7. The public transportation network health index algorithm constructed based on the relevant characteristics of the network as claimed in any one of claims 1 to 6, wherein the network travel demand index is calculated by the following formula:。

8. the public transportation network health index algorithm constructed based on the relevant characteristics of the network as claimed in claim 7, wherein the public transportation passenger flow coefficient of the network is calculated by the following formula:。

9. the public transportation net health index algorithm constructed based on the net related features of claim 8, wherein the net health score is calculated as: (1) dividing the calculated scores of 5-100 in the previous step by 100 respectively according to the net travel demand index and the net bus passenger flow coefficient, so that the corresponding values become numerical values between 0.05 and 1; (2)；(ii) a Net density score = w3 × net density; repetition coefficient score = w5 repetition coefficient; the average line length score = w5 average line length, | wherein w1, w2, w3, w4 and w5 are respectively a net travel demand index, a net bus passenger flow coefficient, a net density, a repetition coefficient and the weight occupied by the average line length; (3) the health index of the net is calculated as follows:。

Background

The method comprises the steps of selecting 3 static indexes related to a public traffic network, a network travel demand index and a network passenger flow coefficient index, and describing the health condition of the public traffic network through the 5 indexes. Namely, the net health index is obtained by weighting and summing 5 indexes of the average line length, the net density, the repetition coefficient, the travel demand index and the bus passenger flow coefficient. At present, technologies for constructing the overall health of a public traffic network are not abundant, and a public traffic network health index is constructed by acquiring more accurate related characteristics of the network through a big data technology and real public traffic related data, so that the health state of the network is accurately evaluated.

Disclosure of Invention

The invention aims to provide a public transport network health index algorithm constructed based on the relevant characteristics of a network so as to solve the problems in the background technology.

In order to achieve the purpose, the invention provides the following technical scheme:

a public transport network health index algorithm constructed based on network related characteristics comprises the following steps:

step one, statistics of net characteristics: the method comprises the steps of counting 3 static indexes related to a public traffic network by using a big data related technology, wherein the 3 static indexes are average line length, network density and repetition coefficient respectively, counting a network travel demand index and a network passenger flow coefficient index, and describing the health condition of the public traffic network by using the 5 indexes;

step two, calculating a net health index: after 5 dimensional data of average line length, line network density, repetition coefficient, travel demand index and bus passenger flow coefficient are obtained, firstly, data are standardized, and then, weighting summation is carried out by using the weight corresponding to each dimension to obtain the health index of the line network.

As a still further scheme of the invention: the average link length is the ratio of the total length of the public transport link to the number of links.

As a still further scheme of the invention: the density of the wire mesh is the ratio of the total length of the center lines of roads through which public transport lines pass in a certain area to the area of land in the area, and the unit is kilometers per square kilometer, or the ratio of the road mileage of the lines laid in the area to the area of urban land with public transport service.

As a still further scheme of the invention: the repetition coefficient is the ratio of the total length of the public transport line to the length of the line network in the area, and is also the ratio of the line density to the line network density, wherein the line density is the ratio of the total length of the public transport line to the urban land area with public transport service, and the line network density is the ratio of the road mileage of the line arranged in the area to the urban land area with public transport service.

As a still further scheme of the invention: the travel demand index is an expectation value of the public for public transportation service, and covers an index formed by constructing from multiple dimensions of public facility matching, humanistic care, convenience demand, coverage of people and fare offering conditions, so that the demand characteristics of a public transportation line are defined accurately.

As a still further scheme of the invention: the public transport passenger flow coefficient is an actual value of public enjoying public transport service, covers an index formed by constructing from multiple dimensions of passenger capacity, line revenue ratio, full load rate, departure interval, average speed and nonlinear coefficient, and accurately describes the supply condition of a public transport line.

As a still further scheme of the invention: calculating a net trip demand index, wherein the formula is as follows:

as a still further scheme of the invention: calculating the public transport passenger flow coefficient of the network, wherein the formula is as follows:

as a still further scheme of the invention: calculating the net health score:

(1) dividing the calculated scores of 5-100 by 100 respectively according to the net travel demand index and the net bus passenger flow coefficient, so that the corresponding values become numerical values between 0.05 and 1;

(2) the net travel demand index score is w1 net travel demand index; the net bus passenger flow coefficient score is w2 net bus passenger flow coefficient; net density score w3 net density; a repetition coefficient score w5 repetition coefficient; average line length score w5 average line length

Wherein w1, w2, w3, w4 and w5 are respectively the net travel demand index, the net public transport passenger flow coefficient, the net density, the repetition coefficient and the weight of the average line length;

(3) the health index of the net is calculated as follows:

and adding the net health scores to the index scores.

Compared with the prior art, the invention has the beneficial effects that: by the index construction of the invention, the overall health status of the net can be obtained over a period of time. The cause of the unhealthy net can also be defined by the net health index, and a diagnosis suggestion is given.

Drawings

Fig. 1 is an overall flow chart of a public transportation network health index algorithm constructed based on network-related characteristics.

Detailed Description

Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.

The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.

Referring to fig. 1, in an embodiment of the present invention, a public transportation network health index algorithm constructed based on network-related features includes the following steps:

step one, statistics of net characteristics: the method comprises the steps of counting 3 static indexes related to a public traffic network by using a big data related technology, wherein the 3 static indexes are average line length, network density and repetition coefficient respectively, counting a network travel demand index and a network passenger flow coefficient index, and describing the health condition of the public traffic network by using the 5 indexes;

step two, calculating a net health index: after 5 dimensional data of average line length, line network density, repetition coefficient, travel demand index and bus passenger flow coefficient are obtained, firstly, data are standardized, and then, weighting summation is carried out by using the weight corresponding to each dimension to obtain the health index of the line network.

The average link length is the ratio of the total length of the public transport link to the number of links.

The density of the wire mesh is the ratio of the total length of the center lines of roads through which public transport lines pass in a certain area to the area of land in the area, and the unit is kilometers per square kilometer, or the ratio of the road mileage of the lines laid in the area to the area of urban land with public transport service.

The repetition coefficient is the ratio of the total length of the public transport line to the length of the line network in the area, and is also the ratio of the line density to the line network density, wherein the line density is the ratio of the total length of the public transport line to the urban land area with public transport service, and the line network density is the ratio of the road mileage of the line arranged in the area to the urban land area with public transport service.

The travel demand index is an expectation value of the public for public transportation service, and covers an index formed by constructing from multiple dimensions of public facility matching, humanistic care, convenience demand, coverage of people and fare offering conditions, so that the demand characteristics of a public transportation line are defined accurately.

The public transport passenger flow coefficient is an actual value of public enjoying public transport service, covers an index formed by constructing from multiple dimensions of passenger capacity, line revenue ratio, full load rate, departure interval, average speed and nonlinear coefficient, and accurately describes the supply condition of a public transport line.

Calculating a net trip demand index, wherein the formula is as follows:

note: the calculation results are kept 2 decimal places (intermediate calculations are not kept, the final result is kept).

Assuming that there are N lines in the entire net, the travel demand index for each line is shown in the table.

Travel demand index table for all lines in line network

Line name	Route travel demand index
		Line_1	5
Line_2	50
		Line_3	80
Line_3	70
		Line_4	20
…	…
		Line_N	99

Calculating the public transport passenger flow coefficient of the network, wherein the formula is as follows:

note: the calculation result retains 2 decimal places (intermediate calculation does not retain, final result retains)

Suppose that the whole network has N lines, and the bus passenger flow coefficient of each line is shown in the table.

Bus passenger flow coefficient meter for all lines in network

Line name	Route bus passenger flow coefficient
		Line_1	5
Line_2	40
		Line_3	70
Line_3	90
		Line_4	30
…	…
		Line_N	99

Calculating the net health score:

(1) dividing the calculated scores of 5-100 by 100 respectively according to the net travel demand index and the net bus passenger flow coefficient, so that the corresponding values become numerical values between 0.05 and 1;

(2) the net travel demand index score is w1 net travel demand index; the net bus passenger flow coefficient score is w2 net bus passenger flow coefficient; net density score w3 net density; a repetition coefficient score w5 repetition coefficient; average line length score w5 average line length

Wherein w1, w2, w3, w4 and w5 are respectively the net travel demand index, the net public transport passenger flow coefficient, the net density, the repetition coefficient and the weight of the average line length;

(3) the health index of the net is calculated as follows:

and adding the net health scores to the index scores.

Dividing the calculated scores of 5-100 by 100 respectively to make the corresponding values become values between 0.05-1

Wire network health index calculation dimension table

Net health index calculation logic description:

notes in the above Table that the data ranges are all closed intervals

For example

The average line length is more than or equal to 8 and less than or equal to 12,

wire mesh density, uniform range because there are no centers and edges to market (more scientifically to score)

The density of the wire mesh is more than or equal to 2 and less than or equal to 4,

firstly, calculating a net travel demand index and a net bus passenger flow coefficient score

Middle table 1 for calculating net health index

Net trip demand index score of 35 x 0.744

Wire network bus passenger flow coefficient score of 35 x 0.563

Then, calculating the net density, the repetition factor, the score of the average line length,

middle table 2 for calculating net health index

The same processing method was used for the above 3 indices.

(ii) if the value for the feature is within the range of remarks, a score is reached, e.g. the repetition factor

Repeat coefficient score of 10

If the value for the feature is not within the range of the remarks, the score is calculated as follows

Average line length score [1- [ (14.51-12) × 0.05] ] × 10

Finally, the health index of the net is calculated as follows.

And adding the net health scores which are 5 index scores.

By the index construction of the invention, the overall health status of the net can be obtained over a period of time. The cause of the unhealthy net can also be defined by the net health index, and a diagnosis suggestion is given.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.