Calculation method for quantitative evaluation of bus rail connection relation

Abstract

The invention relates to the technical field of public transport planning, and discloses a calculation method for quantitative evaluation of a bus track connection relationship, and the method comprises the following steps: 1, collecting data: collecting travel time, travel cost data and track travel time data between any stations of a bus line; according to the calculation method for the quantitative evaluation of the bus track connection relationship, a comprehensive quantitative evaluation model is provided by comprehensively evaluating the travel time, the cost and the competition coefficient between the bus line and the track line; the comprehensive evaluation method can more accurately identify and quantify the advantages and disadvantages in the bus track connection relationship, thereby helping a planner to optimize the layout of bus lines and track lines, reducing resource waste, improving the overall transportation efficiency, and improving the transportation efficiency by optimizing connection points and adjusting operation strategies. The transfer time and waiting time of passengers can be reduced, the travel experience of the passengers is improved, and the operation cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of public transportation planning, and in particular to a calculation method for quantitatively evaluating bus track connection relations. Background Art

[0002] The bus-rail connection relationship refers to the connection and coordination between bus lines and rail lines in the urban public transportation system. This relationship is of great significance for improving the efficiency of urban public transportation, reducing operating costs, and enhancing the travel experience of passengers. With the acceleration of urbanization, the public transportation system is becoming increasingly complex. The quantitative evaluation of the bus-rail connection relationship is of great significance for optimizing the urban public transportation network, improving operating efficiency, and reducing operating costs. The evaluation of bus-rail connection relationship mostly relies on qualitative analysis and empirical judgment, lacks a systematic quantitative evaluation method, and fails to comprehensively consider the travel time, travel costs and rail travel time between any stations on the bus line, resulting in one-sided evaluation results.

[0003] In order to solve the above problems, this application proposes a calculation method for quantitative evaluation of bus track connection relationship. Summary of the invention

[0004] Based on the technical problems existing in the background technology, the present invention proposes a calculation method for quantitatively evaluating the connection relationship of bus tracks.

[0005] The present invention proposes a calculation method for quantitatively evaluating the bus track connection relationship, comprising the following steps: Step 1: Collect data, including travel time and travel cost data between any stops on bus lines, as well as rail travel time data; Step 2: Establish a competition model, construct a bus-rail competition model, and consider the competition relationship between bus lines and rail lines; Step 3: Calculate travel time, calculate the travel time between any stops on the bus line and the rail travel time; Step 4: Calculate the travel cost, and calculate the total travel cost between any stops on the bus line; Step 5: Estimate the travel probability, and estimate the probability of choosing public transportation between any stations; Step 6: Calculate the competition coefficient, introduce the bus-rail competition coefficient, and quantify the competition relationship between bus lines and rail lines; Step 7: Comprehensive evaluation, taking into account the above factors, to establish a quantitative evaluation model for bus-rail connection relationship; Step 8: Result analysis: analyze the evaluation results to provide decision support for public transportation planning and optimization.

[0006] Preferably, the data collection comprises the following steps: S1. Determine the scope and type of data collection; S2. Collect data using automated tools or manual methods; S3. Verify the accuracy and completeness of the data.

[0007] Preferably, the establishing of the competition model comprises: S1. Define the competition between bus routes and rail routes; S2, using the quantitative analysis model of bus-rail connection relationship to describe the competitive relationship, only considering the choice between rail and bus; S3. Verify the effectiveness of the model.

[0008] Preferably, the calculating travel time includes: S1. Use the formula to calculate the travel time between any stops on the bus line: ; S2. Calculate the track travel time using the formula: ; The distance from the departure point to the bus stop and the distance from the bus stop to the destination can be taken as the average value.

[0009] Preferably, For bus and rail waiting time, the average value can be taken; The distance from the departure point to the rail station and from the rail station to the destination, including the distance in and out of the station, can be taken as the average value; The transfer distance for each track transfer can be averaged; n: number of track transfers, calculated by programming; Walking, bus and rail speeds; The distance between bus and rail stations is calculated by programming.

[0010] Preferably, in the calculation of the travel cost, a formula is used to calculate the total travel cost between any stops on the bus line. The specific formula is as follows: Total travel cost between any stops on the bus line: ; Rail travel time between any stops on bus lines: ; The cost of bus or rail travel between any two stations; The full load rate of bus and rail sections between any stations; The calibration coefficient is calibrated based on the passenger questionnaire data.

[0011] Preferably, in the estimated travel probability, a probability calculation formula is used to estimate the probability of choosing public transportation between any stations. The specific formula is as follows: The probability of choosing public transportation between any stations: .

[0012] Preferably, the calculation of the competition coefficient includes: S1. Define the calculation formula of bus track competition coefficient; S2. Calculate the competition coefficient using the formula; Bus rail competition coefficient: ; od_^ij: passenger flow between bus stops; The value range is [0,1]. The larger the value, the more advantageous public transportation is; The index value range is [0,1]. The larger the index value, the weaker the competition between bus and rail.

[0013] Preferably, the comprehensive assessment includes: S1. Establish a comprehensive evaluation model by combining travel time, cost, probability and competition coefficient; S2. Use the model for quantitative evaluation.

[0014] Preferably, the result analysis includes: S1. Analyze the evaluation results and identify the strengths and weaknesses of the bus-rail connection relationship; S2. Propose optimization suggestions.

[0015] The above technical solution of the present invention has the following beneficial technical effects: 1. By comprehensively evaluating the travel time, cost and competition coefficient between bus routes and rail lines, a comprehensive quantitative evaluation model is provided. This comprehensive evaluation method can more accurately identify and quantify the advantages and disadvantages of bus-rail connection, thereby helping planners optimize the layout of bus routes and rail lines, reduce resource waste, and improve overall transportation efficiency. By optimizing connection points and adjusting operation strategies, the transfer time and waiting time of passengers can be reduced, the travel experience of passengers can be improved, and the operation cost can be reduced at the same time; 2. By introducing the calculation of competition coefficient and travel probability, it is possible to more scientifically predict passengers' travel choices and provide more accurate data support for public transportation planning. This data-driven planning method helps decision makers formulate public transportation policies that are more in line with actual needs and improve the attractiveness and competitiveness of public transportation systems. In addition, this method can also help identify those bus-rail connection points that need to be improved first, thereby allocating limited financial resources more effectively. 3. It helps to achieve the sustainable development of the urban public transportation system. By optimizing the connection between buses and rails, it can encourage more citizens to choose public transportation and reduce the use of private cars, thereby reducing urban traffic congestion and environmental pollution. In addition, by improving the efficiency and attractiveness of public transportation, it can reduce energy consumption and carbon emissions, promote the green transformation of urban transportation, and help build a more livable, environmentally friendly and efficient urban transportation environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a flowchart of a calculation method for quantitatively evaluating bus track connection relations proposed by the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0018] like Figure 1 As shown, a calculation method for quantitatively evaluating the bus track connection relationship proposed by the present invention includes the following steps: Step 1: Collect data, including travel time and travel cost data between any stops on bus lines, as well as rail travel time data; Step 2: Establish a competition model, construct a bus-rail competition model, and consider the competition relationship between bus lines and rail lines; Step 3: Calculate travel time, calculate the travel time between any stops on the bus line and the rail travel time; Step 4: Calculate the travel cost, and calculate the total travel cost between any stops on the bus line; Step 5: Estimate the travel probability, and estimate the probability of choosing public transportation between any stations; Step 6: Calculate the competition coefficient, introduce the bus-rail competition coefficient, and quantify the competition relationship between bus lines and rail lines; Step 7: Comprehensive evaluation, taking into account the above factors, to establish a quantitative evaluation model for bus-rail connection relationship; Step 8: Result analysis: analyze the evaluation results to provide decision support for public transportation planning and optimization.

[0019] In a specific embodiment, collecting data includes the following steps: S1. Determine the scope and type of data collection; S2. Collect data using automated tools or manual methods; S3. Verify the accuracy and completeness of the data.

[0020] In a specific embodiment, establishing a competition model includes: S1. Define the competition between bus routes and rail routes; S2, using the quantitative analysis model of bus-rail connection relationship to describe the competitive relationship, only considering the choice between rail and bus; S3. Verify the effectiveness of the model.

[0021] In a specific embodiment, calculating the travel time includes: S1. Use the formula to calculate the travel time between any stops on the bus line: ; S2. Calculate the track travel time using the formula: ; The distance from the departure point to the bus stop and the distance from the bus stop to the destination can be taken as the average value.

[0022] In a specific embodiment, For bus and rail waiting time, the average value can be taken; The distance from the departure point to the rail station and from the rail station to the destination, including the distance in and out of the station, can be taken as the average value; The transfer distance for each track transfer can be averaged; n: number of track transfers, calculated by programming; Walking, bus and rail speeds; The distance between bus and rail stations is calculated by programming.

[0023] In a specific embodiment, in calculating the travel cost, a formula is used to calculate the total travel cost between any stops on the bus line. The specific formula is as follows: Total travel cost between any stops on the bus line: ; Rail travel time between any stops on bus lines: ; The cost of bus or rail travel between any two stations; The full load rate of bus and rail sections between any stations; The calibration coefficient is calibrated based on the passenger questionnaire data.

[0024] In a specific embodiment, in estimating the travel probability, a probability calculation formula is used to estimate the probability of choosing public transportation between any stations. The specific formula is as follows: The probability of choosing public transportation between any stations: .

[0025] In a specific embodiment, calculating the competition coefficient includes: S1. Define the calculation formula of bus track competition coefficient; S2. Calculate the competition coefficient using the formula; Bus rail competition coefficient: ; od_^ij: passenger flow between bus stops; The value range is [0,1]. The larger the value, the more advantageous public transportation is; The index value range is [0,1]. The larger the index value, the weaker the competition between bus and rail.

[0026] In a specific embodiment, the comprehensive evaluation includes: S1. Establish a comprehensive evaluation model by combining travel time, cost, probability and competition coefficient; S2. Use the model for quantitative evaluation.

[0027] In a specific embodiment, the result analysis includes: S1. Analyze the evaluation results and identify the strengths and weaknesses of the bus-rail connection relationship; S2. Propose optimization suggestions.

[0028] It should be noted that: first, by collecting travel time and travel cost data between any stations on the bus line and travel time data on the rail, we can obtain basic information about the bus and rail systems. Then, a bus-rail competition model is established to quantify the competitive relationship between bus lines and rail lines, which helps to understand passengers' preference for different modes of transportation. Then, travel time and travel cost are calculated separately to provide key time and economic parameters for the evaluation model. By estimating the travel probability, passengers' travel choices between different stations can be predicted, and the calculation of the competition coefficient further refines the degree of competition between buses and rails. Combining these factors, a quantitative evaluation model for bus-rail connection relationship is constructed, which can fully reflect the efficiency and effectiveness of bus-rail connection relationship. Finally, through the analysis of the evaluation results, scientific decision-making support can be provided for public transportation planning and optimization. Through the above, not only the accuracy and scientificity of the evaluation are improved, but also it helps to optimize resource allocation, improve passenger satisfaction, and promote sustainable urban development, thereby achieving a more efficient, economical and environmentally friendly public transportation system.

[0029] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

Claims

1. A calculation method for quantitative evaluation of bus track connection relationship, characterized in that: The following steps are involved: Step 1: Collect data, including travel time and travel cost data between any stops on bus lines, as well as rail travel time data; Step 2: Establish a competition model, construct a bus-rail competition model, and consider the competition relationship between bus lines and rail lines; Step 3: Calculate travel time, calculate the travel time between any stops on the bus line and the rail travel time; Step 4: Calculate the travel cost, and calculate the total travel cost between any stops on the bus line; Step 5: Estimate the travel probability, and estimate the probability of choosing public transportation between any stations; Step 6: Calculate the competition coefficient, introduce the bus-rail competition coefficient, and quantify the competition relationship between bus lines and rail lines; Step 7: Comprehensive evaluation, taking into account the above factors, to establish a quantitative evaluation model for bus-rail connection relationship; Step 8: Result analysis: analyze the evaluation results to provide decision support for public transportation planning and optimization.

2. The calculation method for quantitative evaluation of bus track connection relationship according to claim 1 is characterized in that: The data collection includes the following steps: S1. Determine the scope and type of data collection; S2. Collect data using automated tools or manual methods; S3. Verify the accuracy and completeness of the data.

3. The calculation method for quantitative evaluation of bus track connection relationship according to claim 2 is characterized in that: The competition model establishment comprises: S1. Define the competition between bus routes and rail routes; S2, using the quantitative analysis model of bus-rail connection relationship to describe the competitive relationship, only considering the choice between rail and bus; S3. Verify the effectiveness of the model.

4. The calculation method for quantitative evaluation of bus track connection relationship according to claim 3 is characterized in that: The calculation of travel time includes: S1. Use the formula to calculate the travel time between any stops on the bus line: ； S2. Calculate the track travel time using the formula: ； The distance from the departure point to the bus stop and the distance from the bus stop to the destination can be taken as the average value.

5. The calculation method for quantitative evaluation of bus track connection relationship according to claim 4 is characterized in that: For bus and rail waiting time, the average value can be taken; The distance from the departure point to the rail station and from the rail station to the destination, including the distance in and out of the station, can be taken as the average value; The transfer distance for each track transfer can be averaged; n: number of track transfers, calculated by programming; Walking, bus and rail speeds; The distance between bus and rail stations is calculated by programming.

6. The calculation method for quantitative evaluation of bus track connection relationship according to claim 5 is characterized in that: In the calculation of travel expenses, a formula is used to calculate the total travel expenses between any stops on the bus line. The specific formula is as follows: Total travel cost between any stops on the bus line: ； Rail travel time between any stops on bus lines: ； The cost of bus or rail travel between any two stations; The full load rate of bus and rail sections between any stations; The calibration coefficient is calibrated based on the passenger questionnaire data.

7. The calculation method for quantitative evaluation of bus track connection relationship according to claim 6 is characterized in that: In the estimated travel probability, a probability calculation formula is used to estimate the probability of choosing public transportation between any stations. The specific formula is as follows: The probability of choosing public transportation between any stations: 。 8. The calculation method for quantitative evaluation of bus track connection relationship according to claim 7 is characterized in that: The calculation of the competition coefficient includes: S1. Define the calculation formula of bus track competition coefficient; S2. Calculate the competition coefficient using the formula; Bus rail competition coefficient: ； od_^ij: passenger flow between bus stops; The value range is [0,1]. The larger the value, the more advantageous public transportation is; The index value range is [0,1]. The larger the index value, the weaker the competition between bus and rail.

9. The calculation method for quantitative evaluation of bus track connection relationship according to claim 8, characterized in that: The comprehensive assessment includes: S1. Establish a comprehensive evaluation model by combining travel time, cost, probability and competition coefficient; S2. Use the model for quantitative evaluation.

10. The calculation method for quantitative evaluation of bus track connection relationship according to claim 9, characterized in that: The result analysis includes: S1. Analyze the evaluation results and identify the strengths and weaknesses of the bus-rail connection relationship; S2. Make optimization suggestions.

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