A comprehensive transportation mode OD acquisition method considering inter-trip travel

Abstract

The present invention discloses a comprehensive transportation mode OD acquisition method considering connecting travel, which includes four steps of data collection, utility calculation, proportion analysis and OD acquisition. By collecting and analyzing travel OD matrix data within a region, the travel utility of all feasible travel mode combinations between two places is calculated according to a formula, and on this basis, the travel proportion of all feasible travel mode combinations between the two places is calculated, and finally the mode OD matrix of the travel mode between the two places is obtained by calculation. The method is supported by actual data, takes into account the possibility of connecting travel between cities, has strong practicality and operability, is of great significance for comprehensive transportation travel mode classification prediction and transportation planning, and also provides a practical and scientific basis for the planning and transformation of passenger transport hubs between urban agglomerations and the dispatch optimization of transport capacity between hubs, so as to more scientifically and reasonably improve the supply capacity and quality of transportation services and improve the travel experience of passengers.

Description

Technical Field

[0001] The present invention belongs to the field of comprehensive transportation, and more specifically, relates to a method for obtaining OD of comprehensive transportation modes taking into account connecting travel. Background Art

[0002] With the continuous advancement of urbanization, the urban agglomeration has emerged in my country and is becoming more and more mature. The development of regional economic integration has led to increasingly close political, cultural and economic exchanges between cities in the urban agglomeration. With the rapid development of transportation modes such as high-speed rail and airplanes, people have put forward higher requirements for urban agglomeration travel, which has led to the emergence of passenger intermodal transportation as a transportation service model. Passenger intermodal transportation refers to a transportation service model that realizes the integrated transportation organization of passengers and ensures the continuity and convenience of passenger travel by comprehensively planning and managing multiple trips using one or more modes of transportation. The emergence of this model has expanded the travel scope of residents in the urban agglomeration and brought about changes in the passenger transport demand of the urban agglomeration hub. At present, passenger intermodal transportation in my country is still in its infancy, and the transportation facilities between hubs have not yet been reasonably allocated according to the changes in passenger transport demand brought about by intermodal passenger transportation. As an important part of the comprehensive transportation service system, passenger intermodal transportation can combine the advantages of multiple travel modes, effectively improve the comprehensive transportation efficiency, and greatly improve the travel experience of passengers. The development of passenger intermodal transportation is of great significance to the rapid advancement of my country's transportation, the construction and improvement of a modern comprehensive transportation system, and the creation of a transportation service system.

[0003] After years of theoretical research and practical exploration, scholars at home and abroad have conducted research on comprehensive transportation passenger travel behavior and passenger intermodal transportation. Abroad, Forinash CV and K oppelman F s. studied the travel mode selection behavior mechanism of passengers based on the principle of utility theory. Aoife A. and Ahern N. T4 studied the role of passengers' personal preferences in travel mode selection decisions. Per Johansson et al. studied the impact of passengers' personal attributes and attitudes on mode selection behavior. Domestically, there are NL models, ML models, MNL models, mixed choice models, etc., but most of the above methods are studies on a single travel mode, lacking research on the multi-modal combination travel behavior of urban agglomeration passengers, while passenger intermodal travel includes not only a single travel mode, but also a combination of multiple modes. Summary of the invention

[0004] Most of the existing models are aimed at studying a single travel mode and cannot be applied to studying the multi-mode travel behavior of passengers in urban agglomerations. The present invention provides a comprehensive transportation mode OD acquisition method considering connecting travel. The travel OD matrix data within the area to be analyzed is collected, and the travel utility of all feasible travel mode combinations between the two places is calculated according to the formula. On this basis, the travel proportion of all feasible travel mode combinations between the two places is calculated, and finally the mode OD matrix of the travel mode between the two places is obtained by calculation. The method is supported by actual data, takes into account the possibility of connecting travel between cities, has strong practicality and operability, is of great significance for comprehensive transportation travel mode classification prediction and transportation planning, and also provides a practical scientific basis for the planning and transformation of passenger transport hubs between urban agglomerations and the scheduling optimization of transportation capacity between hubs.

[0005] To solve the above problems, the present invention adopts the following technical solutions.

[0006] A method for obtaining OD of comprehensive transportation modes considering inter-trip travel includes the following steps:

[0007] Step A, data collection: collect travel data of n traffic zones within the area to be analyzed;

[0008] Step B, utility calculation: based on the data collected in step A, calculate the travel utility of all feasible travel mode combinations between traffic zone i and traffic zone j;

[0009] Step C, proportion analysis: using the travel utility calculated in step B to calculate the travel proportion of all feasible travel mode combinations between traffic zone i and traffic zone j;

[0010] Step D, OD acquisition: Combine the data collected in step A and the travel ratio calculated in step C to calculate the OD matrix of the travel modes between traffic zone i and traffic zone j.

[0011] In a further technical solution, step A specifically comprises:

[0012] The collection needs to analyze the travel OD matrix within the area:

[0013]

[0014] Among them, g i,j is the travel demand from traffic zone i to traffic zone j, n is the total number of traffic zones within the area to be analyzed, i and j are both integers greater than 0, and i∈n, j∈n;

[0015] Collect the number of feasible travel mode combinations N between traffic zone i and traffic zone j i,j ;

[0016] Collect the cumulative number of travel modes used in the kth feasible travel mode combination between traffic zone i and traffic zone j

[0017] Collect the mth travel mode adopted in the kth feasible travel mode combination between traffic area i and traffic area j

[0018] Collect the travel distance of the mth type of the kth feasible travel mode combination between traffic zone i and traffic zone j

[0019] Collect the traffic zone number of the mth travel mode transfer in the kth feasible travel mode combination between traffic zone i and traffic zone j

[0020] Where k is an integer greater than 0, and k≤N i,j ; m is an integer greater than 0, and The values ​​are 1, 2, 3 and 4, representing road, rail, air and water travel modes respectively; The unit is kilometers; is an integer greater than 0, and Indicates that there is no need to change trains at the destination; modes of transportation include road, rail, air and water.

[0021] In a further technical solution, in step B, the travel utility of the kth feasible travel mode combination between traffic zone i and traffic zone j is calculated using the following formula:

[0022]

[0023] in, is the distance utility function, which means that Travel Mode Travel travel utility of distance; is the transfer utility function, which means Transfer to The transfer utility of travel modes.

[0024] Further technical solution, in step C, the travel ratio of the kth feasible travel mode combination between traffic zone i and traffic zone j is The calculation is done using the following formula:

[0025]

[0026] Among them, e is the natural base, o is greater than or equal to 1 and less than or equal to N i,j integer, It is represented as the oth feasible travel mode combination between traffic zone i and traffic zone j.

[0027] In a further technical solution, step D specifically comprises the following steps:

[0028] Step D1, initializing the OD matrix of each mode: Initializing the OD matrix of each mode of highway, railway, aviation, and water transport, setting all elements in the OD1 matrix of highway, the OD2 matrix of railway, the OD3 matrix of aviation, and the OD4 matrix of water transport to 0, where:

[0029]

[0030]

[0031]

[0032]

[0033] in, and are the travel volumes between traffic zone i and traffic zone j by road, rail, air and water transport respectively;

[0034] Step D2: Search for travel volume by mode:

[0035] Highway mode: For traffic zone i to traffic zone j, the data collected in step A are searched sequentially. and and Will The value of is added to superior;

[0036] Railway mode: For traffic zone i to traffic zone j, the data collected in step A are searched sequentially. and and Will The value of is added to superior;

[0037] Aviation method: For traffic zone i to traffic zone j, the data collected in step A) are searched sequentially. and and Will The value of is added to superior;

[0038] Water transport: For the area between traffic zone i and traffic zone j, the data collected in step A) are searched sequentially. and and Will The value of is added to superior;

[0039] Where p and q are the numbers of the traffic zones, respectively. Both p and q are integers greater than 0, and p∈n,q∈n; is the traffic zone number of the mth travel mode transfer in the kth feasible travel mode combination between traffic zone p and traffic zone q; is the mth travel mode adopted in the kth feasible travel mode combination between traffic area p and traffic area q; is the travel proportion of the kth feasible travel mode combination between traffic area p and traffic area q; g p,q is the travel demand from traffic area p to traffic area q;

[0040] Step D3, sorting out the OD results by mode: sorting out the results of the travel volume search by mode in step D2 to obtain the OD matrix by mode.

[0041] A further technical solution is that in step A, the cumulative number of travel modes used in the kth feasible travel mode combination between traffic zone i and traffic zone j is right When calculating the statistics, if a transfer between modes occurs within the traffic area, the travel mode transfer within the traffic area will not be counted, and only the last travel mode that leaves the traffic area will be counted. middle.

[0042] A further technical solution is that in step A, the cumulative number of travel modes used in the kth feasible travel mode combination between traffic zone i and traffic zone j is right When performing statistics, if the same travel mode appears more than once in the feasible travel mode combination, it needs to be counted according to the number of times it appears. middle.

[0043] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0044] The present invention discloses a method for obtaining OD of comprehensive transportation modes considering connecting travel. Compared with the traditional NL model, ML model, etc., the present invention calculates the utility of all feasible travel plans between two places based on the plan selection behavior data of passengers when making connecting travel between hubs of urban agglomerations. On this basis, the proportion analysis of all feasible travel plans between the two places is obtained according to the formula, and finally the OD matrix of comprehensive transportation modes between the two places is obtained. Based on the actual data as the support, the connecting travel plan selection behavior data of passengers between typical cities is considered, and the result has higher accuracy and credibility than the traditional prediction method; at the same time, the whole process of the method is clear, and it has strong practicality and operability, which provides a new idea and method for obtaining OD of comprehensive transportation modes, which is of great significance for comprehensive transportation travel mode classification prediction and transportation planning, and also provides a practical scientific basis for the planning and transformation of passenger transport hubs between urban agglomerations and the scheduling optimization of transportation capacity between hubs, so as to more scientifically and rationally improve the supply capacity and quality of transportation services, improve the travel experience of passengers, and better meet the high-quality, diversified and personalized travel needs of passengers. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0046] The present invention is further described below in conjunction with specific embodiments and drawings.

[0047] Example

[0048] This embodiment provides a method for obtaining OD of comprehensive transportation modes considering inter-trip travel, such as Figure 1 As shown, the following steps are included:

[0049] Step A: Data collection: Collect the travel OD matrix within the area to be analyzed.

[0050]

[0051] g i,j is the travel demand from traffic zone i to traffic zone j, i and j are both integers greater than 0 and less than n, and n is the total number of traffic zones within the area to be analyzed;

[0052] Collect the number of feasible travel mode combinations N between traffic zone i and traffic zone j i,j , collect the cumulative number of travel modes used in the kth feasible travel mode combination between traffic zone i and traffic zone j Collect the mth travel mode adopted in the kth feasible travel mode combination between traffic area i and traffic area j Collect the travel distance of the mth feasible travel mode combination between traffic zone i and traffic zone j Collect the traffic zone number of the mth travel mode transfer in the kth feasible travel mode combination between traffic zone i and traffic zone j Where k is an integer greater than 0, and k≤N i,j ; m is an integer greater than 0, and The values ​​are 1, 2, 3, and 4, representing the modes of travel by road, rail, air, and water respectively; The unit is kilometers; is an integer greater than 0, and Special Provisions It means that there is no need to change trains at the destination; travel data can be directly obtained from the national or relevant regional / city statistics department, transportation department, etc., or directly downloaded or captured from the Internet based on big data technology. The transportation modes include road, rail, aviation and water transportation.

[0053] In this example, 13 regions in a province in Northeast China are selected as the area to be analyzed, and the travel OD matrix is ​​as follows:

[0054]

[0055] Among them, the names of the 13 traffic zones can be recorded in sequence as: ManXX (traffic zone 1), GaoXX (traffic zone 2), ShenX1 (traffic zone 3), GuangXX (traffic zone 4), ShenX2 (traffic zone 5), HuiXX (traffic zone 6), HunXX (traffic zone 7), SuXX (traffic zone 8), XinXX (traffic zone 9), FaXX (traffic zone 10), KangXX (traffic zone 11), DaXX (traffic zone 12) and FuXX (traffic zone 13).

[0056] Then, the feasible travel mode combinations between traffic zones are collected. Taking the area 5 to the area 12 as an example, the number of feasible travel mode combinations N between traffic zone 5 and traffic zone 12 is 5,12 =3, where are 1, 1, 1 respectively, are 1, 1, and 2 respectively. They are 350KM, 312KM and 350KM respectively. Which are 12, 12, 12 respectively.

[0057] Step B, utility calculation: Based on the data collected in step A, the travel utility of the kth feasible travel mode combination between traffic zone i and traffic zone j is calculated using the following formula:

[0058]

[0059] in, is the distance utility function, which means that Travel Mode Travel travel utility of distance; is the transfer utility function, which means Transfer to The transfer utility of travel modes;

[0060] Step C, proportion analysis: Use step B to calculate the travel proportion of the kth feasible travel mode combination between traffic zone i and traffic zone j.

[0061]

[0062] Among them, e is the natural base, o is greater than or equal to 1 and less than or equal to N i,j integer, It is represented as the oth feasible travel mode combination between traffic zone i and traffic zone j.

[0063] Step D, OD acquisition: Combine the data collected in step A and the travel ratio analyzed in step C to calculate the OD matrix of each mode, which specifically includes the following steps:

[0064] Step D1, initialization of the OD matrix of each mode: Initialize the OD1 matrix of the highway mode, the OD2 matrix of the railway mode, the OD3 matrix of the aviation mode, and the OD4 matrix of the water transport mode, and set all elements in the OD1 matrix of the highway mode, the OD2 matrix of the railway mode, the OD3 matrix of the aviation mode, and the OD4 matrix of the water transport mode to 0, specifically:

[0065]

[0066]

[0067]

[0068]

[0069] in, and are the travel volumes between traffic zone i and traffic zone j by road, rail, air and water transport respectively;

[0070] Step D2: Search the travel volume by mode, using software such as Excel and Matlab;

[0071] Highway mode: For traffic zone i to traffic zone j, the data collected in step A) are searched sequentially. and and At this time, The value is directly added to superior;

[0072] Railway mode: For traffic zone i to traffic zone j, the data collected in step A) are searched sequentially. and and At this time, The value is directly added to superior;

[0073] Aviation method: For traffic zone i to traffic zone j, the data collected in step A) are searched sequentially. and and At this time, The value is directly added to superior;

[0074] Water transport: For the area between traffic zone i and traffic zone j, the data collected in step A) are searched sequentially. and and At this time, The value is directly added to superior;

[0075] Where p and q are the numbers of the traffic zones, respectively. Both p and q are integers greater than 0, and p∈n,q∈n; is the traffic zone number of the mth travel mode transfer in the kth feasible travel mode combination between traffic zone p and traffic zone q; is the mth travel mode adopted in the kth feasible travel mode combination between traffic area p and traffic area q; is the travel proportion of the kth feasible travel mode combination between traffic area p and traffic area q; g p,q is the travel demand from traffic area p to traffic area q;

[0076] Step D3, sorting out the OD results by mode: sort out the results of the travel volume search by mode in step D2 to obtain the OD matrix by mode. The specific results are as follows:

[0077]

[0078]

[0079]

[0080]

[0081] The examples described in the present invention are merely descriptions of the preferred implementation modes of the present invention, and are not intended to limit the concept and scope of the present invention. Without departing from the design concept of the present invention, various modifications and improvements made to the technical solutions of the present invention by engineers and technicians in this field should all fall within the protection scope of the present invention.

Claims

1. A comprehensive transportation mode OD acquisition method considering inter-trip travel, characterized in that: The following steps are involved: Step A, data collection: collect travel data of n traffic zones within the area to be analyzed; Step B, utility calculation: based on the data collected in step A, calculate the travel utility of all feasible travel mode combinations between traffic zone i and traffic zone j; Step C, proportion analysis: using the travel utility calculated in step B to calculate the travel proportion of all feasible travel mode combinations between traffic zone i and traffic zone j; Step D, OD acquisition: combining the data collected in step A and the travel ratio calculated in step C, calculate and obtain the OD matrix of the travel modes between traffic zone i and traffic zone j; Step A specifically includes: The collection needs to analyze the travel OD matrix within the area: Among them, g i,j is the travel demand from traffic zone i to traffic zone j, n is the total number of traffic zones within the area to be analyzed, i and j are both integers greater than 0, and i∈n, j∈n; Collect the number of feasible travel mode combinations N between traffic zone i and traffic zone j i,j ; Collect the cumulative number of travel modes used in the kth feasible travel mode combination between traffic zone i and traffic zone j Collect the mth travel mode adopted in the kth feasible travel mode combination between traffic area i and traffic area j Collect the travel distance of the mth type of the kth feasible travel mode combination between traffic zone i and traffic zone j Collect the traffic zone number of the mth travel mode transfer in the kth feasible travel mode combination between traffic zone i and traffic zone j Where k is an integer greater than 0, and k≤N i,j ; m is an integer greater than 0, and The values ​​are 1, 2, 3 and 4, representing the modes of travel by road, rail, air and water respectively; The unit is kilometers; is an integer greater than 0, and Indicates that there is no need to change trains at the destination; travel modes include road, rail, air and water transport; In step B, the travel utility of the kth feasible travel mode combination between traffic zone i and traffic zone j is calculated using the following formula: in, is the distance utility function, which means that Travel Mode Travel travel utility of distance; is the transfer utility function, which means Transfer to The transfer utility of travel modes.

2. The method for obtaining OD of comprehensive transportation modes considering connecting trips according to claim 1 is characterized in that: In step C, the travel ratio of the kth feasible travel mode combination between traffic zone i and traffic zone j is The calculation is done using the following formula: Among them, e is the natural base, o is greater than or equal to 1 and less than or equal to N i,j integer, It is represented as the oth feasible travel mode combination between traffic zone i and traffic zone j.

3. The method for obtaining OD of comprehensive transportation modes considering connecting trips according to claim 2 is characterized in that: Step D specifically includes the following steps: Step D1, initializing the OD matrix of each mode: Initializing the OD matrix of each mode of highway, railway, aviation, and water transport, setting all elements in the OD1 matrix of highway, the OD2 matrix of railway, the OD3 matrix of aviation, and the OD4 matrix of water transport to 0, where: and are the travel volumes between traffic zone i and traffic zone j by road, rail, air and water transport respectively; Step D2: Search for travel volume by mode: Highway mode: For traffic zone i to traffic zone j, the data collected in step A are searched sequentially. and and Will The value is directly added to superior; Railway mode: For traffic zone i to traffic zone j, the data collected in step A are searched sequentially. and and Will The value of is added to superior; Aviation method: For traffic zone i to traffic zone j, the data collected in step A) are searched sequentially. and and Will The value of is added to superior; Water transport: For the traffic zone i to the traffic zone j, the data collected in step A) are searched sequentially. and and Will The value of is added to superior; Where p and q are the numbers of the traffic zones, respectively. Both p and q are integers greater than 0, and p∈n,q∈n; is the traffic zone number of the mth travel mode transfer in the kth feasible travel mode combination between traffic zone p and traffic zone q; is the mth travel mode adopted in the kth feasible travel mode combination between traffic area p and traffic area q; is the travel proportion of the kth feasible travel mode combination between traffic area p and traffic area q; g p,q is the travel demand from traffic area p to traffic area q; Step D3, sorting out the OD results by mode: sorting out the results of the travel volume search by mode in step D2 to obtain the OD matrix by mode.

4. The method for obtaining OD of comprehensive transportation modes considering connecting trips according to claim 1 is characterized in that: In step A, the cumulative number of travel modes used in the kth feasible travel mode combination between traffic area i and traffic area j right When calculating the statistics, if a transfer between modes occurs within the traffic area, the travel mode transfer within the traffic area will not be counted, and only the last travel mode that leaves the traffic area will be counted. middle.

5. The method for obtaining OD of comprehensive transportation modes considering connecting trips according to claim 4 is characterized in that: In step A, the cumulative number of travel modes used in the kth feasible travel mode combination between traffic area i and traffic area j right When performing statistics, if the same travel mode appears more than once in the feasible travel mode combination, it needs to be counted according to the number of times it appears. middle.

Images