A method for analyzing total travel distance of multiple transportation modes based on traffic assignment
By dividing traffic zones, constructing road and bus networks, conducting questionnaire surveys and traffic allocation, the problem that existing technologies cannot comprehensively analyze total travel distances is solved, and accurate calculation of total travel distances for multiple modes of transportation is achieved, supporting low-carbon transportation planning.
Patent Information
- Application Number
- CN202211419135.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-11-14
- Publication Date
- 2025-10-03
- Estimated Expiration
- 2042-11-14
AI Technical Summary
Existing traffic demand analysis technology is unable to comprehensively analyze the entire process of residents' transportation travel, especially short-distance travel and the distance of changing transportation modes to public transportation. It is also unable to systematically analyze the total travel distance, which limits its application in low-carbon transportation planning.
By dividing traffic areas, constructing road networks and bus lines, conducting questionnaire surveys, building a traffic distribution matrix, calculating non-linear coefficients and passenger-to-bus stop distance models, and combining traffic allocation methods, we systematically analyze the entire process of residents' transportation and calculate the total travel distance of multiple transportation modes.
It has achieved accurate calculation of the total travel distance of various modes of transportation, provided data support for low-carbon transportation planning, and improved the scientificity and accuracy of transportation planning and management.
Smart Images

Figure CN115796491B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of traffic planning, design and management, and in particular to a method for analyzing the total travel distance of multiple traffic modes based on traffic distribution, belonging to the technical field of calculation, estimation or counting. Background Art
[0002] Residents' daily travel patterns are highly complex in space and time, with diverse modes of transportation and intricate transfer relationships between them. For example, walking can transition to public transportation, or cycling can transition to public transportation. With the rapid growth of car ownership, the rapid development of electric bicycles, the vigorous implementation of public transportation priority policies, and the maturity and widespread adoption of smart transportation technologies, residents' travel behaviors have become more complex, and the connections between different travel modes have become more frequent. To scientifically and comprehensively analyze the distribution patterns of residents' travel patterns and better plan, manage, and control the ever-changing modern transportation system, it is imperative to develop new traffic analysis technologies and methods to better understand the characteristics of residents' travel.
[0003] Existing traffic demand analysis techniques typically divide the study area into several traffic zones, constructing a virtual road network and bus routes. Residents' travel is then abstracted into activities between these zones, using a traffic distribution matrix to reflect the spatial distribution of residents' travel. The analysis process consists of four stages: traffic generation, traffic distribution, mode classification, and traffic allocation. Based on questionnaire surveys, systematic analysis and calculations can be used to determine traffic volumes at road sections and intersections, providing a quantitative analytical tool for traffic planning and management.
[0004] However, due to limitations in analytical methods, existing technologies focus on a limited range of areas, focusing on analyzing longer-distance trips between different transportation communities. They are unable to analyze shorter trips within a community, nor can they calculate the distance required to transfer from other modes to public transportation. Consequently, they cannot systematically analyze the entire process of residents' transportation and cannot answer questions about total travel distance. This, to a certain extent, limits the scope of their practical application, preventing them from deeply analyzing and revealing the complex patterns presented by residents' increasingly diverse transportation patterns, nor can they support research on the carbon emission efficiency of various transportation modes in low-carbon transportation planning. Summary of the Invention
[0005] The purpose of the present invention is to address the deficiencies of the above-mentioned background technology and provide a method for analyzing the total travel distance of multiple modes of transportation based on traffic distribution, comprehensively analyze the complex aspects of the integrated transportation system that includes multiple modes of transportation, organically combine travel on the road network, travel within the traffic community, and travel of passengers to bus stops, systematically analyze the entire process of residents' transportation, achieve the purpose of accurately calculating the total travel distance of multiple modes of transportation, and solve the technical problem that existing traffic demand analysis technology lacks data support for total travel distance.
[0006] The present invention adopts the following technical solutions to achieve the above-mentioned purpose:
[0007] A method for analyzing the total travel distance of multiple transportation modes based on traffic assignment includes the following 9 steps.
[0008] Step 1: Based on the main traffic problems to be analyzed, determine the spatial and temporal scope of residents' transportation involved in the study, and clarify the research area and time period;
[0009] Step 2: Analyze the spatial layout, administrative divisions, topography and landforms, and land use characteristics of the study area, focusing on structures and natural barriers such as roads, railways, rivers, lakes, and mountains, and divide the study area into several transportation zones;
[0010] Step 3: Analyze the functions and spatial distribution characteristics of the main road facilities and bus routes in the study area, and construct the road network and bus network of the study area respectively;
[0011] Step 4: Analyze the spatial distribution of bus routes and bus stops for each transportation zone, and calculate the bus network density and average bus stop distance for each transportation zone;
[0012] Step 5: Conduct a questionnaire survey on residents' travel characteristics in each transportation community to obtain key data on residents' travel in each transportation community and conduct statistical analysis on the key data;
[0013] Step 6: Taking the transportation district as the basic unit, analyze the main spatial characteristics of residents' transportation in the entire study area based on the key data obtained from the questionnaire survey, construct a traffic distribution matrix for multiple transportation modes, and distribute the traffic distribution matrix to the road network and bus network of the study area respectively;
[0014] Step 7: Analyze the spatial trajectory of residents' travel within the traffic zone, and calculate the non-linear coefficient of residents' travel in each traffic zone accordingly;
[0015] Step 8: Use regression analysis to study the relationship between the distance from passengers to bus stops, bus network density, and average bus stop distance, and build a calculation model for the distance from passengers to bus stops;
[0016] Step 9: Calculate the travel distances of residents using various modes of transportation within the traffic area and on the road network, calculate the distances of other modes of transportation when transferring to public transportation, and sum up the above distances to obtain the total travel distances of multiple modes of transportation.
[0017] Furthermore, the determination of the study area in step 1 should fully consider the spatial scope that the traffic problem may involve, and select areas where traffic congestion lasts for a long time, the degree of congestion is more serious, and the problems are more prominent, including all saturated or supersaturated road sections and intersections and adjacent areas that may be affected.
[0018] Furthermore, the selection of the time period in step 1 should fully consider the duration of the traffic problem, including the entire time range of the occurrence, development, climax and disappearance of traffic congestion in the study area.
[0019] Furthermore, the number of traffic zones divided in step 2 should be within a reasonable range. Too many will increase the subsequent workload, and insufficient number may affect the accuracy of the analysis. It can be determined comprehensively based on the complexity of the traffic problem and the characteristics of the study area.
[0020] Furthermore, the road facilities and bus routes considered in step 3 mainly focus on important road facilities and bus routes that carry long-distance, high-volume traffic between traffic communities, build a road network consisting of expressways, main roads and secondary roads, and build a bus network consisting of bus routes with long route lengths, high departure frequencies and large passenger flows.
[0021] Furthermore, the calculation of the bus network density of each transportation zone in step 4 includes the following four steps:
[0022] Step 4-1: Measure the length of the centerline of the road with bus routes in the traffic area. i,j , where i represents the number of the traffic zone, j represents the number of the road with bus routes in the traffic zone i, and len i,j represents the length of the centerline of the jth road with a bus route in the i-th traffic zone;
[0023] Step 4-2, measure the area of the traffic zone i , area i represents the area of the i-th traffic zone;
[0024] Step 4-3, calculate the total length of the centerline of the road with bus routes in the traffic zone: len i=∑ j len i,j ,len i represents the total length of the center lines of the roads with bus routes in the i-th traffic zone;
[0025] Step 4-4, calculate the bus network density of the transportation area: den i represents the bus network density of the i-th transportation zone.
[0026] Furthermore, the calculation of the average bus stop distance in each transportation zone in step 4 includes the following six steps:
[0027] Step 4-Ⅰ: Count the total number of bus routes R in the i-th traffic zone i
[0028] Step 4-Ⅱ, measure the length of the bus lines in the traffic area i,r , where i represents the number of the traffic zone, r represents the number of the bus line, and blen i,r represents the length of the rth bus route in the i-th transportation zone;
[0029] Step 4-III: Count the number of stops for each bus line in the traffic zone i,r , where i represents the number of the traffic zone, r represents the number of the bus line, and num i,r represents the number of stops on the rth bus route in the i-th transportation zone;
[0030] Step 4-IV, calculate the total length of bus routes within the traffic zone: blen i =∑ r blen i,r ,blen i represents the total length of bus routes in the i-th traffic zone;
[0031] Step 4-V, calculate the total number of bus stops in the traffic zone num i =∑ r num i,r , num i represents the total number of bus stops in the i-th transportation zone;
[0032] Step 4-VI: Calculate the average bus stop distance in the transportation zone Among them, i represents the number of the traffic zone, R i Indicates the total number of bus routes in the i-th traffic zone, stpd i represents the average bus stop distance in the i-th traffic zone.
[0033] Furthermore, the key data on residents' travel in each transportation zone in step 5 include the following aspects: the starting point, destination, departure time, mode of transportation, and distance to the bus stop of each traveler in each transportation zone. The mode of transportation can be divided into car, bus, non-motorized vehicle, and walking, etc.
[0034] Furthermore, the allocation of the traffic distribution matrix in step 6 needs to consider the impact of traffic volume on vehicle travel time at road sections and intersections, and adopt an incremental allocation method or a user balance allocation method.
[0035] Furthermore, the calculation of the non-linear coefficient of residents' travel in each traffic zone in step 7 includes the following four steps:
[0036] Step 7-1: Measure the straight-line distance str from the starting point to the destination of each traveler in the traffic zone i,m,t , where i represents the number of the traffic zone, m represents the number of the traffic mode, t represents the number of the traveler, str i,m,t It represents the straight-line distance from the starting point to the destination when the t-th traveler in the i-th traffic zone takes the m-th mode of transportation;
[0037] Step 7-2: Study the road network and bus network within the transportation community and analyze all possible routes for residents to travel from their starting point to their destination.
[0038] Step 7-3: Measure the shortest distance rout from the starting point to the destination of a trip taken by residents in the traffic community along all possible paths using transportation mode m. i,m,t , where i represents the number of the traffic zone, m represents the number of the traffic mode, t represents the number of the traveler, and rout i,m,t It represents the shortest distance from the starting point to the destination when the t-th traveler in the i-th traffic zone takes the m-th transportation mode;
[0039] Step 7-4, calculate the non-linear coefficient of traffic mode m in traffic area i: cnst i,m It represents the nonlinear coefficient of residents in the i-th traffic zone taking the m-th mode of transportation to travel.
[0040] Furthermore, the construction of the calculation model of the distance from the passenger to the bus stop in step 8 includes the following five steps:
[0041] Step 8-1: Select several representative transportation communities and residents who use public transportation within the selected transportation communities to obtain and match the following data: the distance required for passengers to reach the bus stop, the bus network density within the passenger's transportation community, and the average bus stop distance within the passenger's transportation community. At least six representative transportation communities should be selected.
[0042] Step 8-2: Based on the data obtained in step 8-1, draw a scatter plot of the distance between passengers and bus stops and the density of bus lines.
[0043] Step 8-3: Based on the data obtained in step 8-1, draw a scatter plot of the distance passengers travel to the bus stop and the average bus stop distance;
[0044] Step 8-4: Analyze the relationship between the dependent variable and the independent variable in the scatter plots drawn in steps 8-2 and 8-3, and select the appropriate function form for the calculation model;
[0045] Step 8-5, use regression analysis to calculate the model parameters and establish a calculation model for the distance from the passenger to the bus stop for transportation mode m: pstp m =f m (den,stpd), where den represents the bus network density of the passenger's transportation area, and stpd represents the average bus stop distance of the passenger's transportation area.
[0046] Furthermore, the calculation of the travel distance of residents using various modes of transportation within the transportation zone in step 9 includes the following three steps:
[0047] Step 9-1: Measure the straight-line distance str from the starting point to the destination of a trip when a resident takes a certain mode of transportation within the traffic zone. i,m,t , where i represents the number of the traffic zone, m represents the number of the traffic mode, t represents the number of the traveler, str i,m,t It represents the straight-line distance between the starting point and the destination of the trip when the t-th traveler in the i-th traffic zone takes the m-th mode of transportation;
[0048] Step 9-2, calculate the sum of the straight-line distances that residents travel by a certain mode of transportation within the traffic zone str i,m =∑ t str i,m,t , str i,m It represents the sum of the straight-line distances of people traveling by the mth mode of transportation within the i-th transportation zone;
[0049] Step 9-3, calculate the travel distance rstr of residents in the traffic area by a certain mode of transportation i,m =cnst i,m *stri,m , where cnst i,m is the nonlinear coefficient of traffic mode m in traffic area i, rstr i,m It represents the distance of traveling by the mth mode of transportation within the i-th transportation zone.
[0050] Furthermore, the calculation of the travel distance of residents on the road network using various modes of transportation in step 9 includes the following three steps:
[0051] Step 9-I: Measure the length of each road segment in the road network. seg , where seg represents the road segment number, lens seg Indicates the length of the segth road segment in the road network;
[0052] Step 9-II: Count the traffic volume vol of traffic mode m on each road segment m,seg , vol m,seg represents the traffic volume of the mth mode of transportation allocated to the segth road segment;
[0053] Step 9-III, calculate the travel distance netd of residents taking transportation mode m on the road network m =vol m,seg *lens seg , netd m It represents the travel distance of residents on the road network using the mth mode of transportation.
[0054] Furthermore, the calculation of the travel distance for transferring from other modes of transportation to public transportation in step 9 includes the following four steps:
[0055] Step 9-A: Calculate the distance pstp from the starting or ending point of a trip to the bus stop for a resident in transportation zone i using transportation mode m, based on the calculation model of the distance from the passenger to the bus stop. i,m =f m (den i ,stpd i ), where i represents the number of the transportation zone, m represents the number of the transportation mode, den represents the density of the bus network, stpd represents the average bus station distance, pstp i,m represents the distance from the resident who takes the mth mode of transportation to the bus stop with the i-th transportation zone as the starting point or end point of the trip, f m (den i ,stpd i ) represents the distance from the passenger to the bus stop and the bus network density of the i-th traffic area den i and the average bus stop distance stpd of the i-th traffic area i relationship;
[0056] Step 9-B: Count the number of residents who use transportation mode m to connect to public transportation starting from transportation area i i,m , orig i,m represents the number of residents who take the mth mode of transportation to connect with public transportation starting from the i-th transportation zone;
[0057] Step 9-C: Count the number of residents des who use transportation mode m to connect to public transportation in transportation area i as the destination. i,m ,des i,m It represents the number of residents who use the mth mode of transportation to connect to public transportation with the i-th transportation zone as the destination;
[0058] Step 9-D, calculate the distance shift required for transportation area i to transfer to public transportation by other transportation modes i,m =(orig i,m +des i,m )*pstp i,m , shift i,m It represents the distance that residents of the i-th transportation community travel by switching from other transportation modes to public transportation.
[0059] Furthermore, the calculation of the total travel distance of multiple modes of transportation in step 9 includes the following steps:
[0060] Step 9-a, calculate the total travel distance rstr of transportation mode m within the transportation zone m =∑ i rstr i,m , where i represents the number of the traffic zone, m represents the number of the traffic mode, rstr m represents the total travel distance of the mth mode of transportation within the transportation area;
[0061] Step 9-b, calculate the total distance shift for transportation mode m when transferring to public transportation m =∑ i shift i,m , where i represents the number of the traffic zone, m represents the number of the traffic mode, and shift m represents the total distance of the mth mode of transportation transferred to public transportation;
[0062] Step 9-c, calculate the total travel distance tds of transportation mode m m =rstr m +netd m +shift m , tds m represents the total travel distance of the mth mode of transportation;
[0063] Step 9-d, calculate the total travel distance tds of multiple modes of transportation = ∑ m tds m , tds represents the total travel distance of multiple modes of transportation.
[0064] The present invention adopts the above technical solution and has the following beneficial effects:
[0065] (1) The present invention measures and calculates the bus network density and average station spacing of a transportation community, constructs a calculation model for the distance from passengers to bus stops, and on this basis calculates the distance that residents travel by other transportation modes to transfer to buses. The bus network density and average station spacing are important indicators for bus system planning, reflecting the service quality of the bus system. These two indicators are closely related to the convenience of passengers getting to bus stops. By collecting and analyzing relevant data, studying the behavioral characteristics of various transportation modes connecting to bus travel, and accurately constructing a calculation model for the distance from passengers to bus stops, the distance between various transportation modes and bus travel can be conveniently and accurately calculated, laying a solid technical foundation for comprehensively and accurately calculating the total travel distance of various transportation modes.
[0066] (2) The present invention analyzes the paths of residents' travel by various modes of transportation within each traffic zone, calculates the non-linear coefficient of transportation travel, and then calculates the travel distance of residents by various modes of transportation within each traffic zone. The non-linear coefficient reflects the residents' path selection rules, embodies the trajectory characteristics of transportation travel, and shows the spatial layout form of the transportation network of various transportation modes within each traffic zone and the spatial distribution of transportation demand relative to the transportation network. Combined with the straight-line distance of residents' travel by various modes of transportation within the traffic zone, this coefficient can accurately calculate the travel distance of residents within each traffic zone, overcoming the shortcomings of the existing technology in this regard.
[0067] (3) The present invention calculates the long-distance travel of residents on the road network between traffic zones on the basis of traffic distribution, and organically combines it with the travel within the traffic zone and the travel of passengers to bus stops. It can systematically and comprehensively analyze the entire process of residents' traffic travel and accurately calculate the total travel distance of multiple modes of transportation. It can better respond to the increasingly high technical requirements for traffic demand analysis in the fields of traffic planning, design and management under the new situation, and better guide the practical activities of advanced transportation technologies such as smart transportation and low-carbon transportation. BRIEF DESCRIPTION OF THE DRAWINGS
[0068] Figure 1 This is a flow chart of a method for analyzing the total travel distance of multiple transportation modes based on traffic assignment. DETAILED DESCRIPTION
[0069] The technical solution of the invention is described in detail below with reference to the accompanying drawings.
[0070] This method organically combines travel on the road network, travel within the traffic zone, and travel to bus stops by passengers. By conducting a questionnaire survey on residents' travel, a traffic distribution matrix is constructed and traffic allocation is performed. The non-linear coefficient of residents' travel within the traffic zone is calculated, and a model for calculating the distance from passengers to bus stops is constructed. On this basis, the travel distance of various modes of transportation within the traffic zone, the travel distance on the road network, and the distance of other modes of transportation transferring to bus travel can be obtained. Finally, the total travel distance of multiple modes of transportation can be calculated.
[0071] The present invention will be described in further detail below with reference to the accompanying drawings. Figure 1 As shown, the present invention includes the following nine steps.
[0072] Step 1: Determine the research area and time period
[0073] Based on the primary traffic issues to be analyzed, determine the spatial and temporal scope of residents' travel, and clearly define the study area and time period. The study area should fully consider the spatial scope of the traffic issue. Select areas with prolonged, severe, and prominent congestion, including all saturated or oversaturated road sections and intersections, as well as potentially affected adjacent areas. The time period should fully consider the duration of the traffic issue, including the entire timeframe for the onset, development, peak, and subsidence of traffic congestion within the study area.
[0074] Step 2: Divide the study area into several traffic zones
[0075] Analyze the study area's spatial layout, administrative divisions, topography, landforms, and land use characteristics, focusing on structures and natural barriers such as roads, railways, rivers, lakes, and mountains. Divide the study area into several transportation zones. The number of zones should be within a reasonable range. Too many zones will increase subsequent workload, while insufficient zones may affect the accuracy of the analysis. A comprehensive approach should be considered based on the complexity of the traffic problem and the characteristics of the study area.
[0076] Step 3: Construct the road network and bus network of the study area
[0077] Analyze the functions and spatial distribution characteristics of the main road facilities and bus routes within the study area, and construct a road network and bus route network. The road facilities and bus routes primarily focus on important road facilities and bus routes that carry long-distance, high-volume traffic between transportation communities. A road network consisting of expressways, main roads, and secondary roads will be constructed, while a bus route network consisting of bus routes with long routes, high departure frequencies, and high passenger volumes will be constructed.
[0078] Step 4: Calculate the bus network density and average bus stop distance in each transportation zone
[0079] For each transportation zone, analyze the spatial distribution of bus routes and calculate the bus network density of each transportation zone, specifically:
[0080] Step 4-1: Measure the length of the centerline of the road with bus routes in the traffic area. i,j , where i represents the number of the traffic zone, and j represents the number of the road with a bus route in the traffic zone i;
[0081] Step 4-2, measure the area of the traffic zone i ;
[0082] Step 4-3, calculate the total length of the centerline of the road with bus routes in the traffic zone: len i =∑ j len i,j ;
[0083] Step 4-4, calculate the bus network density of the transportation area: For each transportation zone, the spatial distribution of bus stops is analyzed and the average bus stop distance in each transportation zone is calculated, specifically:
[0084] Step 4-Ⅰ: Count the total number of bus routes R in the i-th traffic zone i ;
[0085] Step 4-Ⅱ, measure the length of the bus lines in the traffic area i,r , where i represents the number of the traffic zone and r represents the number of the bus line;
[0086] Step 4-III: Count the number of stops for each bus line in the traffic zone i,r , where i represents the number of the traffic zone and r represents the number of the bus line;
[0087] Step 4-IV, calculate the total length of bus routes within the traffic zone: blen i =∑ r blen i,r ;
[0088] Step 4-V, calculate the total number of bus stops in the traffic zone num i =∑ r num i,r ;
[0089] Step 4-VI: Calculate the average bus stop distance in the transportation area Among them, i represents the number of the traffic zone, R iRepresents the total number of bus routes in the i-th transportation zone.
[0090] Step 5: Conduct a questionnaire survey on residents’ transportation in each transportation community
[0091] In each transportation community, a questionnaire survey focusing on residents' travel characteristics was conducted to obtain key data related to residents' travel in each transportation community, and statistical analysis of this key data was conducted. Key data related to residents' travel in each transportation community included the following aspects: the starting point and destination of each traveler in each transportation community, departure time, mode of transportation, and distance to bus stops. Transportation modes can be categorized as car, bus, non-motorized vehicle, and walking.
[0092] Step 6: Construct a traffic distribution matrix and perform traffic allocation
[0093] Taking the transportation community as the basic unit, we analyze the main spatial characteristics of residents' transportation and construct a traffic distribution matrix for various transportation modes. This distribution matrix is then allocated to the road network and public transportation network in the study area. The distribution of the traffic distribution matrix must consider the impact of traffic volume on vehicle travel time at road sections and intersections, and adopt either an incremental allocation method or a user-balanced allocation method.
[0094] Step 7: Calculate the non-linear coefficient of residents' travel in each traffic zone
[0095] For the traffic travel within the traffic zone, the spatial trajectory of residents' traffic travel is analyzed, and the non-linear coefficient of residents' traffic travel in each traffic zone is calculated, specifically:
[0096] Step 7-1: Measure the straight-line distance str from the starting point to the destination of each traveler within the traffic zone i,m,t , where i represents the number of the traffic zone, m represents the number of the traffic mode, and t represents the number of the traveler;
[0097] Step 7-2: Study the road network and bus network within the transportation community and analyze all possible routes for residents to travel from their starting point to their destination.
[0098] Step 7-3: Measure the shortest distance rout from the starting point to the destination of a trip taken by residents in the traffic community along all possible paths using transportation mode m. i,m,t , where i represents the number of the traffic zone, m represents the number of the traffic mode, and t represents the number of the traveler;
[0099] Step 7-4, calculate the non-linear coefficient of traffic mode m in traffic area i:
[0100] Step 8: Build a calculation model for the distance between passengers and bus stops
[0101] Regression analysis was used to study the relationship between the distance from passengers to bus stops, bus network density, and average bus stop distance, and a calculation model for the distance from passengers to bus stops was constructed. Specifically,
[0102] Step 8-1: Select several representative transportation communities and residents who travel by public transportation within the selected transportation communities, and obtain and match the following data: the distance required for passengers to reach the bus stop, the bus network density of the transportation community to which the passengers belong, and the average distance between bus stops in the transportation community to which the passengers belong;
[0103] Step 8-2: Based on the data obtained in step 8-1, draw a scatter plot of the distance between passengers and bus stops and the density of bus lines.
[0104] Step 8-3: Based on the data obtained in step 8-1, draw a scatter plot of the distance passengers travel to the bus stop and the average bus stop distance;
[0105] Step 8-4: Analyze the relationship between the dependent variable and the independent variable in the scatter plots drawn in steps 8-2 and 8-3, and select the appropriate function form for the calculation model;
[0106] Step 8-5, use regression analysis to calculate the model parameters and establish a calculation model for the distance from the passenger to the bus stop for transportation mode m: pstp m =f m (den,stpd), where den represents the bus network density of the passenger's transportation area, and stpd represents the average bus stop distance of the passenger's transportation area.
[0107] Step 9: Calculate the total travel distance for each mode of transportation
[0108] Using the non-linear coefficient, calculate the travel distance of residents in the traffic area by various modes of transportation, specifically:
[0109] Step 9-1: Measure the straight-line distance str from the starting point to the destination of a trip when a resident takes a certain mode of transportation within the traffic zone. i,m,t , where i represents the number of the traffic zone, m represents the number of the traffic mode, and t represents the number of the traveler;
[0110] Step 9-2, calculate the sum of the straight-line distances that residents travel by a certain mode of transportation within the traffic zone str i,m =∑ t str i,m,t ;
[0111] Step 9-3, calculate the travel distance rstr of residents in the traffic area by a certain mode of transportation i,m =cnsti,m *str i,m , where cnst i,m is the nonlinear coefficient of traffic mode m in traffic area i.
[0112] Based on the results of traffic distribution, the travel distance of residents on the road network by various transportation modes is calculated as follows:
[0113] Step 9-I: Measure the length of each road segment in the road network. seg , where seg represents the road segment number;
[0114] Step 9-II: Count the traffic volume vol of traffic mode m on each road segment m,seg ;
[0115] Step 9-III, calculate the travel distance netd of residents taking transportation mode m on the road network m =vol m,seg *lens seg .
[0116] Based on the calculation model of the distance from the passenger to the bus stop, the travel distance of other modes of transportation to transfer to the bus is calculated as follows:
[0117] Step 9-A: Calculate the distance pstp from the starting or ending point of a trip to the bus stop for a resident in transportation zone i using transportation mode m, based on the calculation model of the distance from the passenger to the bus stop. i,m =f m (den i ,stpd i ), where i represents the number of the transportation zone, m represents the number of the transportation mode, den represents the density of the bus network, and stpd represents the average bus station distance;
[0118] Step 9-B: Count the number of residents who use transportation mode m to connect to public transportation starting from transportation area i i,m ;
[0119] Step 9-C: Count the number of residents des who use transportation mode m to connect to public transportation in transportation area i as the destination. i,m ;
[0120] Step 9-D, calculate the distance shift required for transportation area i to transfer to public transportation by other transportation modes i,m =(orig i,m +des i,m )*pstp i,m .
[0121] The total travel distance of multiple modes of transportation is calculated by integrating trips within the transportation zone, trips on the road network, and trips that transfer from other modes of transportation to public transportation. Specifically, it is:
[0122] Step 9-a, calculate the total travel distance rstr of transportation mode m within the transportation zone m =∑ i rstr i,m , where i represents the number of the traffic zone and m represents the number of the traffic mode;
[0123] Step 9-b, calculate the total distance shift for transportation mode m when transferring to public transportation m =∑ i shift i,m , where i represents the number of the traffic zone and m represents the number of the traffic mode;
[0124] Step 9-c, calculate the total travel distance tds of transportation mode m m =rstr m +netd m +shift m ;
[0125] Step 9-d, calculate the total travel distance tds of multiple modes of transportation = ∑ m tds m .
[0126] The present invention proposes a method for calculating the travel distance within a transportation district and a method for calculating the distance between other transportation modes and public transportation, and organically combines it with the traffic allocation method. It can comprehensively analyze residents' travel on the road network between transportation districts, travel within transportation districts, and travel by transferring to public transportation, accurately calculate the total travel distance of multiple transportation modes, expand the application scope and analysis capabilities of existing technologies, and better guide engineering practices in the fields of transportation planning, design and management.
Claims
1. A method for analyzing the total travel distance of multiple transportation modes based on traffic distribution, characterized by: The steps include: Step 1: Determine the research area and time period; Step 2, divide the study area into traffic zones; Step 3: Construct the road network and bus network of the study area; Step 4: Calculate the bus network density and average bus stop distance of each transportation zone; Step 5: Conduct a questionnaire survey on residents' travel characteristics in each transportation community to obtain key data on residents' travel in each transportation community; Step 6: Taking the transportation district as the basic unit, analyze the spatial characteristics of residents' transportation in the entire study area based on the key data obtained from the questionnaire survey, construct a traffic distribution matrix for multiple transportation modes, and distribute the traffic distribution matrix to the road network and bus network of the study area respectively; Step 7, calculating the non-linear coefficient of residents' travel in each traffic zone; Step 8: Use regression analysis to fit the distance pstp of passengers taking the mth mode of transportation to the bus stop m The relationship between the bus network density den and the average bus stop distance stpd of the passenger's transportation area is used to construct a calculation model pstp for the distance from the passenger to the bus stop using different transportation modes. m =f m (den,stpd); Step 9: Calculate the travel distances of residents in each transportation zone by various modes of transportation in combination with the non-linear coefficients of residents' travel in the transportation zone, calculate the travel distances of residents on the road network by various modes of transportation, calculate the distances of passengers transferring from other modes of transportation to buses through the calculation model of the distances from the different modes of transportation to bus stops, and sum up the above distances to obtain the total travel distances of multiple modes of transportation.
2. The method for analyzing the total travel distance of multiple transportation modes based on traffic distribution according to claim 1, characterized in that: The specific method for calculating the bus network density of each traffic zone in step 4 is: Step 4-1: Measure the length len of the centerline of the jth road with a bus route in the i-th traffic zone i,j ; Step 4-2, measure the area of the i-th traffic zone i ; Step 4-3, calculate the total length len of the center lines of the roads with bus routes in the i-th traffic zone i :len i =∑ j len i,j ; Step 4-4, calculate the bus network density den of the i-th traffic area i :
3. The method for analyzing the total travel distance of multiple transportation modes based on traffic distribution according to claim 2, characterized in that: The specific method for calculating the average bus stop distance of each traffic zone in step 4 is: Step 4-Ⅰ: Count the total number of bus routes R in the i-th traffic zone i ; Step 4-II, measure the length of the rth bus line in the i-th traffic zone, blen i,r ; Step 4-III, count the number of stops num of the rth bus line in the i-th traffic zone i,r ; Step 4-IV, calculate the total length of bus routes in the i-th traffic zone blen i :blen i =∑ r blen i,r ; Step 4-V, calculate the total number of bus stops num in the i-th traffic zone i :num i =∑ r num i,r ; Step 4-VI, calculate the average bus stop distance stpd of the i-th traffic zone i :
4. The method for analyzing the total travel distance of multiple transportation modes based on traffic distribution according to claim 3 is characterized in that: The key data related to residents' travel in each transportation zone in step 5 include: the starting point, destination, departure time, mode of transportation, and distance to the bus stop of each traveler in each transportation zone. The transportation modes are divided into car travel, bus travel, non-motorized vehicle travel, and walking travel.
5. The method for analyzing the total travel distance of multiple transportation modes based on traffic distribution according to claim 4 is characterized in that: The step 6 considers the impact of traffic volume on vehicle travel time at road sections and intersections, and adopts an incremental allocation method or a user equilibrium allocation method to allocate the traffic distribution matrix to the road network and the bus network of the study area respectively.
6. The method for analyzing the total travel distance of multiple transportation modes based on traffic distribution according to claim 5, characterized in that: The specific method for calculating the non-linear coefficient of the traffic travel of residents in each traffic zone in step 7 is: Step 7-1: Measure the straight-line distance str from the starting point to the destination when the t-th traveler in the i-th traffic zone takes the m-th mode of transportation. i,m,t ; Step 7-2: Study the road network and bus network within the transportation community and analyze all the paths residents take from their starting point to their destination. Step 7-3: Measure the shortest distance rout from the starting point to the destination along all paths when the t-th traveler in the i-th traffic zone takes the m-th mode of transportation. i,m,t ; Step 7-4, calculate the nonlinear coefficient cnst of the residents in the i-th traffic zone who take the m-th mode of transportation i,m :
7. The method for analyzing the total travel distance of multiple transportation modes based on traffic distribution according to claim 6, characterized in that: Step 8 constructs a calculation model pstp for the distance from different modes of transportation to the bus stop. m =f m The specific method of (den,stpd) is: Step 8-1: Select at least six representative transportation communities and residents who take public transportation within the selected transportation communities, and obtain and match the following data: the distance required for passengers to reach the bus stop, the bus network density of the transportation community to which the passengers belong, and the average bus stop distance; Step 8-2: Based on the data obtained in step 8-1, draw a scatter plot of the distance between passengers and bus stops and the density of bus lines. Step 8-3: Based on the data obtained in step 8-1, draw a scatter plot of the distance passengers travel to the bus stop and the average bus stop distance; Step 8-4: Analyze the relationship between the dependent variable and the independent variable in the scatter plot drawn in Step 8-2 and Step 8-3, and select the functional form of the calculation model; Step 8-5: Use regression analysis to determine the parameters of the calculation model and establish a calculation model for the distance from the mth mode of transportation to the bus stop: pstp m =f m (den,stpd), where pstp m represents the distance that the passenger takes to reach the bus stop by the mth mode of transportation, f m (den,stpd) represents the relationship between the distance from the mth mode of transportation to the bus stop, the bus network density of the passenger's transportation area, and the average bus stop distance in the passenger's transportation area.
8. The method for analyzing the total travel distance of multiple transportation modes based on traffic distribution according to claim 7 is characterized in that: In step 9, the specific method for calculating the travel distance of residents in each traffic zone by various modes of transportation in combination with the non-linear coefficient of the residents' travel in each traffic zone is as follows: Step 9-1: Measure the straight-line distance str from the starting point to the destination of the trip when the t-th traveler in the i-th traffic zone takes the m-th mode of transportation. i,m,t ; Step 9-2, calculate the sum of the straight-line distances str of the mth mode of transportation within the i-th traffic zone i,m :str i,m =∑ t str i,m,t ; Step 9-3, calculate the distance rstr of taking the mth mode of transportation within the i-th traffic zone i,m :rstr i,m =cnst i,m *str i,m ; The specific method for calculating the travel distance of residents on the road network using various transportation modes in step 9 is: Step 9-I: Measure the length of the segth road segment of the road network. seg ; Step 9-II: Count the traffic volume vol of the mth mode of transportation on the segth road segment m,seg ; Step 9-III, calculate the travel distance netd of residents taking the mth mode of transportation on the road network m :netd m =vol m,seg *lens seg .
9. The method for analyzing the total travel distance of multiple transportation modes based on traffic distribution according to claim 8, characterized in that: In step 9, the specific method for calculating the distance of the passenger taking other transportation modes to transfer to the bus is as follows: Step 9-A: Based on the calculation model of the distance from the passenger to the bus stop, calculate the distance pstp from the resident who takes the mth mode of transportation to the bus stop with the i-th transportation zone as the starting point or end point of the transportation trip. i,m :pstp i,m =f m (den i ,stpd i ), where f m (den i ,stpd i ) represents the distance from the passenger to the bus stop and the bus network density of the i-th traffic area den i and the average bus stop distance stpd of the i-th traffic area i relationship; Step 9-B: Count the number of residents who use the mth mode of transportation to connect to public transportation starting from the i-th transportation zone. i,m ; Step 9-C: Count the number of residents des who use the mth mode of transportation to connect to public transportation with the i-th transportation zone as the destination. i,m ; Step 9-D, calculate the distance shift that residents of the i-th traffic zone need to travel by switching from other modes of transportation to public transportation i,m :shift i,m =(orig i,m +des i,m )*pstp i,m .
10. The method for analyzing the total travel distance of multiple transportation modes based on traffic distribution according to claim 9, characterized in that: The specific method for summing up the above distances in step 9 to obtain the total travel distances of multiple modes of transportation is as follows: Step 9-a, calculate the total travel distance rstr of the mth mode of transportation within the traffic zone m :rstr m =∑ i rstr i,m ; Step 9-b, calculate the total distance shift of the mth mode of transportation to transfer to public transportation m :shift m =∑ i shift i,m ; Step 9-c, calculate the total travel distance tds of the mth mode of transportation m :tds m =rstr m +netd m +shift m ; Step 9-d, calculate the total travel distance tds of multiple modes of transportation: tds = ∑ m tds m .
Citation Information
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