Study on the Selection Model of Staying Adjustment Bus Lines along Rail Transit

Cui, Jie; Gao, Yueer; Cheng, Jing; Shi, Lei

doi:10.1155/2020/6385359

Cited by 11 publications

(4 citation statements)

References 11 publications

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“…Wei et al [d7] used the smart card data in the urban public transportation system to generate a passenger origin-destination (OD) matrix and determined the routes and stops to be adjusted by analyzing boarding and alighting numbers at each stop. Cui et al [48] determined potential bus lines to be optimized by evaluating the utility of colocation segments of bus lines and metro networks. In addition, some scholars selected bus lines along metro lines that need to be adjusted based on passenger travel preferences.…”

Section: Bus Line Optimization Combined With Metro Networkmentioning

confidence: 99%

An Optimization Strategy for Truncating Ultralong Bus Lines Integrated with Metro Networks

Song,

Chen,

2024

Journal of Advanced Transportation

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For most ultralong bus lines, low punctuality rates and vehicle bunching are two main challenges. One potential strategy to solve these two problems is to split an ultralong line into two or three shorter lines according to historical passenger flow patterns as well as other presetting objectives and constraints. Thus, in this paper, a multiobjective optimization model is first established in consideration of both passenger flow distribution and coline metro networks. Then, the optimal truncated stop is determined by estimating the model results generated by enumerating each potential bus stop derived from related metro stops. The nondominated sorting genetic algorithm II (NSGA-II) is applied to solve the model efficiently. A case study conducted on a real bus line associated with metro networks in Beijing, China, demonstrates the efficiency of the optimization strategy adoption in terms of operating cost and passenger travel time, even with a slight increase in passenger cost. Besides, the multivehicle type is also referred in the experiments to verify economic efficiency to reduce operational costs.

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Section: Bus Line Optimization Combined With Metro Networkmentioning

confidence: 99%

An Optimization Strategy for Truncating Ultralong Bus Lines Integrated with Metro Networks

Song,

Chen,

2024

Journal of Advanced Transportation

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“…erefore, in the megacities, to effectively alleviate the passenger flow pressure, travel modes should be diverted from rail transit to buses, and the coordinated development of public transportation should be realized [17,18]. Beijing, Shanghai, Guangzhou, Shenzhen, Suzhou, and other cities have successively implemented transfer preferential policies to promote rail transit and bus transfers.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security

Luo

Zhou

et al. 2022

Journal of Advanced Transportation

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Based on a stated preference survey, we comprehensively analyze the travel psychology of residents and the advantages and disadvantages of rail transit and conventional buses, travel time, travel cost, travel security, and vehicle comfort and investigate the relationship between the relevant influencing factors and the transition probability from rail transit to buses. A stochastic utility theory is introduced to describe the transfer behavior pertaining to travel modes, and a binary Logit model for diversion transfer is constructed. The decision tree is also used to predict the diversion transfer. Then, based on the large amount of travel willingness data obtained through the stated preference survey, a maximum likelihood estimation method is used to calibrate the parameters of the binary Logit model. The performance of the binary Logit proves to be better than that of the decision tree. Results show that the travel time most notably affects the passenger flow transfer, followed by the vehicle comfort. Finally, Guangzhou Rail Transit Line 3 is considered an example, and the diversion route planning and design are performed according to the constructed diversion transfer probability model to verify the effectiveness and practicability of the model. The research provides an effective theoretical basis and technical reference for other cities to perform rail traffic diversion planning. Based on these results, the following suggestions can be made: (1) the organization of public transportation routes, delivery volume, and travel speed outside should be improved; (2) undertaking combined operation of bus and rail transportation and integrated development is preferred; (3) the transportation management should focus on the comprehensive function development and hardware support of public transportation stations. The convenience and comfort of rail transit are closely related to the facilities and functions of the stations and their connections, which should be highly valued.

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“…The reconfiguration of bus services in an urban area with a newly constructed rail transit system was investigated; the rail transit services are taken as the backbone, and the bus services are reconfigured to better integrate with rail services 9 . Recently, Cui et al proposed a model for the adjustment of bus routes along a rail transit line; the generalized travel time costs and travel time savings proportion in the collinear section of rail transit and bus was optimized 6 . Wei et al studied how to adjust and optimize the original bus routes based on bus and metro integration 7 .…”

Section: Introductionmentioning

confidence: 99%

An adjustment framework for mitigating the impact of rail transit construction on bus operations

Chen

et al. 2022

Sci Rep

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During the construction of rail transit, some road resources are occupied under construction and hence the capacity of affected road sections is reduced. Due to such temporary impact, the low operational efficiency of bus routes when passing these road sections is following suit, which is inevitably detrimental to the short-term traffic conditions and the urban environment. This paper proposes a three-step adjustment framework to actively mitigate the impact of rail transit construction on bus operations. In Step I, a criterion is developed for selecting bus routes significantly affected due to rail transit construction. In Step II, we design a stop-skipping strategy and truncation strategy, and check whether they are opportune to ameliorate the service of each affected bus route. Yet, these two strategies result in a loss of ridership since some previous stops are not served. In Step III, the feeder bus service is further designed to guarantee spatial coverage nearby the construction area. A mixed-integer linear programming model is developed to determine the optimal configuration of the feeder bus service incorporating two strategies. Finally, a case study based on the Sioux-Falls network is carried out to demonstrate that the proposed adjustment framework is conducive to mitigating negative construction effects and reducing costs.

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Study on the Selection Model of Staying Adjustment Bus Lines along Rail Transit

Cited by 11 publications

References 11 publications

An Optimization Strategy for Truncating Ultralong Bus Lines Integrated with Metro Networks

An Optimization Strategy for Truncating Ultralong Bus Lines Integrated with Metro Networks

Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security

An adjustment framework for mitigating the impact of rail transit construction on bus operations

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