A Model for the Stop Planning and Timetables of Customized Buses

Ma, Jihui; Zhao, Yifan; Yang, Yang; Liu, Tao; Guan, Wei; Wang, Jiao; Song, Cuiying

doi:10.1371/journal.pone.0168762

Cited by 38 publications

(18 citation statements)

References 24 publications

(21 reference statements)

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“…There have been a wide range of studies focusing on demand identification [18,19], service design and operation optimization [20][21][22][23], and performance evaluations [24] of demand-responsive transit systems. Nevertheless, the transit systems analyzed in the above studies primarily provide services for elderly and disabled people.…”

Section: Literature Reviewmentioning

confidence: 99%

Role of Customized Bus Services in the Transportation System: Insight from Actual Performance

Wang

Yamamoto

Liu

2019

Journal of Advanced Transportation

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After attaining great prevalence from the end of 2013, customized bus (CB) transit services have experienced a huge decline in China. The feasibility of this new bus sharing system is thus being questioned. Therefore, it is imperative to investigate the actual role of CB services in the overall transportation system based on successful cases, as the role of the CB service determines its primary service object, system construction, marketing orientation, and even government function. To examine the role of CB services, this study investigates the practical performance, advantages, and spatial and temporal coverage of a successful CB system based on practical subscription data for more than two years. The results illustrate that the CB service is an eclectic choice that can balance service quality and cost between traveling by traditional public transportation (PT) and private cars/taxis. Even though the travel cost increased to a limited extent, the CB service significantly improved the travel experience in terms of the travel time, travel speed, number of stations, and difference arrival time compared to PT services. The multinomial logit model and regression models demonstrate a significant positive relationship between the relative advantage and amount of demand for the CB services. Furthermore, the CB service primarily serves trips generated during the peak traffic hours of the city and supplements traditional PT service in areas with poor coverage levels.

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Section: Literature Reviewmentioning

confidence: 99%

Role of Customized Bus Services in the Transportation System: Insight from Actual Performance

Wang

Yamamoto

Liu

2019

Journal of Advanced Transportation

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“…Such self-contradictory requests should be deleted to avoid infeasible solutions to the model. For this purpose, we use formula (21) to detect self-contradictory requests:…”

Section: Preprocessingmentioning

confidence: 99%

Designing a New Shuttle Service to Meet Large-Scale Instantaneous Peak Demands for Passenger Transportation in a Metropolitan Context: A Green, Low-Cost Mass Transport Option

Zheng¹,

Chen²,

Zhang³

et al. 2019

Sustainability

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Currently, the green, sustainable development of metropolises is hindered by problems caused by Large-scale Instantaneous Peak-demands for Passenger-transportation (LIPP), such as traffic congestion and air pollution. To mitigate these problems, we propose a new type of demand-responsive service as an alternative to inefficient "door-to-door" service. The proposed service is based on service units designed to aggregate passengers for shuttle service. To guarantee service quality and efficiency, a maximum passenger walking time constraint, a request rejection mechanism and a scheme for ensuring solution feasibility are considered. Through numerical experiments, we prove the following: (i) the proposed transport option exhibits better performance (by 40.37% for passengers and by 35.79% for operators) than the door-to-door transport option for solving real cases. (ii) By testing different datasets, we prove that the proposed service is more suitable for the request distributions that are spatiotemporally concentrated. (iii) Regarding the individual components of the proposed clustering-first, routing-second solution framework, the proposed soft clustering algorithm exhibits better performance than the classical hard clustering method (by 8%), and the proposed routing algorithm is 1.5 times more efficient than the commercial solution software GAMS. Sustainability 2019, 11, 5025 2 of 28This study is motivated by the desire to seek a new type of demand-responsive service, called large-scale instantaneous-peak-demand-responsive express shuttle service (LIPDRS), that can accommodate the LIPP of a metropolis, while balancing the benefits to operators and passengers. As an alternative to "door-to-door" transportation or frequency services, LIPDRS requires passengers to gather at certain locations, from which they are served by shuttles. Therefore, the LIDPRS design process involves first assigning passengers to certain service units and then transporting them along certain routes. LIPDRS has the advantages of a large capacity (ability to accommodate occasional massive demands), high flexibility (planning based on dynamic phone/Internet requests), low cost (affordability for passengers) and an acceptable level of convenience (passengers are required to gather at certain locations to be served in accordance with their requests). With these advantages, LIPDRS is an innovative means of increasing accessibility between high-circulation areas in a metropolis, such as residential districts and central business districts. As a complement to passenger transit systems, LIPDRS can help solve mobility and accessibility problems in a metropolitan context. In addition, this new transport option can encourage people to reduce their proportions of travel by private cars and thus reduce the cost of and pollution due to urban transportation, thereby improving the sustainability of metropolitan development.However, the realization of LIPDRS comes at the cost of additional complexity. Since passengers are required to gather at certain locatio...

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“…The function w (x) is a helper function to Constraints (9) ensure that the headway obtained is in accordance with the number of available fleets and above the minimum service standards provided. Constraints (10) ensure that the headway obtained is above the company's expectations of passenger conditions. Constraint (10) assures that the resulting solution is an integer of 1 to the number of set members of that number (|Y|).…”

Section: B Problem Solutionmentioning

confidence: 99%

“…Constraints (10) ensure that the headway obtained is above the company's expectations of passenger conditions. Constraint (10) assures that the resulting solution is an integer of 1 to the number of set members of that number (|Y|). Model Eqs (7)- (11) have not produced a bus departure time table.…”

Section: B Problem Solutionmentioning

confidence: 99%

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Sensitivity Analysis Model Bus Timetabling Problem by Considering Passenger Ease

2019

ijrte

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The optimal Model Bus Timetabling Problem (MBTP) is a simplification of bus scheduling cases where a bus departure schedule with the optimal number of trips will be searched. The optimal number of trips is defined by maximizing the profit function of the bus by considering constraints such as the availability of buses, the executing officers, the number of passengers and the travel time. This model was developed by adding the constraints of ease of passengers in remembering the schedule. The model is then modified and completed using the branch and bound algorithm. The result of the sensitivity analysis to the model shows that the addition of bus or employee by the manager will not be directly proportional to the addition of passengers. So the addition of buses and employees is done when passengers increase. In addition, the addition of constraints ease passengers in reading the time table will make the increase in corporate profits with the consequences of decreased levels of passenger comfort. If the company chooses to improve the comfort of passengers it will affect the increase of the company's operational costs.

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A Model for the Stop Planning and Timetables of Customized Buses

Cited by 38 publications

References 24 publications

Role of Customized Bus Services in the Transportation System: Insight from Actual Performance

Role of Customized Bus Services in the Transportation System: Insight from Actual Performance

Designing a New Shuttle Service to Meet Large-Scale Instantaneous Peak Demands for Passenger Transportation in a Metropolitan Context: A Green, Low-Cost Mass Transport Option

Sensitivity Analysis Model Bus Timetabling Problem by Considering Passenger Ease

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