Departure time and route choice of commuters on mass transit systems

Sumi, Tomonori; Matsumoto, Yoshiji; Miyaki, Yasuyuki

doi:10.1016/0191-2615(90)90001-f

Cited by 30 publications

(10 citation statements)

References 5 publications

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“…Last, the approach requires the same property of aggregate interval for forecasting utilization. Furthermore, utilization of the logit model approach in this method leads to insufficiency of those models in the transform capability (Sumi et al, 1990). It is often difficult to clarify how each the particular factors affects the observed result when using the approach model comprehensively, particularly when conforming to the real world.…”

Section: Introductionmentioning

confidence: 98%

“…In the context of the continuous method utilized in order to relieve the limitation of the discrete method relating to the transform capability limitation, Sumi, Matsumoto, & Miyaki (1990) began to introduce an approach model to reduce the transferability limitation issues. The model assumed that departure time decision of work travellers are affected only by the operational features of a transit system.…”

Section: Introductionmentioning

confidence: 99%

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Accommodating flexible daily temporal constraint on a continuous choice model of departure time for urban shopping travel

Ramli

Oeda

Sumi

et al. 2011

International Journal of Urban Sciences

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This paper attempts to propose departure time choice model of travellers for oneday shopping travel based on the consideration of the availability of flexible temporal constraint during noon until evening, namely praying time. The model assumes that travellers decide their departure time to minimize the disutility of shortage stay time at the shopping centre, disutility of lateness home arrival time, and disutility of the flexible daily temporal constraint. It is applied to urban shopping travellers on the basis of their home-shopping, centre-home travel pattern. The model is confirmed by a goodness of fit test. It can be applied to develop a model of travel patterns and chosen in further studies.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Accommodating flexible daily temporal constraint on a continuous choice model of departure time for urban shopping travel

Ramli

Oeda

Sumi

et al. 2011

International Journal of Urban Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the 1990s, researchers studied the departure time choice of commuters who utilize mass transit in peak periods, which is termed the "bus-corridor problem. " Sumi et al [5] proposed an optimization model of commuters' departure time and route choice in mass transit systems, in which a commuter's departure time is mainly determined by his or her scheduled arrival and the operational features of the system. Arnott and DePalma [6] conjectured a departure pattern of equilibrium; however, the pattern was not proven because of a discretization problem.…”

Section: Introductionmentioning

confidence: 99%

Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System

Xie

Jia

et al. 2014

Discrete Dynamics in Nature and Society

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With the growing problem of urban traffic congestion, departure time choice is becoming a more important factor to commuters. By using multiagent modeling and the Bush-Mosteller reinforcement learning model, we simulated the day-to-day evolution of commuters' departure time choice on a many-to-one mass transit system during the morning peak period. To start with, we verified the model by comparison with traditional analytical methods. Then the formation process of departure time equilibrium is investigated additionally. Seeing the validity of the model, some initial assumptions were relaxed and two groups of experiments were carried out considering commuters' heterogeneity and memory limitations. The results showed that heterogeneous commuters' departure time distribution is broader and has a lower peak at equilibrium and different people behave in different pattern. When each commuter has a limited memory, some fluctuations exist in the evolutionary dynamics of the system, and hence an ideal equilibrium can hardly be reached. This research is helpful in acquiring a better understanding of commuter's departure time choice and commuting equilibrium of the peak period; the approach also provides an effective way to explore the formation and evolution of complicated traffic phenomena. Hindawi Publishing Corporation

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“…The early studies always focused on the principle of the departure time choice of the morning commute such as the equilibrium existence and uniqueness [1][2][3][4][5]. The equilibrium problem is related to many different problems in operations research, such as travel competition [6], heterogeneity of commuters [7,8], and passenger assignment problem [9].…”

Section: Introductionmentioning

confidence: 99%

A Departure Time Choice for Morning Commute Considering Train Capacity of a Rail Transit Line

Feng

Mao

Chen

et al. 2013

Advances in Mechanical Engineering

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Every commuter utilizing urban rail transit decides the departure time from home to a station according to individual judgment for the biggest possibility to board a train as soon as possible after the arrival. Therefore, the departure time choice behavior of the commuters is complicated especially when the transport capacity of this transit line cannot meet the travel demands of its users in rush hour. This research first develops a travel cost function mainly considering the travel time to rationally describe the volume distribution of the commuters arriving at a station at different time periods. Furthermore, an optimization model is accordingly proposed to rationalize the arrival distribution of the commuters on the basis of the amount of the arrived commuters who are able to board a train from the perspective of the systematic operation of a rail transit line for the minimal total travel cost of all the commuters along this line. It is found that the total travel cost can be reduced by 19.0% at most through the arrival distribution rationalization with the optimization model.

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Departure time and route choice of commuters on mass transit systems

Cited by 30 publications

References 5 publications

Accommodating flexible daily temporal constraint on a continuous choice model of departure time for urban shopping travel

Accommodating flexible daily temporal constraint on a continuous choice model of departure time for urban shopping travel

Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System

A Departure Time Choice for Morning Commute Considering Train Capacity of a Rail Transit Line

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