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

2013 ◽  
Vol 5 ◽  
pp. 582703 ◽  
Author(s):  
Jia Feng ◽  
Baohua Mao ◽  
Zhijie Chen ◽  
Yun Bai ◽  
Minggao Li
Keyword(s):  
Rail Transit ◽  
Departure Time ◽  
Departure Time Choice ◽  
Morning Commute

scholarly journals ARRIVAL TIME VALUATION OF COMMUTERS IN URBAN RAIL TRANSIT

Transport ◽  
2019 ◽  
Vol 34 (3) ◽  
pp. 383-393
Author(s):  
Yan Cheng ◽  
Xiafei Ye ◽  
Zhi Wang
Keyword(s):  
Reference Point ◽  
Arrival Time ◽  
Choice Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Value Functions ◽  
Schedule Delay ◽  
Urban Rail ◽  
Departure Time ◽  
Departure Time Choice

Departure time choice of commuters is one of key decisions affecting the crowding of urban rail transit network during peak hours. It is influenced by arrival time value, the additional psychological pressure caused by in-vehicle crowding, and time uncertainty. This paper aims at investigating how commuters in urban rail transit value their arrival time at work/school. Three valuation frameworks are proposed based on the reference point approach of prospect theory. Non-linear value functions with different reference point alternatives are estimated using data from a survey and stated choice study of users of Shanghai Metro system. Results show that schedule delay with work/school start time as the only reference point cannot properly reflect the arrival time valuation of urban rail transit commuters. Instead, the valuation framework with preferred arrival time as a reference point fits best, which hits as much as 85.64% of the cases. The asymmetrical response to early-side and late-side arrivals is identified. The findings of this study provide an essential basis for the development of departure time choice model.

scholarly journals Identifying Crowding Impact on Departure Time Choice of Commuters in Urban Rail Transit

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yan Cheng ◽  
Xiafei Ye ◽  
Taku Fujiyama
Keyword(s):  
Reference Point ◽  
Arrival Time ◽  
Choice Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Peak Time ◽  
Urban Rail ◽  
Departure Time ◽  
Departure Time Choice ◽  
The Impact

Crowding in urban rail transit is an inevitable issue for most of the high-density cities across the world, especially during peak time. For commuters who have considerably fixed destination arrival times, departure time choice is an important tool to adjust their trips. The ignorance of crowding impact on commuters’ departure time choice in urban rail transit may cause errors in forecasting dynamic passenger flow during peak time in urban rail transit. The paper develops a mixed logit model to identify how crowding impacts the departure time choice of commuters and their taste variation. Arrival time value was firstly measured in a submodel by applying the reference point approach and then integrated to the main model. Considering the characteristics of human perception, we divided crowding into five grades with distinct circumstances. All parameter distributions were assumed based on their empirical distributions revealed through resampling. The data from Shanghai Metro used for estimation were collected by a specifically designed survey, which combines revealed preference questions and stated preference experiments to investigate the willingness and extent of changing departure time choice of passengers who experienced various grades and duration of crowding in the most crowded part. The result shows that an asymmetric valuation model with preferred arrival time as the only reference point best captured commuters’ responses to arrival time. The departure time choice model clearly identified that only crowding ranging from Grades 3 to 5 had an impact on commuters’ departure time choice. The parameters of crowding costs can be assumed to follow transformed lognormal distributions. It is found that the higher the grade of crowding is, the bigger the impact each unit of crowding cost has on commuters’ departure time choice, while commuters’ tastes get more concentrated when crowded situation upgrades. The model in this paper can help policymakers better understand the interaction between commuters’ departure time choice and crowding alleviation.

scholarly journals Modeling the Morning Commute Problem in a Bottleneck Model Based on Personal Perception

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Xiao Guo ◽  
Huijun Sun
Keyword(s):  
Travel Behavior ◽  
Travel Choice ◽  
Numerical Examples ◽  
Bottleneck Model ◽  
Model Based ◽  
Work Area ◽  
Departure Time ◽  
Departure Time Choice ◽  
Morning Commute ◽  
Living Area

This paper studies the travel behavior of travelers who drive from the living area through the highway to the work area during the morning rush hours. The bottleneck model based on personal perception travel behavior has been investigated. Based on their willingness to arrive early, travelers can be divided into two categories: active travelers and negative travelers. Three possible situations have been considered based on travelers’ personal perception. Travelers’ travel choice behaviors are analyzed in detail and equilibrium is achieved with these three situations. The numerical examples show that the departure time choice of the travelers is related not only to the proportion of each type of travelers, but also to personal perceived size.

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