scholarly journals Influence of In-vehicle Crowding on Passenger Travel Time Value: Insights from Bus Transit in Shanghai, China

2021 ◽  
Author(s):  
Minhua Shao ◽  
Congcong Xie ◽  
Tianye Li ◽  
Lijun Sun
Keyword(s):  
Travel Time ◽  
Bus Transit ◽  
Time Value ◽  
Passenger Travel

scholarly journals Stop Plan of Express and Local Train for Regional Rail Transit Line

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qin Luo ◽  
Yufei Hou ◽  
Wei Li ◽  
Xiongfei Zhang
Keyword(s):  
Energy Consumption ◽  
Travel Time ◽  
Programming Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Long Distance ◽  
Passenger Travel ◽  
Urban Rail ◽  
Proposed Model ◽  
Rail Line

The urban rail transit line operating in the express and local train mode can solve the problem of disequilibrium passenger flow and space and meet the rapid arrival demand of long-distance passengers. In this paper, the Logit model is used to analyze the behavior of passengers choosing trains by considering the sensitivity of travel time and travel distance. Then, based on the composition of passenger travel time, an integer programming model for train stop scheme, aimed at minimizing the total passenger travel time, is proposed. Finally, combined with a certain regional rail line in Shenzhen, the plan is solved by genetic algorithm and evaluated through the time benefit, carrying capacity, and energy consumption efficiency. The simulation result shows that although the capacity is reduced by 6 trains, the optimized travel time per person is 10.34 min, and the energy consumption is saved by about 16%, which proves that the proposed model is efficient and feasible.

scholarly journals Travel Time Estimation as a Global Trend in the Analysis of Innovative Transportation Projects

2021 ◽  
Vol 129 ◽  
pp. 11011
Author(s):  
Alexey Romanov ◽  
Maria Lyakina
Keyword(s):  
Travel Time ◽  
Value Added ◽  
Time Estimation ◽  
Economic Effects ◽  
Travel Time Estimation ◽  
Transport Costs ◽  
Time Value ◽  
Transportation Projects ◽  
Wide Range ◽  
Analysis System

Research background: The problem of evaluating the results of innovative transport technologies is extremely important for their implementation and realization. The assessment of possible benefits of innovative transport projects is complicated by a number of circumstances. These include a wide range of arising effects in various forms and the long life cycle of the project, which increases the difficulty of reliably measuring the various costs and results. Thus, it can be argued that outdated approaches and methods for assessing the new transport products hinder the development of innovations. Purpose of the article: to identify directions for assessing the travel time value in the analysis of the transportation projects economic efficiency. Methods: The study was conducted by means of scientific methods such as the comparative analysis, system method, generalization and abstraction. Also, we use the results of expert assessments based on depth-in interviews. Findings & Value added: The article substantiates the necessity of taking into account the incremental benefits for passengers from travel time reduction as the most important aspect of transport projects implementation, ensuring the formation of the whole range of external social and economic effects; The multi-factor dependence of the travel time value for a passenger, which is characterised by its heterogeneity during a journey, has been substantiated. The necessity of assessing changes of travel time values in the general transport costs of passengers has been substantiated, taking into account the several factors that lead to different time values. A visual model of the socio-economic effects formation of the HSR project, caused by changes in the passengers’ total transport costs and increased transport accessibility of the region, is proposed.

scholarly journals Passenger Travel Time Reliability for Multimodal Public Transport Journeys

2019 ◽  
Vol 2673 (2) ◽  
pp. 149-160 ◽  
Author(s):  
Malvika Dixit ◽  
Ties Brands ◽  
Niels van Oort ◽  
Oded Cats ◽  
Serge Hoogendoorn
Keyword(s):  
Travel Time ◽  
Network Reliability ◽  
Real Life ◽  
Travel Time Reliability ◽  
Behavioral Models ◽  
Buffer Time ◽  
Passenger Travel ◽  
Departure Time Choice ◽  
Multiple Routes ◽  
The Impact

Urban transit networks typically consist of multiple modes and the journeys may involve a transfer within or across modes. Therefore, the passenger experience of travel time reliability is based on the whole journey experience including the transfers. Although the impact of transfers on reliability has been highlighted in the literature, the existing indicators either focus on unimodal transfers only or fail to include all components of travel time in reliability measurement. This study extends the existing “reliability buffer time” metric to transit journeys with multimodal transfers and develops a methodology to calculate it using a combination of smartcard and automatic vehicle location data. The developed methodology is applied to a real-life case study for the Amsterdam transit network consisting of bus, metro, and tram lines. By using a consistent method for all journeys in the network, reliability can be compared between different transit modes or between multiple routes for the same origin–destination pair. The developed metric can be used to study the reliability impacts of policies affecting multiple transit modes. It can also be used as an input to behavioral models such as mode, route, or departure time choice models.

scholarly journals Multi-View Interactive Visual Exploration of Individual Association for Public Transportation Passengers

2020 ◽  
Vol 10 (2) ◽  
pp. 628
Author(s):  
Di Lv ◽  
Yong Zhang ◽  
Jiongbin Lin ◽  
Peiyuan Wan ◽  
Yongli Hu
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Travel Behavior ◽  
Visual Exploration ◽  
Passenger Travel ◽  
Working Together ◽  
Transport Safety ◽  
Abnormal Behaviors ◽  
The Relationship ◽  
Pixel Matrix

More and more people in mega cities are choosing to travel by public transportation due to its convenience and punctuality. It is widely acknowledged that there may be some potential associations between passengers. Their travel behavior may be working together, shopping together, or even some abnormal behaviors, such as stealing or begging. Thus, analyzing association between passengers is very important for management departments. It is very helpful to make operational plans, provide better services to passengers and ensure public transport safety. In order to quickly explore the association between passengers, we propose a multi-view interactive exploration method that provides five interactive views: passenger 3D travel trajectory view, passenger travel time pixel matrix view, passenger origin-destination chord view, passenger travel vehicle bubble chart view and passenger 2D travel trajectory view. It can explore the associated passengers from multiple aspects such as travel trajectory, travel area, travel time, and vehicles used for travel. Using Beijing public transportation data, the experimental results verified that our method can effectively explore the association between passengers and deduce the relationship.

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