Analysis on Route Choice Behavior in Seamless Transfer Urban Rail Transit Network

2008 ◽  
Author(s):  
Yun Bai ◽  
Jian-feng Liu ◽  
Zhuang-zhi Sun ◽  
Bao-hua Mao
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Route Choice Behavior ◽  
Urban Rail ◽  
Seamless Transfer ◽  
Urban Rail Transit Network

scholarly journals Hybrid Random Regret Minimization and Random Utility Maximization in the Context of Schedule-Based Urban Rail Transit Assignment

2018 ◽  
Vol 2018 ◽  
pp. 1-28 ◽  
Author(s):  
Dewei Li ◽  
Yufang Gao ◽  
Ruoyi Li ◽  
Weiteng Zhou
Keyword(s):  
Utility Maximization ◽  
Choice Behavior ◽  
Route Choice ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Assignment ◽  
Regret Minimization ◽  
Transit Network ◽  
Route Choice Behavior ◽  
Urban Rail

Route choice is one of the most critical passenger behaviors in public transit research. The utility maximization theory is generally used to model passengers’ route choice behavior in a public transit network in previous research. However, researchers have found that passenger behavior is far more complicated than a single utility maximization assumption. Some passengers tend to maximize their utility while others would minimize their regrets. In this paper, a schedule-based transit assignment model based on the hybrid of utility maximization and regret minimization is proposed to study the passenger route choice behavior in an urban rail transit network. Firstly, based on the smart card data, the space-time expanded network in an urban rail transit was constructed. Then, it adapts the utility maximization (RUM) and the regret minimization theory (RRM) to analyze and model the passenger route choice behavior independently. The utility values and the regret values are calculated with the utility and the regret functions. A transit assignment model is established based on a hybrid of the random utility maximization and the random regret minimization (RURM) with two kinds of hybrid rules, namely, attribute level hybrid and decision level hybrid. The models are solved by the method of successive algorithm. Finally, the hybrid assignment models are applied to Beijing urban rail transit network for validation. The result shows that RRM and RUM make no significant difference for OD pairs with only two alternative routes. For those with more than two alternative routes, the performance of RRM and RUM is different. RRM is slightly better than RUM in some of the OD pairs, while for the other OD pairs, the results are opposite. Moreover, it shows that the crowd would only influence the regret value of OD pair with more commuters. We conclude that compared with RUM and RRM, the hybrid model RURM is more general.

Study on Route Choice Behavior of Urban Rail Transit Passengers

2014 ◽  
Vol 587-589 ◽  
pp. 2252-2256
Author(s):  
Sha Sha Liu ◽  
En Jian Yao ◽  
Yong Sheng Zhang ◽  
Ling Lu
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Personal Characteristics ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Comfort Index ◽  
Route Choice Behavior ◽  
Urban Rail ◽  
New Variables ◽  
Vehicle Travel Time

In order to capture spatiotemporal distribution pattern of passenger flow under networked condition, it is necessary to analyze route choice behavior of urban rail transit passengers. First, angular cost value and comfort index are defined to reflect the influence of network structures, route directions and in-vehicle congestion on passengers’ route choice behavior respectively; Then, two route choice models are proposed respectively for peak and off-peak hours, in which new variables including angular cost value, comfort index and personal characteristics, as well as level of service variables (i.e. in-vehicle travel time, number of transfers and transfer time etc. , which are usually found in the base model) are considered. Finally, the models are calibrated with the surveyed data from Guangzhou Metro and compared with each other. The results show that the new variables significantly improve models’ explanatory and predictive abilities on route choice behavior of urban rail transit passengers.

Study of Passengers’ Route Choice of Urban Rail Transit Network under the Emergency

2014 ◽  
Vol 587-589 ◽  
pp. 1940-1943 ◽  
Author(s):  
Qian Li ◽  
Yong Qin ◽  
Zi Yang Wang ◽  
Lin Qing Zhang
Keyword(s):  
Comparative Analysis ◽  
Choice Model ◽  
Route Choice ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Urban Rail ◽  
Urban Rail Transit Network ◽  
The Impact

In this paper, through the analysis of emergency’s impact on passengers’ route choice, a passengers’ route choice model was found of urban rail transit net and based on the model to analysis the instance. Through comparative analysis the impact of offering guidance by supplying information, the result showed that under the guidance by supplying information, the passengers is divided due to their own preferences on different paths property, comparing to no information to guide, the system has been optimized.

Research on Hyperpaths in the Urban Rail Transit Network

2014 ◽  
Vol 488-489 ◽  
pp. 1439-1443
Author(s):  
Jin Hai Li ◽  
Jian Feng Liu
Keyword(s):  
Large Scale ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Travel Costs ◽  
Urban Rail ◽  
Distinctive Structure ◽  
Feasible Path ◽  
Definition Of ◽  
Urban Rail Transit Network

Hyperpaths enumeration is one of the basic procedures in many traffic planning issues. As a result of its distinctive structure, hyperpaths in Urban Rail Transit Network (URTN) are different from those in road network. Typically, one may never visit a station more than once and would never transfer from one line to another that has been visited in a loopless URTN, meaning that stations a hyperpath traversed cannot be repeated, neither do lines in loopless networks. This paper studies the relationships between feasible path and the shortest path in terms of travel costs. In this paper, a new definition of hyperpath in URTN is proposed and a new algorithm based on the breadth first searching (BFS) method is presented to enumerate the hyperpaths. The algorithm can safely avoid hyperpath omission and can even be applied in networks containing loops as well. The influence of parameters on hyperpaths is studied by experimentally finding hyperpaths in the subway network in Beijing. A group of suggested parameter pairs are then given. Finally, a numerical experiment is used to illustrate the validity of the proposed algorithm. The results imply the significance of the convergence of the BFS algorithm which can be used to search hyperpaths in large scale URTN even with loop.

Safety Assessment Method for Equipment of Urban Rail Transit Network Operation

2014 ◽  
Vol 513-517 ◽  
pp. 3958-3963 ◽  
Author(s):  
Bo Gao ◽  
Ling Xi Zhu ◽  
Xue Mei Xiao
Keyword(s):  
Safety Assessment ◽  
Spatial Information ◽  
Urban Rail Transit ◽  
Assessment Model ◽  
Rail Transit ◽  
Source Information ◽  
Transit Network ◽  
Urban Rail ◽  
Network Operation ◽  
Urban Rail Transit Network

Based on the multi-source information fusion and complex network theory, through studying the effective matching and integration of safety equipment and spatial information of urban rail transit network operation, a safety assessment model is proposed: through equipment fusion and the node fusion, the global safety parameter is obtained, which is accurate in description and evaluation of urban rail transit operating than the partial safety factors and realize the transform from microscopic description to macroscopic description.

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