Route Choice in Subway Station during Morning Peak Hours: A Case of Guangzhou Subway

Abstract

This paper is aimed at crowding phenomenon in the subway. As passengers are inclined to choose the route with minimum disutility, we put forward a route choice model which is constructed to achieve minimum objective function of feasibility for the optimal solution. Meanwhile we set passenger volume threshold values according to capacity of facilities. In the case of actual capacity exceeding the threshold, the decision node of constrained route will be selected; computing procedure about searching decision points will be presented. Then we should set rational restrictions at the decision node of the minimum utility function route to prevent too many passengers' access to platform. Through certification, this series of methods can effectively ensure the safety of the station efficient operation. Hindawi Publishing Corporation

Guiding crowds when facing limited compliance: Simulating strategies

“…Looking at the various systems and concepts that have been developed to guide people, we find that studies present similar ideas without citing each other, e.g. [ 4 , 5 ], and that they use terms differently. We attribute this to the wide variety of disciplines that traffic researchers come from.…”

“…Instead of the concept of guiding strategy, several studies [ 4 , 5 , 9 , 10 , 31 ] use the term controller. We find this misleading in the context of crowds because, in control theory, when one talks of controllers, one assumes a system that one can indeed fully control.…”

“…All of the following studies use computer simulations. In [ 5 ], the authors propose so-called on-off-controllers that open and close routes. They do not discuss the reaction of a crowd facing shutting routes.…”

“…Daamen [ 56 ] considers walking and waiting times, route lengths and walking comfort. Xu et al [ 5 ] suggest a model that takes the distance to the exits and their attractiveness into account. Ramos et al [ 33 ] propose logit models to investigate how travel time affects route choice.…”

Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station

“…For example, most stations (metro ones, railway ones, etc.) experience extremely high level of pedestrian density during the peak hours and often produce serious traffic problems (e.g., congestion and accident) [3][4][5], which has attracted many researchers to explore the complex traffic phenomena produced by the pedestrian flow at the traffic stations [6][7][8].…”