scholarly journals Study of the Bus Dynamic Coscheduling Optimization Method under Urban Rail Transit Line Emergency

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yun Wang ◽  
Xuedong Yan ◽  
Yu Zhou ◽  
Jiaxi Wang ◽  
Shasha Chen
Keyword(s):  
Urban Areas ◽  
Solution Process ◽  
Optimization Method ◽  
Emergency Evacuation ◽  
Negative Influence ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Evacuation Time ◽  
Passenger Safety ◽  
Urban Rail

As one of the most important urban commuter transportation modes, urban rail transit (URT) has been acting as a key solution for supporting mobility needs in high-density urban areas. However, in recent years, high frequency of unexpected events has caused serious service disruptions in URT system, greatly harming passenger safety and resulting in severe traffic delays. Therefore, there is an urgent need to study emergency evacuation problem in URT. In this paper, a method of bus dynamic coscheduling is proposed and two models are built based on different evacuation destinations including URT stations and surrounding bus parking spots. A dynamic coscheduling scheme for buses can be obtained by the models. In the model solution process, a new concept—the equivalent parking spot—is proposed to transform the nonlinear model into an integer linear programming (ILP) problem. A case study is conducted to verify the feasibility of models. Also, sensitivity analysis of two vital factors is carried out to analyze their effects on the total evacuation time. The results reveal that the designed capacity of buses has a negative influence on the total evacuation time, while an increase in the number of passengers has a positive effect. Finally, some significant optimizing strategies are proposed.

scholarly journals A Feeder-Bus Dispatch Planning Model for Emergency Evacuation in Urban Rail Transit Corridors

PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0161644 ◽  
Author(s):  
Yun Wang ◽  
Xuedong Yan ◽  
Yu Zhou ◽  
Wenyi Zhang
Keyword(s):  
Emergency Evacuation ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Planning Model ◽  
Urban Rail ◽  
Feeder Bus

Evacuation Time of the Facilities in Rail Transit Study and Simulation

2013 ◽  
Vol 409-410 ◽  
pp. 1137-1140 ◽  
Author(s):  
Zhi Juan Li
Keyword(s):  
Time Variation ◽  
Simulation Software ◽  
Urban Rail Transit ◽  
Subway Station ◽  
Rail Transit ◽  
Evacuation Time ◽  
Urban Rail ◽  
Calculation Results ◽  
Simulation Results ◽  
Transit Study

Urban rail transit is one of the important transportation means. Passenger evacuation capacity of subway station is importance for rail operation safety. This article studied the time variation about different numbers of evacuated people under the different stairs width. And it forced on the variation of the evacuation time under different stair widths. By considering the mutual repulsion between pedestrian and wall, and among pedestrians, the article used the anylogic simulation software to simulate and got the evacuation time under different stair-width. When down-stair width is beyond by 3.5m, down-stair-width increasing is unobvious to shorten the evacuation time. Finally, the article explains differences between two results by comparing analysis of simulation results and calculation results.

scholarly journals Spatial–Temporal Features of Coordination Relationship between Regional Urbanization and Rail Transit—A Case Study of Beijing

2021 ◽  
Vol 19 (1) ◽  
pp. 212
Author(s):  
Xuanxuan Xia ◽  
Hongchang Li ◽  
Xujuan Kuang ◽  
Jack Strauss
Keyword(s):  
Urban Area ◽  
Spatial Correlation ◽  
Urban Areas ◽  
Central City ◽  
Indicator System ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail ◽  
Degree Of Coupling ◽  
Coordination Degree

Urban rail transit is an important transportation infrastructure that mitigates the congestion of the central city and realizes compact city space development. However, the literature on the spatiotemporal coupling of urbanization and rail transit from the urban scale and its influencing factors is still uncommon. Taking Beijing as an example, based on the theory of coupling coordination, we have constructed a comprehensive indicator system for regional urbanization (hereafter RU) (including population, economy, and spatial urbanization) and rail transit (hereafter RT). On this basis, we use the entropy method, coupling coordination degree model, and spatial autocorrelation analysis method to explore the spatiotemporal characteristics of the overall and pairwise coupling coordination between population, economy, spatial urbanization, and rail transit. Finally, we analyze the spatial correlation and standard deviational ellipse analysis of the coupling coordination degree between RU and RT. The results indicate the following: (1) In addition to population urbanization, the other urbanization indicators and the RT level all show a downward–rising–falling trend from 2006 to 2017, among which the level of economic urbanization is the highest. The degree of coupling coordination between RU and RT is unbalanced development and shows a trend of first rising and then falling. (2) The degree of coupling coordination between RU and RT presents an imbalanced distribution in various regions, and the coupling coordination degree in the central urban areas is significantly higher than that in the outer suburbs. (3) From 2006 to 2017, the spatial correlation of the coupling coordination degree between the various systems has a similar changing trend. Moreover, the distribution of the spatial agglomeration points of the coupling coordination degree between RU and the RT is similar, showing a decreasing trend from the central urban area to the surrounding urban area. Therefore, relevant departments can rationally plan the construction of urban rail transit according to the coordination relationship between RU and RT and the spatial aggregation degree to realize the benign and sustainable development between urban especially suburbanization and rail transit.

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