Research on Optimization of Feeder Bus Network Joint for Urban Rail Transit

2013 ◽  
Vol 869-870 ◽  
pp. 256-259
Author(s):  
Ping Hong Wei ◽  
Jie Xiong ◽  
Meng Hao Zhang
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Design Problem ◽  
Urban Rail Transit ◽  
Network Design Problem ◽  
Rail Transit ◽  
Urban Rail ◽  
Feeder Bus ◽  
Bus Network

The feeder bus network design problem is researched in this paper, aiming at connecting with the urban rail transit as well as possible. In solving the problem, a set of process in locating feeder bus routes is presented first, and then an optimization model of determining feeder bus network is established. The genetic algorithm (GA) is used in solving the problem and it is implemented in VC++ language. Finally, a case study is presented based on the existing rail transit line 3 in Dalian, with optimized the feeder bus routes obtained. The result also shows that the model and the algorithm are feasible in solving the problem.

scholarly journals Improved Huff Model for Estimating Urban Rail Transit Station Catchment Areas considering Station Choices

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhenjun Zhu ◽  
Yudong He ◽  
Xiucheng Guo ◽  
Yibang Zhang ◽  
Junlan Chen
Keyword(s):  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Oriented Development ◽  
Urban Rail ◽  
Catchment Areas ◽  
Feeder Bus ◽  
Transit Station ◽  
Bus Services ◽  
Additive Form

Estimating urban rail transit station catchment areas is of great significance to deepening our understanding of Transit-Oriented Development in Chinese megacities. This study investigated station choices of residents and considered that residents may not only pay attention to the proximity to stations when the URT system develops into a relatively mature network. An improved Huff model was proposed to calculate the probability of residents’ station choice, which considered the station attractiveness. The station attractiveness is measured by three variables: walk score, public transport accessibility level, and service and facility index. The additive form based on multicriteria decision is adopted to incorporate experts’ opinions on the importance of three variables. In this study, extended catchment areas that can be accessed by cycling and feeder bus services are adopted to replace the conventional pedestrian-oriented catchment areas. A case study of Xi’an, China, was used to validate the applicability of the proposed methodology. The results revealed that the methodology effectively solved the problem. The findings could be used as a reference and provide technical support to policymakers and city planners with regard to the transport facilities configuration for URT station catchment areas, which contributes to facilitating transit-oriented development.

The Feeder-bus Network-design Problem

1989 ◽  
Vol 40 (8) ◽  
pp. 751-767 ◽  
Author(s):  
Geok Koon Kuah ◽  
Jossef Perl
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Network Design Problem ◽  
Feeder Bus ◽  
Bus Network

scholarly journals Assessing Protection Strategies for Urban Rail Transit Systems: A Case-Study on the Central London Underground

2019 ◽  
Vol 11 (22) ◽  
pp. 6322 ◽  
Author(s):  
Annunziata Esposito Amideo ◽  
Stefano Starita ◽  
Maria Paola Scaparra
Keyword(s):  
Path Length ◽  
Integrated Approach ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Sequential Approach ◽  
Transit Systems ◽  
Urban Rail ◽  
London Underground ◽  
Protection Strategies

Urban rail transit systems are highly prone to disruptions of various nature (e.g., accidental, environmental, man-made). Railway networks are deemed as critical infrastructures given that a service interruption can prompt adverse consequences on entire communities and lead to potential far-reaching effects. Hence, the identification of optimal strategies to mitigate the negative impact of disruptive events is paramount to increase railway systems’ resilience. In this paper, we investigate several protection strategies deriving from the application of either single asset vulnerability metrics or systemic optimization models. The contribution of this paper is threefold. Firstly, a single asset metric combining connectivity, path length and flow is defined, namely the Weighted Node Importance Evaluation Index (WI). Secondly, a novel bi-level multi-criteria optimisation model, called the Railway Fortification Problem (RFP), is introduced. RFP identifies protection strategies based on stations connectivity, path length, or travel demand, considered as either individual or combined objectives. Finally, two different protection strategy approaches are applied to a Central London Underground case study: a sequential approach based on single-asset metrics and an integrated approach based on RFP. Results indicate that the integrated approach outperforms the sequential approach and identifies more robust protection plans with respect to different vulnerability criteria.

scholarly journals Vulnerability Assessments of Urban Rail Transit Networks Based on Redundant Recovery

2020 ◽  
Vol 12 (14) ◽  
pp. 5756
Author(s):  
Jianhua Zhang ◽  
Ziqi Wang ◽  
Shuliang Wang ◽  
Shengyang Luan ◽  
Wenchao Shao
Keyword(s):  
Construction Cost ◽  
Urban Rail Transit ◽  
Strength Parameter ◽  
Rail Transit ◽  
System Failures ◽  
Transit Networks ◽  
Vulnerability Assessments ◽  
Urban Rail ◽  
Recovery Scheme

Urban rail transit has received much attention in the last two decades, and a significant number of cities have established urban rail transit networks (URTNs). Although URTNs have brought enormous convenience to the daily life of citizens, system failures still frequently occur, therefore the vulnerability of URTNs must be a concern. In this paper, we propose a novel measurement called the node strength parameter to assess the importance of nodes and present a redundant recovery scheme to imitate the system recovery of URTNs subjected to failures. Employing three malicious attacks and taking the Nanjing subway network as the case study, we investigated the network vulnerability under scenarios of different simulated attacks. The results illustrate that passenger in-flow shows the negligible impact on the vulnerability of the node, while out-flow plays a considerable role in the largest strength node-based attack. Further, we find that vulnerability will decrease as passenger out-flow increases, and the vulnerability characteristics are the same with the increase in the construction cost of URTNs. Considering different attack scenarios, the results indicate that the highest betweenness node-based attack will cause the most damage to the system, and increasing the construction cost can improve the robustness of URTNs.

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