Evaluation of an existing bus network using a transit network optimisation model: a case study of the Hiroshima City Bus network

被引:21
|
作者
Shimamoto, Hiroshi [1 ]
Murayama, Naoki [2 ]
Fujiwara, Akimasa [3 ]
Zhang, Junyi [3 ]
机构
[1] Kyoto Univ, Grad Sch Engn, Dept Urban Management, Nishikyo Ku, Kyoto 6158540, Japan
[2] Oriental Consultants Co Ltd, Shibuya Ku, Tokyo 1510071, Japan
[3] Hiroshima Univ, Grad Sch Int Dev & Cooperat, Higashihiroshima 7398529, Japan
基金
日本学术振兴会;
关键词
Bi-level optimisation formulation; Existing bus network; Numbered ticket-based travel demand data; Transit assignment model; Transit network configuration; Frequency design; ALGORITHM;
D O I
10.1007/s11116-010-9297-6
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study evaluates an existing bus network from the perspectives of passengers, operators, and overall system efficiency using the output of a previously developed transportation network optimisation model. This model is formulated as a bi-level optimisation problem with a transit assignment model as the lower problem. The upper problem is also formulated as bi-level optimisation problem to minimise costs for both passengers and operators, making it possible to evaluate the effects of reducing operator cost against passenger cost. A case study based on demand data for Hiroshima City confirms that the current bus network is close to the Pareto front, if the total costs to both passengers and operators are adopted as objective functions. However, the sensitivity analysis with regard to the OD pattern fluctuation indicates that passenger and operator costs in the current network are not always close to the Pareto front. Finally, the results suggests that, regardless of OD pattern fluctuation, reducing operator costs will increase passenger cost and increase inequity in service levels among passengers.
引用
收藏
页码:801 / 823
页数:23
相关论文
共 50 条
  • [41] Station optimization in local transfer network of rail transit and bus
    Liu, Huasheng (liuhuasheng521@163.com), 1600, Harbin Institute of Technology (46):
  • [42] Allocation of the inductive charging system for bus rapid transit network
    Asaolu, Adedayo
    Galloway, Stuart
    Edmunds, Claum
    2020 IEEE INTERNATIONAL SMART CITIES CONFERENCE (ISC2), 2020,
  • [43] An Efficient Algorithm for Reliability Evaluation of the Bus Network
    Li, Fei
    Liu, Wenyi
    IEEE ACCESS, 2022, 10 : 121772 - 121783
  • [44] Bus Network Architecture- and Technology Optimisation for Avionic Systems
    Halle, Martin
    Thielecke, Frank
    2020 AIAA/IEEE 39TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC) PROCEEDINGS, 2020,
  • [45] Spectral analysis for performance evaluation in a bus network
    Nait-Sidi-Moh, A.
    Manier, M. -A.
    El Moudni, A.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 193 (01) : 289 - 302
  • [46] An Improved Ant Colony Algorithm for Urban Bus Network Optimization Based on Existing Bus Routes
    Wei, Yuanyuan
    Jiang, Nan
    Li, Ziwei
    Zheng, Dongdong
    Chen, Minjie
    Zhang, Miaomiao
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 11 (05)
  • [47] Bus-arrival time prediction using bus network data model and time periods
    Celan, Marko
    Lep, Marjan
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 110 : 364 - 371
  • [48] Bus Frequency Optimization By Avoid Bus Bunching using Wireless Network
    Prasad, Rajendra P.
    Arora, Ravi
    Ambika, K.
    Sushma, M.
    Supriya, R.
    Gayithri, G.
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2017, : 2052 - 2056
  • [49] GENERIC BUS ROUTE SIMULATION MODEL AND ITS APPLICATION TO A NEW BUS NETWORK DEVELOPMENT FOR CAIEIRAS CITY, BRAZIL
    Pereira, Wilson Inacio
    Chwif, Leonardo
    2018 WINTER SIMULATION CONFERENCE (WSC), 2018, : 123 - 134
  • [50] TRANSPORTATION NETWORK STABILITY: A CASE STUDY OF CITY TRANSIT
    Berche, Bertrand
    Von Ferber, Christian
    Holovatch, Taras
    Holovatch, Yurij
    ADVANCES IN COMPLEX SYSTEMS, 2012, 15