Defining and measuring service availability for complex transportation networks

被引:3
|
作者
Elms, CP [1 ]
机构
[1] Lea & Elliott Inc, Chantilly, VA USA
关键词
D O I
10.1002/atr.5670320108
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Service Availability of a transportation system is a measure of a performance that has been generally defined according to the reliability and maintainability terms of mean-time-before-failure and mean-time to-restore, as borrowed from the aerospace/defense industry. While such definitions correctly describe the availability of a system and its equipment to function they do not directly measure the percent of designed and scheduled service available for passenger use. For the more complex transportation systems having multiple tracks and routes, fleets of vehicles, more than two stations and more than one mode of service there are needs for definitions that account for isolated failures that partially interrupt or delay service. Successful definitions of service availability have been based on data that is easily and directly entered in the operating log or automatically collected by Automatic Train Supervision (ATS) system and reports generated by software. The following paper first defines measures of service availability in current use and analyzes exact and approximation methods for data collection and computation. Second, the paper postulates and explores classical and new definitions of service availability applicable for complex networks such as Personal Rapid Transit(PRT). Insight is provided for choosing a suitable definition based on the type of transportation network.
引用
收藏
页码:75 / 88
页数:14
相关论文
共 50 条
  • [41] Measuring and Improving the Performance of Health Service Networks
    Hammerschmidt, Maik
    Falk, Tomas
    Staat, Matthias
    JOURNAL OF SERVICE RESEARCH, 2012, 15 (03) : 343 - 357
  • [42] Measuring service in multi-class networks
    Kuzmanovic, A
    Knightly, EW
    IEEE INFOCOM 2001: THE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-3, PROCEEDINGS: TWENTY YEARS INTO THE COMMUNICATIONS ODYSSEY, 2001, : 1281 - 1289
  • [43] A framework for measuring carbon emissions for inbound transportation and distribution networks
    Lagoudis, Ioannis N.
    Shakri, Aamil Raza
    RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2015, 17 : 53 - 64
  • [44] Measuring Robustness and Coverage of Transportation Networks with Multiple Routes and Hubs
    Auerbach, Jeremy
    Kim, Hyun
    ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS, 2022, 112 (06) : 1741 - 1760
  • [45] Measuring Robustness and Coverage of Transportation Networks with Multiple Routes and Hubs
    Auerbach, Jeremy
    Kim, Hyun
    JOURNAL OF PLANNING LITERATURE, 2023, 38 (04) : 640 - 640
  • [46] Applying fuzzy set theory to measuring air transportation service quality
    Hsu, TH
    JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 2864 - 2869
  • [47] Defining least community as a homogeneous group in complex networks
    Jiang, Bin
    Ma, Ding
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 428 : 154 - 160
  • [48] Service ranking in service networks using parameters in complex networks: a comparative study
    Shiyuan Zhou
    Yinglin Wang
    Cluster Computing, 2019, 22 : 2921 - 2930
  • [49] Service ranking in service networks using parameters in complex networks: a comparative study
    Zhou, Shiyuan
    Wang, Yinglin
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (02): : S2921 - S2930
  • [50] Service Placement in Complex Active Networks
    Ibn-Khedher, Hatem
    Afifi, Hossam
    Kamal, Ahmed E.
    2017 26TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND NETWORKS (ICCCN 2017), 2017,