The passenger's influence on dwell times at station platforms: a literature review

被引:20
|
作者
Kuipers, Ruben A. [1 ,2 ]
Palmqvist, Carl-William [1 ,2 ]
Olsson, Nils O. E. [3 ]
Winslott Hiselius, Lena [1 ,2 ]
机构
[1] Lund Univ, Dept Technol & Soc, Lund, Sweden
[2] K2 Swedish Knowledge Ctr Publ Transport, Lund, Sweden
[3] Norwegian Univ Sci & Technol, Dept Mech & Ind Engn, Trondheim, Norway
关键词
Dwell time; passenger; behaviour; boarding; alighting; distribution;
D O I
10.1080/01441647.2021.1887960
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Dwell time delays, although small in nature, can accumulate to a large delay over the entire journey of a train. It is, however, difficult to precisely know the amount of time which is required at stations due to the inherent variance in human behaviour. Furthermore, planning practices do not seem to capture the dynamic nature of the dwell time process. The current literature review focusses on the influence that passengers have on the length and variance of dwell times at stations. More specifically, this study focusses on the underlying causes for the distribution of passengers along a platform while waiting for the train to arrive at the station and their behaviour during the boarding and alighting process. As part of this review, two databases were systematically searched, and backwards snowballing techniques were applied. To ensure the quality of the included literature, a systematic quality appraisal was carried out. The findings show that measures related to platform management and changes to train operations have the potential to play a substantial role in reducing the variance in dwell times, as well as improvements in the provision of information to travellers. Such measures also allow for a more solution-oriented approach. However, the actual benefits of such measures need further studying. The findings also show that the distribution of passengers and the behaviour of passengers during the boarding and alighting process are connected and should thus be addressed as a whole rather than separate aspects. The majority of the studies included in this review did, however, not focus on both elements in conjunction. There is thus a need for future studies into the effect of platform management measures where efforts must be made to better understand the impact of measures on both the behaviour and distribution of passengers.
引用
收藏
页码:721 / 741
页数:21
相关论文
共 50 条
  • [11] PKIKP TIMES AND S STATION ANOMALIES
    CLEARY, JR
    HALES, AL
    JOURNAL OF GEOPHYSICAL RESEARCH, 1971, 76 (29): : 7249 - &
  • [12] Case Study: Influence of Stochastic Dwell Times on Railway Traffic Simulations
    Becker, Merlin
    Schreckenberg, Michael
    2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, : 1227 - 1233
  • [13] Drones for parcel and passenger transportation: A literature review☆
    Kellermann, Robin
    Biehle, Tobias
    Fischer, Liliann
    TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2020, 4
  • [14] Passenger Perspectives in Railway Timetabling: A Literature Review
    Parbo, Jens
    Nielsen, Otto Anker
    Prato, Carlo Giacomo
    TRANSPORT REVIEWS, 2016, 36 (04) : 500 - 526
  • [15] Methods for quantitative assessment of passenger flow influence on train dwell time in dense traffic areas
    Cornet, Selim
    Buisson, Christine
    Ramond, Francois
    Bouvarel, Paul
    Rodriguez, Joaquin
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 106 : 345 - 359
  • [16] Dynamic train dwell time forecasting: a hybrid approach to address the influence of passenger flow fluctuations
    Pang, Zishuai
    Wang, Liwen
    Wang, Shengjie
    Li, Li
    Peng, Qiyuan
    RAILWAY ENGINEERING SCIENCE, 2023, 31 (04) : 351 - 369
  • [17] Dynamic train dwell time forecasting:a hybrid approach to address the influence of passenger flow fluctuations
    Zishuai Pang
    Liwen Wang
    Shengjie Wang
    Li Li
    Qiyuan Peng
    Railway Engineering Science, 2023, 31 (04) : 351 - 369
  • [18] Dynamic train dwell time forecasting:a hybrid approach to address the influence of passenger flow fluctuations
    Zishuai Pang
    Liwen Wang
    Shengjie Wang
    Li Li
    Qiyuan Peng
    Railway Engineering Science, 2023, (04) : 351 - 369
  • [19] Dynamic train dwell time forecasting: a hybrid approach to address the influence of passenger flow fluctuations
    Zishuai Pang
    Liwen Wang
    Shengjie Wang
    Li Li
    Qiyuan Peng
    Railway Engineering Science, 2023, 31 : 351 - 369
  • [20] Circular Construction Platforms: A Systematic Literature Review
    Thuesen, Christian
    Lindtofte, Claes Seehausen
    Fuhrer, Sophie
    Barfoed, Alexander Olin
    Rohdin, Thor Biering
    Raja, Janak
    SDGS IN CONSTRUCTION ECONOMICS AND ORGANIZATION, CREON 2022, 2023, : 91 - 104