Using Bluetooth to Estimate the Impact of Congestion on Pedestrian Route Choice at Train Stations

被引:12
|
作者
van den Heuvel, Jeroen [1 ]
Voskamp, Aral [1 ]
Daamen, Winnie [1 ]
Hoogendoorn, Serge P. [1 ]
机构
[1] Delft Univ Technol, Dept Transport & Planning, Fac Civil Engn & Geosci, NS Stn,Netherlands Railways, Delft, Netherlands
关键词
D O I
10.1007/978-3-319-10629-8_9
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
At train stations escalators and stairs are common bottlenecks, typically just after train arrivals which cause a peak in pedestrian traffic from platform to station hall. Large stations typically have multiple sets of escalators and stairs, and therefore offer a route choice for passengers. In previous research the impact of waiting time and type of vertical infrastructure on pedestrian route choice behaviour have been identified, and to a limited extent quantified. This paper presents the results of a study of route choice behavior at congested stairs and escalators at Utrecht Central Station in The Netherlands. For data collection, Bluetooth scanunits have been used to measure route choice and waiting time at stairs and escalators. Several route choice models have been estimated to describe the probability of choosing a congested escalator route over alternative uncongested stairway routes. It is found that the preference of escalators over stairways is statistically significant for pedestrian route choice. Moreover, waiting time due to congestion upstream of escalators has a measurable impact on pedestrian route choice. These insights are valuable when improving design and operations of train stations.
引用
收藏
页码:73 / 82
页数:10
相关论文
共 19 条
  • [1] Pedestrian Route Choice of Vertical Facilities in Subway Stations
    Srikukenthiran, Siva
    Fisher, Daniel
    Shalaby, Amer
    King, David
    TRANSPORTATION RESEARCH RECORD, 2013, (2351) : 115 - 123
  • [2] Studying the impact of lighting on the pedestrian route choice using Virtual Reality
    van Beek, Arco
    Feng, Yan
    Duives, Dorine C.
    Hoogendoorn, Serge P.
    SAFETY SCIENCE, 2024, 174
  • [3] Using Predicted Bicyclist and Pedestrian Route Choice to Enhance Mode Choice Models
    Broach, Joseph
    Dill, Jennifer
    TRANSPORTATION RESEARCH RECORD, 2016, (2564) : 52 - 59
  • [4] Route choice in pedestrian evacuation: formulated using a potential field
    Guo, Ren-Yong
    Huang, Hai-Jun
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2011,
  • [5] Using Machine Learning to Estimate Pedestrian and Bicyclist Count of Intersection by Bluetooth Low Energy
    Gong, Yaobang
    Abdel-Aty, Mohamed
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2022, 148 (01)
  • [6] Link-based measurement model to estimate route choice parameters in urban pedestrian networks
    Oyama, Yuki
    Hato, Eiji
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 93 : 62 - 78
  • [7] Monitoring the performance of the pedestrian transfer function of train stations using automatic fare collection data
    van den Heuvel, J. P. A.
    Hoogenraad, J. H.
    CONFERENCE ON PEDESTRIAN AND EVACUATION DYNAMICS 2014 (PED 2014), 2014, 2 : 642 - 650
  • [8] Estimating a Toronto pedestrian route choice model using smartphone GPS data
    Lue, Gregory
    Miller, Eric J.
    TRAVEL BEHAVIOUR AND SOCIETY, 2019, 14 : 34 - 42
  • [9] Analysing the impact of COVID-19 risk perceptions on route choice behaviour in train networks
    Shelat, Sanmay
    van de Wiel, Thijs
    Molin, Eric
    van Lint, J. W. C.
    Cats, Oded
    PLOS ONE, 2022, 17 (03):
  • [10] The impact of the street-scale built environment on pedestrian metro station access/egress route choice
    Liu, Yanan
    Yang, Dujuan
    Timmermans, Harry J. P.
    de Vries, Bauke
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2020, 87