Development of a framework for assessing train passengers' post-boarding behaviours based on their perceptions

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Intelligent Transport Systems Pub Date : 2024-07-31 DOI:10.1049/itr2.12546
Jie Yang, Nirajan Shiwakoti, Richard Tay
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Abstract

While existing literature has focused on modelling pedestrian movement on platforms, there is a lack of understanding of passengers' perceptions, motivations, and influential factors that shape their on-board behaviours and choices. This study developed a conceptual framework to assess passengers' post-boarding behaviours and perceptions, specifically focusing on their actions and choices inside the train carriages. The conceptual framework was tested through survey data of 429 passengers in Melbourne, Australia. The result shows that door access is the most influential factor when passengers choose where to stand or sit on board, followed by comfort, safety, privacy, and random factors. Furthermore, the study explores the relationship between the post-boarding behaviour variables and travellers’ personal and trip characteristic variables. The analysis shows that carrying large items has a more significant effect on many post-boarding behaviour variables. Gender, age group, travel frequency, waiting time, and carrying small items also play significant roles. However, variables such as travel time and frequency of group travel have lesser effects. These novel findings offer valuable insights, laying the groundwork for future modelling activities. Moreover, the understanding derived from passenger perceptions can guide transport agencies and operators in shaping strategies to improve onboard services.

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根据乘客的感知制定评估火车乘客上车后行为的框架
现有文献主要关注月台上的行人活动建模,但对乘客的认知、动机以及影响其上车行为和选择的因素缺乏了解。本研究建立了一个概念框架,以评估乘客上车后的行为和感知,特别是他们在列车车厢内的行为和选择。该概念框架通过对澳大利亚墨尔本 429 名乘客的调查数据进行了检验。结果显示,当乘客选择在车厢内站或坐时,车门通道是最有影响力的因素,其次是舒适度、安全性、隐私性和随机因素。此外,研究还探讨了登机后行为变量与旅客个人和行程特征变量之间的关系。分析表明,携带大件物品对许多登机后行为变量的影响更为显著。性别、年龄组、旅行频率、等待时间和携带小件物品也有显著影响。然而,旅行时间和团体旅行频率等变量的影响较小。这些新发现提供了宝贵的见解,为今后的建模活动奠定了基础。此外,从乘客感知中得出的认识还能指导交通机构和运营商制定战略,以改善机上服务。
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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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