Transportation Research Interdisciplinary Perspectives最新文献

Unraveling interactions: Mechanisms shaping the transition of small and medium-sized ports to energy hubs

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-04-12 DOI: 10.1016/j.trip.2025.101417

Negar Safara Nosar

{"title":"Unraveling interactions: Mechanisms shaping the transition of small and medium-sized ports to energy hubs","authors":"Negar Safara Nosar","doi":"10.1016/j.trip.2025.101417","DOIUrl":"10.1016/j.trip.2025.101417","url":null,"abstract":"<div><div>Amid the ongoing climate and energy crises, ports are being urged to embrace the role of low-carbon energy-hubs (EHubs), and small- and medium-sized ports (SMPs) are no exception. While the existing literature primarily focuses on the transition of large ports to EHubs, this paper fills the gap by spotlighting the ongoing transition of two industrial Norwegian SMPs. I conceptualized the SMPs as infrasystem, that is large complex infrastructure system, and I analyzed qualitative data, namely semi-structured interviews and documents.</div><div>The findings indicate that SMPs transition are shaped by factors beyond ports’ control: technical components, physical infrastructure, and regional material elements, with the Interactions among them being particularly important. Technical interactions within the ports are driven by two mechanisms: the functional coupling, which refers to input–output relations among technical components and physical infrastructures, and (2) the structural coupling, which highlights the conjoint use of material elements. This mechanisms, theoretically, advances our understanding on how multiple systems interact through material elements. Together, these mechanisms lead to varied interactions among similar technologies across different ports, demonstrating that SMP transitions depend heavily on place-specific material contingencies due to limited capacity. The findings challenge the notion of a universal approach to EHub transitions, as effective solutions in one port may fail in another.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101417"},"PeriodicalIF":3.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating educational solutions in the field of autonomous shipping at Finnish Universities

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-04-12 DOI: 10.1016/j.trip.2025.101402

Andrei-Raoul Morariu , Anastasia Tsvetkova , Magnus Hellström , Victor Bolbot , Seppo Virtanen

{"title":"Investigating educational solutions in the field of autonomous shipping at Finnish Universities","authors":"Andrei-Raoul Morariu , Anastasia Tsvetkova , Magnus Hellström , Victor Bolbot , Seppo Virtanen","doi":"10.1016/j.trip.2025.101402","DOIUrl":"10.1016/j.trip.2025.101402","url":null,"abstract":"<div><div>The transformative impact of autonomous shipping requires a call for changes in the workforce and necessitates a shift in curricula. This study explores the state of higher education in Finland within the context of autonomous shipping and Maritime Autonomous Surface Ships (MASS). The research presented in this article is based on the collaboration among several educational institutions in the focal country and examines the landscape for MASS-related education and related pedagogical approaches and tools. Based on 19 interviews of educators in six Finnish universities, the article investigates predominant learning frameworks, pedagogical approaches and digital solutions while discussing the preparedness of the Finnish higher education system to address the emerging needs of the autonomous shipping domain. The findings of the presented research indicate that while a variety of digital solutions and hands-on activities, such as simulations and programming exercises, are employed, the lack of standardization across institutions poses challenges for collaboration and multi-disciplinary learning. These insights lead to a proposal of a pedagogical framework emphasizing experiential and challenge-based learning.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101402"},"PeriodicalIF":3.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

“I trust Norway” – Investigating acceptance of shared autonomous shuttles using open and closed questions in short-form street interviews

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-04-12 DOI: 10.1016/j.trip.2025.101414

Ole Aasvik , Marjan Hagenzieker , Pål Ulleberg

{"title":"“I trust Norway” – Investigating acceptance of shared autonomous shuttles using open and closed questions in short-form street interviews","authors":"Ole Aasvik , Marjan Hagenzieker , Pål Ulleberg","doi":"10.1016/j.trip.2025.101414","DOIUrl":"10.1016/j.trip.2025.101414","url":null,"abstract":"<div><div>Shared autonomous shuttles (SASs) could improve the mobility infrastructure in the worlds’ growing cities. This novel service could reduce congestion and improve both mobility and sustainability. To facilitate the implementation of SASs, more research is needed on the psychological aspects of sharing a small, intimate shuttle with strangers. The current study is among the first to use open-ended questions to investigate SAS acceptance. This investigation is based on the Multi-Level Model on Automated Vehicle Acceptance (MAVA). We had 236 participants answer short-form interviews including both open-ended questions and quantitative items. Quantitative data were analyzed using descriptive statistics and correlations, and qualitative data analyzed with directed content analysis. Respondents seem very positive about the proposed new transport service. We found that perceived usefulness, hedonic motivation, trust, and social influence shared large correlations with intentions to use. Other factors such as demographics, technology savviness and use of public transport did not share a linear relationship with intentions to use. Qualitative analysis suggests that, while most people do not mind sharing shuttles with strangers, some could find the social situation deterring. People seem most concerned with availability, effectiveness, travel cost and safety. The reported positive attitudes towards the service seem predicated upon trust in the government regulation and proper testing of the technology, that many think of as immature. Regulation and thorough testing may be paramount in keeping people positive. This study emphasizes the importance of trust and safety to adoption of SAS, while suggesting new factors that need further investigation.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101414"},"PeriodicalIF":3.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smart train control and monitoring system with predictive maintenance and secure communications features

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-04-10 DOI: 10.1016/j.trip.2025.101409

Alfian Akbar Gozali , Muhammad Faris Ruriawan , Andry Alamsyah , Yudha Purwanto , Ade Romadhony , Febry Pandu Wijaya , Fifin Nugroho , Dewi Nala Husna , Agri Kridanto , Anang Fakhrudin , Mu’ammar Itqon , Sri Widiyanesti

{"title":"Smart train control and monitoring system with predictive maintenance and secure communications features","authors":"Alfian Akbar Gozali , Muhammad Faris Ruriawan , Andry Alamsyah , Yudha Purwanto , Ade Romadhony , Febry Pandu Wijaya , Fifin Nugroho , Dewi Nala Husna , Agri Kridanto , Anang Fakhrudin , Mu’ammar Itqon , Sri Widiyanesti","doi":"10.1016/j.trip.2025.101409","DOIUrl":"10.1016/j.trip.2025.101409","url":null,"abstract":"<div><div>Predictive maintenance is a proactive and data-driven approach to service maintenance that aims to identify potential problems before they occur. Modern trains have a sophisticated train control and monitoring system (TCMS), a vehicle processing unit to deliver train status conditions. On top of the proprietary TCMS system, the authors designed an intelligent TCMS fitted with two main functions. First, the data analytics features predict the product age and deliver real-time notifications. Second, a robust infrastructure for mobile conditions with data security protection exists. Thus, the authors named the solution as Smart TCMS. This research has designed a user-friendly dashboard to facilitate real-time condition monitoring and timely notification of any detected problems, focusing on different level component severity problems: air conditioning (low severity), battery (medium severity), and traction system components (high severity). This solution has been implemented on an electric diesel train, an Indonesian Rolling Stock Industry (INKA) product.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101409"},"PeriodicalIF":3.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Questioning streets. On plural origins, plural uses, and plural futures 质疑街道。关于复数起源、复数使用和复数未来

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-04-08 DOI: 10.1016/j.trip.2025.101403

Kim Carlotta von Schönfeld

引用次数: 0

Modeling the number of tourist arrivals in the United States employing deep learning networks

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-04-07 DOI: 10.1016/j.trip.2025.101407

Cagatay Tuncsiper

{"title":"Modeling the number of tourist arrivals in the United States employing deep learning networks","authors":"Cagatay Tuncsiper","doi":"10.1016/j.trip.2025.101407","DOIUrl":"10.1016/j.trip.2025.101407","url":null,"abstract":"<div><div>Tourism plays a vital role in the U.S. economy by generating billions of dollars in revenue annually, supporting millions of jobs across various sectors such as hospitality, transportation, and entertainment. It also fosters cultural exchange and economic growth in local communities, attracting both domestic and international visitors. Considering this importance, the number of tourist arrivals in the U.S. are modeled in this study employing deep learning networks. The number of tourist arrivals in the U.S. data for the last ten years is taken from the Office of Travel and Tourism Industries and then a deep learning artificial neural network is developed in Python programming language for modeling this data. The developed deep learning network is optimized considering the accuracy of the model. Then, the deep learning network is trained using the 70% of the available data while the remaining 30% is considered as the test data. The result of the deep learning network and the actual number of tourist arrivals data are plotted together which indicate high accuracy. In order to quantify the performance of the developed model, the performance metrics namely coefficient of determination, mean absolute error, mean absolute percentage error and the root mean square error are computed. The coefficient of determination of the developed model is found to be over 0.95 indicating the high accuracy of the model. The developed model is considered as a valuable tool for the assessment of the number of tourist arrivals in the U.S. for the planning and optimizing efforts in the hospitality sector.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101407"},"PeriodicalIF":3.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Should we blame COVID-19 for the decline in transit ridership, or was it merely a stimulant? 我们是否应该将公交乘客减少的原因归咎于 COVID-19，或者它只是一剂兴奋剂？

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-04-05 DOI: 10.1016/j.trip.2025.101397

Helia Mohammadi-Mavi, Mustafa Fardin, Andisheh Ranjbari

{"title":"Should we blame COVID-19 for the decline in transit ridership, or was it merely a stimulant?","authors":"Helia Mohammadi-Mavi, Mustafa Fardin, Andisheh Ranjbari","doi":"10.1016/j.trip.2025.101397","DOIUrl":"10.1016/j.trip.2025.101397","url":null,"abstract":"<div><div>Public transit ridership significantly declined during the COVID-19 pandemic and has not yet rebounded, even though the virus substantially subsided and people have mostly returned to their normal lives. This suggests that there are reasons for this drop that go beyond health concerns and work-from-home arrangements. Focusing on pre-pandemic transit users, this study aims at understanding the most influential behavioral and attitudinal reasons for the transit ridership decline. Exploiting a survey dataset from the U.S. Pacific Northwest region, we performed two analyses: structural equation modeling, and user clustering (based on attitudes) combined with statistical tests. The core of both analyses was people’s attitudes/perceptions toward three matters: sharing rides with strangers, doing activities online vs. in person, and pandemic health risks. The results showed that while those three all play a role in post-pandemic reduced transit use frequency, the reluctance to share rides is the only direct and significant factor and that its magnitude is three times larger than the health concerns/fears associated with the pandemic. The latter was found to have rather an indirect effect on reducing transit ridership, through its impact on both ridesharing reluctance and online activities preference. This implies that focusing solely on safety and protective measures will not restore transit ridership to its pre-pandemic levels. Investments may be directed toward improving rider security and comfort and offering discounts or reduced fares. Moreover, given the extended work-from-home activities, it is recommended that transit agencies shift their focus in route planning and service marketing from work trips to other trip purposes.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101397"},"PeriodicalIF":3.9,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of trends and patterns in transportation journals from 2000 to 2024

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-04-03 DOI: 10.1016/j.trip.2025.101406

Sebastian Wandelt, Changhong Zheng, Xiaoqian Sun

引用次数: 0

Using mobile devices while driving and lying about it: How do drivers who lie about using mobile devices while driving think differently about what they are doing?

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-03-29 DOI: 10.1016/j.trip.2025.101401

Ivars Austers, Inese Muzikante, Ronalds Cinks

{"title":"Using mobile devices while driving and lying about it: How do drivers who lie about using mobile devices while driving think differently about what they are doing?","authors":"Ivars Austers, Inese Muzikante, Ronalds Cinks","doi":"10.1016/j.trip.2025.101401","DOIUrl":"10.1016/j.trip.2025.101401","url":null,"abstract":"<div><div>The aim of the study was to observe mobile device usage by car drivers in real-world conditions and compare these observations with the drivers’ self-reports to verify their accuracy. Observational data were combined with a brief survey about drivers’ recent behaviour and their subjective evaluations of the dangers associated with using mobile devices while driving. Among all observed drivers, 6% lied about their mobile device usage (which is 10% of those who were seen using mobile devices). Drivers who truthfully reported their mobile device usage rated the risks associated with such behavior as lower compared to those who either did not use devices or lied about their usage. Additionally, drivers who were honest about their mobile device usage while driving believed that other drivers used mobile devices less frequently than they did. In contrast, those who either did not use devices or lied about their usage tended to believe that other drivers used mobile devices more frequently than they did.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101401"},"PeriodicalIF":3.9,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From autonomy to community: Advancing the role of psychological factors in sustainable mobility decisions

IF 3.9

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-03-29 DOI: 10.1016/j.trip.2025.101394

Pooja Rao, Mohammed Quddus, Washington Y. Ochieng

{"title":"From autonomy to community: Advancing the role of psychological factors in sustainable mobility decisions","authors":"Pooja Rao, Mohammed Quddus, Washington Y. Ochieng","doi":"10.1016/j.trip.2025.101394","DOIUrl":"10.1016/j.trip.2025.101394","url":null,"abstract":"<div><div>This study investigates the socio-behavioral and psychological determinants influencing the adoption of Shared Automated Electric Vehicles (SAEVs) in urban environments, using London as a case study. The research addresses a critical gap in the literature by exploring how a sense of belonging (SoB) impacts transportation mode choices, alongside traditional sociodemographic factors. Employing an Integrated Choice Latent Variable Model (ICLVM), the study merges Structural Equation Modeling (SEM) and Multinomial Logit (MNL) approaches to analyze data from a Stated Preference Discrete Choice Experiment involving 557 London residents. Results indicate that SoB significantly influences SAEV adoption, suggesting that fostering community engagement could promote sustainable mobility. Furthermore, Ridesharing experience emerges as a key predictor, facilitating openness to SAEVs and bridging the gap between private vehicle reliance and shared mobility acceptance. However, the analysis also highlights challenges, including a persistent preference for private vehicles among licensed drivers, and the model’s mixed predictive performance for SAEVs. Policy implications underscore the need for community-based strategies and ridesharing integration to enhance SAEV uptake. The study concludes that a holistic approach, incorporating both technological advancements and psychological factors, is vital for developing socially inclusive and environmentally sustainable urban transport systems.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101394"},"PeriodicalIF":3.9,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0