Transportation Research Interdisciplinary Perspectives最新文献_第3页

Open-loop payment preferences in public transit: Exploring alternatives to cash for unbanked riders 公共交通的开环支付偏好：为无银行账户的乘客探索现金的替代方案

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-24 DOI: 10.1016/j.trip.2025.101652

Susan Pike

{"title":"Open-loop payment preferences in public transit: Exploring alternatives to cash for unbanked riders","authors":"Susan Pike","doi":"10.1016/j.trip.2025.101652","DOIUrl":"10.1016/j.trip.2025.101652","url":null,"abstract":"<div><div>Transit providers in the US and abroad are adopting open-loop payments; these systems accept credit and debit cards as well as other digital forms of payment at boarding or fare gates and do not require an agency-specific card or app. Fares are paid directly from a traveler’s existing account or card. Though these systems offer improved convenience and efficiencies, they might not be accessible to those who do not have credit or debit cards, or traditional bank accounts, i.e., the unbanked. At the same time, those who are unbanked are more likely to be lower income and of racial minorities. Similarly, these groups have higher proportions of transit-reliant individuals and households. This paper investigates the factors contributing to payment preferences of transit travelers when considering an open-loop payments system. In particular, the role of being unbanked in preferences for alternatives to cash. Using intercept survey data collected from approximately 200 individuals in Northern California, this study evaluates the payment preferences of transit users, paying particular attention to how being unbanked factors into preferences related to using various means of payment for public transit – at boarding. The results presented here suggest that being unbanked impacts the payment preferences of individuals, but familiarity, measured by past use, with different payment tools is also an important predictor. As more agencies adopt open-loop payments, recognizing the preferences and the abilities of unbanked travelers will help ensure that new systems are accessible to all travelers, even those with fewer financial tools.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101652"},"PeriodicalIF":3.8,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159588","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 take the risk, yet they do it more often: Two studies of representative samples of better-than-average effect in explaining the perceived risk-taking near railway crossings 我承担风险，但他们更经常这样做：两项代表性样本的研究在解释铁路道口附近的感知风险方面的效果优于平均水平

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-24 DOI: 10.1016/j.trip.2025.101643

Āris Elbers, Ivars Austers

{"title":"I take the risk, yet they do it more often: Two studies of representative samples of better-than-average effect in explaining the perceived risk-taking near railway crossings","authors":"Āris Elbers, Ivars Austers","doi":"10.1016/j.trip.2025.101643","DOIUrl":"10.1016/j.trip.2025.101643","url":null,"abstract":"<div><div>The high number of injuries and fatalities associated with railways underscores the urgent need for effective transportation safety policies and public safety campaigns. One factor that may help explain risky behavior in these settings is the better-than-average effect (BTAE) −- a cognitive bias in which individuals view their own actions as safer than those of others. To investigate this, we conducted two nationally representative surveys in Latvia (N = 1005 in each sample). Participants reported how often they engaged in specific risky behaviors near railways and how frequently they observed others engaging in the same behaviors. In both studies, a consistent BTAE emerged: people perceived themselves as engaging in risky behaviors less frequently than others. The effect was more substantial for behaviors rated as more dangerous, suggesting that perceived risk amplifies the bias. Additionally, older participants reported lower frequencies of risky behavior for both themselves and others, indicating an age-related decline in perceived risk-taking.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101643"},"PeriodicalIF":3.8,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160189","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

No access for you: modelling the impact of inaccessible streetscapes on disabled people’s mobility No access for you：模拟无障碍街景对残疾人行动的影响

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-23 DOI: 10.1016/j.trip.2025.101645

Arun Ulahannan, Stewart Birrell, Paul Herriotts

{"title":"No access for you: modelling the impact of inaccessible streetscapes on disabled people’s mobility","authors":"Arun Ulahannan, Stewart Birrell, Paul Herriotts","doi":"10.1016/j.trip.2025.101645","DOIUrl":"10.1016/j.trip.2025.101645","url":null,"abstract":"<div><div>This novel study models the lived experiences of disabled people navigating streetscape barriers through the lens of the impact on their life. 408 disabled people across the UK completed an online questionnaire, analysed through a robust methodology employing Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modelling (SEM). The research provides the first empirical prioritisation of the most critical barriers in street design and governance. The study identifies the top issues affecting disabled people, ranked by their impact on their life as: Pavement Needs, Pavement Blockers, Previous Negative Experiences, Local Authorities and Roadworks. The study makes three contributions. It provides the first empirically prioritised model of streetscape barriers, establishing an evidence base for targeted interventions. It demonstrates that inaccessibility has long-term effects, as repeated negative encounters alter travel habits, diminish trust in public space, and reinforce exclusion. Finally, it shows that governance matters as much as physical design, with perceptions of neglect and poor communication from local authorities significantly impacting disabled people. Actionable recommendations are drawn out for policymakers and researchers. Future work must now prioritise collaboration with disabled people to build a fairer, more equitable society. This study establishes a critical foundation for addressing systemic inequities in street design, pushing for a paradigm shift toward inclusivity and accountability in urban planning and transport.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101645"},"PeriodicalIF":3.8,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119947","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

The effect of training on law enforcement response to vehicle cybersecurity events 培训对执法部门应对车辆网络安全事件的影响

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-22 DOI: 10.1016/j.trip.2025.101644

Jaji Pamarthi, William Hanson, Nandni Talreja, Meng Wang, Shannon C. Roberts

{"title":"The effect of training on law enforcement response to vehicle cybersecurity events","authors":"Jaji Pamarthi, William Hanson, Nandni Talreja, Meng Wang, Shannon C. Roberts","doi":"10.1016/j.trip.2025.101644","DOIUrl":"10.1016/j.trip.2025.101644","url":null,"abstract":"<div><div>Emerging technologies have revolutionized driving by providing a safer and more comfortable experience. However, most vehicles – including those used by law enforcement officers – overlook cybersecurity considerations, leaving them susceptible to cyberattacks. At this critical juncture, as technology becomes increasingly integrated into the vehicle fleet, it is important to enhance awareness of cybersecurity risks in vehicles. This mixed methods study investigates the impacts of a training program on law enforcement officers’ behavior using a driving simulator study and interviews. Thirteen law enforcement officers completed the study, revealing varied reactions to three vehicle cyberattacks. There is a difference between those who received Advanced Training and those who receive Basic Training in terms of their conceptual understanding, but not necessarily in how they respond to cybersecurity events. The study highlighted a lack of comprehension regarding vehicle cybersecurity among participants, indicating a need for enhanced training and awareness initiatives to fortify law enforcement’s officers’ cybersecurity response capabilities.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101644"},"PeriodicalIF":3.8,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108009","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

Determinants of intercity mode choice preferences and travel behavior in a border tourism city 边境旅游城市城际模式选择偏好与出行行为的决定因素

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-22 DOI: 10.1016/j.trip.2025.101638

Tosporn Arreeras , Sayam Sunmud , Kittichai Thanasupsin , Suchada Phonsitthangkun

{"title":"Determinants of intercity mode choice preferences and travel behavior in a border tourism city","authors":"Tosporn Arreeras , Sayam Sunmud , Kittichai Thanasupsin , Suchada Phonsitthangkun","doi":"10.1016/j.trip.2025.101638","DOIUrl":"10.1016/j.trip.2025.101638","url":null,"abstract":"<div><div>This study examines the intercity mode choice preferences and travel characteristics of tourists in Chiang Rai, a notable border tourism city in northern Thailand. Despite growing tourism demand, the region faces persistent transport infrastructure challenges, which are underrepresented in the literature that predominantly focuses on metropolitan contexts. This gap limits the understanding of mobility dynamics in secondary cities crucial to regional tourism development. Utilizing a multinomial logit (MNL) model, data from 403 non-residents of Chiang Rai were analyzed to identify the determinants influencing travelers’ transportation choices among various modes, including air transport, public buses, and private cars. The results indicate that demographic factors such as age, gender, and income, in conjunction with travel-specific variables like trip purpose, travel time, and cost, significantly influence mode choice. The preference for private cars over public transportation underscores the need for enhancing public transport infrastructure to improve the tourist experience and support sustainable tourism development. This study contributes empirical evidence on tourist travel behavior in a border city, underscoring the importance of socioeconomic and trip-related factors in mode choice. The findings support the need for targeted policies and infrastructure upgrades to foster sustainable transport and enhance Chiang Rai’s tourism appeal.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101638"},"PeriodicalIF":3.8,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108008","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

Transport infrastructure investments and economic transformation in South Africa: The case of integrated public transport network in the Gauteng Province 南非交通基础设施投资与经济转型：以豪登省综合公共交通网络为例

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-20 DOI: 10.1016/j.trip.2025.101637

Alexis Habiyaremye, Makgapjane Toloki Thobela, Charles Shaaba Saba

{"title":"Transport infrastructure investments and economic transformation in South Africa: The case of integrated public transport network in the Gauteng Province","authors":"Alexis Habiyaremye, Makgapjane Toloki Thobela, Charles Shaaba Saba","doi":"10.1016/j.trip.2025.101637","DOIUrl":"10.1016/j.trip.2025.101637","url":null,"abstract":"<div><div>With the unemployment in South Africa reaching 32.5 %, rising inequality, poverty, and low growth rates, investment in infrastructure projects like the Integrated Public Transport Network (IPTNs) is a strategic tool in the hands of government to transform the economy. This article examines the IPTN infrastructure project in the Gauteng Province to analyse its contribution to local economic transformation and skills development. The research is designed as a deep-dive case study in which pertinent data are collected from multiple stakeholders through semi-structured interviews, and triangulated through available internal and external documents. The research sample comprises IPTN planners, contractor and sub-contractor small-, medium- or micro-enterprises (SMMEs), an executive from a bus manufacturing firm, and representatives from the transformed taxi industry. The main findings from the study reveal that infrastructure investments in IPTNs have been instrumental in fostering job creation, driving skills development, supporting SMME growth, and spurring a surge in local bus manufacturing. The case study for successful vehicle operating companies (VOCs) suggests that further investigation into other manufacturing opportunities and skills development is needed to provide additional evidence of infrastructure investment spillovers.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101637"},"PeriodicalIF":3.8,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098488","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

Understanding future adoption of autonomous vehicle services among disabled and non-disabled users 了解未来自动驾驶汽车服务在残疾人和非残疾人用户中的应用

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-19 DOI: 10.1016/j.trip.2025.101602

Shravani Sharma , Roger Woodman , Neel Ocean , Mark T. Elliott

{"title":"Understanding future adoption of autonomous vehicle services among disabled and non-disabled users","authors":"Shravani Sharma , Roger Woodman , Neel Ocean , Mark T. Elliott","doi":"10.1016/j.trip.2025.101602","DOIUrl":"10.1016/j.trip.2025.101602","url":null,"abstract":"<div><div>Autonomous vehicles (AVs) are poised to transform mobility, yet their adoption depends on both subjective and objective factors. While objective factors like cost and accessibility are well studied, subjective factors, such as trust, perceived safety, and wellbeing, become particularly crucial when users may have not yet experienced these new transport modes. Existing research often treats AVs as a singular concept, overlooking the diversity of AV services and their varying appeal across populations. This study bridges this gap by comparing adoption preferences for multiple AV services, including AV Taxis, AV Remote Taxis, AV Micro Cars, AV Private Cars and AV Buses, across disabled and non-disabled populations. Using sentiment analysis and statistical analysis, we examine how wellbeing, assistance availability, design etc. influence transport choices. Findings vary across mental health, physical health, and non-disabled populations for different AV services. These insights provide a framework for policymakers and industry leaders to design equitable and inclusive AV systems globally.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101602"},"PeriodicalIF":3.8,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098486","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

Impact of acute glucose episodes on adherence to speed limits in the naturalistic setting for drivers with diabetes: An application of linear quantile mixed models 急性血糖发作对糖尿病司机遵守车速限制的影响：线性分位数混合模型的应用

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-19 DOI: 10.1016/j.trip.2025.101633

Aparna Joshi , Archana Venkatachalapathy , Jennifer Merickel , Jun Ha Chang , Matthew Rizzo , Soumik Sarkar , Anuj Sharma

{"title":"Impact of acute glucose episodes on adherence to speed limits in the naturalistic setting for drivers with diabetes: An application of linear quantile mixed models","authors":"Aparna Joshi , Archana Venkatachalapathy , Jennifer Merickel , Jun Ha Chang , Matthew Rizzo , Soumik Sarkar , Anuj Sharma","doi":"10.1016/j.trip.2025.101633","DOIUrl":"10.1016/j.trip.2025.101633","url":null,"abstract":"<div><div>Diabetes can cause complications from hypoglycemic and hyperglycemic episodes, impairing cognitive and motor skills essential for safe driving. Advances in low-cost sensors and wearable technologies have enabled naturalistic driving studies (NDS) that simulate real-world conditions while monitoring drivers’ blood glucose levels. This paper analyzes data from an NDS conducted in Nebraska, focusing on how drivers with Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM), as well as control participants without diabetes, adhere to speed limits of 50–75 mph on highways. Alongside a conventional Linear Mixed Effects Model (LMM), we introduce a novel Linear Quantile Mixed Effects Model (LQMM) to evaluate six quantiles (τ = 0.10, 0.25, 0.50, 0.75, 0.85, and 0.90) of speed limit adherence during acute glucose episodes, including hyperglycemia and hypoglycemia. Findings show that hypoglycemia generally leads T1DM drivers to drive more cautiously and remain below speed limits. No significant effects of hypoglycemia or hyperglycemia were observed on T2DM drivers’ speed adherence, suggesting glycemic fluctuations may not substantially influence their behavior. Hyperglycemia was linked to increased caution among T1DM drivers, consistent with evidence of heightened physiological awareness in this group. Control drivers exceeded speed limits more often than those with diabetes, especially relative to T2DM drivers. Roadway characteristics (e.g., traffic flow and speed limits) and age also influence speed behavior, highlighting important contextual factors. By utilizing distribution-based methods like LQMMs that account for participant heterogeneity, this paper presents a nuanced view of speed control patterns, yielding new insights into how diabetes affects driving safety.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101633"},"PeriodicalIF":3.8,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098487","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

Comparing econometric and machine learning models to fare evasion prediction 比较计量经济学和机器学习模型对逃票预测的影响

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-18 DOI: 10.1016/j.trip.2025.101636

Benedetto Barabino, Roberto Ventura

{"title":"Comparing econometric and machine learning models to fare evasion prediction","authors":"Benedetto Barabino, Roberto Ventura","doi":"10.1016/j.trip.2025.101636","DOIUrl":"10.1016/j.trip.2025.101636","url":null,"abstract":"<div><div>Fare evasion poses a significant financial threat to Transit Agencies (TAs) and Public Transport Companies (PTCs) globally, especially within Proof-of-Payment Transit Systems (POP-TSs). Understanding and estimating fare evasion frequency is crucial for developing targeted countermeasures. Traditionally, Econometric Models (EMs) have been employed for this purpose, linking fare evasion frequency to specific predictors to assess their effects and significance. However, Machine Learning Models (MLMs) have recently emerged as promising tools, offering the potential for enhanced accuracy through complex data analysis. Despite their strengths, a comprehensive comparison between EMs and MLMs for predicting fare evasion frequency has been lacking in the literature.</div><div>This study addresses this gap by developing, calibrating, and validating two alternative frequency estimation models—an EM based on a Generalised Linear Regression Model (GLRM) and an MLM based on an Artificial Neural Network Model (ANNM). Using 4,000- real-world records from an Italian mid-sized PTC, the models’ performances are quantitatively assessed through regression plots, error metrics, and fare evasion event ratios. The findings indicate that ANNM slightly outperforms GLRM on the considered dataset, showing a higher correlation coefficient, reduced margin of error, and a fare evasion event ratio closer to one. Moreover, the predictor effects were explored, an area where ANNM’s “black box” nature traditionally limits transparency. An overview of these effects shows that while both models identify similar key factors, each prioritises different aspects of fare evasion influences. These insights would help TAs/PTCs select models based on data, interpretability needs, and fare evasion patterns, supporting more effective, data-driven management strategies.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101636"},"PeriodicalIF":3.8,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098485","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

Experimental trust dynamics modelling in supervised autonomous ship navigation in collision avoidance scenarios 有监督自主船舶避碰导航实验信任动力学建模

IF 3.8

Transportation Research Interdisciplinary Perspectives Pub Date : 2025-09-18 DOI: 10.1016/j.trip.2025.101634

Rongxin Song , Eleonora Papadimitriou , Rudy R. Negenborn , Pieter van Gelder

{"title":"Experimental trust dynamics modelling in supervised autonomous ship navigation in collision avoidance scenarios","authors":"Rongxin Song , Eleonora Papadimitriou , Rudy R. Negenborn , Pieter van Gelder","doi":"10.1016/j.trip.2025.101634","DOIUrl":"10.1016/j.trip.2025.101634","url":null,"abstract":"<div><div>Maritime Autonomous Surface Ships (MASS) are advancing the shipping industry, requiring a mixed waterborne transport system (MWTS) where human supervision provides a supporting role for maintaining safety and efficiency, particularly in complex scenarios. This study explores the dynamics of seafarers’ trust in MASS during collision avoidance (CA) scenarios involving a vessel approaching from the starboard side. An empirical study with 26 participants representing diverse maritime experience levels examined how time, demographic factors, and collision avoidance strategies influence trust. Using a linear mixed model (LMM), trust was found to fluctuate across navigation stages: gradual accumulation during the routine navigation stage, sharp dissipation during strategy determination and execution stages, and partial recovery at the final stage. Strategies aligned with maritime regulations and appropriately timed evasive actions fostered higher trust, while overly early or imminent actions reduced trust. Additionally, a factor analysis consolidated the five trust dimensions, including dependability, predictability, anthropomorphism, faith, and safety, into two aspects: System Competence, encompassing the first four dimensions, and Situational Safety, representing safety-related trust. Furthermore, Bayesian Network (BN) is developed to model trust in the autonomous decision-making of MASS, integrating human observers demographics and situational factors. The model captures sequential trust dependencies, revealing the cascading effects of trust across various stages and the role of System Competence in shaping overall trust in the entire decision-making process. These findings provide actionable insights for designing MASS that support trust-building and optimise collision avoidance strategies, contributing to safer and more efficient autonomous maritime operations.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"34 ","pages":"Article 101634"},"PeriodicalIF":3.8,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098484","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