Transportation Research Part F-Traffic Psychology and Behaviour最新文献

{"title":"Technologies and strategies for recognizing and regulating drivers’ emotions in driving: state-of-the-art review and future directions","authors":"Yingyi Li,&nbsp;Xiaoyi Wang,&nbsp;Calvin Or","doi":"10.1016/j.trf.2026.103531","DOIUrl":"10.1016/j.trf.2026.103531","url":null,"abstract":"<div><div>Emotion-induced traffic accidents often arise from a temporary depletion in emotional awareness management (EAM). Technology-assisted EAM systems (TEAMS), which combine real-time emotion recognition with timely regulation strategies, offer a promising approach to mitigating emotion-related driving risks. This systematic review synthesizes current research on emotion recognition and emotion regulation in driving contexts. We conducted a structured search across ACM Digital Library, IEEE Xplore, Scopus, and Web of Science, followed by screening based on predefined criteria. A snowballing search was also used to identify studies on emotion regulation. Ultimately, 134 peer-reviewed studies were included. The results revealed an isolated, unbalanced development of emotion recognition and emotion regulation, with systems that integrate both remaining scarce. Existing emotion recognition research focused predominantly on facial and physiological cues, followed by speech and driving features. Most studies emphasized algorithmic performance and relied on datasets outside driving contexts, which limited ecological validity and generalizability. Research on emotion regulation remained nascent, with studies exploring regulatory strategies such as auditory, visual, and combined feedback. Most of these studies were conducted in laboratory settings, and evaluation approaches varied, often relying on questionnaires or physiological measures. This review suggests the need for future efforts to develop unified, adaptive, and human-centered TEAMS. It also recommends creating diverse, accessible multimodal driving datasets and establishing comprehensive evaluation frameworks that cover objective and subjective measures. Human-centered TEAMS may reduce emotion-induced accidents and enhance safety and interaction during transitions to higher levels of driving automation, thus supporting the development of future intelligent transportation systems.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103531"},"PeriodicalIF":4.4,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Subjective driving experience recorded live: A naturalistic driving approach","authors":"Katharina Simon,&nbsp;Konstantin Felbel,&nbsp;André Dettmann,&nbsp;Angelika C. Bullinger","doi":"10.1016/j.trf.2026.103538","DOIUrl":"10.1016/j.trf.2026.103538","url":null,"abstract":"<div><div>For the development of human-like automated driving functions, recent years have increasingly highlighted the importance of understanding drivers' everyday experiences, which have received less attention compared to the well-established research on human driving behaviour. Drivers' subjective perspectives on daily driving events have so far been based primarily on retrospective data collected through online surveys, interviews or diary studies – resulting in potentially biased post-trip assessments. Surprisingly, this has not been amended with the recent increase of Natural Driving Studies (NDS) which capture real-time driving behaviours, offering genuine insights into drivers' daily driving events. Our research fills this gap and takes a step towards collecting subjective assessments during a daily drive. We designed, developed and tested a smartphone-based qualitative approach to assess drivers' subjective impressions of their driving experiences, in particular their perceptions of challenging situations. Drawing on results from two studies with <em>N</em> = 110 participants who produced 2514 voice recordings, we present nuances, advantages, and limitations of this novel approach in comparison to existing methodologies. We show that our approach can capture in real time the wide range of events that drivers are confronted with in daily driving and their assessment thereof. With our approach, we further advance the understanding of drivers' subjective assessment during a drive and build a foundation for future research.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103538"},"PeriodicalIF":4.4,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trust on trial: Mixed methods unravel desire, dread, and disruption in China's autonomous taxi surge","authors":"Sohaib Mustafa ,&nbsp;Qiang Wang ,&nbsp;Khalid Jamil","doi":"10.1016/j.trf.2026.103535","DOIUrl":"10.1016/j.trf.2026.103535","url":null,"abstract":"<div><div>This mixed-methods study investigates the drivers of intention to adopt driverless taxis in China, integrating qualitative interviews (<em>n</em> = 45) and longitudinal survey data (<em>n</em> = 503, three waves) to explore the interplay of value perceptions, trust, and regulatory influence across five pilot cities. Grounded in the value-based adoption model, findings reveal perceived safety concerns (e.g., algorithmic reliability, cybersecurity) and cost sacrifices (e.g., hidden fees) as critical barriers, eroding trust in technology. Conversely, hedonic value (novelty, social flaunting) and perceived usefulness (convenience, environmental benefits) significantly enhance trust, mediating adoption intent. China's regulatory environment amplifies these effects, moderating the impact of perceived usefulness and hedonic value, and turns safety concerns into confidence, but fails to mitigate cost-related distrust. Qualitative insights contextualize these paths: Safety anxieties dominate discourse (28% of participants), while urban consumers prioritize status-driven adoption. Regulatory gaps in liability frameworks and infrastructure disparities exacerbate rural-urban divides. The study advances autonomous vehicle adoption theory by embedding sociocultural dynamics (e.g., flaunting culture) and regulatory moderation into value-based models. Practical implications urge policymakers to accelerate liability reforms and subsidise rural trials, while firms must prioritize algorithmic transparency and hedonic marketing. By bridging qualitative narratives with quantitative rigour, this research offers a holistic framework for scaling autonomous mobility in evolving urban ecosystems</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103535"},"PeriodicalIF":4.4,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of travel on perceived activity performance","authors":"Jonas De Vos ,&nbsp;Milad Mehdizadeh","doi":"10.1016/j.trf.2026.103537","DOIUrl":"10.1016/j.trf.2026.103537","url":null,"abstract":"<div><div>Many studies in the past two decades have explored travel satisfaction and its determinants. However, how travel satisfaction impacts emotions after trips and the performance of activities upon arrival have only been explored to a limited extent. In this study – using data from online surveys – we analyse travel satisfaction of 2000+ students and staff of University College London travelling to campus, and how this influences the emotions upon arrival and the perceived performance of the first activity after arriving on campus. Additionally, we explore how trip characteristics (e.g., mode, duration, weather) influence the above three elements. Results from one-way ANOVAs and a structural equation model show that there are strong spill-over effects of trip satisfaction on the emotions and activity performance upon arrival. We also found that the used travel mode and trip duration influence trip satisfaction, emotion upon arrival and perceived activity performance. However, their effects on emotions and activity performance are mainly indirect via travel satisfaction. Results indicate that active and short trips will not only improve travel satisfaction, but that they can also positively influence people's mood and the performance of activities. Hence, transport planning concepts stimulating short/active trips have the potential to improve emotional well-being and – through better perceived activities – overall life satisfaction.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103537"},"PeriodicalIF":4.4,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mental model evolvement during drivers' first experience with conditionally automated driving systems in real-world traffic","authors":"Sarah Schwindt-Drews,&nbsp;Bettina Abendroth","doi":"10.1016/j.trf.2026.103508","DOIUrl":"10.1016/j.trf.2026.103508","url":null,"abstract":"<div><div>This study examines the development of drivers' general mental models during their first real-world experience with the SAE Level 3 conditionally automated driving system (CADS) Drive Pilot. While previous research has primarily investigated mental model formation in simulators or on test tracks, little is known about how accuracy and completeness evolve during initial use in naturalistic traffic. Twenty-nine participants without prior CADS experience completed a within-subject on-road study with three measurement points: before receiving any information about the CADS (t₁), after a short instructional video (t₂), and after a real-world drive on a German motorway (t₃). Mental models were assessed with a system-specific self-report questionnaire designed to evaluate both accuracy and completeness. Qualitative and statistical analyses showed high initial accuracy for core functions, alongside considerable misconceptions and knowledge gaps regarding limitations and operational aspects. The instructional video improved both accuracy and completeness, including for some limitations not explicitly covered. Real-world driving further increased accuracy across categories. However, completeness declined, particularly for limitations not encountered during the drive. Statistical analyses confirmed significant improvements in accuracy from t₁ to t₂, t₁ to t₃ and t₂ to t₃. Findings suggest that short, targeted instructions combined with immediate real-world exposure can effectively enhance the accuracy of drivers' mental models. However, knowledge about seldom-encountered limitations decays rapidly without reinforcement, highlighting the need for specific instruction and in-vehicle systems that sustain awareness of rare but safety-critical constraints over time.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103508"},"PeriodicalIF":4.4,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hazard warning lights or pictogram on a display? Investigating drivers' mental workload, behavior, and signal preference while overtaking a robotaxi equipped with rear communication systems during passenger drop-off","authors":"Aïsha Sahaï ,&nbsp;Onoriu Puscasu ,&nbsp;Marie Niepceron ,&nbsp;Thomas Jacquet ,&nbsp;Natacha Métayer","doi":"10.1016/j.trf.2026.103533","DOIUrl":"10.1016/j.trf.2026.103533","url":null,"abstract":"<div><div>This study aimed to investigate the impact of different rear external human-machine interfaces (eHMI) signals sent by a robotaxi during passenger drop-off on a following human driver. Twenty-five participants completed four rides on a closed track, including the overtaking of a stopped robotaxi during passenger drop-off. When the participants' car was either 30 m or 60 m from the stationary robotaxi, a passenger exited it. The robotaxi communicated its intention to remain at stop using either a rear external display showing a pictogram (Display condition, 2 trials) or the conventional hazard warning lights (Hazard warning lights condition, 2 trials). After each ride, the participants rated the visibility and use of the eHMI signal, and their mental workload during the overtaking maneuver, using questionnaires. At the end of the experiment, the participants indicated their preferred eHMI signal and participated in semi-structured interviews aimed at assessing their understanding of the eHMI signals. Data were analyzed using linear mixed-effects models comparisons. The results indicated high levels of visibility and use of the eHMI signal in the Display condition, with most participants preferring this signal. Additionally, although the participants reported lower mental workload in the Hazard warning lights condition than in the Display condition, their mental workload remained at moderate intensity in the latter. Furthermore, the analysis of the participants' vehicle behavior showed that the participants had lower approach and overtaking speeds in the Display condition than in the Hazard warning lights condition, suggesting a more cautious driving behavior. These findings suggest that the eHMI signal in the Display condition may serve as a desirable and safety-enhancing means of communication for following human drivers.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103533"},"PeriodicalIF":4.4,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding motorcyclists' perceptions of risk, safety behaviors, and attitudes toward public safety measures: A qualitative study in two argentine cities, Buenos Aires and Córdoba","authors":"Fernando Martín Poó ,&nbsp;Rubén Daniel Ledesma ,&nbsp;Elizaveta Zeinalova ,&nbsp;Irina Morozova ,&nbsp;Nandita Murukutla","doi":"10.1016/j.trf.2026.103512","DOIUrl":"10.1016/j.trf.2026.103512","url":null,"abstract":"<div><div>Motorcyclists are among the most vulnerable road users globally. In Argentina, this group faces a critical safety crisis, accounting for 4 out of every 10 traffic fatalities in 2022. Despite this disproportionately high crash rate, research into the contextual perceptions and experiences that shape motorcyclists' safety behaviors remains limited. This qualitative study aims to explore riders' views on risk factors, safety practices, and strategies for improving road safety.</div><div>A total of 63 riders (ages 18 to 49), segmented by age, gender, and use type (work-related or private), participated in eight focus groups organized in two major Argentine cities: Buenos Aires and Córdoba. Thematic analysis of the discussions reveal that participants primarily attributed risk to reckless behavior by drivers of larger vehicles, inadequate infrastructure, and—for occupational riders—adverse work conditions and economic pressures. Participants acknowledged engaging in risky behaviors such as speeding and alcohol consumption, which were often justified by factors like crime avoidance, time constraints, or habit. Additional influences on safety included factors such as motorcycle type, maintenance, and rider experience. Of note, overconfidence—especially among younger riders—was identified as a contributing factor to crashes. Strong facilitators for safer practices included motivational factors like family responsibilities and personal crash experiences, as well as recognized external interventions such as enforcement, awareness campaigns, training, and licensing improvements. Findings underscore the urgent need for targeted, context-sensitive interventions that address both the structural environment and the behavioral determinants of motorcycle safety, particularly for the growing population of delivery riders.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103512"},"PeriodicalIF":4.4,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parents' beliefs underlying modal choice in Kids' School trips in mid-sized Czech City","authors":"Hartmannová Lucie ,&nbsp;Vorlíček Michal ,&nbsp;Dygrýn Jan ,&nbsp;Burian Jaroslav ,&nbsp;Dostál Daniel ,&nbsp;Šucha Matúš","doi":"10.1016/j.trf.2026.103530","DOIUrl":"10.1016/j.trf.2026.103530","url":null,"abstract":"<div><div>This study examined individual, social, and environmental predictors of active school transport (AST) among eighth-grade students (ISCED 2) in Olomouc, a mid-sized Central European city. Data were collected from 141 parent–child dyads using one-week travel diaries, child and parent questionnaires, and standardized audits of the school surroundings. Children's trips to and from school were classified as active (walking or cycling) or non-active (car or public transport). Seven separate hierarchical logistic regression models were estimated, each representing one analytically distinct construct at the individual, social, or environmental level.</div><div>Home–school distance emerged as the most consistent environmental predictor of AST, with active commuting declining sharply beyond approximately 2 km. At the individual and social levels, children's habitual use of AT for extracurricular activities and parents' beliefs about AST—particularly evaluations related to safety, convenience, reliability, and enjoyment—were strongly associated with children's school travel mode. In contrast, perceived barriers reported by children and most objectively assessed characteristics of the school surroundings showed comparatively modest associations with AST.</div><div>These findings suggest that interventions aiming to promote AST may benefit from supporting habit formation outside school hours, strengthening parental beliefs about walking and cycling, and ensuring walkable distances between homes and schools. Methodologically, the study demonstrates the value of combining subjective and objective data sources to better understand school travel behavior and to inform context-sensitive strategies in mid-sized European cities.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103530"},"PeriodicalIF":4.4,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acceptability and perceived safety of automated vehicle driving styles in mixed-autonomy traffic: Insights from driver-AV interaction","authors":"Lin Zhou,&nbsp;Roger Woodman,&nbsp;Zhizhuo Su,&nbsp;Kurt Debattista","doi":"10.1016/j.trf.2026.103532","DOIUrl":"10.1016/j.trf.2026.103532","url":null,"abstract":"<div><div>The seamless integration of automated vehicles (AVs) into mixed-autonomy traffic necessitates AV behaviour that human drivers can accurately anticipate and accept. While extensive research examines human reactions to AVs, a critical gap persists in understanding human drivers' explicit expectations of AV behaviour during complex road interactions. Addressing this gap, this study investigates UK drivers' expectations of AV tactical decision-making, exploring how right-of-way priority, conflict types, and AV driving style collectively influence behaviour acceptability and perceived safety. A total of 103 UK drivers participated in a simulation-based video survey depicting unsignalised conflicts, varying across three right-of-way conditions (AV priority, human-driven vehicle priority, unclear priority), two conflict types (crossing, weaving) and two driving styles (aggressive, defensive). Generalised linear mixed models (GLMM) were fitted to the 3 × 2 × 2 within-participants design, with demographic factors included as covariates. The results reveal clear context-dependent preferences: drivers expect AVs to assert priority when holding the right of way and exhibit defensive behaviour when human drivers have priority. In ambiguous situations, defensive driving is generally preferred, though aggressive behaviour is acceptable in low-speed crossing conflicts. Moreover, annual driving mileage influences these preferences in a potential non-linear way. These findings advocate for context-adaptive and human-centred AV planning algorithms that integrate formal rules with human expectations, moving beyond universal “always-yield” policies. This contributes to enhancing AV predictability, minimising conflicts, and fostering public acceptance in mixed-autonomy traffic.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103532"},"PeriodicalIF":4.4,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A theoretically informed investigation of young drivers' intentions to engage in hand-held phone use for video and text messaging in vehicles with and without ADAS","authors":"Sherrie-Anne Kaye,&nbsp;David Rodwell,&nbsp;Ioni Lewis","doi":"10.1016/j.trf.2026.103536","DOIUrl":"10.1016/j.trf.2026.103536","url":null,"abstract":"<div><div>Smartphones now commonly support video messaging. This study extends upon previous research by assessing young drivers' aged 17–25 years intentions to watch a video message while driving and how this behaviour compared to reading a text message while driving. Specifically, this study applied an extended Theory of Planned Behaviour (TPB), with additional constructs of moral norms, descriptive norms, and anticipated regret, to examine young drivers' intentions to use a smartphone to perform these two behaviours while driving. Further, the study assessed if self-reported intentions to perform these two behaviours differed when driving a vehicle with and without advanced driver assistance systems (ADAS) in an urban or regional environment. A total of 229 Australian young licensed drivers (<em>M</em> = 19.41 years, <em>SD</em> = 1.91 years, 78% female) completed a 20-min online questionnaire. Twenty-nine percent of participants reported <em>sometimes to very often</em> using a handheld smartphone to read a text message, while 4% of participants reported <em>sometimes to very often</em> using a handheld smartphone to watch a video message while driving. Two hierarchical multiple regressions assessed the extent to which the standard TPB constructs of attitudes, injunctive norms, and perceived behavioural control (PBC; Step 1), and moral norms, descriptive norms, and anticipated regret (Step 2) predicted intentions to use a handheld smartphone to (i) watch video messages and (ii) read text messages while driving. Attitudes, injunctive norms, PBC: efficacy, and moral norms were significant predictors of young drivers' intentions to both use a handheld smartphone to watch a video message and read a text message while driving. For reading a text message, descriptive norms was also a significant predictor of intentions. Paired <em>t</em>-tests showed that participants reported significantly higher intentions to use their smartphone to watch a video message and read a text message while driving when the vehicle featured lane keeping assist, autonomous emergency braking, and adaptive cruise control compared to when in the absence of ADAS. However, mean intentions ratings remained low across all conditions, suggesting that despite this significant result, self-reported intentions to use a smartphone while driving were low. These findings highlight that despite being an illegal behaviour, some young drivers still report using a handheld smartphone while driving. Therefore, more research is also required to examine the impact of vehicle technologies on driver distraction, particularly for the younger driving cohort.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"118 ","pages":"Article 103536"},"PeriodicalIF":4.4,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}