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

{"title":"Will motorcyclists use segregated lanes?","authors":"Garis Coronell ,&nbsp;Víctor Cantillo ,&nbsp;Alfredo J. Ojeda-Diaz ,&nbsp;Eva Moreno","doi":"10.1016/j.trf.2025.103361","DOIUrl":"10.1016/j.trf.2025.103361","url":null,"abstract":"<div><div>Motorcycle usage has increased over the past two decades, particularly in the Global South. In countries like Colombia, the number of motorbikes has surpassed the number of cars. At the same time, there has been a worrying rise in fatalities and injury rates among motorcyclists, primarily due to conflicts with other vehicles which have dissimilar operational characteristics. One proposal to mitigate these conflicts and enhance safer operation is the definition of dedicated lanes for motorcycles. For this purpose, it is relevant to evaluate motorcyclists’ behaviour towards the characteristics of dedicated lanes and their willingness to use them. This paper assesses the factors related to physical characteristics, traffic conditions, and perceptions of safety regarding the readiness to use or not use exclusive motorcycle lanes (EML). For this purpose, a hybrid discrete choice model was estimated using data from a stated preference survey applied to motorcyclists in Barranquilla, Colombia. The results show that the flow of vehicles in the mixed lanes and motorcyclists in the dedicated lane strongly influences the decision to use the EML. The intention to use the EML is sensitive to lane width and the provision of a physical separator. Users with higher risk perception are more likely to use the dedicated lane.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103361"},"PeriodicalIF":4.4,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049418","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 randomized controlled trial evaluating the impact of Plan My Ride, an interactive, web-based safe driving program for young drivers","authors":"Rebecca L. Stelter ,&nbsp;Allison M. Schmidt ,&nbsp;Janis B. Kupersmidt ,&nbsp;Kathryn Stump","doi":"10.1016/j.trf.2025.103351","DOIUrl":"10.1016/j.trf.2025.103351","url":null,"abstract":"<div><div>Completion of driver licensing requirements presents a valuable opportunity to teach teens and young adults skills to drive safely that go beyond the mechanics of driving to prevent motor vehicle crashes, a leading cause of death in these age groups. The <em>Plan My Ride</em> program is a web-based, safe driving program that focuses on avoiding speeding, driving distracted due to cell phones, and impaired driving due to use of alcohol and drugs, informed by the Integrated Behavior Model, designed with and for teen and young adult drivers. In a randomized controlled trial, young drivers were recruited and randomized to complete <em>Plan My Ride</em> or to a waitlist control group. All participants completed surveys at three time points (baseline, 2 weeks, and 3 months). Intent-to-treat analyses compared the intervention and waitlist control groups in their knowledge, attitudes, normative beliefs, self-efficacy, intentions, and behaviors related to safe driving. Follow-up complier average causal effect (CACE) analyses compared participants who completed the seven lessons with similar participants in the waitlist control group. Intent-to-treat analyses indicated that participants randomized to complete the <em>Plan My Ride</em> program had greater knowledge about safe driving and attitudes and normative beliefs supportive of safe driving at the 2-week follow-up. The impact on attitudes supportive of safe driving was sustained at the 3-month follow-up. Follow-up CACE analyses indicated medium effect sizes at both the 2-week and 3-month follow-ups for knowledge, attitudes, and normative beliefs about safe driving. The <em>Plan My Ride</em> program was successful in modifying knowledge, attitudes, and beliefs that are supportive of safe driving behaviors. The lack of statistically significant effects of exposure to the program on safe driving self-efficacy, intentions, and self-reported behaviors suggests the need for future modifications to the program to improve its efficacy.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103351"},"PeriodicalIF":4.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026910","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":"Assessing pedestrian stress with biometric sensing and survey responses","authors":"Shiyu Ma,&nbsp;Wenwen Zhang,&nbsp;Robert B. Noland,&nbsp;Clinton J. Andrews,&nbsp;Hannah Younes,&nbsp;Leigh Ann Von Hagen","doi":"10.1016/j.trf.2025.103347","DOIUrl":"10.1016/j.trf.2025.103347","url":null,"abstract":"<div><div>Recent advances in biometric sensing technologies, such as eye tracking, heart rate trackers, and galvanic skin response (GSR) sensors, offer new opportunities to measure pedestrian stress level and their travel experiences in real-time. Uncertainty remains about whether biometric sensor measurements of stress align with self-reported stress. We investigate the association between pedestrians’ sensor-measured stress and survey-reported stress, as well as the temporal sensitivity of sensor metrics across varying time intervals. We conducted a semi-naturalistic walking experiment along a 1.2-mile route featuring six streets with distinct built environment features. Thirty participants, equipped with sensors to measure heart rate variability (HRV), electrodermal activities (EDA), and gaze behaviors (with eye-tracking glasses), walked the route and completed post-experiment surveys rating stress levels for each street. Forty-eight stress-related sensor metrics were compared to survey ratings using bivariate and multivariate methods. Our findings emphasize the importance of a within-subject analytical approach and controlling for confounding factors to robustly associate sensor results with survey outcomes. EDA metrics, collected from GSR sensors, responded more quickly to acute stress, while HRV and gaze metrics are more reliable over longer intervals (30–120 s) to reflect walking stress. We discuss challenges in analyzing and interpreting our sensor measurements and how they measure stress. We draw from the theory of risk homeostasis to explain discrepancies between sensor and survey results. Our methodological framework and findings provide guidance on whether and how biometric sensors can be used to identify pedestrian stress levels.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103347"},"PeriodicalIF":4.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026909","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":"Examination of divergent results studying personality and unsafe driving behavior: facet heterogeneity and scale preferences","authors":"Ruoyun He ,&nbsp;Guojun Chen ,&nbsp;Shuyang Zhang ,&nbsp;Ting Su ,&nbsp;Haode Liu","doi":"10.1016/j.trf.2025.103358","DOIUrl":"10.1016/j.trf.2025.103358","url":null,"abstract":"<div><div>Personality traits serve as robust predictors of unsafe driving behavior, yet Big Five-based evidence shows constantly divergent outcomes, including domain-level contradictions (opposed correlation directions) and inconsistencies (unstable effect sizes), particularly in extraversion and openness. To address these discrepancies, we propose two hypotheses: facet heterogeneity in domains, wherein constituent facets within a domain diverge in behavioral associations, and facet preferences across inventories, as differential facet operationalization in personality scales systematically amplifies domain-level discrepancies. Employing the Chinese version of the Revised NEO Personality Inventory (NEO-PI-R) to assess 1,398 Chinese bus drivers, we analyzed personality domains/facets against unsafe driving behavior through recorded violations cataloged under the DBQ paradigm. The research results demonstrate that facet-level heterogeneity is pervasive across all personality domains and is identified as a key factor contributing to contradictions in extraversion and openness, and inconsistencies in neuroticism, agreeableness, and conscientiousness. Moreover, scale preferences, particularly the inclusion of behaviorally irrelevant or contradictory facets, exacerbate contradictions and inconsistencies across studies. Therefore, the 44-item Big Five Inventory is recommended as the psychometrically optimized instrument for driver personality assessment, as its facet-composition framework eliminates contradictions in neuroticism, agreeableness, and conscientiousness, while mitigating contradictions in extraversion and openness.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103358"},"PeriodicalIF":4.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049417","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":"Evaluating the impact of managed lane separation lines on driver behavior and safety: A human factors study","authors":"Sharfuddin Ahmed,&nbsp;Hatem Abou-Senna","doi":"10.1016/j.trf.2025.103357","DOIUrl":"10.1016/j.trf.2025.103357","url":null,"abstract":"<div><div>Delineators along with separation lines are commonly used managed lane (ML) delineation systems in United States. These separation lines, positioned alongside delineators, provide visual cues to enhance lane discipline by clearly marking the width of separation between ML and general-purpose lanes (GPL), thus guiding drivers to maintain appropriate lateral positioning. Two types of lines are typically employed in MLs: double solid lines, which represent wider separation widths, and single solid lines, indicating narrower widths. Although the Federal Highway Administration (FHWA) acknowledges the effectiveness of combining separation lines with delineators for guiding driver behavior, the specific impacts of different separation lines remain understudied. Given the limited research in this area, this study investigates the comparative effects of single and double solid lines on driver behavior and safety within ML. A driving simulator and an eye tracking device are utilized to capture drivers’ responses to the separation lines under different driving conditions including time of day, traffic density and visibility. Data was collected from 60 participants from different age groups and genders, and four key performance measures (deceleration, speed, lane deviation and detection time) were considered to evaluate driving behavior. The results showed that separation lines have a significant effect on drivers’ speeding and lane following behavior. With double solid lines, drivers exhibited more cautious entry into the ML and better speed performance while they tended to show greater lane deviation. Furthermore, it was found that the double solid lines have better visibility than single solid lines.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103357"},"PeriodicalIF":4.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018544","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 right turn: Modeling driver yielding behavior to e-scooter riders","authors":"Alexander Rasch ,&nbsp;Alberto Morando ,&nbsp;Prateek Thalya","doi":"10.1016/j.trf.2025.103353","DOIUrl":"10.1016/j.trf.2025.103353","url":null,"abstract":"<div><div>Electric scooters (e-scooters) are a relatively new and popular means of personal transportation in many cities. Notably, they have been involved in crashes with other road users. Crashes with motorized vehicles are particularly critical since they result in more severe injuries or even fatalities. While previous work has highlighted the consequences of failed interactions, we know little about drivers’ interactions with e-scooters and how to improve them. In this paper, we conducted a test-track experiment to study how drivers negotiate a right turn at an intersection with an e-scooter. Using Bayesian regression, we modeled whether drivers yield to the e-scooter according to their approaching speed and the difference in time-to-arrival, and we were able to predict drivers’ intentions with an AUC of 0.94 and an accuracy of 0.82 in cross-validation. The model coefficients indicate that drivers yield less often when approaching the intersection at a higher speed or larger projected gap. We further modeled drivers’ braking timing (time-to-arrival) and strength (mean deceleration), yielding RMSEs of 1.42 s and 0.33 m/s², respectively. As a reference for driver behavior when interacting with an e-scooter rider, the model can inform the development and evaluation of support systems to warn drivers more effectively.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103353"},"PeriodicalIF":4.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018542","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":"Detecting driver cognitive distraction in lane-change behavior: multi-source indicators from intention and execution phases","authors":"Jinshuan Peng ,&nbsp;Chaoyu Ren ,&nbsp;Xianghao Yang ,&nbsp;Hao Yuan ,&nbsp;Linjun Zhang","doi":"10.1016/j.trf.2025.103343","DOIUrl":"10.1016/j.trf.2025.103343","url":null,"abstract":"<div><div>Lane changes are critical driving maneuvers that pose increased risk under cognitive distractions, thereby comprising operational safety. This study investigated the interaction between cognitive distraction and lane-change behavior using a driving simulator combined with eye-tracking technology, aiming to detect drivers’ distracted states prior to lane-change maneuvers. The lane-change process was divided into two phases: intention and execution. Visual and vehicle control data were collected from drivers with varying driving experience under three states: calculation, conversation and normal driving. The analysis revealed that cognitive distraction delayed lane-change intention, shortened the intention time window, and increased instability in distance judgment and driving decisions. Specifically, distracted drivers maintained a shorter distance to the lead vehicle at the generation moment of lane-change intention, as well as a reduced gap to the trailing vehicle at the execution phase starting point. Distraction also caused more rigid visual scanning patterns, impaired information processing efficiency, and degraded speed regulation and maneuver timing, resulting in longer lane-change durations and poorer lateral and longitudinal control. Inexperienced drivers performed worse under distraction compared to experienced drivers, showing more unstable control behaviors, which increased the risk of lane-change operations. Finally, a cognitive distraction detection model using a random forest algorithm combined with a sliding time window achieved an accuracy of 91.67% in distinguishing distraction samples during the intention phase and 95% before crossing the lane boundary. The proposed method demonstrates strong real-time capabilities and offers valuable insights for developing advanced lane-change assistance systems.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103343"},"PeriodicalIF":4.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018543","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":"Risky e-scooter behaviours: The importance of descriptive norms and perceived behavioural control","authors":"Amanda M. George,&nbsp;Patricia M. Brown","doi":"10.1016/j.trf.2025.103350","DOIUrl":"10.1016/j.trf.2025.103350","url":null,"abstract":"<div><div>The rapid expansion of electric scooters (e-scooters), including shared schemes, has coincided with concerns regarding their safety. Given the relatively recent introduction of e-scooters, there is a paucity of research considering how they are used, including risk factors for unsafe use. The current investigation examined the extent of unsafe e-scooter riding behaviours and the utility of key psychological factors in the prediction of risky e-scooter use among riders in the Australian Capital Territory (ACT), Australia. Three hundred and sixty-two participants who had ridden an e-scooter in the ACT in the previous 12 months (56 % female, mean age = 22.3 years, <em>SD</em> = 7.5, age range 17–72 years) completed an online survey which measured self-reported e-scooter riding behaviours along with demographics and a range of psychological factors (perceived risk, perceived behavioural control [PBC], descriptive norm). Participants also gave reasons for not wearing a helmet, which has previously been identified as a key risk factor of e-scooter related injuries. Results demonstrated a high proportion of risky behaviours, with doubling, use of a smartphone, no helmet, and speeding each reported by more than 50 % of participants. Psychological factors (notably descriptive norm and PBC) were particularly important predictors of risky e-scooter use. These were also identified in qualitative analysis of reasons for not wearing a helmet (N = 184). This study contributes to the burgeoning evidence regarding the importance of psychological factors in predicting risky e-scooter riding behaviours and demonstrates the potential for targeting descriptive norms and PBC as interventions to encourage safer use.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103350"},"PeriodicalIF":4.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018546","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 priori acceptance of automated rideshare services: Do intentions to use differ when safety operators are inside or outside the vehicle?","authors":"Hengyan Pan ,&nbsp;Amanda N. Stephens ,&nbsp;David B. Logan ,&nbsp;William Payre ,&nbsp;Longjian Wang ,&nbsp;Peter Divjakinja ,&nbsp;Helen Zahos ,&nbsp;Sjaan Koppel","doi":"10.1016/j.trf.2025.103360","DOIUrl":"10.1016/j.trf.2025.103360","url":null,"abstract":"<div><div>With advancements in automated driving technology and the sharing economy, automated rideshare services (ARS) are entering the market. In this service, vehicles are controlled by an automated driving system, with a safety operator available to take over if needed. ARS has great potential to reduce travel costs and crashes caused by human error. However, user acceptance is essential for adoption and intention to use.</div><div>To address this issue, this study examined users’ a priori acceptance of ARS by extending the Technology Acceptance Model to include <em>perceived risk</em>, <em>trust</em>, <em>social influence</em>, and <em>facilitating conditions</em> (<em>e.g.,</em> road infrastructure, communication facilities). Intentions to use ARS with an in-vehicle safety operator <em>versus</em> one provided by remote network control was also investigated. Data were collected from 580 participants (M = 32.1 years, SD = 6.8, Range = 21.0–61.0 years; Male: 60.7 %) through an online questionnaire.</div><div>The structural equation model showed that higher levels of <em>perceived trust</em> in automated driving systems, and <em>trust</em> in safety operators were associated with lower <em>perceived safety risk</em> and subsequent increased intention to use the services. Increased <em>perceived safety risk</em> of manual rideshare services only promoted intentions to use ARS with remote safety operators, not those with in-vehicle safety operators. <em>Perceived ease of use</em> strongly influenced intentions for ARS with in-vehicle safety operators, while <em>social influence</em> and <em>facilitating conditions</em> were key factors for those with remote safety operators.</div><div>These findings indicate a need for programs that enhance users’ understanding of how automated driving systems and safety operators contribute to road safety. Additionally, clarifying the operational scope of different ARS will improve their <em>perceived ease of use</em> and acceptance.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103360"},"PeriodicalIF":4.4,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010543","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":"Impact of temporal, spatial, and roadway factors on driver overrides in Level 2 automation: A bivariate binary probit model analysis","authors":"Swastika Barua ,&nbsp;Mahmuda Sultana Mimi ,&nbsp;Syed Aaqib Javed ,&nbsp;Reuben Tamakloe ,&nbsp;Subasish Das","doi":"10.1016/j.trf.2025.103356","DOIUrl":"10.1016/j.trf.2025.103356","url":null,"abstract":"<div><div>Vehicle automation enhances efficiency and safety by minimizing human intervention through advanced systems. Level 2 (L2) automation, manages steering, acceleration, and braking, still requires driver engagement and attentiveness. While these systems can improve driving, they may also lead to complacency and distraction, increasing crash risk. Override tendencies, shaped by driver experience and environmental conditions, remain a concern. This study aims to investigate these behaviours, specifically examining brake and acceleration actions taken within 2 s after the deactivation of L2 automation features. A bivariate binary probit model was applied to a focused subset of 47 out of 249 vehicles from an open-source L2 Naturalistic Driving Study (NDS) dataset, selected for their accessible vehicle network information, which enabled automated detection of L2 feature activation states. The analysis reveals that automation application at night significantly increases the likelihood of driver acceleration within two seconds following system deactivation. In contrast, the presence of curves on roadways leads drivers to adopt a cautious approach, characterized by increased braking and decreased acceleration shortly after L2 feature deactivation. On primary, secondary, and tertiary roads, there is a noticeable decrease in the likelihood of immediate acceleration post-deactivation. Furthermore, an extended period of hands-off wheel time before system deactivation correlates with an increased probability of acceleration within two seconds of deactivation. These findings underscore the need for policy frameworks that address the diverse factors influencing driver interaction with L2 automation, promoting enhanced training programs, system reliability improvements, and tailored safety regulations to optimize the integration of automated driving technologies.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"115 ","pages":"Article 103356"},"PeriodicalIF":4.4,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010537","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}