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

{"title":"Perception of cyber attacks on automated vehicles and its influence on road sharing and ridership: Insights of the US perspective from a 2021 nationwide survey","authors":"Abdallah Kinero ,&nbsp;Francisca Kasubi ,&nbsp;Ahmed Hossain ,&nbsp;Subasish Das ,&nbsp;Boniphace Kutela","doi":"10.1016/j.trf.2025.03.008","DOIUrl":"10.1016/j.trf.2025.03.008","url":null,"abstract":"<div><div>As transportation enters into the automation phase, the likelihood of cyber-attacks increases. Such a rise in cyber-attacks can be an obstacle to widespread vehicle automation and the use of automated vehicles (AVs). Understanding people’s perception of cyber-attacks on AVs and the impact of the perception of cyber-attacks on ridership and sharing the road with AVs have become important for widespread automation. Regardless of its importance to the ridership of AVs, little effort has been exerted to understand the influence of cyberattacks on the use and adoption of AVs. This study uniquely contributes by identifying key demographic factors such as age, education, income, political ideology, and geographic location that influence perceptions of AV cybersecurity risks. These perceptions are linked to actual behavioral outcomes like ridership and road-sharing with AVs. This study applied Bayesian Networks to the nationwide data the Pew Research Center collected in November 2021. Older individuals are found to be more likely to believe AVs are vulnerable to cyber-attacks, while higher-educated, higher-income, and metropolitan residents tend to feel more secure about AV safety when it comes to cybersecurity threats. Importantly, the perception of cyber-attacks affects behavior differently: those with higher education and income who perceive AVs as vulnerable are less likely to ride in them, while older residents are less willing to share the road with AVs. These insights offer valuable direction for policymakers to design targeted educational campaigns to improve public trust and encourage broader AV adoption.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 264-278"},"PeriodicalIF":3.5,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637165","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 naturalistic driving behavior and risk events across concussion recovery","authors":"Kumiko Hashida ,&nbsp;Julia Drattell ,&nbsp;Robert Lynall ,&nbsp;Hannes Devos ,&nbsp;Russell Gore ,&nbsp;Julianne Schmidt","doi":"10.1016/j.trf.2025.02.017","DOIUrl":"10.1016/j.trf.2025.02.017","url":null,"abstract":"<div><div>Driving simulator studies show that individuals with acute concussion present notable alterations in driving performance and perform better as recovery progresses. Although driving simulators create a safe environment and are capable of immersing individuals in realistic driving scenarios, they fail to capture daily naturalistic driving behavior throughout concussion recovery. Therefore, the purpose of the study was to describe naturalistic driving behaviors and risk events in individuals with concussion, relative to the control group. Twelve individuals with concussion and 17 non-concussed controls installed a GPS sensor in their personal vehicle for a 14-day period. We compared driving behavior (total distance driven, total duration driven, average speed, and number of trips taken per day) and risk events (number of hard brakings and sudden accelerations) captured between groups. Hedge’s g and linear mixed regression models were used to compare driving behavior and risk events. Individuals with concussion appeared to drive less and slower prior to day 3 post-concussion but displayed similar driving behavior after day 3 of post-concussion, relative to the control group. Additionally, we observed a pattern that the concussion group drove slower than the control group across concussion recovery. Our study provides preliminary evidence that suggests a need for a return to driving strategy to ensure the safety of individuals with concussion.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 211-216"},"PeriodicalIF":3.5,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601543","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":"Effect of Traffic Sign’s Information Supply Speed on Driver Performance at Tunnel Entrances","authors":"Yanqun Yang ,&nbsp;Xinli Wu ,&nbsp;Danni Yin ,&nbsp;Said M. Easa ,&nbsp;Xinyi Zheng","doi":"10.1016/j.trf.2025.03.005","DOIUrl":"10.1016/j.trf.2025.03.005","url":null,"abstract":"<div><div>The entrance zones of highway tunnels present a visually complex environment, often requiring multiple traffic signs to ensure driving safety. However, excessive information or improperly positioned traffic signs may cause cognitive overload, hinder their ability to adapt to changing driving conditions and compromise traffic safety. This study aims to assess the effect of traffic signs information supply speed (TSISS), which considers factors such as traffic sign information (TSI), combined installation and spacing of traffic signs, and speed limits on the road, on driving performance and CL. The study collected four types of performance data: eye movement, electroencephalogram (EEG), driving behavior, and subjective cognitive load (SCL). A driving simulator experiment used six TSISSs at the highway tunnel entrance zone: 0.333, 0.400, 0.500, 0.600, 0.667, and 0.833 items/s. An “item” is an independent directive or command of traffic signs. The results showed that as the TSISS increased, pupil area, scan rate, θ wave absolute power, longitudinal acceleration, steering wheel angle, and SCL significantly increased. In contrast, blink frequency, α wave absolute power, and vehicle longitudinal speed decreased. When the TSISS did not exceed 0.600 items/s, the efficiency values calculated by the data envelopment analysis model were high (more than 0.950). However, when the TSISS exceeded 0.600 items/s, the efficiency significantly decreased (below 0.850). Based on these findings, 0.600 items/s is recommended as the optimal threshold for TSISS at highway tunnel entrances. These findings can help evaluate the rationality and effectiveness of traffic sign placement at tunnel entrances, providing essential theoretical bases and practical guidelines for optimizing the overall design of highway traffic signs.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 217-237"},"PeriodicalIF":3.5,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601544","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":"Identifying driving profiles after take over request in automated vehicles at SAE levels 2 and 3","authors":"Marios Sekadakis ,&nbsp;Sandra Trösterer ,&nbsp;Peter Moertl ,&nbsp;George Yannis","doi":"10.1016/j.trf.2025.03.007","DOIUrl":"10.1016/j.trf.2025.03.007","url":null,"abstract":"<div><div>Automated Driving (AD) has the potential to significantly reshape the transportation industry by improving safety, efficiency, and user comfort and acceptance. This research investigates driver behaviors during Take Over Requests (TORs) in automated vehicles at SAE Levels 2 and 3 using the HADRIAN Human-Machine Interface (HMI), designed to enhance driver support through real-time feedback and countdown displays. Analysis included clustering to develop distinct driving profiles based on key measurements collected through a driving simulator experiment, such as acceleration, deceleration, and speed, offering a deep understanding of driver behavior in responses to TORs. Three primary driving profiles were identified: “Passive driving and slow TOR response”, “Nervous driving and moderate TOR response”, and “Normal driving and quick TOR response”. This study also provides specific insights for each automation level, identifying profiles of driver behaviors at both SAE Levels 2 and 3. Results reveal that the nervous driving profile, although less frequent, poses significant safety implications due to higher deceleration rates and variability in speed and deceleration. Additionally, the study highlights that Non-Driving Related Tasks (NDRTs) increase the need for longer Take Over Time (TOT), with greater variability observed at higher automation levels, making accurate estimation of required TOT more challenging. The HADRIAN HMI is shown to positively impact driver performance by increasing TOT, allowing drivers more time to transition from automated to manual control comfortably. These insights can inform the design of more adaptive HMI systems, enhance real-time feedback mechanisms, and improve driver training programs to ensure safer transitions during TORs.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 250-263"},"PeriodicalIF":3.5,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increasing drivers’ intentions to use Intelligent speed Assistance: A randomised controlled trial of a theory of planned behaviour-based intervention","authors":"Özgün Özkan ,&nbsp;Richard Rowe ,&nbsp;Paul Norman ,&nbsp;Marianne Day ,&nbsp;Damian Poulter","doi":"10.1016/j.trf.2025.03.003","DOIUrl":"10.1016/j.trf.2025.03.003","url":null,"abstract":"<div><div>Technological advances can provide an opportunity to reduce road traffic crashes.Intelligent Speed Assistance (ISA) is one technology that is increasingly available in modern vehicles. The full realisation of ISA’s safety potential is contingent upon the extent to which drivers choose to drive with the system turned on. Based on the theory of planned behaviour, we designed a brief online intervention (comprising a leaflet and animation) to strengthen intention to use ISA that could be presented to drivers when purchasing an ISA enabled vehicle. A randomised controlled trial with a sample of 1029 participants showed that the intervention had a small-to-medium sized effect in strengthening intention to use ISA in drivers who do not have ISA installed in the vehicle they usually drive compared to those in an active control condition. This effect remained significant one week and one month after the intervention. Further analysis revealed that the effect of the intervention was partially mediated by attitudes toward ISA use, underpinned by changes in in behavioural beliefs about the advantages and disadvantages of turning ISA on. The results support the use of our freely available intervention to encourage drivers to voluntarily turn ISA on when purchasing an ISAenabled vehicle.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 238-249"},"PeriodicalIF":3.5,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"“It’s just another car driving” − Perceptions of U.S. residents interacting with driverless automated vehicles on public roads","authors":"S. Nordhoff ,&nbsp;M. Hagenzieker ,&nbsp;Y.M. Lee ,&nbsp;M. Wilbrink ,&nbsp;N. Merat ,&nbsp;M. Oehl","doi":"10.1016/j.trf.2025.01.024","DOIUrl":"10.1016/j.trf.2025.01.024","url":null,"abstract":"<div><div>Driverless, SAE Level 4 automated vehicles (AVs)—vehicles operating without on-board human operators—have become operational in some cities in the U.S. The driving style and behaviors of AVs can induce changes in the behavior of road users interacting with AVs in traffic. Prior research has not collected data from road users residing in areas in which AVs are deployed and who have solid experience with AVs by regular interactions with them. As a result, a comprehensive and rich analysis of road users’ responses to AVs in traffic based on solid experience and the underlying reasons is missing. The two main research questions of this study are: 1) How <em>do</em> road users respond to AVs in traffic? and 2) Which factors affect road users’ responses to AVs in traffic? Semi-structured interviews were conducted with individuals residing in U.S. cities in which driverless AVs are deployed to explore <em>how</em> and <em>why</em> road users respond to driverless AVs in traffic. Content analysis was applied to manually identify themes in the data, complemented by using large language models. We also computed Spearman rank-order correlations to determine significant associations between the sub-themes. The most common road user behaviors were being more cautious around AVs, letting the AV pass and waving and gawking at them. Road users took advantage of the capabilities of AVs, cutting them off, slowing them down, or recklessly crossing the road in front. The AV safety operators typically monitored the operation of the AV, contributing to the perception that AVs are safe and predictable. Other participants reported incidences of inattentive drivers / human operators of Tesla’s SAE Level 2 partially automated driving system, being observed sleeping in the AV and rear-ending one of our participants. The most common external communication cue between road users and human drivers was eye contact, in some cases also when there was no operator present. Media reports / personal stories involving fatal accidents with AVs, particularly those linked to Tesla’s partially automated driving system, were linked to concerns about AV safety. Our study reveals significant associations between the behavior of AVs (e.g., AV being stuck) and road users’ changes in behavior, cognition (e.g., trust, distrust) and affect (e.g., perceived safety, frustration or anger). More trials with AVs on public roads can promote the interest and curiosity of road users, and their acceptance and use of AVs. The need for eHMIs and their effectiveness in promoting safer, more efficient, and comfortable interactions needs to be further investigated.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 188-210"},"PeriodicalIF":3.5,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of cognitive and physical traits with on-road driving performance in Brazilian older adults","authors":"Juliana Lima Quintas ,&nbsp;Isabela Oliveira Azevedo Trindade ,&nbsp;Ludmille Bezerra da Costa ,&nbsp;Luciana Lilian Louzada ,&nbsp;Wannessa Martins de Almeida ,&nbsp;Clayton Franco Moraes ,&nbsp;Einstein Francisco Camargos ,&nbsp;Patrícia Belchior ,&nbsp;Isabelle Gélinas ,&nbsp;Otávio Toledo Nóbrega","doi":"10.1016/j.trf.2025.03.004","DOIUrl":"10.1016/j.trf.2025.03.004","url":null,"abstract":"<div><div>The global population of licensed older drivers has experienced a notable increase. It is known that physical and cognitive changes are inherent to the aging process. Sensory, cognitive, and physical deficiencies among older adults are associated with poor driving performance and crashes. The impact of cognitive and physical impairments on the fitness to drive remains insufficiently understood in many scenarios, particularly in Brazil. This study evaluated physical and cognitive functions of community-dwelling Brazilian older drivers in domains relevant to driving, and associated these findings with the performance in a standardized on-road test in real urban traffic conditions. A sample of 138 volunteers (mean of 70.7 years) was tested for physical and cognitive functionalities, and then assessed by driving a pre-defined route of 10 km on urban roads. In this study, there was no association between physical functions and the general aptitude for driving, albeit a slower walking speed was found associated with more errors at intersections and lane merging. Regarding cognition, an overall poorer on-road driving performance was associated with lower scores in executive functions, especially in the time management ability, while errors in specific maneuvers were associated with declines in attention capacity, cognitive flexibility, and visuospatial organization ability.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 177-187"},"PeriodicalIF":3.5,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592156","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":"Does listening to music impact pedestrian safety while crossing the road? Investigating using the VR approach","authors":"Kudurupaka Vamshi Krishna,&nbsp;Pushpa Choudhary","doi":"10.1016/j.trf.2025.03.001","DOIUrl":"10.1016/j.trf.2025.03.001","url":null,"abstract":"<div><div>Pedestrian safety has become a significant concern in low-middle-income countries, and the increasing prevalence of technology-based distractions pose a major serious safety concern for the pedestrians. Despite being a prominent source of distraction among pedestrians, listening to music is very rarely studied for its potential impacts on pedestrian safety. This study aims to quantify the influence of listening to music on the probability of crash occurrence and explore the effects of other potential factors, including pedestrian demographics, habitual behaviours, and walking characteristics, on crash occurrences at signalised intersections. Forty-two pedestrians participated in the pedestrian simulator experiments in baseline and distraction conditions (listening to music). The binary logit model results indicated that listening to music had a<!--> <!-->multi-fold effect on<!--> <!-->crash occurrence due to induced auditory impairment. Paying attention to traffic assisted in avoiding crashes with vehicles. Specifically, increased head turns towards the right side of traffic decreased the probability of crash occurrence. In addition, the pedestrians who perceived that listening to music had no associated risk while crossing the road were at high risk of crash occurrence. The findings of this study emphasise the urgency of raising awareness about the safety implications of listening to music while crossing the road.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 162-176"},"PeriodicalIF":3.5,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580264","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":"Why does driver attention abnormally decrease? − An experimental analysis on the slack effect at highway tunnel entrances and exits","authors":"Yongzheng Yang ,&nbsp;Zhigang Du ,&nbsp;Francisco Alonso ,&nbsp;Mireia Faus","doi":"10.1016/j.trf.2025.03.002","DOIUrl":"10.1016/j.trf.2025.03.002","url":null,"abstract":"<div><div>This study explores the slack effect of highway tunnel entrances and exits and analyses its impact on traffic safety. Forty-five drivers were recruited to conduct vehicle experiments and to collect eye movement data while driving in highway tunnels. Analyze the variation patterns of various indicators in different areas of the tunnel, and explore the relationships among the light environment, visual adaptation, visual search and attention distribution. The study shows that at the tunnel exit during the day and at the tunnel entrance at night, the illuminance changes dramatically and the white-hole effect occurs. In the area affected by the white-hole effect, the risk of accidents is high, but the fixation frequency in the safety gaze areas (<em>P</em>_SGA) is low, and the driver’s attention is abnormally reduced. When the traffic environment transitions from poor to good, there is a slack effect due to optimistic psychological expectations, where drivers are psychologically relaxed and tend to ignore driving risks. Compared to open roads (during the day), tunnels are dim and enclosed, with a higher driving load and a negative driving attitude. When the driver sees the tunnel exit, they feel relaxed due to the slack effect, which triggers abnormal phenomena such as abnormal decrease in attention and abnormal acceleration. Similarly, the traffic environment at the tunnel entrance at night transitions from poor to good, and there is also a certain degree of slack effect. There is a concomitant phenomenon of slack effect and white hole effect, and the combination of abnormal decrease in attention (slack effect) and visual interference (white-hole effect) can seriously threaten tunnel traffic safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 145-161"},"PeriodicalIF":3.5,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580263","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":"Exploring the cognitive and behavioral factors impacting novice young drivers: Structural equation modeling of situational awareness, driving skills, reported crash history, and violations, using a driving simulator","authors":"Amin Faridiaghdam ,&nbsp;Hamid Mirzahossein ,&nbsp;Amir Abbas Rassafi ,&nbsp;Ali Khanpour","doi":"10.1016/j.trf.2025.02.028","DOIUrl":"10.1016/j.trf.2025.02.028","url":null,"abstract":"<div><div>The aim of this study is to analyze the relationships between situational awareness, driving skills, high-risk violations, and reported crash history among novice young drivers, and to determine the coefficients of these factors. Novice young drivers have the highest crash rates compared to older drivers, making road safety a critical issue. A total of 137 educated male and female drivers, aged 18 to 25 (87.6% participation rate), completed a demographic and crash history questionnaire and participated in a hazard perception scenario using the IKIU CI006 Full Advanced Driving Simulator. Structural Equation Modeling (SEM) was used to test the hypotheses and examine the relationships between the variables and dynamic vehicle data. The results show that a lack of driving skills (coefficient: 0.197) and poor situational awareness (coefficient: 0.804) significantly contribute to high-risk violations. Additionally, reduced situational awareness (coefficient: 0.692) directly impairs driving skills in challenging situations. Crash history is influenced by poor situational awareness (coefficient: 0.447) and negatively affects driving skills (coefficient: 0.335). These findings highlight the crucial role of situational awareness in preventing violations and improving driving skills. They suggest that training programs aimed at enhancing situational awareness could effectively reduce crash rates and promote safer driving behaviors among novice young drivers. The relationships identified through SEM provide a solid foundation for future research into targeted interventions that can mitigate risky behaviors and enhance overall road safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 130-144"},"PeriodicalIF":3.5,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562150","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}