Transportation Research Part A-Policy and Practice最新文献

{"title":"Tackling the social dilemma of autonomous vehicles using social norms","authors":"Gary Ting Tat Ng,&nbsp;Ching-Yun Lin","doi":"10.1016/j.tra.2026.104900","DOIUrl":"10.1016/j.tra.2026.104900","url":null,"abstract":"<div><div>When facing moral dilemmas, how should the algorithms of autonomous vehicles (AVs) be programmed? Past studies have documented that people endorsed AVs that minimize casualties (utilitarian AVs), but preferred to purchase AVs that protect passengers at all costs (egoistic AVs). This creates a social dilemma such that if the majority of AVs are programmed to prioritize protecting the passengers, there would be more casualties on the road. This study thus investigates what can be done to tackle this social dilemma. We drew from the literature on social norms and conducted three studies (total <em>N</em> = 1430) to examine the possibility of reducing people’s purchase intention of egoistic AVs through descriptive and injunctive norms. Study 1 examined the effect of presenting either supportive descriptive or injunctive norms. Studies 2a and 2b scrutinized people’s purchase intention of egoistic AVs when descriptive and injunctive norms are aligned or misaligned. Overall, we found that injunctive norms (but not descriptive norms) can reduce people’s purchase intention of egoistic AVs. Our findings provide valuable insights into future AV policies and contribute to the literature on social norms by delineating how aligned and misaligned social norms can affect behavioral intentions.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104900"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dedicated autonomous vehicle lane measure for development of autonomous vehicles: A system dynamics approach","authors":"Chujia Yu ,&nbsp;Simon Shepherd ,&nbsp;Yongling Gao ,&nbsp;Meng Xu","doi":"10.1016/j.tra.2026.104899","DOIUrl":"10.1016/j.tra.2026.104899","url":null,"abstract":"<div><div>Different from the stage of full use of human-driven vehicles (HDVs) or autonomous vehicles (AVs), the mixed use of AVs and HDVs represents a special transition stage. Interaction between HDVs and AVs presents a challenge for urban transport development, especially during the initial transition stage. Dedicated AV lane (DAVL) measure has been proposed for promoting development of AVs. This study focuses on the impact analysis of implementing DAVL measure under heterogeneous commuting conditions, which are characterised by varying automation levels and evolving AV market share. A system dynamics framework is developed to integrate the DAVL deployment with dynamic shifts in vehicle market adoption and commuting conditions. Specifically, macro-level commuting indicators are examined, i.e., average commuting speed and congestion degree, as AVs with varying automation levels progressively enter the market. Scenario analyses are based on the high-level autonomous driving demonstration zone in Yizhuang new city (YNC) of Beijing, they indicate that DAVL measure has a significant impact on AV market share, and positively influencing AV market development. However, with increasing AV market share, the initially superior commuting performance delivered by DAVL is gradually eroded, manifested by shrinking improvements in average commuting speed and weaker reductions in congestion degree. Moreover, the fixed DAVL approach results in uneven utilisation of road space, i.e., the congestion degree on regular lanes shifts from oversaturation toward underutilisation, whilst the congestion degree on the DAVL shifts from initial underutilisation toward saturation. Furthermore, using scenario analyses, this study examines a flexible DAVL measure that addresses the tension between rapid AVs development and the necessity of maintaining stable commuting conditions. Insights into the implementation of the DAVL measures are provided, which are expected to be applied in YNC and other urban contexts.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104899"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term lagged interactions between freight and passenger volumes in urban traffic: inter- and intra-modal effects with explainable machine learning","authors":"E. Amirnazmiafshar ,&nbsp;D.P. Song ,&nbsp;B. Kenny ,&nbsp;J.M. Wu ,&nbsp;B. Kulcsár ,&nbsp;Y.Z. Liu ,&nbsp;C. Olaverri-Monreal","doi":"10.1016/j.tra.2026.104927","DOIUrl":"10.1016/j.tra.2026.104927","url":null,"abstract":"<div><div>Urban transport systems face increasing complexity as freight and passenger flows compete for limited road capacity. While multimodal forecasting methods have progressed, short-term interactions between vehicle classes remain underexplored, particularly in real-world operational settings. This study addresses that gap by examining whether recent freight or passenger volumes are significantly associated with current traffic conditions across modes. Using 6,003 hourly records from Liverpool, UK, we develop an interpretable machine learning framework combining K-means clustering, XGBoost classification, and the DALEX explainability toolkit. Results show that one-hour lagged freight volume significantly improves the classification of current passenger traffic states, while the reverse effect is limited. Global feature importance and local interpretability analyses consistently identify freight volume as the most influential predictor. Partial dependence plots (PDPs) reveal a nonlinear inflexion point, where freight volumes exceeding roughly 500 vehicles per hour in this Liverpool case study are associated with reduced passenger flow. McNemar’s test confirms a statistically significant improvement, and robustness checks, including alternative lag structures, interaction terms, and reciprocal models, reinforce the stability of this finding. These insights offer practical value for short-term forecasting, corridor-level coordination, and longer-term multimodal planning. The observed directional asymmetry, wherein freight volumes more reliably predict passenger conditions than the reverse, highlights the potential benefits of incorporating freight data into real-time traffic management systems. More broadly, the study demonstrates how interpretable machine learning can uncover cross-modal dependencies and support the development of more integrated, responsive, and equitable urban mobility systems.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104927"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PREVENTing Pilot murder-suicide: A policy-oriented review","authors":"Sebastian Wandelt ,&nbsp;Yurou Zhang ,&nbsp;Oscar Oviedo-Trespalacios ,&nbsp;Xiaoqian Sun","doi":"10.1016/j.tra.2026.104904","DOIUrl":"10.1016/j.tra.2026.104904","url":null,"abstract":"<div><div>Pilot murder-suicides represent a critical and under-addressed challenge at the intersection of human factors, safety management, and intelligent transportation systems. Recent high-profile incidents–such as Mozambique Airlines Flight 470 (2013), Germanwings Flight 9525 (2015), China Eastern Airlines Flight 5735 (2022), and preliminary discussions around Air India Flight 171 (2025)–have underscored the urgent need for evidence-based prevention strategies that align with the evolving landscape of smart and automated aviation. While substantial primary research exists, the field lacks a comprehensive, policy-oriented synthesis that bridges psychological, operational, and technological dimensions. To address this gap, we consolidate the extant literature and introduce the PREVENT framework, a multidimensional, data-driven approach to mitigating pilot murder-suicide risks. The framework spans seven prevention domains, offering actionable insights for integrating mental health support, real-time risk monitoring, and human-centered design into next-generation aviation systems. By synthesizing empirical evidence and case studies, this review provides a roadmap for policymakers, transport authorities, and industry practitioners to enhance safety in intelligent aviation environments. We identify conceptual and empirical gaps to guide future research, emphasizing the need for interdisciplinary collaboration between behavioral science, engineering, and public policy to ensure safe, resilient, and human-focused smart transportation systems.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104904"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncovering Thematic correlations across Transportation Research journal series: Pitting human expertise against machine intelligence","authors":"Meng Zhao ,&nbsp;Shijie Chen ,&nbsp;Yanshuo Sun","doi":"10.1016/j.tra.2026.104901","DOIUrl":"10.1016/j.tra.2026.104901","url":null,"abstract":"<div><div>Transportation research plays a significant role in addressing complex societal challenges. The Transportation Research (TR) journal series, comprising six specialized parts A-F, mirrors the thematic breadth of transportation research but presents challenges for certain researchers in clearly delineating thematic boundaries between journals, which could lead to manuscript misalignment and unfortunate desk rejections. Despite the significance of these journals, a systematic analysis of thematic overlaps and distinctions across the TR series using text classification methods remains unexplored. To fill this gap, this study first applies the BERTopic model on 16,341 TR abstracts between 2010 and 2024 to derive the topic distribution of each journal. Three machine learning classifiers and one deep learning algorithm are then trained to classify abstracts accurately into the appropriate TR journal part. Additionally, the journal relationships are analyzed using novel quantitative metrics. A survey inviting 2400 active transportation researchers is conducted to understand the classification performance of human experts. The study finds significant thematic overlaps, especially between TR-B and TR-C, predominantly around driving safety and traffic control, whereas TR-F emerges with highly distinctive thematic clarity. The support vector classifier (SVC) achieves the highest accuracy. When evaluated with the same testing dataset, the SVC significantly outperforms human experts according to the survey results. We publish our machine learning-driven classification tool, which can be used in manuscript submission processes to enhance the accuracy of journal selection.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104901"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding urban adoption of AI‑driven cabs: a mixed‑method investigation in China","authors":"Sohaib Mustafa ,&nbsp;Qiang Wang ,&nbsp;Khalid Jamil ,&nbsp;Ferry Jie","doi":"10.1016/j.tra.2026.104890","DOIUrl":"10.1016/j.tra.2026.104890","url":null,"abstract":"<div><div>AI‑powered autonomous taxis promise to redefine urban mobility, yet consumer acceptance hinges on a nuanced interplay of technological, social, economic, and psychological factors. In this study, we employed a two‑phase, mixed‑method design. Phase<!--> <!-->1 comprised semi‑structured interviews with 40 Chinese consumers, generating rich thematic insights, such as the critical roles of perceived efficiency, trust in automation, and safety logic, alongside nuanced concerns about infrastructure, cost fairness, and technology anxiety. Phase<!--> <!-->2 applied an extended UTAUT2 framework using a hybrid PLS‑SEM and ANN approach (n = 764), quantitatively confirming that effort expectancy, trust in technology, and perceived safety are the strongest predictors of intention to use driverless cabs, while user experience, social validation, regulatory support, environmental commitment, and hedonic motivation also exert significant influence. Although facilitating conditions, price value, and technology anxiety did not attain statistical significance, qualitative narratives revealed their complementary relevance in shaping initial perceptions. Integrating both strands, we advance UTAUT2 by embedding context‑specific constructs, such as institutional confidence and ethical decision logic, into its theoretical fabric. Practically, our findings recommend targeted efforts to streamline the booking interface, enhance transparency through public performance dashboards, and leverage government pilot‑lane endorsements to bolster consumer trust. This research delivers a robust empirical foundation for stakeholders aiming to accelerate the uptake of driverless taxi services and contributes a versatile mixed‑method template for future studies in autonomous mobility.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104890"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling e-scooter route choices: Infrastructural preferences and intervention scenario analysis","authors":"Shuting Chen ,&nbsp;Zhejing Cao ,&nbsp;Xiaohu Zhang","doi":"10.1016/j.tra.2026.104921","DOIUrl":"10.1016/j.tra.2026.104921","url":null,"abstract":"<div><div>The e-scooters offer a flexible and sustainable alternative to traditional transport modes. To maximize its benefits, cities need strategic infrastructure enhancements. However, there is still a lack of research on how built environment factors affect e-scooter routing in a nonlinear manner, and how the nonlinearity may affect policy interventions. To bridge this gap, this study draws inspiration from three-factor theory to classify built environment attributes into eight types and analyze how bike lanes interact with these attributes to influence route preferences. By employing a perturbed utility route choice model, we examine infrastructural preferences of e-scooter routing from extensive GPS trajectories. Our results show that roads with high tree coverage and asphalt bike lanes see a generalized cost reduction of 28.6% compared to roads with moderate tree coverage and no asphalt bike lanes, while roads with low tree coverage increase 16.2% of generalized cost relative to the same reference road type. This highlights an asymmetric and nonlinear influence of built environment attributes on e-scooter route choices. Scenario simulation suggests that increasing tree coverage from moderate to high on roads with asphalt bike lanes or constructing new asphalt bike lanes on roads with high tree coverage are particularly effective in reducing generalized route costs. Our study offers a more nuanced understanding of infrastructural preferences in e-scooter route choices, and provides an analytic framework to enhance e-scooter adoption and inform policy-making to cater to future micro-mobility needs.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104921"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rail infrastructure and road use: Causal evidence from the Gotthard base tunnel","authors":"Hannes Wallimann,&nbsp;Widar Von Arx,&nbsp;Ann Hesse","doi":"10.1016/j.tra.2026.104922","DOIUrl":"10.1016/j.tra.2026.104922","url":null,"abstract":"<div><div>The opening of the Gotthard Base Tunnel, the longest railway tunnel in the world, marked a milestone in Swiss transport policy. The tunnel, a part of the New Rail Link through the Alps, serves as a key instrument of the so-called ”modal shift policy,” which aims to transfer transalpine freight traffic from road to rail. The reduction in travel time by train between northern and southern Switzerland raised expectations that a substantial share of tourist-oriented passenger traffic would also shift from car to rail, thereby reducing transport-related CO₂ emissions from tourism. In this paper, we conduct a causal analysis of the impact of the Gotthard Base Tunnel’s opening at the end of 2016 on the number of cars using the parallel Gotthard motorway section in the subsequent years. To this end, we apply the synthetic control and synthetic difference-in-differences methods to construct a synthetic Gotthard motorway section based on a weighted combination of other alpine road crossings (a so-called donor pool) that did not experience the construction of a competing rail infrastructure. In summary, our results reveal only a modest but statistically significant decline in the number of cars between the actual and the synthetic Gotthard motorway in the short run. Given the consistently strong and increasing demand for the new rail connection through the Gotthard Base Tunnel, we infer a substantial induced short-run demand effect resulting from the rail travel time savings.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104922"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heterogeneity in Women’s Nighttime Ride-Hailing Intention: Evidence from an LC-ICLV Model Analysis","authors":"Ke Wang ,&nbsp;Dongmin Yao ,&nbsp;Xin Ye ,&nbsp;Mingyang Pei","doi":"10.1016/j.tra.2026.104903","DOIUrl":"10.1016/j.tra.2026.104903","url":null,"abstract":"<div><div>While ride-hailing services offer increased travel flexibility and convenience, persistent nighttime safety concerns significantly reduce women’s intention to use them. Existing research often treats women as a homogeneous group, neglecting the heterogeneity in their decision-making processes. To address this gap, this study develops the Latent Class Integrated Choice and Latent Variable (LC-ICLV) model with a mixed Logit kernel, combined with an ordered Probit model for attitudinal indicators, to capture unobserved heterogeneity in women’s nighttime ride-hailing decisions. Based on panel data from 543 respondents across 29 provinces in China, the analysis identifies two distinct female subgroups. The first, labeled the “Attribute-Sensitive Group,” consists mainly of young women and students from first- and second-tier cities. Their choices are primarily influenced by observable service attributes such as price and waiting time, but they exhibit reduced usage intention when matched with female drivers, possibly reflecting deeper safety heuristics. The second, the “Perception-Sensitive Group,” includes older working women and residents of less urbanized areas. Their decisions are shaped by perceived risk and safety concerns; notably, high-frequency use or essential nighttime commuting needs may reinforce rather than alleviate avoidance behaviors. The findings underscore the need for differentiated strategies: platforms should tailor safety features and user interfaces by subgroup, policymakers must develop targeted interventions, and female users can benefit from more personalized risk mitigation strategies. This study offers empirical evidence to advance gender-responsive mobility policy and improve the inclusivity of ride-hailing services in urban nighttime contexts.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104903"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 relationship between e-shopping and goods delivery via transport superapps and daily time use: insights from Indonesian cities","authors":"Muhamad Rizki ,&nbsp;Tri Basuki Joewono ,&nbsp;Yusak Octavius Susilo","doi":"10.1016/j.tra.2026.104902","DOIUrl":"10.1016/j.tra.2026.104902","url":null,"abstract":"<div><div>Various information and communication technology (ICT) services, such as e-shopping and goods delivery, have transformed individuals’ daily activities by reshaping how people allocate their time. Within transport super-apps (TSAs), e-shopping and goods delivery are typically offered together but represent distinct services, with e-shopping involving online purchasing and goods delivery referring to the transport of items independent of a retail transaction. While most studies focus on how e-shopping and goods delivery impact physical activities like in-store shopping, this study explores how these services associated with broader individual time allocation across various activities and locations. This research uses TSAs which are multifunctional, in Indonesia as a case study and includes non-TSA users as a reference group. The study employs a one-week time-use and app-use diary from TSA users and non-users across four Indonesian cities, analysed with a multiple discrete–continuous extreme value model with inverse probability weights. The analysis suggests that shop and delivery services are associated with rebound effects, which influence how time is allocated across various activities and locations, and vary according to socio-demographic and residential characteristics. Increased use is associated with more time spent on at-home mandatory activities among workers and greater leisure participation among men and individuals of working age. In larger cities such as Jakarta, more frequent use of these services is associated with longer durations of out-of-home mandatory activities. Further, the results indicate that out-of-home TSA usage is associated with reduced time spent on in-home leisure and increased engagement in out-of-home leisure activities, suggesting that individuals who are already active outside the home may integrate digital services into their existing activity patterns. In contrast, in-home TSA usage is associated with lower participation in out-of-home activities, indicating that individuals who rely on in-home services may be less inclined to engage in activities outside the home. The relationships between service usage and time allocation appear to vary depending on whether the services are used at home or outside, highlighting the importance of locational context. The findings suggest that integrated mixed-use developments and the provision of local leisure spaces can better align daily activity patterns with the use of TSA services, reflecting how digital platforms reshape the organisation of activities and associated travel demand. At the same time, location-specific strategies, such as promoting targeted e-shopping adoption in smaller cities, expanding accessible in-store options in larger cities, and prioritising sustainable delivery technologies in megacities, are essential to manage rebound effects and decarbonise urban travel and logistics systems.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"206 ","pages":"Article 104902"},"PeriodicalIF":6.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}