Travel Behaviour and Society最新文献

{"title":"The effects of a real-time public transport information app on travel behaviour, traffic levels and the environment","authors":"Bastian Henriquez-Jara ,&nbsp;Jacqueline Arriagada ,&nbsp;Kimberly Montenegro ,&nbsp;Alejandro Tirachini ,&nbsp;Marcela Munizaga","doi":"10.1016/j.tbs.2025.101024","DOIUrl":"10.1016/j.tbs.2025.101024","url":null,"abstract":"<div><div>Advanced Traveller Information Systems (ATIS) have been shown to improve travel satisfaction and to make public transport more attractive, but their effect on traffic, travel behaviour, and environmental externalities remains an open question. Addressing these questions is key to determining the impact of policies supporting ATIS in sustainability outputs. In this paper, we study the case of <em>Red</em>, a nationwide real-time public transport mobile application in Chile. Through a survey conducted on the app, we analyse the effects that the use of the app has on modal choice, public transport demand, vehicle kilometres travelled (VKT) and environmental externalities. One of the surveys questions was the counterfactual mode: we asked participants which mode they would have used in their latest trip if they did not have access to the app. Contrasting this with the revealed mode used in the latest trip, allowed us to estimate the modal substitution rate. We performed Monte Carlo simulations to estimate the <em>Red</em> effect on total VKT and environmental pollution. We find that: (i) when using <em>Red</em>, perceived waiting time decreased and personal security improved, (ii) 23.5% of the <em>Red</em> users changed their travel behaviour: 10.5% changed travel mode change and 13.6% chose another bus route or bus stop because of using <em>Red</em> (iii) urban buses gain and lose passengers (3:2 ratio, with a net increase in demand), competing mainly with shared taxis and ride-hailing, (iv) the induced demand for public transport is 1.1%, (v) the app reduces total VKT (probability <span><math><mrow><mi>P</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>99</mn></mrow></math></span>), and <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions (88%), and (vi) variation on local air pollutant emissions depends on vehicles environmental standards, decreasing only under high standards (Euro VI). Our method was applied to the case of an ATIS app, but is suitable to analyse the sustainability effects of any policy that increases public transport demand.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101024"},"PeriodicalIF":5.1,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886777","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":"Comparisons of built environment effects on the integration of dockless bike-sharing and metro transit across commuting scenarios: A user ID-based clustering identification method","authors":"Wenlong Dai ,&nbsp;Xuewu Chen ,&nbsp;Jiang Ning ,&nbsp;Wendong Chen","doi":"10.1016/j.tbs.2025.101047","DOIUrl":"10.1016/j.tbs.2025.101047","url":null,"abstract":"<div><div>Dockless bike-sharing is an effective strategy for addressing the first- and last-mile travel problem in connecting with metro systems. Most existing studies simplified the estimation of transfer behaviors and considered integrated trips as a single category when analyzing the impact of the built environment. This increases the possibility of misestimating integrated trips and instability of built environment effects. Drawing on the bike-sharing project in Nanjing, this study employs a spatio-temporal clustering method to categorize integrated trips into four commuting scenarios based on the relationship between commuters’ residence/workplace locations and metro stations. Gradient Boosting Regression Tree models are subsequently constructed to explore the varying influence of the built environment on integration in these scenarios. The results indicate that:(1) Compared to the evening, integrated trips are more frequently observed in the morning for commuting purposes. (2) Over 30 % of integrated trips are situated beyond 50 m from metro entrances, indicating resistance to the combination of these two modes. (3) The impact of population density shows an inverted U-shape in the metro to workplace scenario. (4) shopping facilities and mixed land use solely exert a stimulating effect in the metro to residence scenario. (5) Both areas in proximity to the city center and situated more than 16 km away exhibit lower integrated trips. These findings provide a better understanding of the specific scenarios and ranges in which built environment variables influence the integration of dockless bike-sharing and metro systems.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101047"},"PeriodicalIF":5.1,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886778","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 multimodal travel choices through MGWR: insights from the Ankara-Istanbul corridor","authors":"İsmail Adalıoğlu ,&nbsp;Murat Ergün","doi":"10.1016/j.tbs.2025.101045","DOIUrl":"10.1016/j.tbs.2025.101045","url":null,"abstract":"<div><div>This study examines multimodal transportation choices along the high-demand Ankara–Istanbul corridor using Multiscale Geographically Weighted Regression (MGWR) to capture spatial heterogeneity in travel behavior. Focusing on total travel time as the dependent variable, the analysis incorporates access and trip durations for buses, high-speed rail, and air travel, excluding private vehicle use. The MGWR framework reveals four key findings: (1) Terminal access time is a crucial determinant, with shorter access durations favoring specific modes; (2) Socio-economic factors significantly influence mode choice, as higher-income travelers predominantly opt for air travel, while older individuals demonstrate a preference for bus services; (3) Weather conditions and travel frequency exhibit spatially varying effects, with frequent travelers showing a strong inclination toward rail transport; and (4) The accessibility gap between Ankara and Istanbul underscores the need for targeted infrastructure improvements, particularly in airport and rail connectivity. These findings highlight the importance of spatially adaptive policy interventions. Enhancing rail accessibility in Ankara and optimizing airport connectivity in Istanbul could mitigate regional disparities in travel efficiency. Overall, the results underscore the necessity for spatially nuanced policy interventions and demonstrate the utility of MGWR in formulating integrated, user-centric multimodal transportation strategies.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101045"},"PeriodicalIF":5.1,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882665","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":"Walking in the city of footbridges: Sense of community, subjective walkability and walking habits in a layered neighborhood","authors":"Ho-Yin Chan ,&nbsp;Umer Mansoor ,&nbsp;Junbiao Su ,&nbsp;Anthony Chen","doi":"10.1016/j.tbs.2025.101049","DOIUrl":"10.1016/j.tbs.2025.101049","url":null,"abstract":"<div><div>This paper explores the sense of community (SoC) in Tsuen Wan, Hong Kong, an urban area where layered pedestrian networks shpae patterns of physical and social connections. It examines how Tsuen Wan’s network of footbridges and sidewalks relates to different walking habits, perceived walkability and SoC. Based on a questionnaire survey conducted among commuters and generalized structural equation modeling (GSEM), the study identifies patterns in how these urban infrastructures correspond with community dynamics. The findings show that frequent leisurely walking on sidewalks is positively linked to subjective walkability but lower reported SoC. However, spending more time on leisurely walks on sidewalks shows a positive association with SoC, suggesting that time spent, rather than frequency, may be more relevant to feelings of community connection. In contrast, both the frequency and duration of utility walking, whether on footbridges or sidewalks, are negatively associated with subjective walkability and SoC. The study also highlights that gender and income significantly are associated with SoC, with males and higher-income individuals reporting stronger SoC and greater walkability satisfaction. This pattern points to the potential importance of social and economic capital, as well as safety perceptions. Additionally, local Hongkongers exhibit a higher SoC despite walking less for leisure, possibly reflecting the role of strong social and network capital in maintaining community bonds even with fewer casual interactions. This research contributes to the SoC and transportation literature by emphasizing both the mobility and social functions of urban streets. It underscores the need for urban planning that supports both transient and sustained social interactions, recognizing the importance of diverse, mobile experiences that underpin a dynamic and inclusive sense of community.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101049"},"PeriodicalIF":5.1,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879384","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":"Unravelling the multiple effects of multilevel neighborhood characteristics on traffic crash risk from a spatiotemporal heterogeneity perspective","authors":"Jian Liu ,&nbsp;Ketong Shen ,&nbsp;Xintao Liu ,&nbsp;Changbin Wu","doi":"10.1016/j.tbs.2025.101044","DOIUrl":"10.1016/j.tbs.2025.101044","url":null,"abstract":"<div><div>Although extensive research has explored the relationship between traffic crashes and neighborhood factors, the multiple effects—global, local, and interactive—of these factors on traffic crash risk (TCR) remain unclear. This study addresses this gap by developing a comprehensive analytical framework that integrates detailed crash data with sociodemographic, macroscale built environment (BE), and microlevel street environment (SE) factors. Using optimal parameter geographic detectors (OPGD) and multiscale geographically weighted regression (MGWR), we systematically explore the spatiotemporal heterogeneity and interaction effects of neighborhood factors on TCR in Hong Kong. The results reveal that BE and SE factors exert a stronger and more direct influence on TCR than traditional sociodemographic variables, with significant spatiotemporal variations. Specifically, fire hydrant and intersection density, as well as visual complexity, display strong localized effects, while factors such as street greenery and life facility density exhibit stable global patterns. Furthermore, interaction analysis uncovers nonlinear synergies, with certain factor combinations—such as healthcare facility and intersection density—substantially amplifying nighttime TCR. These findings enhance the theoretical understanding of TCR and provide policymakers with data-driven insights for developing spatiotemporal adaptive traffic safety strategies, ultimately fostering safer and more resilient urban environments.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101044"},"PeriodicalIF":5.1,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876606","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 novel pattern recognition technique to characterize multi-day shopping and entertainment trip activities","authors":"Md Ashraful Imran,&nbsp;Kate Hyun","doi":"10.1016/j.tbs.2025.101035","DOIUrl":"10.1016/j.tbs.2025.101035","url":null,"abstract":"<div><div>The driving force behind individuals’ travel behavior is closely linked to the need to engage in various activities, such as working, shopping, and entertainment. While the importance of shopping and entertainment activities is well-documented in activity-based modeling research, there is no existing literature specifically addressing different shopping activities and entertainment trips over long time periods, such as an entire week, with a granular level of investigation. This study introduces a novel framework using comprehensive pattern recognition modeling, aiming to identify households’ level weekly shopping and entertainment trip activity patterns and to identify their representative patterns. Utilizing data from the 2019 Puget Sound Regional Household Travel Survey, the one-week activity patterns are split into 336 30-minute intervals. Each interval is comprised of information on trip activity types, duration, and start time. Pattern complexity of activity sequences in the dataset is recognized using the two-staged clustering process involving affinity propagation (AP) and k-means algorithms, which results in six unique clusters of homogeneous weekly activity patterns. These clusters exhibit a heterogeneous diversity in the temporal distribution of trip activity durations and significant differences in a variety of sociodemographic variables. Moreover, using sequence alignment techniques, we identified the representative trip activity pattern of the households in each cluster. Notably, younger individuals tend to shop on weekends, while older adults (age 65+) maintain consistent daily shopping habits. Households with higher incomes and vehicle access typically shop midweek, whereas a significant portion of high-income households without vehicles opt for Monday shopping. This comprehensive analysis highlights the intricate relationship between recreational travel behavior and sociodemographic factors, shedding light on nuanced patterns of activity engagement over extended time periods.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101035"},"PeriodicalIF":5.1,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865030","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":"Examining autonomous vehicle adoption: A media-based perception and adoption model","authors":"Ali Vafaei-Zadeh ,&nbsp;Tan Jing Yi ,&nbsp;Haniruzila Hanifah ,&nbsp;Davoud Nikbin ,&nbsp;Seyed Amirhossein Shojaei","doi":"10.1016/j.tbs.2025.101041","DOIUrl":"10.1016/j.tbs.2025.101041","url":null,"abstract":"<div><div>The primary goal of this study was to explore the factors that influence customers’ intentions to adopt autonomous vehicles (AVs). This research aimed to conceptualize behaviors related to AV adoption by utilizing the media-based perceptions and adoption model (MPAM) as a theoretical framework. 307 Malaysians with driver’s licenses and at least eighteen years old were the respondents of this study and data were statistically analyzed using PLS-SEM and fsQCA which are recognized as linear and non-linear approach respectively. The results from PLS-SEM indicate that social media (SM) has a positive impact on customers’ trust and subjective norms (SN). Trust subsequently affects perceived usefulness (PU), while subjective norms positively influence both perceived usefulness and perceived enjoyment (PEN) and negatively impact perceived risk (PR). Additionally, the findings confirm that the intention to adopt autonomous vehicles (IAV) is significantly influenced by perceived usefulness and enjoyment. However, there was no significant relationship between perceived risk and the intention to adopt autonomous vehicles. fsQCA, on the other hand, identified eleven combinations of conditions that effectively generate a high level of Autonomous Vehicles (AVs) adoption intention. Moreover, fsQCA uncovered two key antecedents perceived enjoyment and perceived usefulness which were found to be necessary conditions for the development of most combinations leading to a high level of AVs adoption intention. Hence, fsQCA complements PLS-SEM and provides deeper insights, thereby enhancing the accuracy of this study’s findings. Consequently, the results of this study are applicable to all stakeholders involved in policy formulation and implementation for AVs development in developing economies.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101041"},"PeriodicalIF":5.1,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870190","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":"Key factors of independent active school travel in Chiba, Japan: Focusing on crime safety and community initiatives","authors":"Erli Zeng ,&nbsp;Kimihiro Hino ,&nbsp;Akane Bessho","doi":"10.1016/j.tbs.2025.101036","DOIUrl":"10.1016/j.tbs.2025.101036","url":null,"abstract":"<div><div>Active school travel, as well as its independence, is crucial for children’s physiological and psychological development. Despite the well-documented benefits, children’s independent and active school travel is declining in many countries, largely due to parental safety concerns. While previous studies often explore the dimensions of activeness and independence in school travel separately, this research examines these interconnected behaviors in parallel. It focuses on identifying environmental factors—particularly those related to crime safety—that influence four distinct school travel routines: independent active, independent inactive, dependent active, and dependent inactive. In November 2020, an online survey was conducted targeting parents of elementary school children in Chiba, Japan. A multinomial logistic regression was performed with 1,452 valid responses to examine the relationships between the sociodemographic characteristics, social and built environment variables, as well as the potential interactive factor, on independent active school travel in Japan, where this practice remains common. The results showed that most children (79.2%) walked to school independently, with negligible gender-based disparities. Higher perceived safety from crime was positively associated with independent active school travel, and children in areas with community-based supervision were more likely to travel independently. Although the respondents’ participation in crime prevention activities was not directly associated with the school travel routine, it significantly moderated the relationship between perceived crime safety and independent active travel to school. In disadvantaged areas where parental perceptions of safety were less favorable, their voluntary participation could facilitate children’s recommended journey. These findings underscore the pivotal role of crime safety, encompassing both subjective parental perceptions and objective presence of community-based supervision, in promoting independent active school travel. This paper emphasizes the importance of sustaining and expanding such initiatives across Japan to create safe commuting environments for children, while fostering their independence and active development within a supportive, child-friendly setting.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101036"},"PeriodicalIF":5.1,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848072","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":"Forecasting demand fluctuations of public bus transit during special events and adverse weather conditions through smart card data analysis","authors":"Behzad Rahmani,&nbsp;Abolfazl Mohammadzadeh Moghaddam,&nbsp;Mojtaba Maghrebi","doi":"10.1016/j.tbs.2025.101033","DOIUrl":"10.1016/j.tbs.2025.101033","url":null,"abstract":"<div><div>The demand for public transportation is influenced by various factors daily, creating significant challenges for managing the fleet. This study aims to examine the demand for bus fleets in Mashhad, Iran, under different weather conditions and special events. Big data from 13 municipal districts collected via smart cards during the one-year period spanning from November 1, 2021, to December 1, 2022, was analyzed. The demand volume was modeled using the seasonal autoregressive integrated moving average (SARIMA) model in conjunction with the Ljung-Box approach. Initially, the data was visualized, and then differential approaches and logarithmic transformations were employed for modeling after identifying the seasonal effect and achieving stationary mean and variance. Extensive smoothing was also utilized to compare the performance of the estimated models. Dynamic regression analysis of time series with SARIMA errors was employed to investigate the impact of temperature, rainfall, snowfall, and special days on passenger demand. The study indicated that demand fluctuations are associated with the district’s outlined land use and cultural and demographic factors under varying weather and special day conditions. Moreover, the findings affirmed that passenger behavior is intricate and localized. After analyzing the factors, it was noted that rainfall impacts the demand for the public transportation system, leading to an 8% decrease. Moreover, this reduction escalates to 37% during snowfall. However, temperature changes have minimal influence and may not merit attention. There is a projected 46% decline in bus service demand among passengers on special occasions.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101033"},"PeriodicalIF":5.1,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838654","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":"Where is morality on wheels? Decoding large language model (LLM)-driven decision in the ethical dilemmas of autonomous vehicles","authors":"Zixuan Xu ,&nbsp;Neha Sengar ,&nbsp;Tiantian Chen ,&nbsp;Hyungchul Chung ,&nbsp;Oscar Oviedo-Trespalacios","doi":"10.1016/j.tbs.2025.101039","DOIUrl":"10.1016/j.tbs.2025.101039","url":null,"abstract":"<div><div>Large Language Models have attracted global attention due to their capabilities in understanding, knowledge synthesis, and generating contextually relevant responses, mimicking certain aspects of human reasoning. Although LLMs have demonstrated feasibility in performing autonomous driving tasks in simulated and real-world environments, little is known about their safety and ethical decision-making. To address these questions, we propose a novel framework for evaluating and interpreting the ethical decision-making mechanism of LLM-driven autonomous vehicles. Our study investigates the ethical dilemma of prioritizing saving pedestrians or passengers inspired by the Moral Machine Experiment. We used a stated preference survey to include factors of group size, age, gender, fatality risk, and pedestrian behavior to create 13,122 choice scenarios (a full factorial design) to analyze responses from advanced LLMs, including the GPT-4 series models from OpenAI and Mistral-Large from Mistral AI. Our findings reveal significant differences in the decision-making process and preferences for saving road users among these LLMs. Using a binary logit model to interpret GPT-4′s decisions, we found that the estimated number of deaths, age, and gender significantly affect the model’s choices. The decision tree method was also applied to analyze LLMs’ decision-making processes, uncovering potential ethical standards and conditions considered by the models. This study provides valuable insights into ethical considerations in AI systems and thus facilitates the responsible development of AI in autonomous vehicles.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 101039"},"PeriodicalIF":5.1,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834110","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}