Travel Behaviour and Society最新文献_第6页

Charging patterns and motives of electric vehicle drivers: Insights from Norway 充电模式和电动汽车司机的动机：来自挪威的见解

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-07-04 DOI: 10.1016/j.tbs.2025.101094

Junianna Zatsarnaja , Milad Mehdizadeh , Katharina Reiter , Alim Nayum , Trond Nordfjærn

{"title":"Charging patterns and motives of electric vehicle drivers: Insights from Norway","authors":"Junianna Zatsarnaja , Milad Mehdizadeh , Katharina Reiter , Alim Nayum , Trond Nordfjærn","doi":"10.1016/j.tbs.2025.101094","DOIUrl":"10.1016/j.tbs.2025.101094","url":null,"abstract":"<div><div>As the adoption of electric vehicles (EVs) grows, understanding charging behavior becomes important due to increasing charging demand and grid load. Based on a population-based survey with 1,005 Norwegian EV drivers, we uncover three classes of (revealed) charging behavior: daily convenient chargers, battery-exploiting seldom chargers, and occasional battery-friendly planners. The first class consists of EV drivers who typically use every opportunity to keep the battery level of their EV between 40 % and 100 % and charge mainly at home or work. The second class includes drivers who charge their EV 2–3 times per week or rarely, carry out charging according to their driving needs, wait until the battery level is low (<30 %), and charge at home or in public. By planning their charging needs, holding the battery at an optimal level of 30 %–80 %, conducting charging 4–5 times per week, and mostly at home, the third group reflects the most sustainable and battery-friendly behavior. Our findings revealed that EV drivers who are male, have longer EV driving experience, drive longer distances, are socially less persuadable, and do not seize the available potential to charge rarely, are more likely to be daily convenient chargers than battery-friendly chargers. Meanwhile, EV drivers with lower daily mileage, who perceive guidance from their charging apps as less helpful, find it easy to start charging at a low battery level and have a higher general risk propensity are more likely to be battery-exploiting seldom chargers than battery-friendly planners.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101094"},"PeriodicalIF":5.1,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144548957","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}

引用次数: 0

An integrated RISA-machine learning framework to enhance user satisfaction through quality assessment and prioritization of railway facilities 一个集成的risa -机器学习框架，通过铁路设施的质量评估和优先排序来提高用户满意度

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-07-04 DOI: 10.1016/j.tbs.2025.101091

Munavar Fairooz Cheranchery , Varsha Vijay

{"title":"An integrated RISA-machine learning framework to enhance user satisfaction through quality assessment and prioritization of railway facilities","authors":"Munavar Fairooz Cheranchery , Varsha Vijay","doi":"10.1016/j.tbs.2025.101091","DOIUrl":"10.1016/j.tbs.2025.101091","url":null,"abstract":"<div><div>The rise in private vehicle usage and resulting negative externalities calls for periodic service quality assessment and improvement of public transport in emerging countries. The present work introduces a novel, integrated RISA-ML (Revised Importance Satisfaction Analysis- Machine Learning) framework to prioritize railway stations and station facilities based on the need for improvement. While station facilities are prioritized using RISA, stations are prioritized based on the Level of Service (LOS) modelled based on ML techniques. The methodology, demonstrated with reference to six railway stations under Indian Railways, combines rigorous data-driven approaches with advanced machine learning techniques. The study identified critical intervention areas, with more than 50% of the facilities in most cases requiring immediate attention. Facilities such as digital information systems and infrastructure for differently abled passengers were emphasized as top priorities. Findings revealed that stations in capital cities, like Trivandrum, exhibited the highest deficiencies, while safety, security, and feeder systems were critical concerns across all stations. A standardized data collection template for LOS model development is presented, ensuring applicability across diverse contexts. Although various Machine learning models viz., Support Vector Regression, Random Forest, and eXtreme Gradient Boost (XGBoost) were applied and rigorously trained, Artificial Neural Network (ANN) emerged as the best fitting LOS model. ANN based feature importance revealed the prominent influence of digital boards, Wi-Fi, and accessibility facilities on LOS. The presented methodology provides actionable insights for systematic infrastructure improvement and offers a scalable solution to enhance passenger satisfaction not only in railway networks but also in other contexts.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101091"},"PeriodicalIF":5.1,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557606","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}

引用次数: 0

The paradox of post-pandemic travel: Reduced car travel but unabated congestion? Insights from Cambridge, UK 大流行后出行的悖论：汽车出行减少，但拥堵丝毫未减？来自英国剑桥的见解

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-06-25 DOI: 10.1016/j.tbs.2025.101082

Li Wan, Byron Huang

{"title":"The paradox of post-pandemic travel: Reduced car travel but unabated congestion? Insights from Cambridge, UK","authors":"Li Wan, Byron Huang","doi":"10.1016/j.tbs.2025.101082","DOIUrl":"10.1016/j.tbs.2025.101082","url":null,"abstract":"<div><div>Despite a marked decline in overall travel demand in Great Britain, some cities are experiencing unabated, if not worsened, traffic congestion. This study aims to investigate this paradox of post-pandemic travel through an in-depth case study of Cambridge, a city with a high proportion of highly-skilled professional employment in the UK. Using longitudinal traffic counts and car journey time data, we compare intra-day and intra-week travel demand patterns across four distinct periods between 2019 and 2024, controlling for monthly variation, school and university term, bank holidays, major public events, roadworks, traffic accidents and weather. Our model-based analysis finds that recent car and cycle demand in Cambridge remains at 11.6% and 15.8% below pre-pandemic levels, respectively, but the demand recovery has stabilised since 2022. Despite the overall reduction in travel demand, daily average journey time on key transport corridors in Cambridge has increased by 12.0% from 2022 to 2024, exemplifying the paradox of post-pandemic travel. We find that 1) the increase of average journey time is caused by worsening congestion at evening peaks and on Thursdays, with the former being the primary factor; 2) the increase of peak-time congestion is not associated with increasing demand across major modes of road transport (car, cycle, bus, van and taxi); and 3) the recent increase of journey time in Cambridge is thus likely to be caused by supply-side factors, notably the reallocation of road space for public and active modes and temporary road closures which affect overall road capacity. Important policy implications are drawn.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101082"},"PeriodicalIF":5.1,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472067","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}

引用次数: 0

Travel-based multitasking reframed? A latent class cluster analysis to identify travel time use styles 以旅行为基础的多任务处理重新定义？一个潜在的类聚类分析，以确定旅行时间的使用方式

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-06-24 DOI: 10.1016/j.tbs.2025.101085

Ana Luiza S. de Sá , Patrícia Sauri Lavieri , Jacek Pawlak

{"title":"Travel-based multitasking reframed? A latent class cluster analysis to identify travel time use styles","authors":"Ana Luiza S. de Sá , Patrícia Sauri Lavieri , Jacek Pawlak","doi":"10.1016/j.tbs.2025.101085","DOIUrl":"10.1016/j.tbs.2025.101085","url":null,"abstract":"<div><div>Multitasking has become ubiquitous due to expanded possibilities of activity engagement enabled by Information and Communication Technologies (ICTs) and as a strategy to deal with time pressures. In this context, travel time increasingly becomes a space–time locus for activities, including those that save out-of-trip time. This paper proposes that travel time use styles exist, that is, distinct patterns of engaging in travel-based activities. Such styles are uncovered by implementing a latent class cluster analysis of a dataset representing Australia’s Greater Melbourne and Geelong population. We consider activity transfer, multitasking, activity participation, and ICT-related information as indicators of these styles, with traveller characteristics and travel context variables predicting class membership. Four styles emerged: (1) <em>ICT-based effective multitaskers</em>, time-pressured young travellers engaging in multitasking, activity transfer, and multi-activity participation; (2) <em>Time-passers</em>, older travellers of non-passengerised modes who perform leisure activities to pass the time; (3) <em>Heavy work investors</em>, middle-aged, highly-educated, and high-earning workers; and (4) <em>Upkeepers</em>, primarily women and those currently not working. Our results confirm relationships among ICTs, multitasking, and activity transfer, showing how virtual accessibility enables simultaneous and fragmented activities; concomitantly, time pressures necessitate such behaviours. Our findings can serve a dual purpose. From the transport practice standpoint, they can guide vehicle internal space design and minimum ICT provision standards to suit expected travel time use styles. From the behavioural standpoint, they prompt a debate concerning welfare implications of transforming the nature of travel time use from “offline” to “online”, with the associated expectations concerning activity participation requirements and time pressure consequences.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101085"},"PeriodicalIF":5.1,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366856","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}

引用次数: 0

Evidence on e-scooter ownership and use in non-urban areas 非城市地区拥有和使用电动滑板车的证据

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-06-23 DOI: 10.1016/j.tbs.2025.101088

Tobias Dürhammer , Maria Juschten , Julia Schilder , Reinhard Hössinger

{"title":"Evidence on e-scooter ownership and use in non-urban areas","authors":"Tobias Dürhammer , Maria Juschten , Julia Schilder , Reinhard Hössinger","doi":"10.1016/j.tbs.2025.101088","DOIUrl":"10.1016/j.tbs.2025.101088","url":null,"abstract":"<div><div>Private e-scooters are under-researched, particularly outside urban areas. While shared e-scooters are mainly found in cities and are primarily used for short trips, private e-scooters appear better suited to replace long car trips across all regions, especially when integrated with public transport (PT). However, little is known about the ownership and use of private e-scooters, especially outside cities, due to data scarcity and the methodological challenge of reaching this dispersed population. We investigate the adoption of private e-scooters using the Diffusion of Innovations theory, drawing on a nationwide sample from Austria including both e-scooter owners and non-owners in urban and non-urban settings. We identify adopter characteristics using an ordered logit model. Results reveal contrasting relationships with travel alternatives: urban adopters own more cars, while non-urban adopters own more PT subscriptions and fewer cars compared to non-users in the respective areas. This indicates greater potential for car substitution in non-urban settings. Across both areas, typical adopters are middle-aged male workers with moderate educational levels who perceive e-scooters as practical and enjoyable. Usage patterns, derived from a travel diary of e-scooter owners, align with expectations: non-urban residents are more likely to use their e-scooter as PT feeders and car substitutes. Their lower car ownership rate compared to non-users will cause substantial additional savings. These findings underscore the need for targeted strategies to promote private e-scooter adoption and integration with PT, particularly in non-urban areas, to foster a more inclusive and less car-dependent transport system.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101088"},"PeriodicalIF":5.1,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338814","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}

引用次数: 0

Analysing the equity of dockless bike-sharing based on service-opportunity accessibility and multi-source urban data 基于服务机会可及性和多源城市数据的无桩共享单车公平性分析

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-06-21 DOI: 10.1016/j.tbs.2025.101089

Yongping Zhang , Zhanqiang Shi , Wu Xiao , Mengqiu Cao

{"title":"Analysing the equity of dockless bike-sharing based on service-opportunity accessibility and multi-source urban data","authors":"Yongping Zhang , Zhanqiang Shi , Wu Xiao , Mengqiu Cao","doi":"10.1016/j.tbs.2025.101089","DOIUrl":"10.1016/j.tbs.2025.101089","url":null,"abstract":"<div><div>Bike-sharing is a convenient and sustainable transport mode with significant potential for promoting green travel and improving accessibility. However, spatial inequities in bike-sharing services often prevent these benefits from being fully realised. While numerous studies have examined bike-sharing services from an equity perspective, most focus on accessing bike-sharing facilities but overlook users’ ability to reach their preferred urban destinations using shared bikes. To address this gap, this study introduces an enhanced accessibility model, namely, service-opportunity accessibility (SOA), a measure which incorporates the attractiveness and accessibility of urban opportunities for bike-sharing trips. Using the kernel density-based balanced floating catchment area (KDBFCA) method, we evaluate the equity of dockless bike-sharing services based on the utility they provide to users. Based on multi-source urban data, we apply this model to assess the equity of dockless bike-sharing in Ningbo, China. The results reveal spatial and demographic inequities, with disadvantaged groups, including those living in peripheral areas and non-local residents, experiencing lower levels of accessibility. These findings underscore the need for more inclusive urban transport policies to enhance the equity of dockless bike-sharing services.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101089"},"PeriodicalIF":5.1,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329619","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}

引用次数: 0

Decoding household multi-car transactions: A Bayesian belief network approach 解码家庭多车交易：贝叶斯信念网络方法

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-06-18 DOI: 10.1016/j.tbs.2025.101086

Yajie Yang, Soora Rasouli, Feixiong Liao

{"title":"Decoding household multi-car transactions: A Bayesian belief network approach","authors":"Yajie Yang, Soora Rasouli, Feixiong Liao","doi":"10.1016/j.tbs.2025.101086","DOIUrl":"10.1016/j.tbs.2025.101086","url":null,"abstract":"<div><div>Cars exert a substantial influence on people’s daily lives, shaping travel behaviors while playing a pivotal role in the sustainability of our living environment. As economies advance and more women join the workforce, households owning multiple cars have become increasingly common. It is believed that the recent advances in mobility tools such as shared cars and bikes as well as Mobility-as-a-Service have the potential to diminish the need for having a second car in the households in which more than one member possesses a driving license. Despite this, the real-world data suggest that buying a second car in households with more than one driving license is still an attractive solution. Understanding the determinants of buying an additional car is vital in devising policies aiming to lessen such interest and the accompanying externalities. This study develops a Bayesian belief network (BBN) model that encompasses households’ socio-demographics and their life events as well as built environment information to capture their interdependences in unraveling the influential factors of household multi-car transaction decisions. The population microdata from the Netherlands CBS (Census Bureau of Statistics) are utilized to train and test the BBN model. This study uncovers concurrent and lagged effects of life events on car transactions as well as the interaction effects between the household head and the partner’s car transaction decisions. The simulation results indicate that the proposed BBN model achieves a high prediction accuracy of over 83.6% for all transaction decisions.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101086"},"PeriodicalIF":5.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308035","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}

引用次数: 0

Research on prevention and control strategies for passenger group events due to flight delays based on multi-agent modelling 基于多智能体模型的航班延误旅客群体事件防控策略研究

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-06-18 DOI: 10.1016/j.tbs.2025.101077

Jia Yuan , Quan Shao , Jianhong Sun , Jiangao Zhang , Xiaolin Peng

引用次数: 0

Understanding the mechanisms by which residential relocation affects changes in cycling: A theory-building process tracing approach 理解住宅搬迁影响循环变化的机制：一种理论构建过程追踪方法

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-06-14 DOI: 10.1016/j.tbs.2025.101087

Caroline Kienast- von Einem , Derek Beach , Alice Reid , Jenna Panter

{"title":"Understanding the mechanisms by which residential relocation affects changes in cycling: A theory-building process tracing approach","authors":"Caroline Kienast- von Einem , Derek Beach , Alice Reid , Jenna Panter","doi":"10.1016/j.tbs.2025.101087","DOIUrl":"10.1016/j.tbs.2025.101087","url":null,"abstract":"<div><h3>Introduction</h3><div>Promoting cycling for both transport and leisure is a policy priority recognized for its potential to improve health. Life events, such as residential relocation, often trigger behavioural shifts in cycling. However, the complex mechanisms and interplay of factors influencing these changes remain not well understood.</div></div><div><h3>Methods</h3><div>This qualitative study explores the impact of relocation on cycling, using a novel theory-building process tracing approach to re-analyse 28 in-depth interviews conducted between 2008 and 2011 as part of the Cycling Cities and Towns (CCT) project in England.</div></div><div><h3>Results</h3><div>Three mechanisms are identified linking relocation to changes in cycling behaviour: physical changes, social changes, and intentions. Most (male) participants responded to physical changes in the environment. Reassessment of these changes was common among those who increased cycling but not among those who reduced it. The study also highlights the important role of social changes in influencing cycling behaviour post-relocation and reveals gender differences in how these social shifts influence behaviour.</div></div><div><h3>Conclusion</h3><div>Relocation presents a significant opportunity for behaviour change, capable of leading to both increases and decreases in cycling through various mechanisms and contextual conditions. This study challenges the overemphasis on self-selection bias and underscores the importance of physical and social changes in shaping cycling behaviour post-relocation. These insights highlight the need for comprehensive theories, innovative methods, and interventions that account for the complexity of different movers and their cycling decisions.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101087"},"PeriodicalIF":5.1,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280969","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}

引用次数: 0

Shared e-bikes demand in urban mobility: Temporal heterogeneity, driving factors, and strategic implications 城市交通中的共享电动自行车需求：时间异质性、驱动因素和战略意义

IF 5.1 2区工程技术

Travel Behaviour and Society Pub Date : 2025-06-13 DOI: 10.1016/j.tbs.2025.101075

Ailing Yin , Xiaohong Chen , He Haitao , Andrew Morris , Quan Yuan , Xu Ma , Zhiwei Yang

{"title":"Shared e-bikes demand in urban mobility: Temporal heterogeneity, driving factors, and strategic implications","authors":"Ailing Yin , Xiaohong Chen , He Haitao , Andrew Morris , Quan Yuan , Xu Ma , Zhiwei Yang","doi":"10.1016/j.tbs.2025.101075","DOIUrl":"10.1016/j.tbs.2025.101075","url":null,"abstract":"<div><div>Electric bicycles (e-bikes) are recognised as a sustainable solution for urban travel, addressing increasing travel demand while reducing emissions. Shared e-bikes, with increasingly developed infrastructure and integration with existing urban transportation systems, offer an efficient alternative, especially in short-distance travel. Understanding the variation in shared e-bike usage and its interaction with external factors is important for optimising system performance. Using shared e-bike transaction data from Nanning, this study employs traditional statistical regression (Spatial Lag Model, SLM) and machine learning (Extreme Gradient Boosting, XGBoost) to reveal demand variations across seven distinct time segments. SLMs identify the significance and coefficient variations of explanatory variables, while XGBoost reveals shifts in feature rankings and influence thresholds. Findings from both models highlight the significant influence of public transit and certain facilities on shared e-bike demand, with notable temporal patterns. Results indicate shared e-bikes’ role in facilitating users’ weekday routines, particularly commuting, and supporting leisure activities around areas populated with restaurants and universities during after-work hours. Shared e-bikes also show a positive trend of integration with current transit systems. These findings suggest a deployment focus that varies by time: balancing shared e-bikes around transit stations, residential areas, and office buildings during weekday peak hours, and around restaurant-populated areas and transit stations as the day unfolds; during weekends, prioritising transit stations, universities, densely populated areas, and restaurants. With guided attention to different time slots, the findings will help operators optimise resources and enhance service outcomes.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101075"},"PeriodicalIF":5.1,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272200","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}

引用次数: 0