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International Journal of Automotive Technology and Management最新文献

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Digital Transformation in the Global Automotive Industry 全球汽车工业的数字化转型
Q2 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijatm.2021.10040549
Harald V. Proff, Heike Proff, Stefan Sommer
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引用次数: 3
Business cycle and uncertainties: evaluating the behavior of the automotive industry in relation to the COVID-19 period in Brazil 商业周期和不确定性:评估巴西2019冠状病毒病期间汽车行业的行为
Q2 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijatm.2021.10042436
C. A. G. Silva, W. Faria, A. Betarelli, G. Andrade
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引用次数: 0
The road to autonomous mobility services: Who drives the transition, where, and how 通往自动移动服务的道路:谁来推动转型,在哪里,以及如何
Q2 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijatm.2021.10042437
C. Midler, Xieshu Wang, Y. Shou, Marc Alochet
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引用次数: 3
Incumbent firms offering digital services: insights and lessons learned from the automotive industry 提供数字服务的现有公司:从汽车行业获得的见解和经验教训
Q2 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijatm.2021.10043030
Micha Bosler
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引用次数: 1
ICE Age Geography: Powertrain Sourcing in Europe and North America 冰河时代地理:欧洲和北美的动力总成采购
Q2 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijatm.2021.10042450
T. Klier, James M. Rubenstein
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引用次数: 2
Business cycle and uncertainties: evaluating the behaviour of the automotive industry in relation to the COVID-19 period in Brazil 商业周期和不确定性:评估巴西2019冠状病毒病期间汽车行业的行为
Q2 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijatm.2021.119403
G. Andrade, Admir Antonio Betarelli Junior, C. A. G. Silva, W. Faria
Drawing on autoregressive vector (VAR) model, this paper analyses supply and demand of automobiles and light commercial vehicles in Brazil from January 2012 to February 2020. Then, it points out how the automotive activity in the country responds to shocks of political proposals or unexpected shocks. The results on the short-term forecast suggest that credit, income, price, and tax influence the business cycles of the industry and returns to a stationary trend over a period of five months. Therefore, the analysis suggests that the automotive activity has a capacity for quick recovery in face of an eventual adverse shock, such as COVID-19 outbreak. This convergence time can be shortened by credit and tax reduction policies, as well as the new automation and electrification technologies in the automotive industry.
本文利用自回归向量(VAR)模型,分析了2012年1月至2020年2月巴西汽车和轻型商用车的供需情况。然后,它指出了该国的汽车活动如何应对政治提案或意外冲击的冲击。短期预测结果表明,信贷、收入、价格和税收影响行业的业务周期,并在5个月的时间内回归平稳趋势。因此,分析表明,面对最终的不利冲击,例如新冠肺炎疫情,汽车活动具有快速恢复的能力。这一趋同时间可以通过信贷和减税政策以及汽车行业新的自动化和电气化技术来缩短。
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引用次数: 0
Estimating the welfare loss due to vehicle tariffs in Malaysia 估计马来西亚车辆关税造成的福利损失
Q2 Engineering Pub Date : 2021-01-01 DOI: 10.1504/IJATM.2021.10035819
Brian Chua Tatt Shen, D. Borer, K. Tan
: The Malaysian Government initiated domestic automobile production in 1985, paired with hefty tariffs on imported vehicles to protect the growing industry, using the infant industry argument as underlying. To gain empirical knowledge on the effectiveness of the infant industry argument for the automobile industry, the cases of Japan, South Korea and Spain are briefly analysed. The findings suggest that the Malaysian Government has failed to implement the infant industry type policies successfully. Additionally, the welfare cost of protecting the Malaysian vehicle industry is calculated using a Harberger triangle welfare loss analysis. The welfare loss is estimated for the year 2017 at MYR 11.3 b (US$2.8 b). It is suggested that the benefits of keeping the protectionist measures are too small to justify the costs. To close the article, policy recommendations are presented to reduce the welfare loss by gradually opening the sector up to international competition. leadership and anticorruption for high officials. a expanded of a entitled ‘Estimating the welfare loss due to vehicle tariffs in Malaysia’
马来西亚政府于1985年开始在国内生产汽车,同时对进口汽车征收高额关税,以保护日益增长的产业,并以幼稚产业的论点为基础。为了获得关于汽车产业幼稚产业理论有效性的实证知识,本文对日本、韩国和西班牙的案例进行了简要分析。研究结果表明,马来西亚政府未能成功实施新兴产业型政策。此外,保护马来西亚汽车工业的福利成本是使用哈伯格三角福利损失分析计算的。据估计,2017年的福利损失为113亿林吉特(28亿美元)。有人认为,保留保护主义措施的好处太小,不足以抵消成本。在文章的最后,提出了政策建议,通过逐步向国际竞争开放该部门来减少福利损失。高级官员的领导和反腐败。一篇题为“估计马来西亚车辆关税造成的福利损失”的扩展文章
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引用次数: 0
Robomobility for collective transport: a prospective user centric view 集体运输的机器人机动性:以用户为中心的前瞻性观点
Q2 Engineering Pub Date : 2021-01-01 DOI: 10.1504/IJATM.2021.10035817
S. M. Bonnardel
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引用次数: 4
Limiting CO2 fleet emissions in the automotive industry - a portfolio planning approach 限制汽车行业的二氧化碳车队排放-一种投资组合规划方法
Q2 Engineering Pub Date : 2020-12-18 DOI: 10.1504/ijatm.2020.10034380
C. Hüls, Christian Thies, Karsten Kieckhäfer, T. Spengler
In this article, a novel portfolio planning approach as a means to limit CO2 fleet emissions in the automotive industry is presented. This research is motivated by several factors challenging product portfolio planning in times of structural changes. Besides ever stricter CO2 legislation, dynamics and uncertainties related to the transformation towards electric mobility need to be considered when deciding on the future range of vehicles to be offered on the market. These portfolio decisions are of particular importance due to long life cycles, long development times and high product-specific investments of vehicle projects. This approach supports the definition of vehicle projects and cycle plans on an aggregation level in line with industry-specific planning requirements and allows for the consideration of temporal dynamics and uncertainties to handle structural changes. To this end, illustrative cycle plans are generated and evaluated based on financial and environmental criteria considering different scenarios of market development.
在这篇文章中,提出了一种新的投资组合规划方法,作为限制汽车行业二氧化碳车队排放的一种手段。这项研究的动机是在结构变化时期挑战产品组合规划的几个因素。除了越来越严格的二氧化碳立法外,在决定未来市场上提供的车辆系列时,还需要考虑与电动出行转型相关的动态和不确定性。由于汽车项目的生命周期长、开发时间长、产品特定投资高,这些投资组合决策尤其重要。这种方法支持在符合行业特定规划要求的聚合级别上定义车辆项目和周期计划,并允许考虑时间动态和不确定性,以应对结构变化。为此,考虑到市场发展的不同场景,根据财务和环境标准生成并评估说明性周期计划。
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引用次数: 1
Substituting individual mobility by mobility on demand using autonomous vehicles - a sustainable assessment simulation of Berlin and Stuttgart 用自动驾驶汽车按需出行取代个人出行——柏林和斯图加特的可持续评估模拟
Q2 Engineering Pub Date : 2020-12-18 DOI: 10.1504/ijatm.2020.10034385
G. Fournier, Adrian Boos, R. Wörner, Ines Jaroudi, I. Morozova, Eliane Horschutz Nemoto
Our current mobility paradigm increasingly faces economic, ecological, and social limits in urban areas. The aim of this paper is to analyse if a fleet of shared autonomous electric vehicles (AEVs) can meet these challenges while satisfying the current requirements of privately-owned internal combustion engine vehicles (ICEVs). Therefore, analytical models have been developed to simulate and investigate the impacts of mobility behaviour in Berlin and Stuttgart (Germany). The collected data were used to calculate the fleet size, the energy consumption, the emission of particulate matter, nitrogen oxides, and the carbon footprint of different shared AEVs in comparison with privately owned ICEVs. The approach shows that the system of a shared AEV fleet could lower externalities (accident avoidance, traffic jams, free spaces, parking costs and lifetime losses) in cities and generate cost benefits for customers.
我们当前的交通模式日益面临城市地区的经济、生态和社会限制。本文的目的是分析共享自动驾驶电动汽车(aev)车队能否在满足私人内燃机汽车(ICEVs)当前要求的同时,应对这些挑战。因此,已经开发了分析模型来模拟和调查柏林和斯图加特(德国)的移动行为的影响。利用收集到的数据,计算了不同共享电动汽车的车队规模、能耗、颗粒物排放、氮氧化物排放和碳足迹,并与私营电动汽车进行了比较。该方法表明,共享AEV车队系统可以降低城市的外部性(避免事故、交通拥堵、空闲空间、停车成本和生命周期损失),并为客户带来成本效益。
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引用次数: 8
期刊
International Journal of Automotive Technology and Management
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