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What drives university students to cycle? An investigation of their motivations 是什么促使大学生骑自行车?调查他们的动机
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-03-04 DOI: 10.1080/15568318.2025.2455010
Chiara Ricchetti , Lucia Rotaris , Mariangela Scorrano
The objective of this study is to identify the factors that influence the increase in the number of students cycling to university. An online questionnaire was administered to 2,130 students at the University of Trieste (Italy) to assess their stated preferences for cycling in the presence of various infrastructure and facilities, including cycle lanes, green infrastructure, secure parking, and e-bike charging stations. The findings indicate that students are responsive to the financial aspects of cycling, suggesting that subsidies for the purchase of bicycles or bike-share services could increase cycling rates. However, the study also highlights that infrastructure factors—such as the availability of dedicated cycle lanes, secure bicycle parking, and e-bike charging points on campus—are equally, if not more, important in determining the likelihood of students cycling to university. Additionally, linear green infrastructure, such as roads with greenery along the edges (e.g. grass verges, trees, or bushes), was found to be the second most important type of infrastructure for encouraging students residing in the urban area to cycle. Latent psychological factors, such as perceptions of urban safety for cycling and anticipated health and fatigue effects, were also significant in influencing the decision to cycle. Our findings will be useful to policy makers, local authorities and university mobility managers in the design, planning and implementation of policies that can effectively increase the uptake of cycling for commuting to university.
本研究的目的是找出影响骑自行车上大学的学生人数增加的因素。意大利的里雅斯特大学(University of Trieste)对2130名学生进行了一份在线问卷调查,以评估他们在各种基础设施和设施(包括自行车道、绿色基础设施、安全停车场和电动自行车充电站)存在的情况下对骑自行车的偏好。调查结果表明,学生对自行车的经济方面有反应,这表明购买自行车或共享单车服务的补贴可能会增加骑自行车的比例。然而,该研究还强调,基础设施因素,如专用自行车道的可用性、安全的自行车停放和校园内的电动自行车充电点,在决定学生骑自行车上大学的可能性方面同样重要,如果不是更重要的话。此外,线性绿色基础设施,如沿着边缘(如草地边缘、树木或灌木丛)的绿色道路,被发现是鼓励居住在城市地区的学生骑自行车的第二重要的基础设施类型。潜在的心理因素,如对城市骑自行车安全的看法以及预期的健康和疲劳影响,在影响骑自行车的决定方面也很重要。我们的研究结果将对政策制定者、地方当局和大学交通管理人员在设计、规划和实施政策方面有所帮助,这些政策可以有效地增加骑车上学的人数。
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引用次数: 0
Planning for energy-efficient transport in a small town: Influence from different urban configurations of destination points and housing establishments 一个小镇的节能交通规划:来自目的地和住房设施不同城市配置的影响
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1080/15568318.2024.2448004
Mengjie Han , Johan Håkansson , Tony Svensson , Xiaoyun Zhao
Urban and transport planning can strongly affect energy usage induced by travel in cities. However, most studies investigate large cities with crude measurements of induced travel without consideration of the urban configuration of residences and their trip destinations, and little attention has been paid to smaller cities. We investigate energy usage (CO2-emissions) from car travel in a small Swedish city using a novel approach based on detailed GPS-tracking data of actual car mobility to calculate CO2-emissions on street segments and to identify major destinations. We also construct configuration scenarios, applied to the case city. These scenarios’ induced CO2 emission from transports is evaluated in relation to the current configuration of the city. We find that changes in the urban configuration can impact on energy usage from intra-urban car travel by some 40% compared to the current situation and that the configurations display large relative differences in transport-efficiency, polycentric and public transport-based configurations being more efficient than monocentric development. We conclude that housing allocation is less important for car transport efficiency than re-location of existing destination points. Urban planning needs to be critical to over-simplified densification strategies and analyze the urban configuration to find optimal solutions.
城市和交通规划可以强烈地影响城市旅行引起的能源使用。然而,大多数研究对大城市进行了粗略的诱导旅行测量,而没有考虑居民的城市结构及其旅行目的地,很少关注较小的城市。我们调查了瑞典一个小城市汽车出行的能源使用(二氧化碳排放),使用了一种基于实际汽车移动的详细gps跟踪数据的新方法来计算街道段的二氧化碳排放量并确定主要目的地。我们还构建了应用于案例城市的配置场景。根据城市的当前配置,对这些情景中交通工具引起的二氧化碳排放进行了评估。我们发现,与目前的情况相比,城市配置的变化会对城市内汽车出行的能源使用产生约40%的影响,并且配置在运输效率方面显示出较大的相对差异,多中心和基于公共交通的配置比单中心发展更有效。我们得出结论,住房分配对汽车运输效率的重要性低于现有目的地的重新定位。城市规划需要对过度简化的密度化策略和分析城市配置找到最佳解决方案至关重要。
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引用次数: 0
Impacts of electric vehicles on traffic-power systems: A review 电动汽车对交通电力系统的影响:综述
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1080/15568318.2024.2449436
Jose Acedo Aguilar , Shian Wang
This article offers a comprehensive summary of the profound impacts stemming from the integration of electric vehicles (EVs) into traffic-power systems. While the introduction of EVs promises to curtail greenhouse gas (GHG) emissions within the automotive sector, it could trigger a cascade of effects across the intertwined traffic-power system. These ramifications manifest in several key areas, including (i) shifts in driver behavior and route choice, (ii) alterations in energy consumption patterns, (iii) the expansion and placement of charging infrastructure, and (iv) the evolving demands placed on the electric grid. Although the current penetration rate of EVs remains relatively low, their increasing presence on the road will inevitably amplify these consequences, leading to altered traffic dynamics, more conservative driving behavior to reduce energy consumption, and an uptick in electricity demand during charging periods. This review meticulously summarizes the multifaceted effects of EV integration in these domains and outlines various strategies and technologies aimed at mitigating these challenges. These include eco-driving techniques that leverage intelligent vehicle controls to minimize energy consumption, innovative charging schemes to flatten the electricity demand curve, and the implementation of vehicle-to-everything (V2X) communication enabling vehicles to better respond to their surroundings, among others. In summary, this review seeks to consolidate the current academic consensus regarding EV performance within the integrated traffic-power network while paving the way for future research directions in this dynamic field.
本文全面总结了电动汽车(ev)与交通电力系统集成所产生的深远影响。虽然电动汽车的引入有望减少汽车行业的温室气体排放,但它可能会在错综复杂的交通-电力系统中引发一系列影响。这些影响体现在几个关键领域,包括(i)驾驶员行为和路线选择的转变,(ii)能源消耗模式的改变,(iii)充电基础设施的扩展和安置,以及(iv)对电网的不断变化的需求。尽管目前电动汽车的普及率仍然相对较低,但它们在道路上的出现将不可避免地放大这些后果,导致交通动态的改变,更保守的驾驶行为以减少能源消耗,以及充电期间电力需求的上升。本文精心总结了电动汽车集成在这些领域的多方面影响,并概述了旨在缓解这些挑战的各种策略和技术。其中包括利用智能车辆控制来最大限度地减少能源消耗的生态驾驶技术,创新的充电方案来平坦电力需求曲线,以及车辆对一切(V2X)通信的实施,使车辆能够更好地响应周围环境,等等。综上所述,本文旨在巩固目前关于电动汽车在综合交通-电力网络中的性能的学术共识,同时为这一动态领域的未来研究方向铺平道路。
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引用次数: 0
Associations of built environment with moped-sharing use: A vehicle-based approach 建筑环境与机动车辆共享使用的关联:基于车辆的方法
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1080/15568318.2025.2454693
Jen-Jia Lin , Qing-Qian Guo , Hung-Chi Liu
In recent years, moped-sharing services have become popular in Asian and European cities, but existing literature provides limited information about factors influencing moped-sharing use. This research explored the associations of built environments with the probabilities that idle shared mopeds become rented through survival analyses. The study observations are from the global positioning system records of an anonymous moped-sharing operator in Taipei, Taiwan. The empirical results indicate the following findings: (1) The associations of density and diversity attributes with moped-sharing use can refer to those of other shared vehicle uses but are dissimilar to those of general mopeds. (2) Moped-sharing service operators are suggested to move idle shared mopeds from employment centers to areas with dense residential, school, or retailing activities; diverse floor uses, industries, or transit services; and dense streetlights or moped parking spaces. (3) Moped-sharing service operators are also suggested to develop vehicle-rebalancing strategies in accordance with the built environment attributes within different catchment area sizes and periods. (4) Moped sharing is a complementary service rather than a competitive service to other intracity public transport services.
近年来,共享moped服务在亚洲和欧洲城市变得流行起来,但现有文献提供的影响共享moped使用因素的信息有限。本研究通过生存分析探讨了建筑环境与闲置共享轻便摩托车被租用的概率之间的关系。该研究的观察结果来自台湾台北一位匿名的共享摩托车运营商的全球定位系统记录。实证结果表明:(1)密度和多样性属性与共享助力车使用的关联可以参考其他共享车辆使用,但与普通助力车使用的关联不同。(2)建议共享助力车服务运营商将闲置的共享助力车从就业中心转移到居住、学校或零售活动密集的地区;不同的楼层用途、工业或运输服务;密集的街灯或轻便摩托车停车位。(3)建议共享机动车辆服务运营商根据不同集水区规模和时段的建成环境属性制定车辆再平衡策略。(4)与其他城市公共交通服务相比,共享助动车是一种互补服务,而非竞争服务。
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引用次数: 0
Impacts of high-speed rail on household carbon dioxide emissions: Evidence from China 高铁对家庭二氧化碳排放的影响:来自中国的证据
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1080/15568318.2025.2459614
Shuping Wu , Zan Yang , Shuyang Yao
This study employs a difference-in-difference (DID) regression to estimate the impact of high-speed rail (HSR) on city-level household carbon dioxide emissions across various consumption categories. The DID analysis is based on a sample of 179 Chinese cities during 2010-2018, and reveals a positive association between HSR and household carbon dioxide emissions. The findings suggest that cities with HSR emit more carbon dioxide due to increased daily consumption, and this effect grows over time. The mechanism analysis shows that the development of HSR stimulates household income growth, leading to increased consumption-based carbon dioxide in cities with HSR. Despite being considered a green transportation mode with a low carbon footprint, this research highlights potential environmental burdens associated with HSR, emphasizing the need for sustainable HSR development and environmental management policies.
本研究采用差分回归(DID)方法估计高铁(HSR)对不同消费类别城市家庭二氧化碳排放的影响。DID分析基于2010-2018年179个中国城市的样本,揭示了高铁与家庭二氧化碳排放之间的正相关关系。研究结果表明,有高铁的城市由于日常消费的增加而排放更多的二氧化碳,而且这种影响随着时间的推移而增加。机制分析表明,高铁的发展刺激了家庭收入的增长,导致高铁城市的消费性二氧化碳增加。尽管高铁被认为是一种低碳足迹的绿色交通方式,但本研究强调了与高铁相关的潜在环境负担,强调了可持续高铁发展和环境管理政策的必要性。
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引用次数: 0
Cycling accessibility to employment, schools, and grocery stores in Arizona metropolitan regions 在亚利桑那州的大都市地区,骑车可达就业、学校和杂货店
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1080/15568318.2025.2460637
Steven R. Gehrke , Manoj Kumar Allam , Armando E. Martinez , Ty M. Holliday , Brendan J. Russo , Edward J. Smaglik
The further motivation of bicycling as a utilitarian travel alternative has been identified as a viable solution to address societal concerns regarding physical inactivity, climate change, and transportation inequities. Yet, a profound increase in bicycling activity for many cities remains elusive to policymakers, practitioners, and researchers largely because of the inability to attract new bicyclists via safer bicycling infrastructure provision. To better understand current bicycling barriers to its future adoption, this study describes the advancement of the Cyclist Routing Algorithm for Network Connectivity (CRANC) and its application as an accessibility-oriented transportation planning tool in eight Arizona metropolitan regions. CRANC, an innovative bicyclist routing platform sensitive to bike network conditions and the varying traffic safety concerns of cyclist types (interested but concerned, enthused and confident, strong and fearless), is designed to support utilitarian bicycling promotion by identifying its latent demand. In this application, local and regional discrepancies in bicycling accessibility to jobs, schools, and grocery stores are identified and visualized by integrating the concepts of cyclist types and bicycle level of traffic stress into a new bicycling accessibility metric. Study findings show significant differences in place-based bicycling accessibility across key sociodemographic and economic indicators for the interested but concerned cyclist type, who prefers dedicated bike facilities, slower vehicle speeds, and lower traffic volumes. A recognition of these variations is important for promoting equitable bicycling access to subsistence and maintenance activities for those individuals who do not presently use this sustainable mode but would if barriers to access were removed.
骑自行车作为一种实用的出行选择的进一步动机已被确定为解决缺乏运动、气候变化和交通不平等等社会问题的可行解决方案。然而,对于政策制定者、实践者和研究人员来说,许多城市骑自行车活动的大幅增加仍然是难以实现的,这主要是因为无法通过提供更安全的自行车基础设施来吸引新的骑自行车者。为了更好地了解当前的骑车障碍对其未来采用的影响,本研究描述了骑车者网络连接路由算法(CRANC)的进展及其在亚利桑那州八个大都市区作为可达性导向交通规划工具的应用。CRANC是一个创新的自行车路线平台,它对自行车网络条件和不同类型的自行车骑行者(感兴趣但关注,热情而自信,强壮而无畏)的交通安全问题敏感,旨在通过识别其潜在需求来支持功利主义的自行车推广。在这个应用程序中,通过将骑自行车的类型和自行车的交通压力水平的概念集成到一个新的自行车可达性指标中,可以识别和可视化骑车到工作、学校和杂货店的地方和区域差异。研究结果表明,对于有兴趣但关心骑行的类型,他们更喜欢专用的自行车设施、较慢的车速和较低的交通量,在关键的社会人口和经济指标上,基于地点的自行车可达性存在显著差异。认识到这些差异对于促进那些目前不使用这种可持续模式但如果消除障碍就会使用这种模式的个人公平地骑自行车获得生存和维持活动是很重要的。
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引用次数: 0
Methodology for developing models to estimate vehicle instantaneous energy consumption based on hub-type dyno test data 基于轮毂动态测试数据的车辆瞬时能耗估算模型开发方法
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-02-01 DOI: 10.1080/15568318.2025.2459616
Nicola Amati , Luis M. Castellanos Molina , Alessandro Mancarella , Omar Marello , Mario Silvagni
This paper describes a methodology to develop simple energy consumption models of road vehicles exploiting transient experimental datasets obtained from a vehicle/powertrain four-dyno testbed available at the Center for Automotive Research and Sustainable mobility (CARS@POLITO) of Politecnico di Torino. These models, based on a locally weighted linear regression method, can serve as a simpler alternative to more conventional methods based, for example, on engine maps obtained by steady-state characterization at engine testbeds, and combined with powertrain subsystem models. The present methodology was applied to a conventional diesel-powered vehicle. Three different modeling approaches are proposed: vehicle-based (VB), engine-based (EB) and engine-based modified (EB*). The VB approach is the simplest, being able to estimate the vehicle fuel consumption by only using, as inputs, wheel torque and speed, while the EB and EB* approaches enhance modeling accuracy by using engine speed and torque, as inputs, along with transmission-related parameters and/or by considering the moments of inertia of the powertrain rotating parts. The manuscript describes, in full, the process used to develop these models, providing significant guidance for researchers who may want to replicate the procedure with their own experimental data. These energy consumption models can be useful tools for the development and assessment of eco-driving or ADAS functions or for energy consumption comparison between different vehicles that were not tested on the same driving cycle. They can also support the estimation of the total energy consumption of vehicles along different traffic conditions or routes, based on a limited number of experiments and low computational effort.
本文描述了一种方法,利用从都灵理工大学汽车研究和可持续移动中心(CARS@POLITO)提供的车辆/动力系统四动态试验台获得的瞬态实验数据集,开发简单的道路车辆能耗模型。这些基于局部加权线性回归方法的模型可以作为更简单的替代方法,例如,基于发动机试验台稳态表征获得的发动机图,并结合动力总成子系统模型。本方法应用于常规柴油动力车辆。提出了三种不同的建模方法:基于车辆的建模(VB)、基于发动机的建模(EB)和基于发动机的修正建模(EB*)。VB方法是最简单的,仅使用车轮扭矩和速度作为输入即可估计车辆油耗,而EB和EB*方法通过使用发动机转速和扭矩作为输入,以及与传动相关的参数和/或考虑动力系统旋转部件的惯性矩来提高建模精度。该手稿完整地描述了用于开发这些模型的过程,为那些可能想要用自己的实验数据复制该过程的研究人员提供了重要的指导。这些能源消耗模型可以成为开发和评估生态驾驶或ADAS功能的有用工具,也可以用于比较未在同一驾驶循环中测试的不同车辆之间的能源消耗。它们还可以基于有限数量的实验和较低的计算工作量,支持在不同交通条件或路线上估计车辆的总能耗。
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引用次数: 0
Light-duty plug-in electric vehicle adoption: County-level emissions benefits using consumption-based emissions intensities 轻型插电式电动汽车的采用:使用基于消费的排放强度,县级排放效益
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2443827
Xinyi Wu , Yan Zhou , David Gohlke , Jarod Kelly
The electrification of light-duty vehicles (LDVs) is essential for decarbonizing the transportation sector in the United States. Both federal and state governments have begun promoting and incentivizing the adoption of plug-in electric vehicle (PEV) (battery electric vehicles (BEV) and plug-in hybrid electric vehicles (PHEV)) to reduce LDV greenhouse gas (GHG) emissions greatly. However, there remains a critical need for a robust methodology to accurately quantify the distributed emissions impacts of PEV adoption at a granular regional level. Additionally, the role of electricity traded across electrical grids in regional GHG mitigation efforts often goes unrecognized. This study addresses these gaps by developing a top-down approach for assessing county-level emissions benefits arising from PEV adoption while accounting for upstream emissions due to electricity flow across regions. Our findings underscore the significant influence of regional variations in future PEV adoption rates and vehicle usage patterns on emissions reduction potential. Nevertheless, these benefits can be tempered by local emission intensities associated with electricity generation. Importantly, our study reaffirms the necessity of considering electricity flow dynamics across grids in estimating local GHG mitigation outcomes.
轻型汽车(LDVs)的电气化对美国交通运输部门的脱碳至关重要。联邦政府和州政府已经开始推动和鼓励采用插电式电动汽车(纯电动汽车(BEV)和插电式混合动力汽车(PHEV)),以大幅减少LDV的温室气体(GHG)排放。然而,仍然迫切需要一种强大的方法来准确量化在颗粒级区域层面采用PEV的分布式排放影响。此外,电网间电力交易在区域温室气体减排工作中的作用往往未得到承认。本研究通过开发一种自上而下的方法来评估采用电动汽车带来的县级排放效益,同时考虑到跨地区电力流动造成的上游排放,从而解决了这些差距。我们的研究结果强调了未来电动汽车采用率和车辆使用模式的区域差异对减排潜力的重大影响。然而,这些好处可能被与发电有关的地方排放强度所抵消。重要的是,我们的研究重申了在估计当地温室气体减排结果时考虑电网间电流动态的必要性。
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引用次数: 0
Sustainable transportation through data science: Case studies from the automotive industry 通过数据科学实现可持续交通:来自汽车行业的案例研究
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2443821
Yang Zhao , Peijun Li , Yuan Zhang , Xiaoxia Li , Fan Zhang
The automotive industry is undergoing transformative changes propelled by the progress in technology, considerations for the environment, and the evolving tastes of consumers. This quantitative research endeavors to investigate the impact of data-driven advancements in the automotive sector. The research methodology employed a purposive sampling technique, targeting diverse stakeholders within the Chinese automotive industry. A structured questionnaire served as the primary data collection tool. Through direct interactions and visits, 900 questionnaires were distributed over three days, yielding a robust response of 850 returned surveys. Following the removal of invalid responses, the study culled valid data from 800 participants. The collected data underwent analysis using SPSS statistical software. Findings reveal significant trends in the industry, such as the increasing adoption of electric vehicles, evolving customer preferences for advanced features, and the potential impact of ride-sharing and car-sharing services on individual car ownership. Furthermore, the investigation identifies the crucial role of data analysis, predictive analytics, IoT devices, and big data in shaping various aspects of the automotive sector. The study’s novelty lies in its quantitative approach, providing objective insights into demographic characteristics, industry trends, and participants’ perspectives. The study’s exploration of data-driven design processes and their role in fostering innovation and user-friendly vehicles adds a distinctive layer to understanding the transformative impact of data science on automotive development. Overall, this research contributes valuable knowledge for industry practitioners, policymakers, and scholars interested in the intersection of data science and automotive advancements.
在技术进步、对环境的考虑以及消费者不断变化的品味的推动下,汽车行业正在经历革命性的变化。这项定量研究旨在调查数据驱动的进步对汽车行业的影响。研究方法采用有目的的抽样技术,针对中国汽车行业的不同利益相关者。一个结构化的问卷作为主要的数据收集工具。通过直接互动和访问,在三天内分发了900份问卷,得到了850份回复。在剔除无效回答后,该研究从800名参与者中剔除了有效数据。收集的数据使用SPSS统计软件进行分析。调查结果揭示了行业的重要趋势,例如电动汽车的日益普及,消费者对先进功能的偏好不断变化,以及拼车和汽车共享服务对个人汽车保有量的潜在影响。此外,该调查还确定了数据分析、预测分析、物联网设备和大数据在塑造汽车行业各个方面的关键作用。这项研究的新颖之处在于其量化方法,对人口特征、行业趋势和参与者的观点提供了客观的见解。该研究探索了数据驱动的设计过程及其在促进创新和用户友好型车辆方面的作用,为理解数据科学对汽车开发的变革性影响增加了一个独特的层面。总的来说,这项研究为对数据科学和汽车进步的交叉感兴趣的行业从业者、政策制定者和学者提供了宝贵的知识。
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引用次数: 0
Carbon neutrality in transportation: In the context of renewable sources 交通运输中的碳中和:在可再生能源的背景下
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2447999
Rachit Soni , Akshay Dvivedi , Pradeep Kumar
GHGs significantly impact climate change, adversely affecting both the environment and human well-being. As energy production and transportation are among the primary contributors to these emissions, many nations have implemented strategies to transition to renewable energy and reduce emissions by 2050-2070. This review focuses on identifying effective policies and pathways to achieve carbon neutrality in the transport supply chain. A bibliometric analysis highlights the growing importance of hydrogen and biomass-generated energy. Key trends include alternative fuels, hydrogen, electric vehicles, solar and wind energy, carbon neutrality, and GHG mitigation. In both the short and long term, integrating green transportation innovations, renewable energy consumption, and sustainable economic growth can substantially lower carbon emissions. Factors such as population growth, urbanization rates, coal consumption, renewable energy adoption, and the increasing use of electric vehicles (EVs) are emerging as critical drivers of environmental sustainability and net-zero emission goals. Policymakers are strongly encouraged to prioritize and implement optimal strategies that capitalize on these opportunities to advance carbon neutrality objectives.
温室气体对气候变化产生重大影响,对环境和人类福祉产生不利影响。由于能源生产和运输是这些排放的主要来源之一,许多国家已经实施了向可再生能源过渡的战略,并在2050-2070年之前减少排放。本综述的重点是确定在运输供应链中实现碳中和的有效政策和途径。一项文献计量分析强调了氢和生物质能日益增长的重要性。主要趋势包括替代燃料、氢、电动汽车、太阳能和风能、碳中和和温室气体减排。从短期和长期来看,将绿色交通创新、可再生能源消费和可持续经济增长相结合,可以大幅降低碳排放。人口增长、城市化率、煤炭消费、可再生能源采用和电动汽车(ev)使用增加等因素正在成为环境可持续性和净零排放目标的关键驱动因素。强烈鼓励政策制定者优先考虑并实施利用这些机会推进碳中和目标的最佳战略。
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引用次数: 0
期刊
International Journal of Sustainable Transportation
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