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Understanding vehicle availability patterns using census data with spatially-hybrid machine learning models 使用人口普查数据和空间混合机器学习模型来理解车辆可用性模式
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-04 DOI: 10.1016/j.cstp.2025.101641
Kelvin Asamoah Terkper , Milhan Moomen , M. Ashifur Rahman , Nurul-Haq Mohammed , Waseem Akhtar Khan , Julius Codjoe
Predicting vehicle availability supports transportation planning by informing strategies to manage growing ownership and its effects on mobility and sustainability. This study applies spatially-hybrid machine learning models to explore vehicle availability patterns in Louisiana census tracts, a region characterized by a predominantly car-dependent culture and a mix of urban–rural dynamics, incorporating spatial factors such as geographic proximity and transit infrastructure for a comprehensive analysis. A custom spatial random forest (SpatialRF) model was used to select spatial predictors, which were then applied to train five ML models: Random Forest (RF), Artificial Neural Network (ANN), Support Vector Regressor (SVR), K-Nearest Neighbor (KNN), and Extreme Gradient Boosting (XGBoost). Key findings reveal that employment in the labor force, total working population, population aged 15–64 years, and median household income positively influence vehicle availability due to increased commuting needs and financial capacity, while smaller households (under 5 persons) and enhanced transit infrastructure reduce ownership by lowering transportation demand. The models exhibited strong performance, with R2 values ranging from 0.88 to 0.91 and low error metrics (RMSE, MAE, MSE), indicating high predictive accuracy and goodness of fit. Shapley Additive exPlanations (SHAP) were employed to interpret variable importance from the best-performing XGBoost model. This research highlights the limitations of traditional statistical models in capturing complex, non-linear relationships and demonstrates the potential of spatially-aware ML techniques to enhance transportation planning through more informed trip generation estimates, supporting better infrastructure and policy decisions.
通过预测车辆可用性,为管理日益增长的所有权及其对机动性和可持续性的影响的策略提供信息,从而支持交通规划。本研究应用空间混合机器学习模型来探索路易斯安那州人口普查区的车辆可用性模式,这是一个以汽车依赖文化和城乡动态混合为特征的地区,结合地理邻近和交通基础设施等空间因素进行全面分析。使用自定义空间随机森林(SpatialRF)模型选择空间预测因子,然后将其应用于随机森林(RF)、人工神经网络(ANN)、支持向量回归(SVR)、k -最近邻(KNN)和极端梯度增强(XGBoost)五个ML模型的训练。主要研究结果显示,劳动力就业率、总工作人口、15-64岁人口和家庭收入中位数对车辆可用性有积极影响,因为通勤需求和财务能力增加了,而小家庭(5人以下)和交通基础设施的增强通过降低交通需求来减少所有权。模型表现出较强的性能,R2值在0.88 ~ 0.91之间,误差指标(RMSE、MAE、MSE)较低,表明预测精度和拟合优度较高。采用Shapley加性解释(SHAP)来解释表现最佳的XGBoost模型的变量重要性。这项研究强调了传统统计模型在捕捉复杂的非线性关系方面的局限性,并展示了空间感知ML技术的潜力,通过更明智的行程生成估计来增强交通规划,支持更好的基础设施和政策决策。
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引用次数: 0
Dual airports, market exit and airline competition——evidence of the Chinese market 双机场、市场退出和航空公司竞争——中国市场的证据
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-01 DOI: 10.1016/j.cstp.2025.101640
Ying Sun
The paper studies the opening of Beijing Daxing International Airport (BDIA) and the accompanying transfer of flight capacity by Eastern Airlines and Southern Airlines to BDIA away from Beijing Capital International Airport (BCIA). The study treats this transfer as an exit event at BCIA (and the announcement of the capacity reduction as a potential exit event) to study how incumbents at BCIA react to the (potential) exit. It is found that, as potential market exit has occurred, the incumbents of BCIA increase fares close to and far away from the departure date and reduce fares when the departure date is neither close nor far away. Meanwhile, when the departure date is neither close nor far away, incumbents also reduce code-sharing and seat supply. The reasons for incumbents’ preemptive actions may be lock-in effect or competition softening. In addition, this paper also implies a ‘ratchet’ effect by potential market exit.
本文研究了北京大兴国际机场(BDIA)的开通以及东航和南航从首都国际机场向BDIA转移的航班运力。本研究将这一转移视为BCIA的退出事件(并将削减产能的公告视为潜在的退出事件),以研究BCIA的在职人员如何应对(潜在的)退出。研究发现,当潜在的市场退出发生时,BCIA的在位者在离出发日期近和远的地方增加票价,在离出发日期不近和不远的地方降低票价。同时,当出发日期既不接近也不遥远时,现有公司也会减少代码共享和座位供应。现有企业先发制人的原因可能是锁定效应或竞争软化。此外,本文还暗示了潜在市场退出的“棘轮”效应。
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引用次数: 0
Analyzing the impact of built environment on proportion of non-commuting trips around metro stations in high-density cities 高密度城市建成环境对地铁站周边非通勤出行比例的影响分析
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-10-28 DOI: 10.1016/j.cstp.2025.101636
Yanan Liu, Youhai Tang
Urban population growth in high-density cities has intensified the demand for non-commuting travel, such as shopping and leisure. Public transportation, especially metro systems, plays a critical role in meeting these demands due to its efficiency and extensive coverage. However, metro stations and their surrounding built environments are often designed primarily for commuters, creating accessibility challenges for non-commuters. This study investigates how the built environment influences the proportion of non-commuting trips around metro stations in high-density cities. Using Random Forest and SHapley Additive exPlanations (SHAP) analysis, this study identifies key built environment factors and their nonlinear effects on non-commuter trips. For instance, in high-density cities, a higher commercial land coverage significantly attracts non-commuters, while moderate commercial land coverage has a sharp decline in nonlinear effects. A combination of high commercial land coverage, low road density, and low building density fosters higher non-commuting travel, contrasting with low-density cities. Additionally, commuting and non-commuting trips show distinct dependencies on bus stops, with non-commuters relying less on such facilities. Commercial land exhibits a positive effect beyond roughly 25% coverage. The utility of green spaces also demonstrates nonlinearity (benefits plateau near 20%), as their effectiveness is tied to integration with other functions rather than simply increasing their area. This study provides critical insights for policymakers and urban planners, emphasizing the importance of integrating green spaces, promoting land use diversity, and providing commercial and recreational services in transit-oriented development (TOD) strategies to foster more accessible and vibrant metro station areas that cater to diverse travel purposes.
高密度城市的人口增长加剧了对非通勤旅行的需求,如购物和休闲。公共交通,特别是地铁系统,由于其效率和广泛的覆盖范围,在满足这些需求方面发挥着关键作用。然而,地铁站及其周围的建筑环境通常主要是为通勤者设计的,这给非通勤者带来了可达性挑战。本研究探讨了高密度城市中建成环境对地铁站周边非通勤出行比例的影响。采用随机森林和SHapley加性解释(SHAP)分析,确定了关键建筑环境因素及其对非通勤出行的非线性影响。例如,在高密度城市中,较高的商业用地覆盖率显著吸引非通勤者,而中等商业用地覆盖率的非线性效应急剧下降。与低密度城市相比,高商业用地覆盖率、低道路密度和低建筑密度的结合促进了更高的非通勤出行。此外,通勤和非通勤出行对公交车站的依赖明显,非通勤者对这些设施的依赖程度较低。商业用地的覆盖率超过约25%,表现出积极的影响。绿色空间的效用也表现出非线性(收益稳定在20%左右),因为它们的有效性与其他功能的整合有关,而不仅仅是增加它们的面积。该研究为政策制定者和城市规划者提供了重要的见解,强调了在交通导向发展(TOD)战略中整合绿色空间、促进土地利用多样性、提供商业和娱乐服务的重要性,以培育更便利、更有活力的地铁站区域,满足不同的旅行目的。
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引用次数: 0
Corrigendum to “Consumers’ decisions to purchase electric vehicles in Bangkok, Thailand” [Case Stud. Transp. Policy 21 (2025) 101536] “泰国曼谷消费者购买电动汽车的决定”的勘误表[案例研究]。透明。政策21 (2025)101536]
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-10-27 DOI: 10.1016/j.cstp.2025.101639
Kittipong Tissayakorn
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引用次数: 0
Exploring the impact of the pandemic on the autonomous bus connecting service preferences with latent segmentation approach 利用潜在分段方法探讨疫情对自主公交连接服务偏好的影响
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-10-25 DOI: 10.1016/j.cstp.2025.101638
Yung-Hsiang Cheng, Chiang Fu, Chih-Chun Huang, Yen-Chu Lai
An autonomous bus (AB) is proposed as a connecting service for public transport (PT) stations, but there is limited evidence on user preferences during the pandemic. This study investigates how the pandemic influences rail-based AB connecting preferences relative to the existing feeder modes while exploring different potential user preference profiles. Using stated preference data from 479PT users in Taiwan (February–March 2021), we estimate a latent class choice model with a contextual scale contrasting a controllable pandemic situation with an outbreak. The results indicate that AB preferences are influenced not only by mobility attributes and pandemic conditions but also by users’ attitudes and heterogeneity. Four segments are identified: cost-averters, autonomous vehicle (AV) enthusiasts, privacy-conscious individuals, and punctuality-sensitive riders. Outbreak conditions generally decrease AB adoption for all but AV enthusiasts. Longer in-vehicle time, representing exposure duration, is closely linked to lower AB choice probabilities. Segments vary in AB preferences: cost-averters respond strongly to price; privacy-conscious riders switch to taxis during outbreaks; and punctuality-sensitive riders prioritize reliable runtime. The strategies to improve AB connecting services and meet segment-specific needs are discussed. These insights aim to support the resilient deployment of ABs during the pandemic or in routine operations afterward.
自动公交(AB)被提议作为公共交通(PT)站的连接服务,但在大流行期间,关于用户偏好的证据有限。本研究探讨了疫情如何影响基于铁路的AB连接偏好相对于现有的馈线模式,同时探索了不同的潜在用户偏好概况。使用来自台湾479PT用户(2021年2月至3月)的声明偏好数据,我们估计了一个具有背景尺度的潜在类别选择模型,将可控的大流行情况与爆发进行对比。结果表明,AB偏好不仅受流动性属性和流行条件的影响,还受用户态度和异质性的影响。报告确定了四个细分市场:成本规避者、自动驾驶汽车(AV)爱好者、注重隐私的个人以及对守时敏感的乘客。除AV爱好者外,爆发条件通常会减少所有人对AB的采用。较长的车内时间(代表暴露时间)与较低的AB选择概率密切相关。细分市场的AB偏好各不相同:成本规避者对价格反应强烈;有隐私意识的乘客在疫情期间改乘出租车;对准点敏感的乘客优先考虑可靠的运行时间。讨论了改进AB连接服务和满足特定区段需求的策略。这些见解旨在支持在大流行期间或之后的常规操作中弹性部署抗体。
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引用次数: 0
Mathematical modeling using real driving data for decision making in city buses electrification 基于真实驾驶数据的城市客车电气化决策数学建模
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-10-24 DOI: 10.1016/j.cstp.2025.101633
Stavros Skarlis , Andreas Nikiforiadis , Annie Kortsari , Josep Maria Salanova Grau , Georgia Ayfantopoulou
Battery electric buses have the potential to mitigate carbon emissions from the public transport sector. The electrification of city bus lines is a challenging process though, requiring (among others) careful assessment of the electric vehicles’ energy consumption and the definition of the charging strategy. In this respect, the scope of the present work is to demonstrate a comprehensive methodology for developing strategic insights into the energy consumption and the charging strategy of battery electric buses. For this purpose, an innovative framework, including state of the art longitudinal dynamics-based vehicle modeling, statistical methods (sensitivity analysis, Monte Carlo simulation and design of experiments), as well as real diving data is applied. This approach allowed for the quantification of the uncertainty associated with the impact of stochastic electric bus operation on the vehicle’s energy consumption and autonomy. At the same time, the proposed framework allowed for a thorough optimization of the charging strategy of the fleet, taking into account the specific characteristics of bus lines to be electrified. Ultimately, the conclusions of this work are generalized and translated into actionable items to provide policy makers and transport operators with strategic insights, which can support decision making relevant to the electrification of city bus lines.
纯电动公交车有可能减少公共交通部门的碳排放。然而,城市公交线路的电气化是一个具有挑战性的过程,需要对电动汽车的能耗进行仔细评估,并确定充电策略。在这方面,目前的工作范围是展示一种全面的方法,用于开发对电池电动公交车的能源消耗和充电策略的战略见解。为此,一个创新的框架,包括最先进的纵向动力学为基础的车辆建模,统计方法(灵敏度分析,蒙特卡罗模拟和实验设计),以及真实的潜水数据应用。这种方法允许量化与随机电动公交车运行对车辆能耗和自主性影响相关的不确定性。与此同时,考虑到即将电气化的公交线路的具体特点,拟议的框架允许对车队的充电策略进行彻底优化。最终,本工作的结论被归纳并转化为可操作的项目,为政策制定者和运输运营商提供战略见解,从而支持与城市公交线路电气化相关的决策。
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引用次数: 0
Railway service factors and multidimensional inequality: measurement invariance analysis of urban and rural users in Thailand 铁路服务因素与多维不平等:泰国城乡用户测量不变性分析
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-10-24 DOI: 10.1016/j.cstp.2025.101637
Dissakoon Chonsalasin , Thanapong Champahom , Sajjakaj Jomnonkwao , Vatanavongs Ratanavaraha
The rapid expansion of intercity railway systems has created complex patterns of inequality between urban and rural users, yet existing research lacks comparative frameworks to assess how service factors influence multidimensional inequality across different geographical contexts. This study examines the differential impacts of railway service factors on inequality perceptions in Thailand, addressing the critical gap in measurement invariance validation between urban and rural populations. Data were collected through face-to-face surveys at railway stations across Thailand’s six regional corridors (urban n = 943, rural n = 734), employing stratified random sampling to ensure representative coverage. Using structural equation modeling and multi-group measurement invariance analysis, the study tested relationships between six service factors (transport connectivity, station location, station safety, onboard safety, fare reasonableness, and fare flexibility) and seven inequality dimensions (cultural, spatial, social, political, knowledge, economic, and environmental). Results revealed significant measurement non-invariance between groups (Δχ2 = 240.148, p < 0.001), indicating that urban and rural users conceptualize railway inequality differently. Paradoxically, improved connectivity and fare flexibility increased inequality perceptions (urban: β = 0.258, 0.311; rural: β = 0.415, 0.555), while station safety and fare reasonableness reduced perceived inequality. Rural users demonstrated stronger effect sizes across all relationships, with the model explaining substantially more variance (R2 = 0.609) compared to urban users (R2 = 0.329). This study contributes to the first validated multidimensional inequality framework for railway services and establishes methodological precedents for measurement invariance testing in transport equity research, providing evidence that universal service standards may inadequately address diverse geographical contexts.
城际铁路系统的快速扩张造成了城乡用户之间不平等的复杂格局,但现有研究缺乏比较框架来评估服务因素如何影响不同地理背景下的多维不平等。本研究考察了泰国铁路服务因素对不平等认知的差异影响,解决了城市和农村人口之间测量不变性验证的关键差距。数据通过在泰国六个区域走廊(城市n = 943,农村n = 734)的火车站进行面对面调查收集,采用分层随机抽样以确保代表性覆盖。采用结构方程模型和多组测量不变性分析,检验了6个服务因素(交通连通性、站点位置、站点安全性、车载安全性、票价合理性和票价灵活性)与7个不平等维度(文化、空间、社会、政治、知识、经济和环境)之间的关系。结果显示各组之间存在显著的测量不变性(Δχ2 = 240.148, p < 0.001),表明城市和农村用户对铁路不平等的概念不同。矛盾的是,改善的连通性和票价灵活性增加了不平等感知(城市:β = 0.258, 0.311;农村:β = 0.415, 0.555),而车站安全和票价合理性降低了感知不平等。农村用户在所有关系中表现出更强的效应量,与城市用户(R2 = 0.329)相比,该模型解释了更多的方差(R2 = 0.609)。本研究有助于首次验证铁路服务的多维不平等框架,并为运输公平研究中的测量不变性检验建立了方法先例,提供了普遍服务标准可能不足以解决不同地理背景的证据。
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引用次数: 0
eVTOL aircraft for the low-altitude economy: A review of development history, core technologies, and future trends 面向低空经济的eVTOL飞机:发展历史、核心技术与未来趋势综述
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-10-24 DOI: 10.1016/j.cstp.2025.101629
Zhijun Meng , Jiachi Ji , Lulu Liu , Siyuan Liu , Zhen Sun , Qingfang Xiao , Zikang Yang
With continuous technological advancement and the growing demand for modern transportation, the low-altitude economy has emerged as a critical component of future air transportation systems and has gradually become a focal point of research in both academia and industry. As a core technological enabler within the low-altitude economy, electric Vertical Take-Off and Landing aircraft are widely regarded as a fundamental pillar for constructing urban air mobility systems and advancing next-generation low-altitude transportation networks. Based on an in-depth analysis of the development context of the low-altitude economy, this paper systematically reviews the historical evolution and current state of research on eVTOL aircraft. It focuses on key technical aspects including flight performance metrics, overall aerodynamic configurations, distributed electric propulsion systems, long-endurance battery technologies, intelligent autonomous flight, digital low-altitude traffic management systems, as well as airworthiness and safety assurance. The review synthesizes and compares existing research achievements, identifying current technological bottlenecks and future trends. Finally, the paper explores the sustainable development and commercialization prospects of eVTOL in complex urban environments from both technological and market-oriented perspectives, aiming to provide theoretical insights and technical support for the construction of future low-altitude transportation systems.
随着技术的不断进步和现代交通需求的不断增长,低空经济已成为未来航空运输系统的重要组成部分,并逐渐成为学术界和工业界的研究热点。作为低空经济的核心技术,电动垂直起降飞机被广泛认为是构建城市空中交通系统和推进下一代低空交通网络的基础支柱。本文在深入分析低空经济发展背景的基础上,系统回顾了eVTOL飞机的历史演变和研究现状。它侧重于关键技术方面,包括飞行性能指标,整体气动配置,分布式电力推进系统,长航时电池技术,智能自主飞行,数字低空交通管理系统,以及适航和安全保证。该综述综合和比较了现有的研究成果,确定了当前的技术瓶颈和未来的趋势。最后,从技术和市场两个角度探讨了eVTOL在复杂城市环境下的可持续发展和商业化前景,旨在为未来低空交通系统的建设提供理论见解和技术支撑。
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引用次数: 0
Re-municipalization as an alternative governance mechanism in regional rail in Poland: Longitudinal efficiency analysis 2010–2022 再市民化作为波兰区域铁路的另一种治理机制:2010-2022年纵向效率分析
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-10-23 DOI: 10.1016/j.cstp.2025.101634
Marcin Król , Michał Zajfert
Re-municipalization is an important trend in public service delivery. The literature on this subject is growing, with more and more cases being reported and analyzed. Most contributions focus on explaining motives for re-municipalization, while ex-post empirical studies are relatively scarce. The most studied sectors include water distribution, waste management and energy, whereas public transport remains under-researched. Against this background, the purpose of this paper is to report evidence from Poland, where in-house operators set up by regional authorities have become a key link in the supply chain of stakeholders responsible for providing regional rail services. This governance mechanism has proven to be successful: our longitudinal analysis shows that in 2010–2022 the efficiency of using public funding of regional rail services in Poland was higher for services contracted from in-house operators than for those contracted from the incumbent. The evidence presented in our paper demonstrates that market-based governance mechanisms, be they competitive tendering or negotiated outsourced contracts, are not the unique and only purposeful modes to seek such goals as efficiency, effectiveness and other public values in organizing public transport.
再市民化是公共服务提供的一个重要趋势。关于这个问题的文献越来越多,越来越多的案例被报道和分析。大多数贡献集中于解释再市政化的动机,而事后实证研究相对较少。研究最多的部门包括供水、废物管理和能源,而对公共交通的研究仍然不足。在此背景下,本文的目的是报告来自波兰的证据,在波兰,由地区当局设立的内部运营商已成为负责提供区域铁路服务的利益相关者供应链中的关键环节。这种治理机制已被证明是成功的:我们的纵向分析显示,在2010-2022年,波兰区域铁路服务的公共资金使用效率,由内部运营商承包的服务高于由现任运营商承包的服务。本文提供的证据表明,以市场为基础的治理机制,无论是竞争性招标还是协商外包合同,都不是在组织公共交通中寻求效率、有效性和其他公共价值等目标的唯一有目的的模式。
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引用次数: 0
Assessing hydrogen supply and demand in the Liverpool City Region: a regional development review from stakeholders’ perspective 评估利物浦城市地区的氢供应和需求:从利益相关者的角度进行区域发展审查
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-10-21 DOI: 10.1016/j.cstp.2025.101635
Yuhao Cao , Reuben Singh Darshan Singh , Scott Caldwell , Richard Clarke , Chia-Hsun Chang , Zhuohua Qu , Zaili Yang
Under the UK’s carbon neutrality goals for 2050, the Liverpool City Region’s (LCR) strategic positioning, with its rich industrial heritage and infrastructure assets such as extensive port facilities and proximity to vast renewable energy resources, positions it as a potential leader in the UK’s shift towards a hydrogen economy. Given this, the regional hydrogen industry and stakeholders in decarbonisation initiatives intend to undertake a critical review of the opportunities, challenges and uncertainties to local hydrogen supply and demand systems to assist in their decision-making. To achieve this goal, this study reviews the readiness of the hydrogen supply chain infrastructure within the LCR, which highlights four sectors in the hydrogen economy, i.e., production, storage, transportation, and utilisation. Subsequently, to offer the first-hand data in practice, a multi-faceted approach that incorporates a broad array of stakeholders through the Triple Helix (TH) model is adopted. Special attention is given to hydrogen’s role in transforming heavy industry, transportation, and heating sectors, supported by significant local projects like HyNet North West. During a roundtable discussion, industry-academia-government stakeholders identify challenges in scaling up infrastructure and assess the economic and technological landscape for hydrogen adoption. To the best of our knowledge, this will be the first regional academic endeavour to comprehensively examine the alignment between hydrogen supply and demand, theory and practice. Based on a detailed SWOT analysis, this study outlines the region’s strengths, including established industrial clusters and technological capabilities in manufacturing. It also highlights weaknesses such as the high costs associated with emerging hydrogen technologies, technological immaturity, and gaps in necessary infrastructure. The opportunities presented by national policy incentives and growing global demand for sustainable energy solutions are considered alongside threats, including regulatory complexities and the slow pace of public acceptance. This comprehensive examination not only maps the current landscape but also sets the stage for strategic interventions needed to realise hydrogen’s full potential within the LCR, aiming to guide policymakers, industry leaders, and researchers in their efforts to foster a viable hydrogen economy. Moreover, the findings offer valuable insights that can inform the development of hydrogen strategies in other regions and cities.
根据英国2050年的碳中和目标,利物浦城市地区(LCR)的战略定位,凭借其丰富的工业遗产和基础设施资产,如广泛的港口设施和接近大量的可再生能源,使其成为英国向氢经济转变的潜在领导者。鉴于此,区域氢工业和脱碳倡议的利益相关者打算对当地氢供需系统的机遇、挑战和不确定性进行批判性审查,以协助他们做出决策。为了实现这一目标,本研究回顾了LCR内氢供应链基础设施的准备情况,重点介绍了氢经济中的四个部门,即生产、储存、运输和利用。随后,为了在实践中提供第一手数据,采用了一种多方面的方法,通过三螺旋(TH)模型纳入了广泛的利益相关者。特别关注氢在改造重工业、交通运输和供暖部门方面的作用,并得到HyNet North West等重要地方项目的支持。在圆桌讨论中,行业-学术界-政府利益相关者确定了扩大基础设施的挑战,并评估了采用氢的经济和技术前景。据我们所知,这将是第一个全面研究氢供需、理论与实践之间一致性的区域性学术努力。基于详细的SWOT分析,本研究概述了该地区的优势,包括已建立的产业集群和制造业的技术能力。报告还强调了与新兴氢技术相关的高成本、技术不成熟以及必要基础设施的差距等弱点。国家政策激励和全球对可持续能源解决方案日益增长的需求所带来的机遇,与监管复杂性和公众接受速度缓慢等威胁一起被考虑。这项全面的研究不仅描绘了当前的格局,而且为在LCR内实现氢的全部潜力所需的战略干预奠定了基础,旨在指导政策制定者、行业领导者和研究人员努力培育可行的氢经济。此外,研究结果还提供了有价值的见解,可以为其他地区和城市的氢战略发展提供信息。
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Case Studies on Transport Policy
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