Transport Policy最新文献_第4页

Causal impacts of demand responsive transit on public transit demand: A spatial assessment framework 需求响应型交通对公共交通需求的因果影响：一个空间评估框架

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-07 DOI: 10.1016/j.tranpol.2026.104008

Eui-Jin Kim , Dain Oh , Hyunmyung Kim

Demand-responsive transit (DRT) offers a flexible travel option complementary to the existing fixed-route transit (FRT), improving accessibility and mobility. However, how the adoption of DRT reshapes the new public transit (PT) system, consisting of DRT and FRT, has not yet been sufficiently explored. This study proposes a spatial assessment framework based on causal impact inference to evaluate the impact of DRT on the PT system and performs empirical analysis for DRT service areas in rural areas of Korea. Our framework identifies the spatial area where significant changes in the PT system occur and quantifies the changes in terms of DRT and FRT, respectively. Then, the effects of sociodemographic and built environment factors on changes in the PT system are investigated using regression models. The bias of spatial analysis resulting from the choice of spatial units, known as the modifiable areal unit problem, is identified and addressed by the community-level residential clustering method. The results indicate that approximately half of the residents in the service area experienced a significant increase in PT usage of around 30 %. The service area with a lower population density, a lower proportion of elderly residents, a lower business population, a lower existing bus trip rate, and a higher bus stop density is more likely to benefit from DRT in increasing PT usage. These findings provide valuable insights into devising strategies to introduce new DRT services and evaluate existing ones.

需求响应型交通（DRT）提供了一种灵活的出行选择，与现有的固定路线交通（FRT）相辅相成，改善了可达性和机动性。然而，DRT的采用如何重塑由DRT和FRT组成的新公共交通（PT）系统，尚未得到充分的探讨。本研究提出了基于因果影响推理的空间评价框架来评价DRT对PT系统的影响，并对韩国农村DRT服务区进行了实证分析。我们的框架确定了PT系统发生重大变化的空间区域，并分别量化了DRT和FRT的变化。然后，利用回归模型分析了社会人口因素和建筑环境因素对PT系统变化的影响。空间单元选择导致的空间分析偏差，即可修改的面积单元问题，通过社区级住宅聚类方法加以识别和解决。结果表明，在服务区，大约有一半的居民经历了大约30%的PT使用量的显著增加。人口密度较低、老年居民比例较低、商业人口较少、现有公交出行率较低、公交站点密度较高的服务区更有可能受益于DRT增加PT使用率。这些发现为制定引进新的DRT服务和评估现有服务的战略提供了有价值的见解。

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引用次数: 0

The impact of inter-country differences on transportation carbon emission transfer 国家间差异对交通运输碳排放转移的影响

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-06 DOI: 10.1016/j.tranpol.2026.104006

Liang Zhao , Zhenggang He

Cross-border differences shape the generation and transfer of carbon emissions through international transport. This study develops a sector-specific accounting framework by integrating an environmentally extended multi-region input–output (EE-MRIO) model with interpretable machine learning. Our framework tracks and explains bilateral carbon transfers among 64 nations from 2000 to 2018. We first compute annual country-pair transfer matrices. Key drivers are then identified using the CatBoost algorithm, which employs Bayesian optimization for hyperparameter tuning after mutual-information screening and recursive feature elimination. Model explanations are derived from SHapley Additive exPlanations (SHAP) values. Subsequently, bilateral transfer pathways are classified via hierarchical clustering. Results indicate a steady increase and an eastward shift in transport-related carbon transfers. By 2018, China had become both the largest exporter and importer. Transport-specific indicators are dominant mechanisms: stronger liner-shipping connectivity, container port traffic, and international tourism amplify transfers, whereas rail development suppresses them. Disparities in manufacturing capacity and technological capability reduce outward transfers. This suggests that industrial upgrading and innovation help mitigate carbon spillovers. Clustering analysis reveals three recurrent pathway typologies: (1) a specialized transport–innovation pattern; (2) an investment–manufacturing intensive pattern; and (3) a background pattern with weak transport-specific drivers. Policy implications highlight the need for tailored interventions, such as establishing green corridors, fostering industrial collaboration for modal shift, and promoting system-wide digitalization. The integrated EE-MRIO and machine-learning approach offers a scalable and interpretable tool for sectoral mitigation analysis.

跨境差异影响了碳排放通过国际运输的产生和转移。本研究通过将环境扩展的多区域投入产出（EE-MRIO）模型与可解释的机器学习相结合，开发了一个特定行业的会计框架。我们的框架追踪并解释了64个国家从2000年到2018年的双边碳转移。我们首先计算年度国家对转移矩阵。然后使用CatBoost算法识别关键驱动程序，该算法在互信息筛选和递归特征消除后采用贝叶斯优化进行超参数调整。模型解释来源于SHapley加性解释（SHAP）值。随后，通过层次聚类对双边转移路径进行分类。结果表明，与运输相关的碳转移稳步增加并向东转移。到2018年，中国已成为世界上最大的出口国和进口国。运输相关指标是主导机制：更强的班轮运输连通性、集装箱港口交通和国际旅游放大了转移，而铁路发展则抑制了转移。制造能力和技术能力的差异减少了向外转移。这表明产业升级和创新有助于缓解碳溢出效应。聚类分析揭示了三种循环路径类型：(1)专业化运输-创新模式；(2)投资制造密集型模式；(3)具有弱运输特定驱动的背景模式。政策方面的影响突出表明，需要有针对性的干预措施，如建立绿色走廊，促进产业合作以实现模式转变，以及促进全系统数字化。综合EE-MRIO和机器学习方法为部门缓解分析提供了可扩展和可解释的工具。

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引用次数: 0

Tram networks and urban mobility: Evidence from German cities 有轨电车网络和城市交通：来自德国城市的证据

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-06 DOI: 10.1016/j.tranpol.2026.104004

Viktoria Kleinschmidt , Felix Roesel , Stefanie Gaebler

What role do tram networks play in shaping urban mobility? We study the case of West Germany, where many cities decommissioned their tram systems, mainly in the 1950s and 1960s. Using data covering 120 German cities between 1948 and 1990, we analyse how tram decommissionings affected vehicle ownership and public transport use in the long run. Difference-in-differences and event study estimations show that cities that decommissioned their trams experienced a permanent increase of at least 10% in the number of private vehicles. Decommissioning trams is also associated with fewer public transport users, even when accounting for alternatives such as bus services. This suggests that rail-based transport modes such as trams are essential to facilitating the shift towards more sustainable urban transport.

有轨电车网络在城市交通中扮演什么角色？我们研究了西德的案例，在那里，许多城市主要在20世纪50年代和60年代淘汰了有轨电车系统。利用1948年至1990年间120个德国城市的数据，我们分析了有轨电车退役对车辆拥有量和公共交通使用的长期影响。差异中的差异和事件研究估计表明，停用有轨电车的城市私家车数量至少永久性增加了10%。即使考虑到公共汽车等替代服务，电车的退役也与公共交通用户的减少有关。这表明，以铁路为基础的交通方式，如有轨电车，对于促进向更可持续的城市交通的转变至关重要。

引用次数: 0

Is plug-in hybrid vehicle a green mode in daily use? 插电式混合动力汽车在日常使用中是否属于绿色模式？

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-06 DOI: 10.1016/j.tranpol.2026.104005

Shaomin Qin , Qingyan Fu , Hong Zhu , Sheng Xiang , Haobing Liu

Plug-in hybrid electric vehicles (PHEVs) have been widely promoted as environmentally friendly alternatives in the transportation sector. However, their environmental benefits depend heavily on propulsion mode and charging behavior. This study provides a systematic empirical analysis of PHEV usage as a green mode, utilizing daily usage data from 500 PHEV users in Shanghai, China, over a three-month period, combined with real driving emissions (RDE) test data from two in-use PHEVs under different operating conditions and states of charge (SOC). The results show that, in charge-depleting (CD) mode, PHEVs exhibit notably lower emissions of nitrogen oxides (NO_x), hydrocarbons (HC), and carbon dioxide (CO₂) compared to charge-sustaining (CS) mode. Infrequent charging leads to a significant increase in NO_x, HC, and CO₂ emissions. In the worst-case scenario, where users never charge their PHEVs, emissions rise by 62 % for NO_x, 70 % for HC, and 46 % for CO₂, respectively. These findings indicate a clear discrepancy between the perceived environmental benefits of PHEVs and their real-world emission performance, providing valuable insights for policy development aimed at promoting sustainable PHEV adoption and green urban mobility.

插电式混合动力汽车（phev）作为一种环保的替代能源在交通运输领域得到了广泛的推广。然而，它们的环境效益在很大程度上取决于推进模式和充电行为。本研究对插电式混合动力汽车作为一种绿色模式的使用情况进行了系统的实证分析，利用了中国上海500名插电式混合动力汽车用户在三个月内的日常使用数据，并结合了两辆在用的插电式混合动力汽车在不同工况和荷电状态下的实际驾驶排放（RDE）测试数据。结果表明，与保持电荷模式相比，在耗尽电荷模式下，phev的氮氧化物（NOx）、碳氢化合物（HC）和二氧化碳（CO2）排放量显著降低。不频繁充电会导致氮氧化物、HC和二氧化碳排放量显著增加。在最坏的情况下，如果用户不给插电式混合动力车充电，则氮氧化物排放量将分别增加62%，HC排放量增加70%，CO2排放量增加46%。这些研究结果表明，插电式混合动力车的环境效益与实际排放表现之间存在明显差异，为旨在促进可持续插电式混合动力车采用和绿色城市交通的政策制定提供了有价值的见解。

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引用次数: 0

Inclusive transportation for an aging society: Diagnosing multidimensional capability gaps and proposing tiered policy responses using the elderly mobility index 老龄化社会的包容性交通：利用老年人流动性指数诊断多维能力差距并提出分层政策响应

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-05 DOI: 10.1016/j.tranpol.2026.104003

Yanhong Yin , Li'ao Huang , Qiuyan Han

Based on the capability approach and social model of disability, this study develops an Elderly Mobility Index (EMI) to evaluate elderly mobility across four dimensions: individual capability, environmental accessibility, technological support, and social support. Using data from 782 elderly individuals in Zhejiang Province and employing entropy weighting, principal component analysis, and regression analysis, the study reveals significant urban-rural disparities. Rural elderly scored 10.30 points lower than urban elderly, with rural elderly women being the most disadvantaged group. A key finding is the “high weight-low performance” contradiction in the technology dimension, where technological support shows low practical performance despite high weighting. EMI demonstrates strong predictive validity through significant correlations with both travel frequency and travel satisfaction. However, the conversion from EMI to travel behavior remains unaffected by urban-rural differences, revealing a dual mechanism of EMI formation and activation. This mechanism operates as a transition mechanism that distinguishes capacity building from capacity utilization. It clarifies how incremental policy interventions move systems from latent capacity to effective mobility outcomes. This breaks through traditional linear “capacity-behavior” assumptions in elderly mobility research. The study proposes a three-layer adaptive governance framework that operationalizes the transition mechanism through EMI monitoring, policy calibration, and performance evaluation. This enables dynamic resource allocation between capacity-building and capacity-utilization interventions. Key policy recommendations follow two pathways: capacity-building interventions target formation deficits through urban-rural infrastructure equalization and education-income mechanisms, while capacity-utilization interventions address activation barriers through unified technology support. Specific measures include mandatory age-friendly certification and intergenerational mentorship programs. The framework offers cross-cultural adaptability while maintaining methodological consistency, promoting inclusive transportation for aging populations worldwide.

本研究基于能力方法和残疾社会模型，从个体能力、环境可及性、技术支持和社会支持四个维度构建老年人流动能力指数（EMI）。利用浙江省782名老年人的数据，运用熵权法、主成分分析法和回归分析法，得出城乡差异显著的结论。农村老年人得分比城市老年人低10.30分，其中农村老年妇女是最弱势的群体。一个关键的发现是技术维度的“高权重-低性能”矛盾，即技术支持虽然权重很高，但实际性能却很低。通过旅行频率和旅行满意度的显著相关，EMI显示出很强的预测效度。然而，从EMI到旅行行为的转化不受城乡差异的影响，揭示了EMI形成和激活的双重机制。这一机制作为一种过渡机制，将能力建设与能力利用区分开来。它阐明了增量政策干预如何将系统从潜在能力转移到有效的流动性结果。这突破了传统的线性“能力-行为”假设。该研究提出了一个三层自适应治理框架，通过EMI监测、政策校准和绩效评估来实施过渡机制。这样就可以在能力建设和能力利用干预措施之间进行动态资源分配。主要政策建议遵循两条途径：能力建设干预措施通过城乡基础设施均等化和教育收入机制解决形成赤字问题，而能力利用干预措施通过统一的技术支持解决激活障碍问题。具体措施包括强制性的年龄友好认证和代际指导计划。该框架在保持方法一致性的同时提供了跨文化适应性，促进了全球老龄化人口的包容性交通。

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引用次数: 0

How will technical progress in electric vehicles affect carbon marginal abatement costs? A CGE analysis incorporating learning-by-doing 电动汽车的技术进步将如何影响碳边际减排成本？结合实践学习的CGE分析

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-04 DOI: 10.1016/j.tranpol.2026.104002

Hong-Dian Jiang , Song-Yang Yan , Shu-Xin Zhang , Qiao-Mei Liang

Abatement costs represent a principal concern of mitigating climate change and technical progress pivotally influences abatement costs. This study intended to explore the impact of technical progress in electric vehicle (EV) industry on China's marginal abatement cost curves (MACCs), examine the technology diffusion effects on sectoral MACCs, and assess the total abatement costs and cost-saving effects for different scenarios to achieve China's NDC targets. Therefore, this study applied a computable general equilibrium model with a detailed transportation module and incorporated the learning-by-doing-based endogenous technical progress of EV industry. Results revealed that, first, technical progress of EVs can effectively reduce China's MACs. The faster pace of progress and the earlier technical changes result in lower MACs for a specific abatement amount in a given year. For example, the MAC under the high learning-by-doing (H_LBD) scenario would decline by 14.3% at the 40% emission reduction level in 2050. Second, technical progress of EVs can significantly reduce sectoral MACs including in the transportation, petroleum and crude oil industries (decreasing by 27–73% under H_LBD scenario at the 40% abatement level in 2050) but can trigger increases in the MACs of electricity, coal and ferrous sectors (increasing by 4.8–43.3% under H_LBD scenario at the 40% abatement level in 2050). Thus, the emission reductions attained by promoting EVs may be partially counteracted. Third, the government can utilise the differential temporal distribution characteristics of abatement costs and cost savings to appropriately reduce the intensities of the existing abatement policies with the degree of technical progress.

减排成本是减缓气候变化的一个主要问题，技术进步对减排成本具有关键影响。本研究旨在探讨电动汽车产业技术进步对中国边际减排成本曲线的影响，考察技术扩散对行业边际减排成本曲线的影响，并评估不同情景下实现中国自主贡献目标的总减排成本和成本节约效果。因此，本研究采用了包含详细交通模块的可计算一般均衡模型，并纳入了基于做中学习的电动汽车产业内生技术进步。结果表明：第一，电动汽车的技术进步可以有效降低中国的mac。更快的进展速度和更早的技术变革导致某一年特定减排量的MACs较低。例如，在高实践经验情景（H_LBD）下，在2050年减排40%的水平下，MAC将下降14.3%。其次，电动汽车的技术进步可以显著降低交通、石油和原油等行业的MACs（在2050年减排40%的H_LBD情景下下降27-73%），但可能引发电力、煤炭和黑色金属行业的MACs增加（在2050年减排40%的H_LBD情景下增加4.8-43.3%）。因此，通过推广电动汽车实现的减排可能会部分抵消。第三，政府可以利用减排成本和成本节约的时间差分布特征，随着技术进步程度适当降低现有减排政策的强度。

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引用次数: 0

Incorporating built environment features in Air Passenger Demand forecasting: A spatial econometric approach for enhancing transport policy and planning 将建筑环境特征纳入航空旅客需求预测：提升运输政策和规划的空间计量经济学方法

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-03 DOI: 10.1016/j.tranpol.2026.104001

SP Sathiya Prabhakaran , Marimuthu Venkadavarahan , Ganesh Raghavendran , Karuppan Gunasekaran

This study explores the determinants of Air Passenger Demand (APD) in India, with a special focus on the role of built environment features alongside geoeconomic and service-related variables. For spatially distributed data of APD, the study attempts to incorporate the spatial interaction effects in the APD model development using spatial econometric techniques with the Bayesian Markov Chain Monte Carlo approach. First, the spatial patterns and intensities of APD are visualized using a desire line diagram, and the cities are classified as low, medium and high to understand the rationale behind APD. Then, Moran's I statistics is used to confirm the presence of spatial autocorrelation of determinants with clustering patterns, and significant variables are used as spatial indicators in the development of the APD model. Also, Local Indicator of Spatial Autocorrelation (LISA) analysis is utilised to understand the dynamic localised spatial information. APD models are developed, and how individual, interaction and combined effects influence APD are explained. The Spatial Durbin Model (SDM) outperformed with a 0.622 posterior model probability for combined interaction effects (geoeconomic, service-related and built environment). The model's significant spatial autoregressive coefficient (α = 0.358) confirms strong spatial interdependence, and the study uses impact decomposition to separate the determinants' direct (own-city) and indirect (spillover) effects. Strategic policies based on this decomposition are proposed to capitalize on these study insights and drive sustainable APD growth in the aviation sector.

本研究探讨了印度航空旅客需求（APD）的决定因素，特别关注建筑环境特征以及地缘经济和服务相关变量的作用。对于空间分布的APD数据，本研究尝试利用空间计量经济技术和贝叶斯马尔可夫链蒙特卡罗方法，将空间相互作用效应纳入APD模型的开发中。首先，利用欲望线图将APD的空间格局和强度可视化，并将城市分为低、中、高三个等级，以了解APD背后的基本原理。然后，利用Moran’s I统计量证实了决定因素与聚类模式之间存在空间自相关，并将显著变量作为APD模型的空间指标。此外，利用局部空间自相关指标（LISA）分析来理解动态的局部空间信息。建立了APD模型，并解释了个体、相互作用和综合效应如何影响APD。空间Durbin模型（SDM）以0.622的后验模型概率优于综合相互作用效应（地缘经济、服务相关和建筑环境）。模型具有显著的空间自回归系数（α = 0.358），证实了较强的空间相互依赖关系，并利用影响分解分离了决定因素的直接（本城）和间接（溢出）效应。提出了基于这种分解的战略政策，以利用这些研究见解并推动航空业APD的可持续增长。

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引用次数: 0

War and geopolitics in the skies: The 12-day Iran-Israel conflict versus airspace safety 天空中的战争和地缘政治：为期12天的伊朗-以色列冲突与空域安全

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-02 DOI: 10.1016/j.tranpol.2025.103986

Mohamed Ben Saed, Abdusalam Faraj Ben Omar , Ghazallah Attia

This study investigates the impact of geopolitical conflict on airspace safety, using the twelve-day Iran-Israel conflict in June 2025 as a central case study. Drawing from international relations and international law theory, this paper studies how political decision-making, legal frameworks, and strategic military operations converge to shape the safety and airspace governance. Despite growing threats to air traffic safety in conflict zones, there remains a significant gap in the literature that integrates international law, political ambition, and aviation regulation into a single analytical framework. To address this gap, this study employs a novel qualitative methodology that combines theoretical insights from international law and politics with real-world evidence, including military deployments, using Abbott's framework of international relations and international law. This article applies qualitative analysis of state actions, politicians' behaviors, and geopolitical strategies, supported by secondary data from international news outlets.

We find that political leaders personal character and ambitions, and military strategies often override airspace safety governance, posing sever risks to air traffic safety management. The study also highlights the limited enforcement capacity of UN-specialized organizations like the ICAO, raising critical question about international aviation governance.

Conclusion

air traffic safety in war zones cannot be effectively safeguarded without stronger legal enforcement and coordinated political will. Bridging international law and aviation safety governance is crucial for managing international airspace safety.

Practical implications

this article calls for stronger ICAO-led coordination during armed conflicts, improved intelligence sharing by states, enhanced airline risk assessment tools, and the establishment of rapid-response aviation safety task force to issue timely, unified safety advisories.

本研究调查了地缘政治冲突对空域安全的影响，以2025年6月为期12天的伊朗-以色列冲突为中心案例研究。本文从国际关系和国际法理论出发，研究政治决策、法律框架和战略军事行动如何共同影响安全和空域治理。尽管冲突地区的空中交通安全面临越来越大的威胁，但将国际法、政治野心和航空监管整合到一个单一分析框架中的文献仍然存在很大差距。为了解决这一差距，本研究采用了一种新颖的定性方法，将国际法和政治的理论见解与现实世界的证据（包括军事部署）结合起来，使用雅培的国际关系和国际法框架。本文在国际新闻媒体的辅助数据支持下，对国家行为、政治家行为和地缘政治战略进行了定性分析。我们发现，政治领导人的个人性格和野心以及军事战略往往凌驾于空域安全治理之上，给空中交通安全管理带来严重风险。该研究还强调了国际民航组织等联合国专门组织有限的执法能力，提出了有关国际航空治理的关键问题。结论没有强有力的执法和协调一致的政治意愿，战区空中交通安全就无法得到有效保障。衔接国际法和航空安全治理对于管理国际空域安全至关重要。本文呼吁在武装冲突期间加强国际民航组织主导的协调，改善各国之间的情报共享，增强航空公司风险评估工具，并建立快速反应航空安全工作组，及时发布统一的安全咨询。

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引用次数: 0

Future projections of Germany's car fleet - Development of a stock-flow cohort model under CO2 performance standards and effects on annual fleet composition, energy demand and emissions 德国汽车车队的未来预测——根据二氧化碳性能标准及其对年度车队组成、能源需求和排放的影响，开发库存流量队列模型

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-02 DOI: 10.1016/j.tranpol.2026.103994

Michael Schulthoff, Philipp Anstett, Marvin Scherzinger, Jelto Lange, Martin Kaltschmitt

引用次数: 0

High-speed rail benchmark train, efficient allocation of factors and industrial transformation and upgrading ——Theoretical model analysis and empirical evidence from 288 cities in China 高铁标杆列车、要素高效配置与产业转型升级——基于中国288个城市的理论模型分析与实证证据

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy

Pub Date : 2026-01-02 DOI: 10.1016/j.tranpol.2026.103991

Peng Wu, Qiong Zhang

As a high-quality product from China State Railway Group, HSR “benchmark” trains may exert an positive impact on the industrial upgrading, and the mechanism needs to be further analyzed. Therefore, using Diamond model and commodity pricing-industrial system upgrading model, theoretically deduces how HSR benchmark trains promote industrial transformation and upgrading through efficient factor allocation. Then manually collects data on HSR benchmark trains across 288 prefecture-level cities in China from 2013 to 2023, develops an industrial level indicator system and empirically examines how HSR benchmark trains affect the industrial transformation and upgrading. The results indicate the following: (1) HSR benchmark trains significantly facilitate the upgrading of cities' level of industrial system, and their role in promoting such upgrading exhibits significant heterogeneity across cities. (2) HSR benchmark trains drive the industrial transformation and upgrading by efficiently allocating technology and human capital; (3) The HSR benchmark trains driven evolution of cities' industrial transformation and upgrading generates positive spatial spillover effects, which show significant heterogeneity depending on inter-city distances and the position relative to the “Hu Huanyong Line”. Results show that accelerating the operation of HSR benchmark trains across cities at all levels not only facilitates the efficient allocation of driving technologies and human capital, but also strongly boosts China's high-quality modern industrial system development.

高铁“标杆”列车作为中铁集团的优质产品，可能对产业升级产生积极影响，其作用机制有待进一步分析。因此，运用Diamond模型和商品定价-产业系统升级模型，从理论上推导出高铁标杆列车如何通过高效的要素配置促进产业转型升级。然后人工采集2013 - 2023年中国288个地级市的高铁标杆列车数据，构建产业层面指标体系，实证检验高铁标杆列车对产业转型升级的影响。研究结果表明：(1)高铁标杆列车对城市产业体系水平提升具有显著促进作用，且其促进作用在城市间呈现显著异质性。(2)高铁标杆列车通过高效配置技术和人力资本，带动产业转型升级；③高铁标杆列车驱动的城市产业转型升级演化产生正向的空间溢出效应，且随着城际距离和相对于“胡焕庸线”位置的不同，空间溢出效应呈现显著的异质性。结果表明，加快高铁标杆列车在各级城市之间的运行，不仅有利于驱动技术和人力资本的有效配置，而且有力地推动了中国高质量的现代工业体系发展。

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引用次数: 0