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Institutional spillovers and energy efficiency in maritime transport: Evidence from the EU MRV dataset 海运的制度溢出和能源效率:来自欧盟MRV数据集的证据
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-21 DOI: 10.1016/j.tranpol.2026.104031
Javier Vaca-Cabrero , Alberto Camarero-Orive , Nicoletta González-Cancelas
Improving energy efficiency in maritime transport is a key pillar of decarbonization policy. While existing studies often focus on individual vessels or aggregate trends, this paper introduces a spatial-institutional perspective to explore how regulatory and operational interdependencies among flag states influence ship-level efficiency. Using vessel-level data from the EU Monitoring, Reporting and Verification (MRV) system, it is applyed a Spatial Durbin Model (SDM) to assess whether improvements in technical efficiency diffuse across ports of registry. Results confirm significant institutional spillover effects: a vessel's efficiency is positively influenced by the performance of ships registered under the same or administratively related flags. Fuel consumption and CO2 emissions are negatively associated with efficiency, while time at sea shows a positive relationship. Counterfactual scenarios indicate that targeted fuel-reduction policies could trigger amplified efficiency gains through institutional multipliers. The findings suggest that registry governance, regulatory alignment, and cooperative mechanisms under frameworks like the EU ETS can enhance sector-wide decarbonization. This study contributes to the literature by introducing a spatial–institutional perspective on maritime energy efficiency, empirically quantifying registry-based spillover effects using vessel-level MRV data, and providing policy-relevant insights for coordinated decarbonization strategies within multilevel transport governance systems.
提高海上运输的能源效率是脱碳政策的关键支柱。虽然现有的研究往往侧重于单个船舶或总体趋势,但本文引入了空间-制度视角,探讨船旗国之间的监管和运营相互依赖如何影响船级效率。利用来自欧盟监测、报告和核查(MRV)系统的船舶级数据,应用空间德宾模型(SDM)来评估技术效率的提高是否会扩散到各注册港口。结果证实了显著的制度溢出效应:船舶的效率受到在相同或行政相关旗帜下注册的船舶的绩效的积极影响。燃料消耗和二氧化碳排放与效率呈负相关,而在海上停留的时间则呈正相关。反事实情景表明,有针对性的减少燃料政策可以通过制度乘数效应放大效率增益。研究结果表明,欧盟碳排放交易体系等框架下的注册管理、监管协调和合作机制可以促进全行业的脱碳。本研究通过引入海洋能源效率的空间-制度视角,利用船舶级MRV数据对基于登记的溢出效应进行实证量化,并为多层次运输治理系统内的协调脱碳战略提供政策相关见解,为文献做出了贡献。
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引用次数: 0
Investigating container-truck drivers’ choice preferences toward different parking modes in port cities: A stated preference case study 港口城市集装箱货车司机对不同停车方式的选择偏好:陈述偏好案例研究
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-20 DOI: 10.1016/j.tranpol.2026.104027
Xiaofeng Pan , Xunqian Chen , Shaobo Liu
This paper aims to investigate the preferences of container truck drivers to choose different parking modes (i.e., exclusive parking, shared parking and nearby parking) in port cities. Stated choice data of container truck drivers' parking choice are collected based on an online survey carried out in Beilun, a part of the Ningbo-Zhoushan port of China. Discrete choice models are applied and estimated based on the collected data. In addition, the analyses of willingness-to-pay and marginal effect are carried out as well. The final results show the following conclusions. First, in terms of alternative-specific attributes, the attributes “distance from parking space to the residence”, “distance from parking space to the nearest port”, “parking fee”, “fine for illegal parking”, “number of stock dumps within 5 km of the parking space”, “whether the parking space has a monitoring system” and “whether there are shared bikes near the parking space” have significant heterogeneous influences on drivers' choice behavior. Second, in terms of personal attributes, drivers' age and education level have significant effects. Third, container truck drivers would like to pay ¥14.44 per month in average to make 1 km shorter of the distance from the parking space to drivers’ residential locations, and would like to pay ¥44.80 per month in average to make 1 km shorter of the distance from the parking space to the nearest port. Fourth, decreasing the distance from the parking space to the residence and improving the education level of container truck drivers show significant marginal effects toward the market share of shared parking. Based on these conclusions, relevant policy recommendations are proposed to related stakeholders.
本文旨在研究港口城市集装箱货车司机在选择不同停车模式(专属停车、共享停车和就近停车)时的偏好。集装箱货车司机停车选择的陈述选择数据是基于在中国宁波-舟山港口北仑进行的一项在线调查收集的。采用离散选择模型,并根据收集到的数据进行估计。此外,还对支付意愿和边际效应进行了分析。最终结果表明:首先,在替代属性方面,“车位到住所的距离”、“车位到最近港口的距离”、“停车费”、“违例停车罚款”、“车位周边5公里内库存堆存数量”、“车位是否有监控系统”、“车位附近是否有共享单车”等属性对驾驶员的选择行为具有显著的异质性影响。第二,在个人属性方面,驾驶员的年龄和受教育程度有显著影响。第三,集装箱卡车司机愿意每月平均支付14.44日元,将停车位到司机居住地的距离缩短1公里;愿意每月平均支付44.80日元,将停车位到最近的港口的距离缩短1公里。第四,减少车位到居民住所的距离和提高集装箱货车驾驶员的文化程度对共享停车的市场占有率有显著的边际效应。基于这些结论,向相关利益相关者提出相关政策建议。
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引用次数: 0
Initiating barrier-free ride services for disabled passengers: An empathy training program designed for taxi drivers 为残疾乘客提供无障碍乘车服务:为出租车司机设计的同理心培训项目
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-19 DOI: 10.1016/j.tranpol.2026.104025
Shi Ye , Xiaowen Fu , Kun Wang , Tiantian Chen
Despite growing efforts to improve accessibility, people with disabilities often face persistent mobility challenges and reduced willingness to travel. Due to this unmet need, many cities are piloting barrier-free ride services as an innovative solution. Aside from vehicle adaptations, taxi drivers' professionalism and empathy remain crucial to ensuring quality service. The purpose of this study was to design and evaluate an empathy training program tailored for taxi drivers who serve passengers with disabilities. A two-day training program was developed to address cognitive, affective, and behavioral empathy. A total of thirty professional taxi drivers participated in our study, completing self-reported empathy scales and simulator-based driving tests before and after training. Changes in attitudes and behavior after training were evaluated using paired t-tests. Results demonstrate that the training significantly enhanced drivers' empathy toward passengers with disabilities, as demonstrated by improved scores on context-specific empathy scales. There was also evidence of positive results in objective driving measures: drivers exhibited lower variability in G-force, yaw rate, and speed, indicating smoother, more stable, and more passenger-friendly driving behavior. Further feedback revealed strong support for the program, with many drivers expressing their willingness to undergo refresher training. Together, these findings demonstrate the feasibility and necessity of empathy training as a complement to barrier-free ride initiatives. This study contributes to a broader discussion of transportation equity by demonstrating that human-centered service practices are just as important as infrastructure in promoting inclusive and dignified mobility.
尽管改善无障碍环境的努力越来越多,但残疾人经常面临持续的行动不便和出行意愿下降的挑战。由于这一未满足的需求,许多城市正在试点无障碍乘车服务,作为一种创新的解决方案。除了车辆适应性外,出租车司机的专业精神和同理心对确保优质服务至关重要。本研究的目的是设计并评估一套为计程车司机服务残障乘客的同理心训练方案。一个为期两天的培训项目被开发出来,以解决认知、情感和行为上的同理心。共有30名专业出租车司机参与了我们的研究,在培训前后分别完成了自述共情量表和模拟器驾驶测试。训练后态度和行为的变化采用配对t检验进行评估。结果表明,培训显著提高了驾驶员对残疾乘客的共情能力,具体表现为情境共情量表得分的提高。在客观驾驶测量方面也有积极的结果:驾驶员在重力、偏航率和速度方面表现出更低的可变性,这表明驾驶行为更平稳、更稳定、更有利于乘客。进一步的反馈显示了对该计划的强烈支持,许多司机表示愿意接受进修培训。总之,这些研究结果证明了移情训练作为无障碍乘车倡议补充的可行性和必要性。本研究表明,在促进包容和有尊严的交通方面,以人为本的服务实践与基础设施一样重要,有助于对交通公平进行更广泛的讨论。
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引用次数: 0
Joint analysis of intervals and injury severities involving the same driver: A novel multivariate joint survival model approach 涉及同一驱动因素的关节间隔和损伤严重程度的联合分析:一种新的多元关节生存模型方法
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-19 DOI: 10.1016/j.tranpol.2026.104023
Dongdong Song , Xiaobao Yang
Survival analysis has emerged as a powerful tool for predicting traffic accident recurrence, yet traditional univariate approaches fail to account for the interdependence between recurrent events (e.g., minor and no-injury accidents) and terminal events (e.g., severe injury or fatal accidents) experienced by the same driver. This study proposes a novel multivariate joint survival model to simultaneously analyze the temporal correlations between accidents of varying injury severities involving the same driver. Utilizing a dataset of 800 drivers from a southwestern Chinese city (2016–2020), we classify accidents into three severity categories: severe injury (SI), minor injury (MI), and no injury (NI). The recurrent events (MI and NI) and terminal event (SI) are jointly modeled using a frailty-based framework to quantify their interdependencies. Key findings include: (1) Most drivers have an initial period of increasing crash risk, ranging from 0 to 270 days, where the likelihood of a crash increases the longer drivers go without having a crash. (2) The developed multivariate joint survival model overcomes the limitations of traditional univariate survival models, where significant variables may be overlooked and parameter estimates tend to be underestimated. (3) Positive correlations exist between recurrent and terminal events involving the same driver, with stronger associations for MI-SI (0.904, p = 0.0000) than NI-SI (0.589, p = 0.0000). (4) Driver and vehicle related characteristics are identified as risk factors for both types of recurrent events, as well as the terminal event. For example, novice drivers (with less than 3 years of driving experience) exhibit 230.7 % and 293.3 % higher risks of NI and SI accidents, respectively. Elderly drivers (aged 60 and above) face elevated risks across all severities, with rates ranging from 11.6 % to 23.6 %. While road and environmental characteristics only significantly affect both types of recurrent events. For example, complex road geometries (e.g., curved slopes) reduce MI risks by 33.2 %, while low visibility (50–100 m) increases NI risks by 45.2 %. These findings provide valuable insights for traffic safety modeling and analysis by examining the correlations among different accidents involving the same driver, and offer critical support for decision-making in risk warning and the proactive prevention of accidents with varying injury severities.
生存分析已经成为预测交通事故复发的有力工具,然而传统的单变量方法无法解释同一驾驶员经历的复发事件(如轻微和无伤害事故)和最终事件(如严重伤害或致命事故)之间的相互依存关系。本研究提出了一种新的多变量关节生存模型,以同时分析涉及同一驾驶员的不同伤害严重程度的事故之间的时间相关性。利用来自中国西南城市(2016-2020)的800名司机的数据集,我们将事故分为三种严重程度:严重伤害(SI),轻微伤害(MI)和无伤害(NI)。循环事件(MI和NI)和终端事件(SI)使用基于脆弱性的框架联合建模,以量化它们的相互依赖性。主要发现包括:(1)大多数驾驶员的初始碰撞风险增加期从0天到270天不等,在此期间,驾驶员不发生碰撞的时间越长,发生碰撞的可能性就越大。(2)建立的多变量联合生存模型克服了传统单变量生存模型容易忽略重要变量和参数估计容易被低估的局限性。(3)涉及同一驱动因素的复发事件与终末事件之间存在正相关关系,其中MI-SI (0.904, p = 0.0000)强于NI-SI (0.589, p = 0.0000)。(4)驾驶员和车辆相关特征被确定为两种类型的复发事件和终端事件的危险因素。例如,新手司机(少于3年的驾驶经验)发生NI和SI事故的风险分别高出230.7%和293.3%。老年司机(60岁及以上)在所有严重程度上都面临更高的风险,比例从11.6%到23.6%不等。而道路和环境特征只显著影响这两种类型的经常性事件。例如,复杂的道路几何形状(如弯曲的斜坡)使MI风险降低33.2%,而低能见度(50-100米)使NI风险增加45.2%。这些研究结果通过分析涉及同一驾驶员的不同事故之间的相关性,为交通安全建模和分析提供了有价值的见解,并为风险预警决策和不同伤害严重程度事故的主动预防提供了重要支持。
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引用次数: 0
Mode choice between metro, bus, and ride-hailing: Revealed preference evidence with crowding effects 地铁、公交和网约车的出行方式选择:基于拥挤效应的偏好证据
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-17 DOI: 10.1016/j.tranpol.2026.104019
Raúl Pezoa , Franco Basso , Marco Batarce , Louis de Grange , Rodrigo De La Puerta , Fernando Feres , Mauricio Varas
The rapid growth of ride-hailing platforms has fundamentally altered urban mobility patterns, creating new competitive dynamics with established public transit systems. This study examines modal preferences using trip-level behavioral data from Santiago, Chile, combining smart card transactions and ride-hailing records to understand how travelers trade off service attributes. Our analysis employs econometric models that address endogeneity in both crowding levels and dynamic pricing through instrumental variables. Results demonstrate that passenger density significantly amplifies travel time disutility, with crowding effects substantially higher than previous stated preference estimates suggest. In this regard, the presence of a premium mobility alternative increases commuters’ aversion to crowded conditions. These findings have significant policy implications, as they suggest that in contexts where premium mobility alternatives are available or emerging, capacity planning based on traditional crowding valuations may be inadequate for contemporary urban environments and could result in insufficient public transportation provision.
网约车平台的快速发展从根本上改变了城市交通模式,与现有的公共交通系统形成了新的竞争格局。本研究利用来自智利圣地亚哥的出行行为数据,结合智能卡交易和网约车记录,考察了出行模式偏好,以了解旅行者如何权衡服务属性。我们的分析采用计量经济模型,通过工具变量解决拥挤水平和动态定价的内生性问题。结果表明,乘客密度显著放大了旅行时间的负效用,拥挤效应大大高于先前的偏好估计。在这方面,优质交通选择的存在增加了通勤者对拥挤状况的厌恶。这些发现具有重要的政策意义,因为它们表明,在优质交通替代方案可用或正在出现的情况下,基于传统拥挤评估的容量规划可能不适合当代城市环境,并可能导致公共交通供应不足。
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引用次数: 0
R&D investment strategies of robotaxi services: The role of cost variation and consumers’ trust 机器人出租车服务的研发投资策略:成本变化和消费者信任的作用
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-16 DOI: 10.1016/j.tranpol.2026.104021
Ke Lu , Danping Wen , Heng Du
The promotion of robotaxi services can improve the efficiency and sustainability of urban transportation while requires substantial research and development (R&D) investment in relevant technologies. This study intends to investigate the strategies of R&D investment for robotaxi services by considering a supply chain that includes an automobile manufacturer, a robotaxi platform, and consumers. Two scenarios are considered, where either the automobile manufacturer or the robotaxi platform undertakes the investment. In addition, this study analyzes the effects of unit investment cost variations, consumer trust, and government subsidy. Further, this study extends the main models to incorporate the effects of market size variations, consumer-targeted subsidies, fleet size, and simultaneous investment. The results are presented as follows. (1) In both scenarios, the level of R&D investment is negatively affected by unit cost while positively impacted by government subsidy and consumers’ trust. (2) The analysis identifies two thresholds for the robotaxi platform’s unit R&D cost variation. If the cost variation is above the upper threshold, the automobile manufacturer will undertake R&D investment. Otherwise, if the cost variation is below the lower threshold, the robotaxi platform will undertake R&D investment. (3) Lower R&D investment unit cost, higher degree of government subsidy, and greater degree of consumers’ trust jointly promote the formation of equilibrium strategies. Overall, whether the automobile manufacturer or the robotaxi platform undertakes R&D investment is jointly affected by relative investment costs of both stakeholders, consumers’ trust, and government subsidy. Therefore, this study offers both theoretical and practical implications for R&D investment in robotaxi services.
推广自动驾驶出租车服务可以提高城市交通的效率和可持续性,但需要在相关技术上进行大量的研发投资。本研究拟通过考虑包括汽车制造商、自动驾驶出租车平台和消费者在内的供应链来探讨自动驾驶出租车服务的研发投资策略。考虑两种情况,即汽车制造商或机器人出租车平台承担投资。此外,本研究还分析了单位投资成本变动、消费者信任和政府补贴的影响。此外,本研究扩展了主要模型,纳入了市场规模变化、消费者目标补贴、车队规模和同步投资的影响。结果如下:(1)在两种情景下,研发投入水平均受到单位成本的负向影响,而受到政府补贴和消费者信任的正向影响。(2)分析确定了机器人出租车平台单位研发成本变化的两个阈值。如果成本变化高于上限,汽车制造商将进行研发投资。否则,如果成本变化低于下阈值,则机器人出租车平台将进行研发投资。(3)较低的研发投入单位成本、较高的政府补贴程度和较高的消费者信任程度共同促进了均衡策略的形成。总体而言,汽车制造商还是自动驾驶出租车平台进行研发投资,受到利益相关者双方相对投资成本、消费者信任和政府补贴的共同影响。因此,本研究对机器人出租车服务的研发投资具有理论和实践意义。
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引用次数: 0
Do NEV subsidy cuts crowd out housing prices? Evidence from Shanghai, China 新能源汽车补贴的削减会挤压房价吗?证据来自中国上海
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-14 DOI: 10.1016/j.tranpol.2026.104020
Yuhang Mai
The interactions between transport policies and housing market, especially through subsidy adjustments, are not fully understood. This study investigates how Shanghai's 2016 new energy vehicle (NEV) subsidy cuts affected housing market by examining households' budget reallocation in response to the rising NEV costs. Using a difference-in-differences method and resold property transaction data, I find that properties in policy-affected areas decline by 4.38 % relative to the control group. The decline was most pronounced for middle-priced properties, aligning with the fact that middle-income households are the primary adopters of NEVs. Moreover, suburban properties were less affected than downtown ones. Analysis of household expenditure confirms that, following subsidy cuts, more households relocated budget from housing to vehicle through purchasing lower-unit-price properties. This study reveals a previously overlooked mechanism linking the transportation and real estate sectors, underscoring the need for policymakers to consider cross-sectoral budget shifts when designing economic stimulus measures.
交通政策与住房市场之间的相互作用,特别是通过补贴调整的相互作用,尚未得到充分认识。本研究考察了上海市2016年新能源汽车补贴削减对住房市场的影响,考察了家庭因新能源汽车成本上升而进行的预算再分配。使用差异中的差异方法和二手房交易数据,我发现受政策影响地区的房价相对于对照组下降了4.38%。这种下降在中等价位的房产中最为明显,这与中等收入家庭是新能源汽车的主要用户这一事实相一致。此外,郊区房产受到的影响要小于市中心。对家庭支出的分析证实,在补贴削减之后,更多的家庭通过购买单价较低的房产,将预算从住房转移到汽车上。这项研究揭示了一个以前被忽视的连接交通和房地产部门的机制,强调了政策制定者在设计经济刺激措施时考虑跨部门预算变化的必要性。
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引用次数: 0
Orchestrating smart transportation resources for regional transport resilience: evidence from institutional constraint settings 协调区域交通弹性的智能交通资源:来自制度约束设置的证据
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-13 DOI: 10.1016/j.tranpol.2026.104016
Longfei Xue , Yeming Gong , Yuqian Shi , Xianhao Xu
As carbon reduction imperatives reshape transport governance, understanding how smart transportation capabilities jointly generate resilience under institutional constraints has become increasingly critical. Prior research typically examines single capabilities in isolation, overlooking the configurational nature of resilience formation. Drawing on institutional theory and resource orchestration theory, this study investigates how distinct combinations of transport infrastructure and informatization capabilities contribute to regional transport resilience, measured as efficiency loss using a directional distance function across 30 Chinese provinces (2014–2020). A dynamic QCA approach identifies multiple capability configurations that can compensate for institutional pressures, with service capacity and communication technologies emerging as recurrent core drivers. Complementary hierarchical regression and random forest analyses reveal heterogeneous effects and capability importance patterns. By theorizing resilience as a multi-capability, institutionally embedded configuration rather than a linear outcome, this study advances resilience theory and offers insight for designing adaptive and resource-efficient smart transportation systems.
随着碳减排的必要性重塑交通治理,理解智能交通能力如何在制度约束下共同产生弹性变得越来越重要。先前的研究通常是孤立地考察单一能力,忽视了弹性形成的构型本质。利用制度理论和资源协调理论,本研究考察了交通基础设施和信息化能力的不同组合对区域交通弹性的贡献,并利用中国30个省份(2014-2020年)的定向距离函数以效率损失来衡量。动态QCA方法确定了可以补偿制度压力的多种能力配置,其中服务能力和通信技术作为经常性的核心驱动因素出现。互补层次回归和随机森林分析揭示了异质性效应和能力重要性模式。通过将弹性理论化为一种多功能、制度嵌入的配置,而不是线性结果,本研究推进了弹性理论,并为设计适应性强、资源高效的智能交通系统提供了见解。
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引用次数: 0
Partial backward integration in maritime supply chain with duopoly carriers: Incentive analysis and decision-making volatility 双寡头海运供应链的部分后向整合:激励分析与决策波动
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-13 DOI: 10.1016/j.tranpol.2026.104018
Zongbao Zou , Lihao Chen , Haolin Huang , Zihan Chen , Xiangzhi Bu , Xiaofan Lai
Considering a maritime supply chain comprising a port and two competing carriers, we analyze their incentive for partial backward integration (PBI), a popular practice in maritime industry, where carriers acquire a portion share of the port. The analysis results reveal that the port is only willing to form PBI with the carrier who has a relatively larger potential market size. We find that, if and only if the non-acquiring carrier’s potential market size is neither too small nor too large, PBI will increase the total profit of the maritime supply chain. In addition, the optimal PBI percentage falls within a moderate range, generally under fifty percent. Moreover, the optimal percentage of PBI increases whenever any one of the competitive intensities, the potential market size of the nonacquiring carrier, or demand uncertainty grows. Interestingly, under the PBI strategy, both the acquiring carrier and the nonacquiring carrier exhibit reduced coefficients of variation in the freight rate when facing demand uncertainty, which indicates that PBI is able to mitigate the impact of market demand uncertainty on pricing decisions for both carriers.
考虑一个由港口和两个竞争承运人组成的海上供应链,我们分析了他们对部分后向整合(PBI)的激励,这是航运业中普遍的做法,其中承运人获得港口的部分份额。分析结果表明,港口只愿意与潜在市场规模相对较大的运营商形成PBI。我们发现,当且仅当非收购承运人的潜在市场规模既不太小也不太大时,PBI将增加海上供应链的总利润。此外,最佳的PBI百分比落在一个适中的范围内,通常低于50%。此外,当竞争强度、非收购运营商的潜在市场规模或需求不确定性中的任何一种增加时,PBI的最佳百分比都会增加。有趣的是,在PBI策略下,当面对需求不确定性时,获取承运人和非获取承运人的运价变化系数都降低了,这表明PBI能够减轻市场需求不确定性对两家承运人定价决策的影响。
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引用次数: 0
Perceptions of driverless vehicles among social media influencers in China: A case analysis of Apollo Go 中国社交媒体网红对无人驾驶汽车的看法:以阿波罗号为例分析
IF 6.3 2区 工程技术 Q1 ECONOMICS Pub Date : 2026-01-13 DOI: 10.1016/j.tranpol.2026.104017
Han Huang , Yu Jiang , Zicheng Wang , Wanqi Ma
As one of the world's largest driverless taxi service providers, the Apollo Go program has attracted significant public attention, and understanding public attitudes toward it is critical for assessing the broader acceptance of driverless vehicles (DVs). However, studies that examine Chinese public perceptions of Apollo Go from the perspective of social media influencers (SMIs) remain scarce. Therefore, this study investigates SMIs perceptions of DVs through the case of Apollo Go, drawing on 41,312 valid Sina Weibo posts collected between August 18, 2021, and September 30, 2024. Based on stakeholder and topic characteristics, SMIs were categorized into seven groups. First, this study analyzed the forwarding network to reveal the information dissemination relationships among SMIs on the Sina Weibo platform. Second, for sentiment analysis, this study proposed a RoBERTa-enhanced TextCNN with BiLSTM-Attention based on Apollo Go model, which incorporates a multi-feature fusion attention mechanism to capture both local patterns and long-range dependencies. Furthermore, the BERTopic algorithm was applied to cluster the positive and negative texts of each SMI group, uncovering multidimensional perceptions of DVs across different stakeholder categories. The study finds that bloggers and media accounts dominate discussions on driverless technology, with centralized dissemination. Negative sentiments dominate, especially among ordinary users. Across groups, common concerns include technological immaturity, safety, commercialization, and employment. These findings highlight the barriers to SMIs' acceptance of driverless taxi services in China and call for greater attention to technical readiness, social trust, employment, and regulatory governance to support sustainable adoption.
作为世界上最大的无人驾驶出租车服务提供商之一,阿波罗Go计划吸引了公众的广泛关注,了解公众对该计划的态度对于评估无人驾驶汽车(DVs)的广泛接受程度至关重要。然而,从社交媒体影响者(SMIs)的角度考察中国公众对阿波罗Go的看法的研究仍然很少。因此,本研究以阿波罗登月为例,利用从2021年8月18日至2024年9月30日收集的41312条有效新浪微博,调查了smi对DVs的看法。根据利益相关者和主题特征,smi被分为7类。首先,本研究对转发网络进行了分析,揭示了微博平台上微信用户之间的信息传播关系。其次,在情感分析方面,本研究提出了基于Apollo Go模型的roberta增强TextCNN与BiLSTM-Attention,该模型结合了多特征融合注意机制来捕获局部模式和远程依赖关系。此外,BERTopic算法应用于聚类每个SMI组的正面和负面文本,揭示了不同利益相关者类别对DVs的多维感知。研究发现,博客和媒体账户主导了无人驾驶技术的讨论,传播集中。负面情绪占主导地位,尤其是在普通用户中。在各个群体中,共同关注的问题包括技术不成熟、安全、商业化和就业。这些发现凸显了中小企业在中国接受无人驾驶出租车服务的障碍,并呼吁更多地关注技术准备、社会信任、就业和监管治理,以支持可持续采用。
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Transport Policy
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