International Journal of Sustainable Transportation最新文献

Is bus riding always lower-carbon than driving? Quantifying passenger-level carbon reduction potential for bus travel incentives in China 乘坐公共汽车总是比开车低碳吗？量化中国公交出行激励措施的乘客碳减排潜力

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-03-04 Epub Date: 2025-10-04 DOI: 10.1080/15568318.2025.2570326

Shichao Sun , Xiaohua Liu

This study addresses a critical gap in China’s innovative bus-travel carbon incentive policies, which currently lack precision in quantifying per-trip emissions due to methodological limitations in existing approaches. A data-driven paradigm integrating smartcard data, automated bus location data, and online mapping platforms (Gaode Map) is introduced to develop a dynamic per-mode per-capita carbon emission model. This model captures the spatiotemporal variations in carbon savings from bus travel by accounting for two essential factors: operational dynamics (such as real-time speed changes due to traffic congestion) and fluctuations in passenger load (i.e. occupancy rates across different routes and times of day). The resulting framework delivers accurate, trip-level emission estimates, enabling robust comparison with counterfactual private car trips used as a baseline. This provides an empirically grounded basis for designing effective incentive mechanisms. Further analysis reveals considerable spatiotemporal heterogeneity in emission reductions, with carbon savings varying significantly by time of day and geographic region. These patterns support the design of tailored incentives that account for local and temporal conditions. Notably, the study challenges the prevailing assumption that bus travel is invariably more carbon-efficient than private car use. Instead, findings demonstrate the carbon advantage of bus travel is “conditionally relative,” highly dependent on contextual factors such as occupancy levels. Based on these insights, this study offers targeted recommendations for refining current incentive policies, contributing to smarter, evidence-based sustainable transport strategies both in China and globally.

本研究解决了中国创新公交出行碳激励政策的一个关键缺口，由于现有方法的局限性，目前中国的公交出行碳激励政策在量化单次出行碳排放方面缺乏准确性。引入数据驱动范式，将智能卡数据、自动公交位置数据和在线地图平台（高德地图）集成在一起，建立了一个动态的各模式人均碳排放模型。该模型通过考虑两个基本因素，即运营动态（如交通拥堵导致的实时速度变化）和乘客负荷波动（即不同路线和一天中不同时间的入住率），捕捉了公共汽车旅行碳节约的时空变化。由此产生的框架提供了准确的出行水平排放估算，能够与作为基线的反事实私家车出行进行有力的比较。这为设计有效的激励机制提供了实证依据。进一步的分析表明，碳减排存在相当大的时空异质性，碳减排在一天中的不同时间和地理区域之间存在显著差异。这些模式支持根据当地和时间条件设计量身定制的激励措施。值得注意的是，这项研究挑战了普遍的假设，即公共汽车旅行总是比私家车更节能。相反，研究结果表明，公共汽车旅行的碳优势是“有条件相对的”，高度依赖于入住率等环境因素。基于这些见解，本研究提出了有针对性的建议，以完善当前的激励政策，为中国和全球更智能、基于证据的可持续交通战略做出贡献。

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引用次数: 0

The role of government policies in promoting sustainable port competition and multimodal transportation: A spatial game theory approach 政府政策在促进可持续港口竞争和多式联运中的作用：一个空间博弈论方法

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-03-04 Epub Date: 2025-10-27 DOI: 10.1080/15568318.2025.2580365

Mojdeh Younesi , Maryam Esmaeili

Competition among ports in regions with uneven inland transport infrastructure presents complex challenges for sustainable development. This paper examines two ports, one with multimodal rail-road access and the other with road-only access, competing over a shared hinterland of spatially dispersed customers using a spatial Stackelberg game. A government, acting as the Stackelberg leader, implements Equity Initiative Programs (EIPs) such as subsidies, emission taxes, and freight discounts, aiming to achieve objectives like economic efficiency, social welfare, and environmental sustainability. Notably, emission taxes alone have limited environmental impact without complementary rail investments. This model is illustrated through the case of Shahid Bahonar and Chabahar ports in Iran. Results reveal that multimodal transportation infrastructure offers a competitive advantage and that integrated EIPs can mitigate infrastructural deficiencies. Multimodal ports consistently capture larger market shares, especially under environmental policies that simultaneously enhance employment opportunities and ecological performance. Employment generation is notably higher at multimodal ports, particularly for high-value cargo. These findings highlight the importance of comprehensive, integrated policy frameworks that promote fair and sustainable port development, particularly in regions with inadequate infrastructure.¹

在内陆运输基础设施不均衡的地区，港口之间的竞争对可持续发展提出了复杂的挑战。本文研究了两个港口，一个具有多式联运铁路通道，另一个具有公路通道，使用空间Stackelberg博弈在空间分散的客户共享腹地上竞争。政府作为Stackelberg的领导者，实施公平倡议计划（eip），如补贴、排放税和货运折扣，旨在实现经济效率、社会福利和环境可持续性等目标。值得注意的是，如果没有配套的铁路投资，单靠排放税对环境的影响有限。以伊朗的Shahid Bahonar和Chabahar港口为例说明了这一模式。结果表明，多式联运基础设施提供了竞争优势，综合的EIPs可以缓解基础设施的不足。多式联运港口持续占据更大的市场份额，特别是在同时提高就业机会和生态绩效的环境政策下。多式联运港口创造的就业机会明显更高，特别是高价值货物。这些调查结果突出了促进公平和可持续港口发展的全面综合政策框架的重要性，特别是在基础设施不足的地区

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引用次数: 0

Approaches to reduce total waiting time at single charging stations: High-occupancy priority vs. two types of credit-based paid access 减少单个充电站总等待时间的方法：高优先级与两种基于信用的付费访问

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-03-04 Epub Date: 2025-10-13 DOI: 10.1080/15568318.2025.2572822

Hongbo Yi , Yugang Liu , Mónica Menéndez , Xinrui Yu , Yu Zhan

Prolonged waiting times at charging stations are a major barrier to the widespread use of electric vehicles, and the traditional first-come, first-served (FCFS) approach is no longer effective in reducing total waiting time. Motivated by high-occupancy vehicle (HOV) strategies and tradable credit-based strategies of road network systems, we introduce three innovative approaches that can significantly decrease the total waiting time at charging stations: an HOV-priority approach, a tradable credit-based peer-to-peer (P2P) approach, and a tradable credit-based peer-to-regulator (P2R) approach. We further analyze the operational mechanisms of these three innovative approaches and propose their respective mathematical formulations. Lastly, the performance of the proposed approaches is validated through a series of numerical experiments. Results indicate that all three approaches substantially reduce the total waiting times compared to FCFS, with the P2P approach providing the most significant reduction. Managerial insights are also provided based on sensitivity analysis.

在充电站等待时间过长是电动汽车广泛使用的主要障碍，传统的先到先得（FCFS）方法已不再有效地减少总等待时间。在高载客量车辆（HOV）策略和基于可交易信用的道路网络系统策略的激励下，我们引入了三种可以显著减少充电站总等待时间的创新方法：HOV优先方法、基于可交易信用的点对点（P2P）方法和基于可交易信用的点对监管机构（P2R）方法。我们进一步分析了这三种创新方法的运行机制，并提出了各自的数学公式。最后，通过一系列数值实验验证了所提方法的性能。结果表明，与FCFS相比，所有三种方法都大大减少了总等待时间，其中P2P方法提供了最显著的减少。在敏感性分析的基础上，还提供了管理见解。

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引用次数: 0

Identifying evaluation indicators for sustainable urban transportation in the era of autonomous vehicles: A combined approach of importance-performance analysis and Kano three-factor theory model 自动驾驶汽车时代城市可持续交通评价指标的确定：重要性-绩效分析与Kano三因素理论模型的结合方法

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-03-04 Epub Date: 2025-10-17 DOI: 10.1080/15568318.2025.2576095

Yue Hu , Chao Yang , Quan Yuan , Tuqiang Zhou

As the sustainability impacts of autonomous vehicles (AVs) on urban environments remain unexplored, this study proposes a three-stage framework to identify key indicators for sustainable urban transportation (SUT) in the context of AVs. The first stage involves conducting a literature review to derive a set of candidate indicators which encompass economic, social, and environmental dimensions. In the second stage, Importance-Performance Analysis (IPA) is employed to classify these indicators into four quadrants, based on their current performance in existing transportation systems and their significance for SUT in an AVs-incorporated future. In the third stage, Kano’s three-factor theory is utilized to enhance the robustness of the evaluation by identifying and classifying indicators with high importance for AVs, accounting for their performance in a non-linear and asymmetric manner. Ultimately, the study develops a set of 15 indicators—Sustainable Urban Transportation: Economic, Social, and Environmental Indicators for AVs (SUTESEI-AVs)—to evaluate the impacts of AVs on SUT and provide a foundation for scientifically grounded transportation policy recommendations. The results support evidence-based policy development for integrating AVs into urban systems, while also facilitating global benchmarking and fostering collaboration among cities to address the challenges and opportunities of AV deployment.

由于无人驾驶汽车（AVs）对城市环境的可持续性影响尚未得到探索，本研究提出了一个三阶段框架，以确定自动驾驶汽车背景下可持续城市交通（SUT）的关键指标。第一阶段包括进行文献综述，以得出一套涵盖经济、社会和环境方面的候选指标。在第二阶段，使用重要性绩效分析（IPA）将这些指标分为四个象限，基于它们在现有交通系统中的当前表现以及它们在纳入自动驾驶汽车的未来中对SUT的重要性。在第三阶段，利用Kano的三因素理论，通过识别和分类自动驾驶汽车的高重要性指标，以非线性和不对称的方式对其性能进行核算，提高评价的稳健性。最后，该研究制定了一套15个指标——可持续城市交通：自动驾驶汽车的经济、社会和环境指标（SUTESEI-AVs）——以评估自动驾驶汽车对城市交通的影响，并为科学的交通政策建议提供基础。研究结果支持以证据为基础的政策制定，将自动驾驶汽车整合到城市系统中，同时促进全球基准测试，促进城市之间的合作，以应对自动驾驶汽车部署的挑战和机遇。

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引用次数: 0

Examining the associations between the built environment and older adults’ walking behavior: Spatial and distributional heterogeneity 研究建筑环境与老年人步行行为之间的关系：空间和分布异质性

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-03-04 Epub Date: 2025-10-14 DOI: 10.1080/15568318.2025.2573742

Dong Wei , Jie Chen , Yuxiao Jiang , Linchuan Yang

Population aging has emerged as a major global challenge, and China is experiencing this demographic shift. Walking plays a vital role in maintaining older adults’ health and well-being. While the relationships between the built environment and older adults’ walking behavior have been widely examined, how these relationships vary across different spatial contexts and walking-time levels remain insufficiently explored. This study explores the heterogeneous relationships between community built environment factors and older adults’ walking behavior in Chengdu, China, focusing on differences across geographic locations (spatial heterogeneity) and walking-time quantiles (distributional heterogeneity) based on the 2016 Chengdu Comprehensive Travel Survey, street view imagery, and remote sensing data. Geographically weighted regression and quantile regression models are applied to capture spatial and distributional heterogeneity. The results indicate that: (1) the sidewalk index, population density, and the number of medical facilities are positively associated with older adults’ walking time; (2) the relationship between community built environment factors and walking time varies across locations; and (3) the positive effects of population density and the sidewalk index increase with walking-time quantiles. These findings highlight the importance of accounting for both spatial and distributional heterogeneity when proposing urban planning strategies to encourage walking among older adults. The study provides practical guidance for creating age-friendly, walkable environments.

人口老龄化已成为全球面临的重大挑战，而中国正在经历这一人口结构的转变。步行在维持老年人的健康和幸福方面起着至关重要的作用。虽然建筑环境与老年人步行行为之间的关系已被广泛研究，但这些关系如何在不同的空间背景和步行时间水平上变化仍未得到充分探讨。基于2016年成都市综合旅游调查、街景图像和遥感数据，研究了成都市社区建成环境因素与老年人步行行为之间的异质性关系，重点研究了不同地理位置（空间异质性）和步行时间分位数（分布异质性）之间的差异。地理加权回归和分位数回归模型用于捕捉空间和分布异质性。结果表明：(1)人行道指数、人口密度、医疗设施数量与老年人步行时间呈正相关；(2)社区建成环境因子与步行时间的关系因地而异；(3)人口密度和人行道指数的正向效应随步行时间分位数的增加而增加。这些发现强调了在提出鼓励老年人步行的城市规划策略时考虑空间和分布异质性的重要性。该研究为创造适合老年人的步行环境提供了实用指导。

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引用次数: 0

Measuring and moving on the street: A scoping review of street space allocation studies 在街道上测量和移动：街道空间分配研究的范围回顾

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-02-01 Epub Date: 2025-10-10 DOI: 10.1080/15568318.2025.2570322

Daniel Romm , Lexi Kinman , Kevin Manaugh , Grant McKenzie

A field of research is emerging that examines the allocation of street space to different transportation infrastructures, backgrounded by the increasingly recognized need to redesign city streets away from the dominance that cars have held over them for the past century. In this scoping review, we systematically search the literature to identify 12 peer-reviewed journal articles that use empirical methods to study street space allocation to transportation modes, synthesizing and reflecting on the studies’ methodologies, results, and identified policy implications and future research areas. From this synthesis, key themes emerge around how the studies frame their work in the transportation justice literature and toward conceptualizing an equitable streetscape, the differences in the methodologies employed and promising avenues to improve their methods, and the difficulties in comparing results across studies. Stemming from the reviewed studies, this review offers several directions for future research to encourage the development of street space allocation research, a field well-positioned to contribute to research and policy around critiquing and improving city streets and urban livability.

一个研究领域正在兴起，研究如何将街道空间分配给不同的交通基础设施，背景是人们日益认识到需要重新设计城市街道，摆脱过去一个世纪以来汽车占据主导地位的局面。在这篇范围综述中，我们系统地检索文献，找出12篇同行评议的期刊文章，这些文章使用实证方法研究交通方式的街道空间分配，综合和反思这些研究的方法、结果、确定的政策影响和未来的研究领域。从这一综合中，关键主题围绕着研究如何在交通司法文献中构建他们的工作，以及如何将公平的街景概念化，所采用的方法的差异和改进方法的有希望的途径，以及比较研究结果的困难。根据所回顾的研究，本综述为未来的研究提供了几个方向，以鼓励街道空间分配研究的发展，这一领域有利于围绕批评和改善城市街道和城市宜居性的研究和政策做出贡献。

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引用次数: 0

Collaborative and incentivized trip planning system to minimize transportation emissions for business commuting 协作和激励的行程规划系统，以减少商业通勤的交通排放

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-02-01 Epub Date: 2025-10-21 DOI: 10.1080/15568318.2025.2578219

Shahryar Monghasemi , Moatassem Abdallah

Reducing transportation emissions is a critical challenge, particularly in urban areas where single-occupancy vehicle (SOV) commutes significantly contribute to greenhouse gas (GHG) emissions. This study introduces a novel Collaborative and Incentivized Trip Planning System designed to address this issue by enabling neighboring businesses to pool resources and provide personalized financial incentives. These incentives encourage employees to shift from SOVs to sustainable modes such as carpooling, biking, walking, and public transit. Unlike traditional approaches, the system leverages inter-business collaboration to expand transportation options and enhance the effectiveness of incentive programs. The system integrates a travel attributes model, multi-objective optimization, logit discrete choice, and monetary incentives models to balance cost-effectiveness with emission reduction targets. Through a case study involving 253 employees across three neighboring businesses, the system demonstrated that collaborative strategies could nearly double emissions reductions compared to isolated efforts. This research underscores the importance of collaboration in transportation demand management, providing a scalable framework for reducing emissions while maintaining financial viability. The findings offer actionable insights for policymakers, urban planners, and businesses aiming to implement sustainable commuting programs. By studying the feasibility and benefits of incentive-based, collaborative systems, this work contributes to advancing sustainable urban transportation and mitigating the environmental impacts of commuting.

减少交通运输排放是一项重大挑战，特别是在城市地区，单人车辆（SOV）通勤对温室气体（GHG）排放有很大贡献。本研究引入了一种新颖的协同激励出行计划系统，旨在通过使相邻企业共享资源并提供个性化的财务激励来解决这一问题。这些激励措施鼓励员工从sov转向可持续模式，如拼车、骑自行车、步行和公共交通。与传统方法不同，该系统利用企业间的合作来扩大运输选择，提高激励计划的有效性。该系统集成了出行属性模型、多目标优化、logit离散选择和货币激励模型，以平衡成本效益与减排目标。通过一个涉及三个相邻企业的253名员工的案例研究，该系统表明，与孤立的努力相比，合作战略可以减少近一倍的排放量。这项研究强调了运输需求管理合作的重要性，提供了一个可扩展的框架，在保持财务可行性的同时减少排放。研究结果为旨在实施可持续通勤计划的政策制定者、城市规划者和企业提供了可行的见解。通过研究以激励为基础的协同系统的可行性和效益，本工作有助于促进可持续城市交通和减轻通勤对环境的影响。

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引用次数: 0

Can spontaneous combustion incidents affect consumers’ purchase intention of electric vehicles? Evidence from public discourse 自燃事件是否会影响消费者对电动汽车的购买意愿？来自公共话语的证据

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-02-01 Epub Date: 2025-09-29 DOI: 10.1080/15568318.2025.2568075

Tianpei Tang , Xin Miao , Jianxiong Xu , Tao Zeng , Xuwei Du , Jie Ma

Electric vehicles (EVs) play a critical role in advancing the adoption of renewable energy and promoting sustainable transportation in China. Technological innovations have increased public interest in EVs; however, incidents of spontaneous combustion have raised significant safety concerns, which may influence consumer purchase intentions. Although prior research has examined multiple determinants influencing EV purchase intentions, few have examined the specific impact of spontaneous combustion incidents, particularly through quantitative analysis. This study combines social media data analysis with survey responses to identify key consumer concerns regarding EV spontaneous combustion and assess the extent to which these concerns influence purchase intentions. A qualitative exploration of social media discussions on EV combustion incidents reveals key themes and public sentiment, forming the basis for a thematic integration framework. Partial least squares structural equation modeling is then applied to quantify the influence of critical factors, while a Bayesian network model provides predictive insights into causal relationships. The findings indicate that (i) social influence, attitude, and perceived risk are the primary factors affecting EV purchase intentions after incidents of spontaneous combustion, (ii) perceived risk and attitude mediate the relationship between social influence and purchase intention, and (iii) environmental benefits have a greater impact than financial incentives on consumer decision-making, underscoring the complexity of consumer behavior. These insights provide valuable guidance for EV manufacturers and policymakers, emphasizing the importance of tailored marketing strategies, enhanced safety measures, and effective risk communication to bolster consumer confidence and encourage EV purchase.

电动汽车在推动中国可再生能源的采用和促进可持续交通方面发挥着至关重要的作用。技术创新提高了公众对电动汽车的兴趣；然而，自燃事故引起了严重的安全问题，这可能会影响消费者的购买意愿。虽然之前的研究考察了影响电动汽车购买意愿的多种因素，但很少有研究考察自燃事件的具体影响，特别是通过定量分析。本研究将社交媒体数据分析与调查反馈相结合，确定消费者对电动汽车自燃的主要担忧，并评估这些担忧对购买意愿的影响程度。对电动汽车燃烧事件的社交媒体讨论进行定性探索，揭示了关键主题和公众情绪，为主题整合框架奠定了基础。然后应用偏最小二乘结构方程建模来量化关键因素的影响，而贝叶斯网络模型提供了对因果关系的预测性见解。研究发现：(1)社会影响、态度和感知风险是影响自燃事件后电动汽车购买意愿的主要因素，(2)感知风险和态度在社会影响与购买意愿之间起中介作用，(3)环境效益对消费者决策的影响大于经济激励，凸显了消费者行为的复杂性。这些见解为电动汽车制造商和政策制定者提供了有价值的指导，强调了定制营销策略、加强安全措施和有效风险沟通的重要性，以增强消费者信心，鼓励购买电动汽车。

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引用次数: 0

Green-biased technical change in energy and environmental factors and its influencing factors of transportation industry in China: An analysis based on BAM-DEA model 中国交通运输业能源环境绿色偏向技术变迁及其影响因素——基于BAM-DEA模型的分析

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-02-01 Epub Date: 2026-02-03 DOI: 10.1080/15568318.2025.2546032

Yuechi Zhang , Ge Wu , Zhuang Miao

Promoting green-biased technical change is pivotal for the low-carbon transition and sustainable development of China’s transportation industry. This paper employed a BAM-DEA model and Luenberger productivity indicator to measure and evaluate the green-biased technical change in China’s transportation industry 2003–2020. Furthermore, the study identified the factor-biased of green technical change. The results indicate that the average annual green-biased technical change is 0.504%, with energy and environmental factors contributing significantly. The input variables’ factor bias follows the order of labor, energy, and capital, while for environmental factors, the order is VOCs, NOx, and CO₂. The results of regression analysis indicate that all the influencing factors have heterogeneous effect on green-biased technical change of environmental factors, CO₂-biased technical change, VOCs-biased technical change, and NO_X-biased technical change. This study provides a scientific foundation for exploring innovative technical pathways for energy conservation, emission reduction, and a green and low-carbon transition of China’s transportation industry.

推进绿色技术变革是中国交通运输行业实现低碳转型和可持续发展的关键。本文采用BAM-DEA模型和Luenberger生产率指标对2003-2020年中国交通运输行业的绿色偏绿色技术变革进行了测度和评价。此外，研究还确定了绿色技术变革的因素偏差。结果表明，年平均绿色偏倚技术变化为0.504%，其中能源和环境因素的贡献显著。输入变量的因素偏差依次为劳动力、能源、资本，环境因素的因素偏差依次为VOCs、NOx、CO2。回归分析结果表明，各影响因素对环境因子偏绿色技术变革、co2偏技术变革、vocs偏技术变革和nox偏技术变革的影响均呈异质性。本研究为探索中国交通运输行业节能减排、绿色低碳转型的创新技术路径提供了科学依据。

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引用次数: 0

Discovering the dynamics of metro satisfaction: Insights from the Tyne and Wear metro experience 发现地铁满意度的动态：来自泰恩和威尔地铁体验的见解

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-02-01 Epub Date: 2025-10-07 DOI: 10.1080/15568318.2025.2570324

Huseyin Ayan , Margaret Bell , Dilum Dissanayake

This study explores public perceptions and attitudes toward the Tyne and Wear metro system in Northeast England to inform policies promoting sustainable transport. Passenger satisfaction and metro use are investigated through a comprehensive questionnaire covering ten factors namely accessibility, direct benefits with respect to travel (cost and time), reliability and availability, travel safety (security and safety), comfort, innovations, ticketing service, amenities, policy implementations, and sustainability aspects. These factors guided the development of an online questionnaire, which was subsequently piloted and employed, receiving responses from 1139 participants, of which 850 were complete after data cleaning. Bayesian networks structure learning algorithms examine the interactions and complex relationships among the factors that influence metro satisfaction, and a detailed map of their impacts is created. Partial least squares structural equation modeling further clarifies these relationships and assesses their effects on overall user experience. Initial findings emphasize accessibility and direct benefits such as cost and time as key drivers of satisfaction. Besides these, reliability and availability, and security and safety play significant roles in satisfaction. These insights call for user-centered, inclusive transport planning strategies in metro system planning, enabling targeted enhancements to meet diverse needs and support sustainability goals. This research provides a novel and transferrable data-driven approach for transport planners and policymakers to improve the metro system strategically, enhancing service quality, increasing ridership, and contributing to Net Zero and promoting sustainable mobility. Emphasizing sustainable mobility, this study advocates for transformative changes that align with the broader vision of transport futures and adaptable travel behavior.

本研究探讨了公众对英格兰东北部泰恩威尔地铁系统的看法和态度，为促进可持续交通的政策提供信息。乘客满意度和地铁使用情况通过一份全面的问卷调查，涵盖十个因素，即可达性、出行的直接效益（成本和时间）、可靠性和可用性、出行安全（安保和安全）、舒适度、创新、票务服务、便利设施、政策实施和可持续性方面。这些因素指导了在线问卷的开发，随后进行了试点和使用，收到了1139名参与者的回复，其中850人在数据清理后完成了回复。贝叶斯网络结构学习算法检查影响地铁满意度的因素之间的相互作用和复杂关系，并创建了其影响的详细地图。偏最小二乘结构方程模型进一步阐明了这些关系，并评估了它们对整体用户体验的影响。最初的调查结果强调可访问性和直接收益（如成本和时间）是满意度的关键驱动因素。除此之外，可靠性和可用性以及安全性和安全性在满意度中也起着重要作用。这些见解要求在地铁系统规划中采用以用户为中心的包容性交通规划策略，从而实现有针对性的增强，以满足多样化需求并支持可持续发展目标。这项研究为交通规划者和政策制定者提供了一种新颖的、可转移的数据驱动方法，以从战略上改善地铁系统，提高服务质量，增加客流量，为实现净零和促进可持续交通做出贡献。本研究强调可持续交通，倡导与交通未来和适应性旅行行为的更广泛愿景相一致的变革性变革。

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引用次数: 0