Transportation Research Interdisciplinary Perspectives最新文献_第8页

Heard but not seen: a narrative review of traffic noise impacts and the amenity cost awarded to pedestrians 听到但没有看到：交通噪音影响的叙述性回顾和行人的舒适成本

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-19 DOI: 10.1016/j.trip.2025.101799

David O’Reilly , Marcus White , Nano Langenheim , Pantea Alambeigi

Traffic-Induced Noise Pollution (TINP) is increasingly recognised as a major impediment to pedestrian comfort, accessibility, and health in urban environments around the world, making it both a societal and global problem. While sound can be measured objectively, noise is inherently subjective and context-dependent, making it difficult to characterise and regulate using traditional acoustic indicators alone.

This narrative review synthesises multidisciplinary knowledge on how TINP influences pedestrian experience, behaviour, and wellbeing, and evaluates the strengths and limitations of historical and contemporary noise measurement and assessment methods. By integrating evidence from acoustics, psychology, health, transport studies, and urban design, the review demonstrates the need for combined objective and subjective approaches to better represent the lived pedestrian experience and monitor the quality of the pedestrian environment.

Key contributions include highlighting gaps in current assessment frameworks, identifying emerging approaches suited to pedestrian-centred evaluation such as psychoacoustic and soundscape-based methods, and outlining implications for research and practice. The findings support the development of multisensory planning and policy frameworks that promote active transport, enhance environmental equity, and move beyond the conventional focus on traffic-noise emissions. Taken together, these insights provide a foundation for developing pedestrian-centred tools that can help cities design, evaluate, and manage walkable environments exposed to TINP.

交通噪音污染（TINP）越来越被认为是世界各地城市环境中行人舒适度、可达性和健康的主要障碍，使其成为一个社会和全球性问题。虽然声音可以客观地测量，但噪音本质上是主观的和依赖于环境的，因此很难单独使用传统的声学指标来表征和调节。这篇叙述性综述综合了TINP如何影响行人体验、行为和健康的多学科知识，并评估了历史和当代噪音测量和评估方法的优势和局限性。通过综合声学、心理学、健康、交通研究和城市设计方面的证据，该综述表明，需要将客观和主观的方法结合起来，以更好地代表行人的生活体验，并监测行人环境的质量。主要贡献包括强调当前评估框架中的差距，确定适合以行人为中心的评估的新兴方法，如心理声学和基于声景的方法，并概述对研究和实践的影响。研究结果支持制定多感官规划和政策框架，以促进主动交通，增强环境公平，并超越对交通噪音排放的传统关注。综上所述，这些见解为开发以行人为中心的工具提供了基础，这些工具可以帮助城市设计、评估和管理暴露在TINP中的可步行环境。

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引用次数: 0

State-of-the-art Gaidai hypersurface risk prognostics approach for FPSO and FLNG dynamics 最先进的Gaidai超水面风险预测方法用于FPSO和FLNG动力学

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-19 DOI: 10.1016/j.trip.2025.101785

Oleg Gaidai , Tao Zhang , Shicheng He , Jinlu Sheng , Yan Zhu , Ahmed Alaghbari , Antoine Dembadouno , Tanyaradzwa Kuzvidza , Alaa Elsayed

An offshore vessel, known as the Floating Production Storage & Offloading (FPSO) unit, is designed to produce and store crude oil or Liquefied Natural Gas (LNG), prior to its transportation by accompanying Shuttle Tanker (ST). To ensure operational safety during FPSO operations, dynamic mooring/hawser stresses have to be assessed. Operational concerns might arise from increased hawser tensions during specific unloading scenarios, given in-situ environmental conditions. This case study examined FPSO vessel dynamics, subjected to hydrodynamic waves-induced loads defined by in-situ environmental conditions, utilizing AQWA software. The state-of-the-art multi-dimensional spatiotemporal structural risk evaluation method has been benchmarked and performs particularly well, even based on limited underlying multimodal datasets. The underlying system’s dynamic data can be numerically Monte Carlo (MC) simulated, either physically measured. Multimodal Gaidai hypersurface risk assessment methodology, described in this case study, provides an additional capability to effectively assess the system’s dynamic hazard, failure or damage risks, as well as structural lifetime distribution of complex multidimensional dynamic systems, accounting for multiple failure modes, incorporating nonlinear inter-correlations between system’s key parts (components). The proposed multimodal reliability method can be applied to FPSO or FLNG (Floating LNG) vessel dynamics, as well as other vessel types. The primary benefit of the presented structural reliability methodology is that currently existing structural reliability and risk assessment techniques often struggle to address a large number of the system’s primary dimensions (parts or components). Based on a representative MC numerically generated dataset, an accurate multimodal reliability evaluation was conducted, and Confidence Intervals (CI) were reported.

一艘被称为浮式生产储存和卸载（FPSO）装置的近海船，设计用于生产和储存原油或液化天然气（LNG），然后由随行的穿梭油轮（ST）运输。为了确保FPSO作业期间的操作安全，必须评估动态系泊/锚索应力。考虑到现场环境条件，在特定卸载场景下，锚索张力增加可能会引起操作问题。本案例研究利用AQWA软件，考察了FPSO船在由现场环境条件定义的水动力波浪诱导载荷下的动力学特性。最先进的多维时空结构风险评估方法已经进行了基准测试，并且即使基于有限的底层多模态数据集，也表现得特别好。底层系统的动态数据可以用数值蒙特卡罗（MC）模拟，也可以用物理测量。本案例研究中描述的多模态Gaidai超曲面风险评估方法提供了一种额外的能力，可以有效评估系统的动态危害、失效或损坏风险，以及复杂多维动态系统的结构寿命分布，考虑多种失效模式，结合系统关键部件（组件）之间的非线性相互关系。所提出的多模态可靠性方法可以应用于FPSO或浮式液化天然气（FLNG）船舶的动力学，以及其他类型的船舶。所提出的结构可靠性方法的主要优点是，目前现有的结构可靠性和风险评估技术往往难以解决系统的大量主要维度（部件或组件）。基于具有代表性的MC数值生成数据集，进行了准确的多模态可靠性评估，并报告了置信区间（CI）。

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引用次数: 0

A holistic continuous approximation framework for strategic last-mile distribution planning 战略最后一英里分配规划的整体连续逼近框架

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-19 DOI: 10.1016/j.trip.2025.101720

Blessy Kirubakaran , Anmol Pahwa , Surendra Reddy Kancharla , S. Travis Waller

The conventional approach to modelling last-mile distribution operations involves use of the discrete formulation method which renders a representative mathematical model necessitating use of sophisticated solution techniques. While such an intensive approach is justified when decision-makers require a precise plan to support operational planning, this level of precision is redundant for strategic planning, wherein available information is representative but not necessarily exact. To this end, continuous approximation (CA) method offers a practical alternative with use of continuous density functions that estimate parameters approximately, thus striking a balance between estimation accuracy and computational effort. However, typical CA-based routing frameworks assume a simplified distribution environment that significantly limits the capability of such frameworks to accurately model last-mile operations in real-world distribution environments, such as postal service, e-commerce, q-commerce, waste collection, emergency service etc. Thus, the objective of this work is to develop a holistic CA framework for the Vehicle Routing Problem (VRP) to facilitate strategic last-mile distribution planning within diverse logistic settings. Specifically, this study synthesizes a total of 1080 distribution environments, each with peculiar distribution structure and distinctive customer characteristics. Subsequently, it optimizes last-mile distribution for distribution environment instance using an Adaptive Large Neighborhood Search (ALNS) metaheuristic. Finally, this work develops a robust CA-based functional form through symbolic regression to precisely estimate the total distribution tour length across the various distribution environments. In doing so, this work supports strategic decision-making for a wide scope of logistic operators that may have representative but not necessarily exact information.

对最后一英里分配操作建模的传统方法涉及使用离散公式方法，该方法呈现具有代表性的数学模型，需要使用复杂的求解技术。当决策者需要精确的计划来支持业务计划时，这种密集的方法是合理的，但是这种精确程度对于战略计划来说是多余的，其中可用的信息是有代表性的，但不一定是准确的。为此，连续逼近（CA）方法提供了一种实用的替代方法，使用连续密度函数近似估计参数，从而在估计精度和计算工作量之间取得平衡。然而，典型的基于ca的路由框架假设了一个简化的分发环境，这极大地限制了此类框架在实际分发环境（如邮政服务、电子商务、q-commerce、废物收集、紧急服务等）中准确模拟最后一英里操作的能力。因此，这项工作的目标是为车辆路线问题（VRP）开发一个整体的CA框架，以促进在不同物流环境下的战略最后一英里分配规划。具体而言，本研究共综合了1080个分销环境，每个分销环境都具有独特的分销结构和独特的客户特征。随后，利用自适应大邻域搜索（ALNS）元启发式算法对分布环境实例的最后一英里分布进行优化。最后，本工作通过符号回归开发了一种鲁棒的基于ca的函数形式，以精确估计各种分布环境中的总分布行程长度。在这样做的过程中，这项工作支持广泛的物流运营商的战略决策，这些运营商可能具有代表性，但不一定是准确的信息。

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引用次数: 0

Reasons and principles for automated vehicle decisions in ethically ambiguous everyday scenarios: The case of cyclist overtaking 在道德模糊的日常场景中，自动车辆决策的原因和原则：以骑自行车的人超车为例

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-19 DOI: 10.1016/j.trip.2025.101787

Lucas Elbert Suryana , Simeon Calvert , Arkady Zgonnikov , Bart van Arem

Automated vehicles (AVs) consistently encounter ethically ambiguous situations in everyday driving, scenarios involving conflicting human interests and no clearly optimal course of action. While existing work often focuses on rare, high-stakes dilemmas (e.g., crash avoidance or trolley problems), routine decisions such as overtaking cyclists or navigating social interactions remain underexplored. This study addresses that gap by applying the tracking condition of Meaningful Human Control (MHC), which holds that AV behaviour should align with human reasons—the values, intentions, or expectations that justify actions. We conducted semi-structured interviews with 18 AV experts, who explained the reasons behind the considerations AV should make when planning a manoeuvre. Thirteen reason categories emerged, organised across normative, strategic, tactical, and operational levels. Using a case study on cyclist overtaking, we demonstrate how these reasons interact in practice and expose tensions in the decision-making process. Building on this analysis, we derive a reason-prioritisation principle grounded in the cyclist-overtaking scenario for AV behaviour in ethically ambiguous routine situations: prioritising vulnerable road users’ safety above all, treating systemic safety and regulation as important but conditional, and permitting secondary values only when safety is not compromised. This hierarchy supports human-aligned behaviour by allowing pragmatic actions when strict legal compliance would undermine higher-priority values. Our findings offer conceptual principles intended to inform future research and design for AV decision-making in ethically challenging routine situations.

自动驾驶汽车（av）在日常驾驶中经常遇到道德模糊的情况，涉及人类利益冲突的场景，没有明确的最佳行动方案。虽然现有的工作通常侧重于罕见的高风险困境（例如，避免碰撞或电车问题），但诸如超车或导航社交互动等常规决策仍未得到充分研究。这项研究通过应用有意义的人类控制（MHC）的跟踪条件来解决这一差距，该条件认为自动驾驶行为应该与人类的理性——价值、意图或期望——保持一致，从而证明行为是合理的。我们与18位自动驾驶汽车专家进行了半结构化访谈，他们解释了自动驾驶汽车在规划机动时应考虑的因素。在规范、战略、战术和操作层面上，出现了十三个原因类别。通过对自行车超车的案例研究，我们展示了这些原因在实践中如何相互作用，并揭示了决策过程中的紧张关系。在此分析的基础上，我们得出了一个基于自动驾驶车辆在道德模糊的常规情况下超车的理性优先原则：优先考虑弱势道路使用者的安全，将系统安全和监管视为重要但有条件的，只有在安全不受损害的情况下才允许次要价值。当严格遵守法律会破坏优先级更高的价值观时，这种层次结构允许采取务实的行动，从而支持以人为本的行为。我们的研究结果提供了概念性原则，旨在为未来在具有伦理挑战性的常规情况下进行自动驾驶决策的研究和设计提供信息。

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引用次数: 0

Estimating the value of time for elderly’ intention to use E-bike sharing: a combination of willingness to pay approach and advanced heterogeneity model 老年人共享电动车使用意愿的时间价值估算：付费意愿法与先进异质性模型的结合

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-19 DOI: 10.1016/j.trip.2025.101804

Panuwat Wisutwattanasak , Fareeda Watcharamaisakul , Chinnakrit Banyong , Anon Chantaratang , Thanapong Champahom , Vatanavongs Ratanavaraha , Sajjakaj Jomnonkwao

The global population structure is increasingly shifting towards an aging society. Consequently, short-distance transport feeders are becoming necessary for elderly individuals. This study aims to gain insights into the perspectives of elderly residents regarding the usage of Electric Bicycle Sharing Systems (EBSS) in urban and rural areas of Thailand. Questionnaire data were collected from residents aged 60 years or older across Thailand, resulting in a dataset of 1,600 respondents. The results of mixed binary logit model with heterogeneity in means analysis revealed noteworthy factors influencing the willingness to pay to use EBSS among the elderly, differentiated by urban and rural areas. Furthermore, the analysis identified unobserved heterogeneity in urban areas among male elderly and those who own an E-bike, whereas in rural areas, unobserved heterogeneity was observed among unmarried respondents and those who own a car. Additionally, the study found that the value of time (VOT) for urban elderly is higher compared to rural elderly. This nuanced understanding provides valuable insights for policymakers and relevant agencies, enabling them to comprehend the diverse needs of older users. With this information, they can formulate strategic and sustainable policies and allocate budgets effectively for the EBSS project, positioning it as a prospective active travel model. Such tailored strategies, aligned with the distinct preferences and requirements of future main users, will consider and address regional differences, fostering the development of a robust and inclusive EBSS framework.

全球人口结构正日益向老龄化社会转变。因此，对于老年人来说，短途运输喂食器变得越来越必要。本研究旨在了解泰国城乡老年居民对电动自行车共享系统（EBSS）使用的看法。调查问卷收集了泰国60岁以上居民的数据，得出了1600名受访者的数据集。混合二元logit模型的异质性均值分析结果显示，影响老年人使用EBSS付费意愿的重要因素存在城乡差异。此外，分析还发现，在城市地区，男性老年人和拥有电动自行车的人之间存在未观察到的异质性，而在农村地区，未婚受访者和拥有汽车的人之间存在未观察到的异质性。此外，研究发现，城市老年人的时间价值（VOT）高于农村老年人。这种细致入微的理解为政策制定者和相关机构提供了宝贵的见解，使他们能够理解老年用户的各种需求。有了这些信息，他们可以为EBSS项目制定战略和可持续的政策，并有效地分配预算，将其定位为一个有前景的主动旅行模式。这种量身定制的战略，与未来主要用户的独特偏好和要求相一致，将考虑和解决区域差异，促进建立一个强大和包容的电子商务系统框架。

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引用次数: 0

Ai-related papers in the transportation field: Statistics and evolutionary trends 交通领域人工智能相关论文：统计与演化趋势

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-19 DOI: 10.1016/j.trip.2025.101803

Zhiyang Zhang , Cheng-Jie Jin , Yuchen Song , Dawei Li

It has become feasible to analyze research trends in the transportation field using NLP-based methods. However, existing studies mostly focused on the entire transportation discipline or on specific modes of transport, without specifically addressing the development of artificial intelligence (AI) technologies in transportation. To address this gap, this study collects AI-related publications in the transportation field and conducts a temporal evolution analysis. The selected journals include three categories: Transportation Research (TR) series, IEEE Transactions on Intelligent Transportation Systems (IEEE-ITS), and other representative Q1-Q2 transportation journals. Based on descriptive statistics, we apply LDA and STM method for topic modeling, and also use Vosviewer to analyze the network relationships among various elements. The results reveal several similarities among three categories: China ranks first in AI-related publication counts, followed by USA, with China surpassing USA in most cases between 2016 and 2019; Chinese institutions dominate the top positions in institutional statistics; the high-frequency terms in abstract texts are highly consistent across all journals; keyword clustering results consistently fall into three categories centered on machine learning, deep learning, and reinforcement learning. At the same time, notable differences are observed, including disparities in AI-related publication volumes, institutional affiliations, and topic modeling outputs. In addition, some unexpected patterns emerge: IEEE-ITS has seen a recent decline in publication volume, the keyword structure of IET-ITS has changed significantly, and some words once thought popular like “big data” and “data mining” have declined in prominence. Moreover, no new phenomena are identified when using STM, prompting further discussion.

利用基于nlp的方法分析交通领域的研究趋势已经成为可能。然而，现有的研究大多集中在整个交通学科或特定的交通方式上，没有具体解决交通领域人工智能（AI）技术的发展。为了解决这一差距，本研究收集了交通领域的人工智能相关出版物，并进行了时间演变分析。入选期刊包括三类：交通研究（TR）系列、IEEE智能交通系统汇刊（IEEE- its）和其他有代表性的Q1-Q2交通期刊。在描述统计的基础上，采用LDA和STM方法进行主题建模，并使用Vosviewer分析各元素之间的网络关系。结果揭示了三个类别之间的一些相似之处：中国在人工智能相关的出版物数量上排名第一，其次是美国，在2016年至2019年的大多数情况下，中国超过了美国；中国院校在院校统计中占据前列；摘要文本中的高频术语在所有期刊中高度一致；关键词聚类结果始终分为以机器学习、深度学习和强化学习为中心的三类。同时，我们也观察到显著的差异，包括与人工智能相关的出版物数量、机构隶属关系和主题建模输出的差异。此外，还出现了一些意想不到的现象：IEEE-ITS的出版物数量最近有所下降，其关键词结构发生了显著变化，一些曾经被认为很流行的词，如“大数据”和“数据挖掘”的重要性有所下降。此外，在使用STM时没有发现新的现象，值得进一步讨论。

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引用次数: 0

Space for cycling: A scoping review of recent evidence on the dynamic envelope for bicycle riding 骑自行车的空间：最近关于骑自行车的动态包络的证据的范围审查

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-19 DOI: 10.1016/j.trip.2025.101800

Robbie Napper, Tyrell Siew, Yi Jing Ang

How much space does it take to ride a bicycle? The aim of this study was to answer this interdisciplinary question as depending on perspective, this could be a technical, social or political question. We conducted a scoping review of recent research (2014–2025) to determine the current state of knowledge from an interdisciplinary perspective (n = 42). Researchers primarily used naturalistic observation, controlled experiments, simulators, GPS data and mathematical modelling. Studies in our review identified many critical, independent variables including traffic flow, speed, path width, bicycle dynamics, path condition and bicycle static envelope. Synthesis of the research literature over the last 10 years suggests the minimum space needed to ride a bicycle from a technical perspective is a spatial envelope 1.5 m wide, 2.5 m high and a time headway of 1 s, which is inclusive of any bicycle length. While these parameters provide minimum mechanical benchmarks, the literature suggests that more space should be added from a social and behavioural perspective depending on the context and to enhance cycling modeshare, enjoyment, acceptability and rider safety.

骑自行车要占用多少空间？这项研究的目的是回答这个跨学科的问题，根据不同的观点，这可能是一个技术、社会或政治问题。我们对最近的研究（2014-2025）进行了范围审查，以从跨学科的角度确定知识的现状（n = 42）。研究人员主要使用自然观察、对照实验、模拟器、GPS数据和数学模型。我们的研究发现了许多关键的、独立的变量，包括交通流量、速度、路径宽度、自行车动力学、路径条件和自行车静态包络。综合过去10年的研究文献，从技术角度来看，骑自行车所需的最小空间是1.5米宽、2.5米高、车头时距为1秒的空间包围圈，这包括任何自行车长度。虽然这些参数提供了最低的机械基准，但文献表明，应从社会和行为的角度出发，根据环境增加更多的空间，以增强自行车模式的共享、享受、可接受性和骑行者的安全。

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引用次数: 0

Propose adjustable Support Vector Machine approach for classifying imbalanced work travel mode choice data 提出可调支持向量机方法对不平衡工作出行方式选择数据进行分类

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-19 DOI: 10.1016/j.trip.2025.101786

Mujahid Ali , Yewuhalashet Fissha

Investigating travel mode choice (TMC), particularly for work-related travel and its role in promoting sustainable transportation systems, is crucial in urban planning and policymaking to predict travel demands. Traditionally, the TMC data are imbalanced, and handling or learning from such data is usually challenging. Conventional techniques, such as the Multinomial Logit Model (MNL), are based on assumptions and are used for binary regression and classification. Several machine learning (ML) algorithms are based on binary classification; however, applying the theory of adjusting kernel scaling makes them capable of handling multi-class regression analysis. Therefore, the current study proposes an adjustable kernel (SVM_AK) based on adjusting kernel scaling theory and Support Vector Machine (SVM) to deal with the imbalance mode choice data. Besides, several ML algorithms such as standard SVM, Naive Bayes (NB), Gradient Boost (GB), Random Forest (RF), and Neural Network (NN) have been developed to compare the performance with SVM_AK. The 2022 National Household Travel Survey (NHTS) – California data were used for the statistical analysis and empirical assessment. It was concluded that the modern techniques outperformed the conventional methods, where the SVM_AK model performed better than the other ML models. Among all ML models, NN models achieve an accuracy of 92%, while SVM_AK improves the typical SVM accuracy from 90.2% to 99.8% which shows the capability of handling an imbalanced TMC dataset. This approach can be used for supplementary transport planning tasks where there is an unequal distribution of data.

调查出行方式选择（TMC），特别是与工作相关的出行及其在促进可持续交通系统中的作用，对于预测出行需求的城市规划和政策制定至关重要。传统上，TMC数据是不平衡的，处理或从这些数据中学习通常具有挑战性。传统的技术，如多项Logit模型（MNL），是基于假设的，用于二元回归和分类。几种机器学习（ML）算法是基于二元分类的；然而，应用核尺度调整理论使它们能够处理多类回归分析。因此，本研究提出了一种基于调整核尺度理论和支持向量机（SVM）的可调核（SVMAK）来处理模式选择数据的不平衡。此外，还开发了几种机器学习算法，如标准SVM、朴素贝叶斯（NB）、梯度增强（GB）、随机森林（RF）和神经网络（NN），以与SVMAK进行性能比较。使用2022年全国家庭旅行调查(NHTS) -加利福尼亚州的数据进行统计分析和实证评估。结论是，现代技术优于传统方法，其中SVMAK模型比其他ML模型表现更好。在所有ML模型中，NN模型的准确率达到92%，而SVMAK将典型SVM的准确率从90.2%提高到99.8%，显示出处理不平衡TMC数据集的能力。该方法可用于数据分布不均匀的辅助运输规划任务。

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引用次数: 0

An analysis of the important factors that influence the NMT adaptability in New Delhi and Chandigarh 影响新德里和昌迪加尔NMT适应性的重要因素分析

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-19 DOI: 10.1016/j.trip.2025.101790

Jaskaran Singh Saini , Bhawna Chahar , Dinesh Kumar Saini

This study examines the key factors that influence the implementation of NMT in the urban areas of Delhi and Chandigarh. The study estimates the acceptability index of NMT among commuters in New Delhi and Chandigarh, based on specific variables identified through a literature review. The acceptability levels for NMT usage are highly sensitive to variations in local demographic characteristics, such as age, gender, education status, and the availability of public transport infrastructure. The analysis shows that, apart from unique demographic variables, past city governance models under successive governments also play a pivotal role in shaping commuters’ modal choices. Exploratory Factor Analysis is also used to identify key factors in the successful implementation of NMT projects. The identified factors are Planning, Infrastructure, Convenience, Environment, and Attractiveness based on the commuters’ responses from the two cities. The paper discusses in detail the significance of the variables loaded under each factor, which may help transport planners effectuate a voluntary and renewed emphasis on NMT among urban commuters and pave the way for sustainable transportation alternatives in the urban hotspots of modern cities.

本研究探讨了影响在德里和昌迪加尔城市地区实施NMT的关键因素。该研究基于通过文献综述确定的特定变量，估计了新德里和昌迪加尔通勤者的NMT可接受指数。NMT使用的可接受程度对当地人口特征的变化高度敏感，如年龄、性别、教育状况和公共交通基础设施的可用性。分析表明，除了独特的人口变量外，历届政府过去的城市治理模式在塑造通勤者的交通方式选择方面也发挥了关键作用。探索性因素分析也用于确定NMT项目成功实施的关键因素。根据两个城市的通勤者的反应，确定的因素是规划、基础设施、便利、环境和吸引力。本文详细讨论了每个因素下负载变量的重要性，这可能有助于交通规划者在城市通勤者中实现自愿和重新重视NMT，并为现代城市热点地区的可持续交通替代方案铺平道路。

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引用次数: 0

Changing US electric vehicle owner socioeconomic characteristics 改变美国电动汽车车主的社会经济特征

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-12-16 DOI: 10.1016/j.trip.2025.101788

Jiacheng Wang , Corey D Harper , Chris Hendrickson

This study uses the 2017 and 2022 US National Household Travel Surveys to assess changes in electric vehicle (EV) owner socioeconomic characteristics. EV owners grew from approximately 1.85 million in 2017 to nearly 7.67 million in 2022. Compared with 2017, the 2022 EV owner population contained a larger share of Asian and Black households as well as residents from rural and moderate to small Metropolitan Statistical Areas (MSAs). Nevertheless, EV owners in both years were disproportionately more affluent, highly educated, urban, and more likely to own a home when compared to non-EV owners. Persistent regional disparities were also evident: while the Pacific region of the US consistently exhibits relatively high EV ownership in 2017 and 2022, regions such as the East South Central show much lower EV adoption. Latent class analysis identified three subgroups − Affluent Urban Residents, Rural and Moderate to Small MSA Residents, and Moderate-Income Urban Residents. Between 2017 and 2022, the composition of these groups changed—the share of Rural and Moderate to Small MSA Residents increased from 14.2 % to 24.5 %, Moderate-Income Urban Residents declined (from 20.4 % to 11.7 %), while Affluent Urban Residents remained relatively stable (around 64 %). These findings help policymakers understand shifts in EV ownership, identify which groups are benefiting from current programs, and pinpoint where additional infrastructure and policies are needed to support broader adoption. Because of the methodological changes associated with the 2022 NHTS, estimates are interpreted cautiously, and only changes that are statistically significant are investigated in more detail.

本研究使用2017年和2022年美国全国家庭旅行调查来评估电动汽车（EV）车主社会经济特征的变化。电动汽车车主从2017年的约185万增加到2022年的近767万。与2017年相比，2022年的电动汽车车主人口中，亚洲和黑人家庭以及农村和中小城市统计区（msa）的居民所占比例更高。然而，与非电动汽车车主相比，电动汽车车主在这两年都不成比例地更加富裕，受过高等教育，居住在城市，更有可能拥有住房。持续的地区差异也很明显：2017年和2022年，美国太平洋地区的电动汽车保有量一直相对较高，而东南中部等地区的电动汽车普及率要低得多。潜在类别分析确定了三个亚组：富裕的城市居民、农村和中小额MSA居民以及中等收入的城市居民。在2017年至2022年期间，这些群体的构成发生了变化——农村和中小型MSA居民的比例从14.2%上升到24.5%，中等收入城市居民的比例下降（从20.4%下降到11.7%），而富裕的城市居民保持相对稳定（约64%）。这些发现有助于政策制定者了解电动汽车所有权的变化，确定哪些群体从当前的项目中受益，并确定哪些地方需要额外的基础设施和政策来支持更广泛的采用。由于与2022年NHTS相关的方法变化，对估计进行了谨慎的解释，并且只对具有统计意义的变化进行了更详细的调查。

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