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Exploring the heterogeneity of changes in work-related mobility patterns throughout the COVID-19 crisis in Brazil: A latent Markov chain analysis of a 3-year panel data 探索巴西2019冠状病毒病危机期间工作相关流动模式变化的异质性:对3年面板数据的潜在马尔可夫链分析
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-25 DOI: 10.1016/j.tbs.2025.101160
Jorge Ubirajara Pedreira Junior , Cira Souza Pitombo
The COVID-19 pandemic catalyzed potential long-term shifts in the way people move. This research examined how individuals transitioned between work-related mobility patterns throughout the pandemic by conducting a 3‑wave longitudinal survey of Brazilian workers from 2020 to 2022. A combination of latent Markov models and exploratory data analysis was used to understand these transitions. Early in the pandemic, there was a significant shift towards telework, driven largely by the suitability of certain occupations for remote work, car-oriented mobility patterns with lower physical accessibility and increased concerns about contracting the coronavirus. However, after vaccination coverage surpassed 80%, coinciding with eased mobility restrictions and fewer COVID-19 cases, telework frequency decreased and commuting became more widespread. Nevertheless, the data suggest that car-dependent mobility patterns rebounded more strongly than others. Indeed, roughly 20% of those predominantly walking and using public transit before the pandemic were still working remotely at a later stage, whereas this figure was approximately 8% for car users. More concerning, carless-oriented individuals and teleworkers were more likely to switch to car-dependent travel at a later stage than the reverse. The research further reveals that the pandemic may have exacerbated existing disparities, particularly affecting low-income women with lower educational levels who were most vulnerable to COVID-19 exposure before widespread vaccination. These findings underscore the potential negative consequences of the pandemic on urban mobility and highlight the urgency of implementing effective policies to discourage car use and preserve urban density, particularly along mass transit routes and in city centers.
2019冠状病毒病大流行催化了人们出行方式的潜在长期变化。本研究通过对2020年至2022年巴西工人进行三波纵向调查,研究了在疫情期间个人如何在与工作相关的流动模式之间过渡。使用潜在马尔可夫模型和探索性数据分析相结合来理解这些转变。在大流行早期,人们向远程办公发生了重大转变,这主要是由于某些职业适合远程工作、以汽车为导向的移动模式较低的物理可达性以及对感染冠状病毒的担忧加剧。然而,在疫苗接种率超过80%之后,恰逢流动性限制放宽和COVID-19病例减少,远程工作频率下降,通勤变得更加普遍。然而,数据显示,依赖汽车的出行模式比其他模式反弹得更强烈。事实上,在疫情前主要步行和使用公共交通工具的人中,大约有20%的人在后期仍在远程工作,而汽车使用者中这一数字约为8%。更令人担忧的是,无车倾向的个人和远程工作者更有可能在以后的阶段转向依赖汽车的旅行,而不是相反。研究进一步表明,大流行可能加剧了现有的差距,特别是影响到受教育程度较低的低收入妇女,她们在广泛接种疫苗之前最容易感染COVID-19。这些调查结果强调了大流行对城市交通的潜在负面影响,并强调了实施有效政策以阻止汽车使用和保持城市密度的紧迫性,特别是在公共交通路线沿线和城市中心。
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引用次数: 0
The inhaled dose of pollution while bike commuting: Interactions between route pollutant concentrations and exertional intensity 自行车通勤时的吸入污染剂量:路径污染物浓度与运动强度的相互作用
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-25 DOI: 10.1016/j.tbs.2025.101162
Alberto Bonardi , Laura Borgese , Francesco Negro , Danilo Iannetta
Bike commuters are amongst the road user groups most exposed to air pollutants. In this context, particulate matter (PM) has been shown to vary greatly within urban settings. However, despite recent advancements in high-resolution portable devices, how this variability interacts with active commuting-related exertional intensity in determining the actual inhaled dose (ID) of PM has remained under-investigated. This study evaluated the variability of the ID within the city of Brescia (Italy) by modelling actual recordings of PM concentrations in different areas of the city with actual laboratory-derived ventilatory rates at two cycling intensities. PM was recorded across six different city areas between seasons (i.e., cold and hot), while ventilatory rates were measured from 47 young healthy participants (21 females) during moderate- and heavy-intensity cycling. PM concentrations varied considerably between areas (∼30–55 %; P < 0.001) and were higher (∼35 %; P < 0.001) during the cold season. Due to these variations, in some areas the computed ID for moderate-related ventilation levels was similar to the ID computed for heavy-related ventilation levels for other areas of the city with a lower concentration of PM. In a sub-analysis, our data also demonstrate that the ID for the same relative heavy-intensity exercise was greater in males [1.47 (1.18––1.90) µg/min] compared to females [1.05 (0.82–––1.36) µg/min; P < 0.001, r = 0.24]. Within the same municipality, the concentration PM varies considerably, such that a high level of ID can be achieved even with low levels of exertional intensity. Our data indicate that PM concentrations, exertional intensity, and the sex of the individuals must be considered when quantifying individual exposure to PM. Collectively, this evidence could be used to inform the planning of bike routes and to enhance awareness of bike commuters regarding the role of exertional intensity in determining their ID.
骑自行车上下班的人是最容易接触空气污染物的道路使用者群体之一。在这种情况下,颗粒物(PM)已被证明在城市环境中变化很大。然而,尽管高分辨率便携式设备最近取得了进展,但这种可变性如何与主动通勤相关的运动强度相互作用,以确定PM的实际吸入剂量(ID)仍未得到充分研究。本研究通过模拟城市不同区域PM浓度的实际记录,在两个循环强度下使用实际实验室导出的通风率,评估了布雷西亚(意大利)市内ID的可变性。在不同的季节(即冷和热)记录了六个不同城市地区的PM,同时测量了47名年轻健康参与者(21名女性)在中强度和高强度骑自行车期间的通气量。不同地区的PM浓度差异很大(~ 30 - 55%;P < 0.001),在寒冷季节更高(~ 35%;P < 0.001)。由于这些差异,在一些地区,与中度相关的通风水平的计算ID与城市中其他PM浓度较低的地区的与重度相关的通风水平计算ID相似。在一项亚分析中,我们的数据还表明,相同相对高强度运动的ID在男性中[1.47(1.18—1.90)µg/min]高于女性[1.05(0.82—1.36)µg/min];P < 0.001, r = 0.24]。在同一个城市内,PM的浓度差异很大,因此即使运动强度低,也可以达到高水平的ID。我们的数据表明,在量化个体暴露于PM时,必须考虑PM浓度、运动强度和个体性别。总的来说,这些证据可以用来为自行车路线的规划提供信息,并提高骑自行车通勤者对运动强度在决定其ID中的作用的认识。
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引用次数: 0
Modeling the effects of additional crowd-sourced delivery service on transportation mode choice in mobility-as-a-service 模拟出行即服务中额外的众包配送服务对交通方式选择的影响
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-25 DOI: 10.1016/j.tbs.2025.101159
Qiang Qi , Soora Rasouli , Tao Feng
This paper investigates the impact of people’s decision to be a crowd-shipper within Mobility-as-a-Service (MaaS) on their transportation mode choice. Leveraging the unique characteristics of MaaS as a comprehensive mobility service platform, we propose embedding Crowd-Sourced Delivery (CSD) as an additional service. This integrated service not only allows travelers to choose a transportation mode but also provides the option to accept (or decline) parcel delivery tasks during their journeys. Given the aim of MaaS to promote the use of sustainable transportation modes and replacement of car-based transport, we designed a stated choice experiment to capture respondents’ choices of transportation modes with and without the additional CSD service. This approach enables us to explore whether being a crowd-shipper has an impact on transportation mode choice. A random parameter mixed logit model was estimated to identify the effects of various factors. The results reveal that car-based transport is generally preferred for delivering parcels. Despite this preference, which contradicts the aim of MaaS, several factors can encourage the use of sustainable transportation modes, including public and active transport, within integrated CSD and MaaS. The parcels not being fragile, less strict delivery time window, and higher monetary incentives for using sustainable transport in CSD are among those factors. Additionally, travel contexts such as travel distance and weather, as well as the age of respondents, also influence the transportation mode choice decision once a parcel delivery task is accepted. These insights offer valuable information for policymakers and service operators to promote the use of sustainable transportation modes within CSD.
本文研究了在移动即服务(MaaS)模式下,人们作为人群托运人的决策对其交通方式选择的影响。利用MaaS作为综合移动服务平台的独特特点,我们建议嵌入众包交付(CSD)作为一项附加服务。这项综合服务不仅允许旅行者选择运输方式,还提供了在旅途中接受(或拒绝)包裹递送任务的选择。鉴于MaaS的目的是促进使用可持续的交通方式和取代汽车交通,我们设计了一个陈述选择实验,以了解受访者对有和没有额外的CSD服务的交通方式的选择。这种方法使我们能够探索作为一个人群托运人是否对运输方式的选择有影响。估计了随机参数混合logit模型,以识别各种因素的影响。结果显示,汽车运输通常是递送包裹的首选。尽管这种偏好与MaaS的目标相矛盾,但有几个因素可以鼓励在综合的CSD和MaaS中使用可持续的交通方式,包括公共交通和主动交通。这些因素包括包裹不易碎、派递时间不那么严格,以及在惩政司使用可持续运输的奖励措施更高。此外,旅行环境,如旅行距离和天气,以及受访者的年龄,也会影响运输方式的选择决策,一旦包裹递送任务被接受。这些见解为政策制定者和服务运营商提供了宝贵的信息,以促进可持续运输模式在惩教署的使用。
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引用次数: 0
Prioritizing service attributes to enhance social acceptance of urban air mobility for airport shuttle 优先考虑服务属性,提高社会对机场穿梭城市空中交通的接受度
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-23 DOI: 10.1016/j.tbs.2025.101135
Yeongmin Kwon , Suji Kim , Jiho Yeo
This study analyzed potential passengers’ perceptions and preferences regarding service factors associated with the Urban Air Mobility (UAM) airport shuttle in anticipation of their commercialization. We categorized its service factors into two categories: i) airport access and ii) airport and airline services. Airport access attributes include in-vehicle travel time, out-of-vehicle travel time, fare, transfer convenience, security screening convenience, and carpooling, and airport and airline service attributes encompass premium lounge access, security screening fast track, luggage priority handling, mobility-as-a-service, and duty-free shop discounts. To evaluate passengers’ preferences for UAM services, we collected a total of 1,643 responses and analyzed the data using the Best-Worst Scaling method. The analysis result shows that factors related to several airport access attributes, such as fare, in-vehicle and out-of-vehicle travel time, and transfer convenience, significantly affect people’s acceptance, but airport and airline services (e.g., carpooling, premium lounge access, and duty-free shop discounts) are less important for people’s decisions. This emphasizes the need to focus on attributes directly related to the quality of airport access trips, particularly in the early stages of UAM airport shuttle services. Stakeholders should prioritize reducing total travel time, offering economical fares, and improving transfer convenience. Additionally, they can enhance airport and airline services to ensure the successful introduction of UAM airport shuttles. The research findings provide fundamental data for the successful implementation and development of UAM airport shuttle services in the future by identifying crucial service attributes for potential UAM passengers.
本研究分析了潜在乘客对与城市空中交通(UAM)机场班车相关的服务因素的看法和偏好,以预测其商业化。我们将其服务因素分为两类:i)机场通道和ii)机场和航空公司服务。机场访问属性包括车内旅行时间、车外旅行时间、票价、转机便利性、安检便利性和拼车,机场和航空公司服务属性包括贵宾休息室访问、安检快速通道、行李优先处理、移动即服务和免税商店折扣。为了评估乘客对UAM服务的偏好,我们共收集了1,643份回复,并使用Best-Worst Scaling方法分析了数据。分析结果表明,与票价、车内外出行时间、换乘便利性等机场通行属性相关的因素显著影响人们的接受度,而机场和航空公司服务(如拼车、贵宾休息室和免税店折扣)对人们的决策影响较小。这强调有必要把重点放在与前往机场的旅行质量直接相关的特性上,特别是在UAM机场班车服务的早期阶段。利益相关者应该优先考虑减少总旅行时间,提供经济的票价,提高换乘便利性。此外,他们还可以加强机场和航空公司的服务,以确保成功推出UAM机场班车。研究结果通过确定潜在UAM乘客的关键服务属性,为未来成功实施和发展UAM机场班车服务提供了基础数据。
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引用次数: 0
Influences of destination experience and trip characteristics on perceived leisure travel time: Evidence from Guangdong-Hong Kong-Macao Greater Bay Area 目的地体验和旅行特征对感知休闲旅游时间的影响:来自粤港澳大湾区的证据
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-22 DOI: 10.1016/j.tbs.2025.101156
Fangyu Liu , Zidan Mao , Ying Zhao
How travelers perceive their travel time has long been studied, and most studies focus on the influence of trip characteristics on perceived travel time (PTT). However, the role of destinations has been insufficiently considered. This study explores the factors influencing PTT during inter-city leisure travel, by developing a time perception impact model encompassing two key dimensions: destination experiences and trip characteristics. Based on the data collected from a survey of 1,526 respondents across 9 cities in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), the findings reveal that: (1) longer travel duration increase PTT, while private cars and high-speed rail users report lower PTT compared to those bus and subway users; (2) familiarity with the destination, as well as hedonic and eudaimonic experiences at the destination are negatively associated with PTT; (3) the impact factors of PTT vary across different destination types (core cities, peripheral cities in Chinese Mainland, and special administrative region cities). This research underscores the importance of incorporating destination experience into the evaluation of travel experiences and service provision. This research suggests the importance of linking the transportation systems with the destinations and implementing differentiated traffic policies and planning for destinations.
旅行者对旅行时间感知的研究由来已久,大多数研究都集中在旅行特征对旅行时间感知的影响上。然而,目的地的作用没有得到充分考虑。本研究通过建立包含目的地体验和旅行特征两个关键维度的时间感知影响模型,探讨城市间休闲旅游中PTT的影响因素。基于对粤港澳大湾区(GBA) 9个城市的1526名受访者的调查数据,研究结果表明:(1)较长的出行时间增加了PTT,而私家车和高铁用户的PTT低于公交和地铁用户;(2)对目的地的熟悉程度、目的地的享乐体验和幸福体验与PTT呈负相关;(3)不同目的地类型(核心城市、大陆周边城市和特别行政区城市)的PTT影响因子存在差异。这项研究强调了将目的地体验纳入旅游体验和服务提供评估的重要性。研究结果表明,将交通系统与目的地联系起来,实施差别化的交通政策和目的地规划的重要性。
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引用次数: 0
Exploring heterogeneity in preferences for Mobility as a Service: An airport ground access case in Qingdao, China 探索出行即服务偏好的异质性:中国青岛机场地面通道案例
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-17 DOI: 10.1016/j.tbs.2025.101149
Jing Teng , Tong Wu , Zhang Cen , Jinyang Li , Hui Wang
Mobility as a Service (MaaS) presents a promising solution to alleviate road congestion in airport-urban corridors by integrating multimodal transportation services. This study investigates heterogeneity in user preferences for MaaS through a case study of Qingdao Jiaodong International Airport in China. A Latent Class Choice Model (LCCM) framework was employed to analyze stated preference data collected via choice experiments, focusing on MaaS bundling, pricing, and individual attributes. Three distinct user segments were identified: Strong Supporters, primarily young, low-income, non-local travelers favoring public transport-based MaaS; Conditional Supporters, high-income frequent flyers open to MaaS if it matches taxi-like convenience; and Non-Supporters, older, car-owning residents resistant to MaaS. Results reveal significant heterogeneity in preferences, driven by age, income, car ownership, and travel frequency. The study highlights the importance of tailored MaaS packages: cost-effective public transport bundles with discounts for Strong Supporters, on-demand services for Conditional Supporters, and car-sharing incentives for Non-Supporters. Findings underscore the need for differentiated marketing strategies and equitable service design to enhance MaaS adoption in airport access scenarios. This research provides actionable insights for policymakers and operators to optimize MaaS implementation in suburban airport contexts, addressing challenges such as travel time reliability, multimodal integration, and user-specific needs.
移动即服务(MaaS)通过整合多式联运服务,为缓解机场-城市走廊的道路拥堵提供了一种很有前景的解决方案。本研究以青岛胶东国际机场为例,探讨MaaS用户偏好的异质性。使用潜在类别选择模型(LCCM)框架分析通过选择实验收集的陈述偏好数据,重点关注MaaS捆绑、定价和个人属性。我们确定了三个不同的用户群体:强烈的支持者,主要是年轻、低收入、非本地旅行者,他们喜欢基于公共交通的MaaS;有条件的支持者,高收入的常旅客,如果与出租车一样方便,可以加入MaaS;以及反对MaaS的非支持者、年长的有车居民。结果显示,受年龄、收入、汽车拥有量和旅行频率的影响,人们的偏好存在显著的异质性。该研究强调了量身定制的MaaS套餐的重要性:高性价比的公共交通捆绑服务,为有条件的支持者提供折扣,为有条件的支持者提供按需服务,为非支持者提供汽车共享奖励。研究结果强调,需要采取差异化的营销策略和公平的服务设计,以提高机场接入场景中MaaS的采用。该研究为决策者和运营商提供了可操作的见解,以优化郊区机场环境中的MaaS实施,解决诸如旅行时间可靠性、多模式集成和用户特定需求等挑战。
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引用次数: 0
“I care about transport sustainability, but i have children”: Open-text surveys highlight the concerns of families with children “我关心交通的可持续性,但我有孩子”:开放式文本调查强调了有孩子家庭的担忧
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-16 DOI: 10.1016/j.tbs.2025.101155
Elnaz Sarkheyli , Azadeh Sarkheyli
The importance of providing access to quality public transport has been discussed in numerous literature and reports. Despite growing recognition of the need for inclusive public transport, the specific mobility needs of children and their caregivers remain largely overlooked in transport planning and evaluation. Conventional assessments—which rely on structured, expert-driven criteria such as accessibility, punctuality, and safety— often fail to capture the nuanced capabilities and unequal access experienced by underrepresented groups, such as families with children. This study addresses this gap by adopting an inductive approach to analyze open-text responses from survey data collected between 2022 and 2023 by the Swedish Public Transport Association. Employing sentiment and content analysis, we investigated how the survey respondents address children-related accessibility challenges and concerns about traveling by public transport while accompanying children. Approximately 15 % of the survey respondents answered the open-text questions, with around 3 % (415 individuals in 2022 and 588 in 2023) specifically mentioning the words “child” or “children.” Reviewing the responses, we identified four key concerns that constrain the capabilities of children and their caregivers: (1) time-management pressures, (2) affordability and value concerns, (3) safety concerns, and (4) comfort and convenience limitations. Through the lenses of transport justice and capability theory, we argue that capability deprivation could reinforce car dependency or reduce mobility and social participation opportunities for families with children. The results underscore the need to integrate child- and caregiver-specific needs into public transport planning and design. Furthermore, this study highlights the value of unstructured public feedback in revealing unmet mobility demands and nuanced quality expectations, which are critical for ensuring equitable access to sustainable transport for all citizens.
提供高质量公共交通的重要性已经在许多文献和报告中讨论过。尽管人们日益认识到包容性公共交通的必要性,但在交通规划和评估中,儿童及其照顾者的具体移动需求在很大程度上仍被忽视。传统的评估依赖于结构化的、专家驱动的标准,如可及性、准时性和安全性,往往无法捕捉到代表性不足的群体(如有孩子的家庭)所经历的细微差别和不平等机会。本研究通过采用归纳方法分析瑞典公共交通协会在2022年至2023年间收集的调查数据中的开放文本回复,解决了这一差距。采用情感分析和内容分析的方法,我们调查了受访者在陪同儿童乘坐公共交通工具时如何应对与儿童相关的无障碍挑战和担忧。大约15%的受访者回答了开放文本问题,大约3%(2022年为415人,2023年为588人)特别提到了“孩子”或“孩子”这个词。通过对调查结果的回顾,我们确定了制约儿童及其照顾者能力的四个关键问题:(1)时间管理压力;(2)负担能力和价值问题;(3)安全问题;(4)舒适和便利限制。通过交通公平和能力理论的视角,我们认为能力剥夺可能会加强对汽车的依赖,或减少有孩子家庭的流动性和社会参与机会。研究结果强调,需要将儿童和照顾者的具体需求纳入公共交通规划和设计。此外,本研究强调了非结构化的公众反馈在揭示未满足的交通需求和细微的质量期望方面的价值,这对于确保所有公民公平获得可持续交通至关重要。
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引用次数: 0
Do visual attributes of streetscapes affect car crashes? Applications of computer vision techniques and Machine learning 街景的视觉属性会影响车祸吗?计算机视觉技术和机器学习的应用
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-14 DOI: 10.1016/j.tbs.2025.101153
Junsang Park, Sugie Lee
This study examines the relationships between visual attributes of streetscapes and car crashes by quantifying the visual characteristics of urban road landscapes from a driver’s perspective. Utilizing street panoramic images, advanced computer vision, and interpretable machine learning techniques, the research identifies key visual factors impacting traffic safety. The findings reveal that green spaces in urban areas can reduce traffic accidents, supporting the idea that natural elements calm drivers and enhance safety. Conversely, excessive signage and high visual complexity increase accident rates due to cognitive overload and distractions. These insights have significant implications for urban planning and traffic safety policies. By pinpointing specific visual features that influence car crashes, urban planners and transportation engineers can design interventions to modify these elements, ultimately enhancing road safety.
本研究通过从驾驶员的角度量化城市道路景观的视觉特征,探讨了街道景观视觉属性与车祸之间的关系。利用街道全景图像、先进的计算机视觉和可解释的机器学习技术,该研究确定了影响交通安全的关键视觉因素。研究结果表明,城市地区的绿地可以减少交通事故,支持自然元素使驾驶员平静并提高安全性的观点。相反,过多的标识和高视觉复杂性会增加因认知超载和分心而导致的事故率。这些见解对城市规划和交通安全政策具有重要意义。通过精确定位影响车祸的特定视觉特征,城市规划者和交通工程师可以设计干预措施来修改这些元素,最终提高道路安全。
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引用次数: 0
Risk assessment of e-bikes at intersections: An unsupervised machine learning approach incorporating risky behavior and riding volatility data 十字路口电动自行车的风险评估:一种结合风险行为和骑行波动性数据的无监督机器学习方法
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-13 DOI: 10.1016/j.tbs.2025.101148
Xiaolong Zhang , Yang Bian , Xiaohua Zhao , Jianling Huang , Yuheng Li
The management of traffic safety for electric bikes (e-bikes) at intersections has become a significant challenge for advancing e-bikes as a sustainable mode of transportation. Risk assessment is a critical component in addressing this issue. However, the primary reliance on small sample observations of crashes and conflicts for assessing e-bike risk at intersections presents challenges in its comprehensive application to urban road networks. This study employs a novel approach to address this issue by leveraging extensive shared e-bike trajectory data to identify risky riding behaviors and riding volatility data. Through the utilization of three unsupervised machine learning models, namely non-negative matrix factorization (NMF), principal component analysis (PCA), and autoencoder (AE), a new indicator called the “Traffic Operation Risk Index (TORI)” is developed to evaluate safety risks at intersections. The findings indicate that NMF distinguishes high and low-risk levels and offers superior interpretability of latent factors due to its traits like non-negative constraints, linear dimensionality reduction, and excellent local feature interpretability. Conversely, PCA emphasizes the global performance of features, which aids in identifying feature clusters and enhances the detection of influencing factors. In contrast, AE’s non-linear dimensionality reduction method may not be sufficient for assessing linear issues like traffic operation risk. This innovative method proposed in the study holds practical significance in enhancing risk dynamic monitoring, safety analysis, and infrastructure improvement for e-bikes.
十字路口电动自行车(e-bike)的交通安全管理已成为推动电动自行车作为可持续交通方式的重大挑战。风险评估是解决这一问题的关键组成部分。然而,主要依靠小样本的碰撞和冲突来评估十字路口电动自行车的风险,这对其在城市道路网络中的全面应用提出了挑战。本研究采用了一种新颖的方法来解决这一问题,即利用广泛的共享电动自行车轨迹数据来识别危险骑行行为和骑行波动性数据。利用非负矩阵分解(NMF)、主成分分析(PCA)和自动编码器(AE)三种无监督机器学习模型,提出了一种新的交通运行风险指数(TORI)来评估交叉口的安全风险。研究结果表明,NMF具有非负性约束、线性降维和良好的局部特征可解释性等特点,区分了高、低风险水平,对潜在因素具有优越的可解释性。相反,PCA强调特征的全局性能,这有助于识别特征簇并增强对影响因素的检测。相比之下,声发射的非线性降维方法可能不足以评估交通运行风险等线性问题。本研究提出的创新方法对于加强电动自行车的风险动态监测、安全分析和基础设施改善具有现实意义。
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引用次数: 0
Shifting towards active and sustainable commuting: the relative importance of factors associated with reduced car commuting among Finnish public sector employees 转向积极和可持续的通勤:芬兰公共部门雇员减少汽车通勤相关因素的相对重要性
IF 5.7 2区 工程技术 Q1 TRANSPORTATION Pub Date : 2025-10-13 DOI: 10.1016/j.tbs.2025.101154
Juuso J. Jussila , Kia Gluschkoff , Jaana I. Halonen , Olli Kurkela , Timo Lanki , Anna Makkonen , Antti Rehunen , Paula Salo , Emilia Suomalainen , Marko Tainio , Jenni Ervasti
Shifting from car to walking, cycling, or public transport increases physical activity and decreases traffic-related emissions. However, many commutes with healthier transportation options are still undertaken by private cars, highlighting the need for a deeper understanding of the factors associated with commuting modal shift. By linking individual-level survey data with grid-based data on the residential environment, we examined the relative importance of factors associated with reduced car commuting from 2020 to 2022 among 4464 Finnish public sector employees using dominance analysis. While the overall predictive power of the analysis was low, shorter average commute length, lower proportion of green areas, being a non-smoker, higher proportion of households without a car, shorter distance to the nearest grocery shop, less car ownership, higher total physical activity, and lower body mass index emerged as the most important factors. Results suggest that residential environment, health, and health behaviours only explain a small proportion of the total variance in a shift towards healthier commuting. Future studies should explore the role of individual psychosocial factors and workplace environment characteristics in explaining modal shifts in commuting within Nordic countries.
从开车转向步行、骑自行车或公共交通可以增加身体活动,减少与交通有关的排放。然而,许多拥有更健康交通选择的通勤仍然是由私家车进行的,这突出表明需要更深入地了解与通勤方式转变相关的因素。通过将个人层面的调查数据与基于网格的住宅环境数据联系起来,我们使用优势分析,对4464名芬兰公共部门雇员进行了调查,研究了2020年至2022年汽车通勤减少相关因素的相对重要性。虽然分析的整体预测能力较低,但较短的平均通勤长度、较低的绿地比例、不吸烟、较高的无车家庭比例、较短的距离到最近的杂货店、较少的汽车拥有量、较高的总体力活动和较低的身体质量指数成为最重要的因素。结果表明,居住环境、健康和健康行为只能解释向健康通勤转变的一小部分总方差。未来的研究应探讨个人社会心理因素和工作场所环境特征在解释北欧国家通勤模式转变中的作用。
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Travel Behaviour and Society
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