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Cycling and cognition in middle-aged and older adults: A scoping review 中老年人骑车与认知:一项范围综述
Pub Date : 2025-09-24 DOI: 10.1016/j.jcmr.2025.100092
Kathryn L. Walker , Adrienne Gaudreault , Stephanie A. Prince , Gary Goldfield , Vanessa Taler , Monica Taljaard , Meghan Winters , Elizabeth Kristjansson

Introduction

Cognitive decline with aging is a population health issue. Cycling may help maintain cognitive function and prevent cognitive decline in older adulthood. We conducted a scoping review to summarize and identify gaps in the literature examining cycling for transportation and/or recreation and their association with cognition in middle-aged and older adults.

Methods

Nine bibliographic databases were searched (inception-March 2024) to identify all articles that reported on cycling for transportation, leisure outdoors, or cycling indoors along a virtual bike path, and any cognitive outcome among adults ≥ 45 years of age. We summarized article findings and associations narratively.

Results

Searching identified 5171 citations, and 23 articles were included examining apparently healthy and clinical populations. Cycling interventions included virtual cycling indoors (randomized controlled trials=10, quasi-experimental=5), cycling outdoors for recreation (quasi-experimental=3, cross-sectional=1), any reason (cohort=1, cross-sectional=1), or transportation (simulation modelling=2). The most frequently examined cognitive outcome was executive function (n = 15), followed by memory (n = 9) and, global cognition (n = 9). Most articles (70 %) reported a statistically significant positive association between cycling and a cognitive outcome. Identified literature gaps include, a lack of sex- and gender-based analyses; robust study designs exploring cycling outdoors including for transportation; and literature examining additive cognitive benefits of cycling over other physical activity and transportation modes.

Conclusion

Cycling may help maintain or improve cognitive health during aging. Further high-quality research is needed to examine outdoor and transport cycling across all cognitive outcomes, the additional benefits of cycling over other physical activity and transportation modes, and whether gender differences exist. Cycling may help maintain or improve cognitive health during aging. Further high-quality research is needed to examine outdoor and transport cycling across all cognitive outcomes, the additional benefits of cycling over other physical activity and transportation modes, and whether gender differences exist.
老年认知能力下降是一个人口健康问题。骑自行车可能有助于维持认知功能,防止老年人的认知能力下降。我们进行了一项范围综述,以总结和确定文献中关于骑自行车作为交通和/或娱乐方式及其与中老年认知关系的空白。方法检索9个文献数据库(开始至2024年3月),以确定所有报道骑自行车作为交通工具、户外休闲或沿着虚拟自行车道在室内骑自行车的文章,以及≥ 45岁成年人的任何认知结果。我们以叙述性的方式总结了文章的发现和关联。结果检索得到5171条引用,其中23篇文章检查了明显健康的临床人群。骑行干预包括室内虚拟骑行(随机对照试验=10,准实验=5)、户外骑行娱乐(准实验=3,横断面=1)、任何原因(队列=1,横断面=1)或交通(模拟建模=2)。最常检查的认知结果是执行功能(n = 15),其次是记忆(n = 9)和整体认知(n = 9)。大多数文章(70 %)报道了骑车和认知结果之间有统计学意义的正相关。已确定的文献缺口包括:缺乏性别和基于性别的分析;稳健的研究设计探索户外骑自行车,包括交通;还有文献研究了骑自行车对认知的附加益处,而不是其他体育活动和交通方式。结论骑自行车有助于维持或改善老年人的认知健康。需要进一步的高质量研究来检查户外和交通自行车在所有认知结果中的作用,骑自行车相对于其他身体活动和交通方式的额外好处,以及性别差异是否存在。骑车可能有助于维持或改善老年人的认知健康。需要进一步的高质量研究来检查户外和交通自行车在所有认知结果中的作用,骑自行车相对于其他身体活动和交通方式的额外好处,以及性别差异是否存在。
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引用次数: 0
Are we measuring what matters? A multilayered framework evaluating active mobility infrastructure through PLOS, BLOS and 15 minute city principles 我们衡量的是什么重要吗?通过PLOS、BLOS和15分钟城市原则评估主动移动基础设施的多层框架
Pub Date : 2025-09-23 DOI: 10.1016/j.jcmr.2025.100089
Richa Maheshwari , Martin Loidl , Rupali Khare , Mario Cools
Active mobility is increasingly recognised as the cornerstone of sustainable urban development. Providing suitable infrastructure for walking and cycling is essential for promoting active transport and achieving its associated environmental and health benefits. However, systematically evaluating the suitability of active mobility infrastructure remains a methodological challenge. This paper presents a multilayered conceptual framework designed to assist policymakers, practitioners, and researchers in assessing active mobility infrastructure by integrating Pedestrian and Bicycle Level of Service models with the principles of the 15 min city. The hierarchical framework organises six broad constructs, such as Facilities, Geometric Design, Built and Natural Environment, Amenities, Proximity and Accessibility, and Flow and Traffic Characteristics, under which 138 unique indicators are classified. A systematic review of 78 studies using the PRISMA protocol guided the development of this structure, revealing both commonly cited and underutilised indicators critical for infrastructure evaluation. The three-layered framework illustrates how pedestrian and cyclist experiences are shaped by the interplay between physical infrastructure, its surrounding environment, and functional performance. It enhances conceptual clarity, reduces redundancy and ambiguities caused by overlapping terminologies, and supports evaluation at both micro and macro scales. It introduces the "Golden Nuggets", i.e., the essential indicators for evaluating non-motorised infrastructure and highlights underused but important metrics. The framework also recommends scaling segment-based assessments to route- and network-based levels, advancing current PLOS and BLOS models. Future research should focus on empirical validation across spatial scales and the development of indicator weighting schemes to enhance the framework’s application as a practical, scalable, and transferable evaluation tool.
人们日益认识到,主动出行是城市可持续发展的基石。为步行和骑自行车提供适当的基础设施对于促进主动交通和实现相关的环境和健康效益至关重要。然而,系统地评估主动移动基础设施的适用性仍然是一个方法上的挑战。本文提出了一个多层概念框架,旨在通过将步行和自行车服务水平模型与15分钟城市原则相结合,帮助政策制定者、从业者和研究人员评估主动移动基础设施。该分级框架组织了六个广泛的结构,如设施,几何设计,建筑和自然环境,便利设施,邻近和可达性,以及流量和交通特征,在138个独特的指标下分类。对使用PRISMA协议的78项研究的系统回顾指导了该结构的发展,揭示了对基础设施评估至关重要的常被引用和未充分利用的指标。这个三层框架说明了行人和骑自行车的人的体验是如何通过物理基础设施、周围环境和功能性能之间的相互作用而形成的。它增强了概念的清晰度,减少了由重叠术语引起的冗余和歧义,并支持微观和宏观尺度的评估。它介绍了“金块”,即评估非机动基础设施的基本指标,并强调了未充分利用但重要的指标。该框架还建议将基于路段的评估扩展到基于路由和网络的水平,推进当前的PLOS和BLOS模型。未来的研究应侧重于跨空间尺度的实证验证和指标加权方案的开发,以增强该框架作为实用、可扩展和可转移的评估工具的应用。
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引用次数: 0
Drivers and barriers to integrating shared micromobility with public transport A latent class clustering analysis of adoption attitudes in the Netherlands 将共享微交通与公共交通整合的驱动因素和障碍:荷兰采用态度的潜在类聚类分析
Pub Date : 2025-09-22 DOI: 10.1016/j.jcmr.2025.100090
Nejc Geržinič , Mark van Hagen , Hussein Al-Tamimi , Niels van Oort , Dorine Duives
Shared micromobility (SMM), including bicycles, e-bikes, scooters, etc., is often cited as a solution to the first and especially the last mile problem of public transport (PT), yet when implemented, they often do not get adopted by a broader travelling public. As behavioural adaption is largely related to peoples’ attitudes and perceptions, we develop a behavioural framework based on the UTAUT2 framework to gain better understanding why individuals may (not) be willing to use SMM. Through an exploratory factor analysis (EFA) and a latent class cluster analysis (LCCA), we study the adoption potential of SMM and assess drivers and barriers as perceived by different user groups. Our findings uncover six user groups; Shared mobility positives, Car-oriented sharing neutrals, Older apprehensive sharers, Young eager adopters, (Shared) Mobility avoiders and Skilled sharing sceptics. The Young eager adopters and Shared mobility positives tend to be the most open to adopting SMM and able to do so. Older apprehensive sharers would like to, but find it difficult or dangerous to use, while Skilled sharing sceptics are capable and confident, but have limited intention of using it. Car-oriented sharing neutrals and (Shared) Mobility avoiders are most negative about SMM, finding it difficult to use and dangerous. Factors relating to technological savviness, ease-of-use, physical safety and societal perception seem to be the strongest adoption predictors. Younger, high-educated males are the group most likely and open to using SMM, while older individuals with lower incomes and a lower level of education tend to be the least likely.
共享微型交通(SMM),包括自行车、电动自行车、踏板车等,通常被认为是解决公共交通(PT)第一英里,特别是最后一英里问题的解决方案,然而,当实施时,它们通常不会被更广泛的出行公众所采用。由于行为适应在很大程度上与人们的态度和看法有关,我们基于UTAUT2框架开发了一个行为框架,以更好地理解个人可能(不)愿意使用SMM的原因。通过探索性因子分析(EFA)和潜在类聚类分析(LCCA),我们研究了SMM的采用潜力,并评估了不同用户群体感知的驱动因素和障碍。我们的发现揭示了六个用户群体;共享出行的积极者,以汽车为导向的共享中立者,年长的忧虑型共享者,年轻的渴望接受者,(共享)出行回避者和熟练的共享怀疑论者。年轻的积极采用者和共享出行的积极分子倾向于最开放地采用SMM,并且能够这样做。年长的担心分享者想要使用,但发现使用起来困难或危险,而熟练的分享怀疑论者有能力和信心,但使用它的意图有限。以汽车为导向的共享中立者和(共享)移动回避者对SMM最持负面态度,认为它难以使用且危险。与技术熟练度、易用性、人身安全和社会认知相关的因素似乎是最有力的采用预测因素。年轻、受过高等教育的男性是最有可能和最愿意使用SMM的群体,而收入较低、受教育程度较低的老年人往往最不可能使用SMM。
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引用次数: 0
Modelling the impact of lower speed limits on residential streets for cyclist level of traffic stress and car travel time in Greater Melbourne 模拟大墨尔本居民区街道上较低的速度限制对骑自行车者交通压力水平和汽车旅行时间的影响
Pub Date : 2025-09-06 DOI: 10.1016/j.jcmr.2025.100085
Afshin Jafari , Steve Pemberton , Sapan Tiwari , Tayebeh Saghapour , Nikhil Chand , Belen Zapata-Diomedi , Billie Giles-Corti
Reducing speed limits to create safer, lower-stress environments for cyclists is a widely proposed policy but often faces resistance due to concerns about increased travel times. This study evaluates these concerns by assessing Level of Traffic Stress (LTS) under existing speed limits (base scenario) and the effects of reducing residential street speed limits to 40 km/h and 30 km/h (alternative scenarios) on cycling LTS and car travel time.
LTS is a widely used measure of cycling stress, categorising road segments from LTS-1 (least stressful) to LTS-4 (most stressful). We assigned LTS values to all road segments in Greater Melbourne based on cycling infrastructure, road hierarchy, traffic volume, and speed limits from OpenStreetMap. Trips from a government travel survey were then routed through the network to estimate exposure to different LTS levels under base and alternative scenarios. Additionally, a mode choice model was developed to examine the impact of LTS exposure on cycling likelihood. Finally, an agent-based transport model was used to evaluate the impact of this intervention on car travel time.
Results showed significant reductions in high-LTS exposure with lower speed limits. Under the base case, 27.9% of routes were on LTS-1 roads, and at 30 km/h this increased to 63.3%. Mode choice model results confirmed a strong negative correlation between cycling likelihood and high-LTS exposure. Car travel time impacts were minimal, even for trips largely on residential streets the average was only one minute.
降低车速限制,为骑自行车的人创造更安全、压力更小的环境,是一项被广泛提出的政策,但由于担心会增加出行时间,这一政策经常遭到抵制。本研究通过评估现有限速(基本情景)下的交通压力水平(LTS),以及将住宅街道限速降低至40公里/小时和30公里/小时(替代情景)对骑行LTS和汽车旅行时间的影响,来评估这些担忧。LTS是一种广泛使用的骑行压力测量方法,它将道路分段从LTS-1(压力最小)到LTS-4(压力最大)分类。我们根据OpenStreetMap的自行车基础设施、道路等级、交通量和速度限制,为大墨尔本的所有路段分配了LTS值。然后,从政府旅行调查中得出的行程通过网络进行路由,以估计在基本和替代方案下暴露于不同LTS水平的情况。此外,我们还建立了一种模式选择模型来检验LTS暴露对循环可能性的影响。最后,利用一个基于agent的交通模型来评估这种干预对汽车出行时间的影响。结果显示,较低的速度限制显著减少了高lts暴露。在基本情况下,27.9%的路线在LTS-1道路上,而在30公里/小时的情况下,这一比例增加到63.3%。模式选择模型结果证实了循环可能性与高lts暴露之间的强烈负相关。汽车出行时间的影响很小,即使是在居民区的街道上,平均也只有一分钟。
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引用次数: 0
Identifying e-scooter rider profiles in the United States: A latent class cluster analysis 在美国识别电动滑板车骑手概况:一个潜在的类聚类分析
Pub Date : 2025-09-05 DOI: 10.1016/j.jcmr.2025.100088
Aurojeet Jena , Basar Ozbilen , Alimurtaza Kothawala , Yongsung Lee , Kailai Wang , Charalampos Saridakis , Zia Wadud , Yuanxuan Yang , Susan Grant-Muller , Sebastian Castellanos , Giovanni Circella
The global rise of e-scooters as a novel form of micromobility has reshaped urban transportation. Positioned as a sustainable mobility solution, transportation scholars underline that e-scooters have the potential to replace short car trips, reduce traffic congestion and carbon emissions, and increase energy efficiency of transportation systems. While existing literature has explored e-scooter adoption and trip characteristics extensively, there remains a research gap regarding the classification of e-scooter users. This paper attempts to overcome this deficiency by employing a latent class cluster analysis to classify e-scooter users based on their trip frequency, motivation, and purpose. Data used for the analysis were collected from e-scooter users in Washington, DC and Portland, OR in the United States. The results reveal two distinct classes of e-scooter users: ‘Joyriders’ and ‘Busyriders’. Joyriders tend to be young, female and belong to higher-income and vehicle-affluent households. They use e-scooters for leisure or tourism purposes, valuing pleasure and time savings. Busyriders are predominantly males aged 18–54 from vehicle-deficient households spanning diverse income groups and use e-scooters weekly for commuting, errands, and shopping purposes, prioritizing utilitarian and environmental benefits. The findings of this study can inform policymakers in developing effective e-scooter promotion policies, tailored to the preferences and needs of different user groups. The policy implications from this study can contribute towards the incorporation of e-scooters as a sustainable and efficient travel alternative into urban transportation.
电动滑板车作为一种新型微型交通工具在全球兴起,重塑了城市交通。交通学者强调,作为一种可持续的交通解决方案,电动滑板车有可能取代短途汽车出行,减少交通拥堵和碳排放,并提高交通系统的能源效率。虽然现有文献对电动滑板车的使用和出行特征进行了广泛的探讨,但对电动滑板车用户的分类研究仍然存在空白。本文试图通过使用潜在类聚类分析来根据他们的出行频率,动机和目的对电动滑板车用户进行分类,从而克服这一缺陷。用于分析的数据是从美国华盛顿特区和波特兰的电动滑板车用户中收集的。研究结果显示,电动滑板车用户分为两类:“兜风者”和“忙碌者”。开车兜风的人往往是年轻的女性,属于收入较高、拥有大量车辆的家庭。他们将电动滑板车用于休闲或旅游目的,重视乐趣和节省时间。乘坐电动滑板车的人主要是年龄在18-54岁之间的男性,他们来自不同收入群体的无车家庭,每周使用电动滑板车上下班、办事和购物,优先考虑实用性和环境效益。本研究的结果可以为政策制定者制定有效的电动滑板车推广政策提供参考,以适应不同用户群体的偏好和需求。这项研究的政策意义可以有助于将电动滑板车作为一种可持续和高效的出行选择纳入城市交通。
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引用次数: 0
Exploring free riding behavior: An instrumented bicycle study on the impact of infrastructure and wind on bicycling 探索自由骑行行为:一项关于基础设施和风对自行车影响的仪器自行车研究
Pub Date : 2025-08-28 DOI: 10.1016/j.jcmr.2025.100083
Danil Belikhov , Guillermo Pérez Castro , Mathis Titgemeyer , Fredrik Johansson , Heather Kaths , Johan Olstam
Understanding free riding behavior—where bicyclists are unconstrained by other road users or traffic control measures—is essential for planning efficient and appealing bicycle traffic systems. Bicyclist behavior is shaped by a combination of environmental conditions and individual preferences. This study examines free riding behavior, and identifies correlations with individual characteristics and contextual features such as infrastructure design (slopes and curves) and wind speed. We introduce a method using instrumented bicycles in a semi-controlled experiment to collect data describing the speed, power output, and heart rate of commuting bicyclists. Participants in two study populations (28 in Sweden and 29 in Germany) ride their bicycles equipped with sensors along designated routes during off-peak demand periods, enabling comparative analysis of different trip features. Results highlight significant inter- and intrapersonal variations in speed and power output along a trip. Approximately 80 percent of the variation in free riding speed and power output over a trip, and over both populations of bicyclists, is explained by gender, individual preferences, topography, curvature, crossing intersections, and wind speeds. Headwinds and uphills generally reduce speeds but bicyclists increase power output to partially offset these effects. Downhills lead to high speed variation and distinct tactical behaviors, such as braking, coasting, and accelerating. These findings underscore the complexity of bicycling behavior and quantify how bicyclists adapt to varying features of the trip.
了解免费骑行行为——骑自行车的人不受其他道路使用者或交通管制措施的约束——对于规划高效和有吸引力的自行车交通系统至关重要。骑自行车的人的行为是由环境条件和个人偏好共同决定的。这项研究考察了搭便车行为,并确定了个人特征和环境特征(如基础设施设计(斜坡和曲线)和风速)之间的相关性。在半控制实验中,我们介绍了一种使用仪表自行车来收集通勤骑自行车者的速度、功率输出和心率数据的方法。两个研究群体的参与者(瑞典28人,德国29人)在非高峰时段沿着指定路线骑装有传感器的自行车,以便对不同的出行特征进行比较分析。结果强调了在旅途中速度和功率输出的显著的人与人之间和人与人之间的差异。大约80%的免费骑行速度和功率输出的变化,在一次旅行中,在两个骑自行车的人群中,可以用性别、个人偏好、地形、曲率、十字路口和风速来解释。逆风和上坡通常会降低速度,但骑自行车的人会增加功率输出来部分抵消这些影响。下坡导致高速变化和独特的战术行为,如制动,滑行和加速。这些发现强调了骑自行车行为的复杂性,并量化了骑自行车者如何适应旅行的不同特征。
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引用次数: 0
Detecting statistically significant annual changes in cycling volumes based on crowdsourced GPS-data 基于众包gps数据检测骑行量的统计显著年度变化
Pub Date : 2025-08-25 DOI: 10.1016/j.jcmr.2025.100080
Joscha Raudszus , Emely Richter , Sven Lißner
It is essential for local authorities to conduct retrospective analyses of the impacts of infrastructure measures and barriers on cycling. Typically, such evaluations can only be performed at specific locations through permanent counting stations, or with the help of on site surveys. However, to gain a comprehensive overview across an entire network, extensive GPS track data proves invaluable. A bivariate correlation analysis is employed to examine the linear relationship between GPS tracks and data from permanent counting stations. To facilitate comparison, the annual GPS tracks are aggregated into hexagonal grids, and the annual changes are quantified using various approaches. A spatial correlation analysis is then conducted for each approach using Moran’s I, identifying clusters of significant changes. These results are compared and validated against known infrastructure measures and barriers, using a German City (Dresden) as a case study. The analysis reveals a moderate to strong linear correlation between GPS data and permanent counting station data. Infrastructure measures and barriers are identifiable across all methods of analyzing annual changes, and, in certain instances, shifts in cyclist routes to or from alternative nearby roads are also detected. Given that certain clusters of significant change cannot be directly attributed to specific infrastructure measures or barriers, it is crucial to incorporate multiple approaches to analyze annual change. This methodology helps mitigate the risk of false inferences, enhancing the robustness and reliability of the findings.
地方当局必须对基础设施措施和障碍对骑行的影响进行回顾性分析。通常,这种评价只能通过常设点票站或在现场调查的帮助下在特定地点进行。然而,要获得整个网络的全面概况,大量的GPS跟踪数据证明是无价的。本文采用双变量相关分析方法对GPS航迹与永久计数站数据之间的线性关系进行了检验。为了便于比较,将GPS年轨迹聚合成六边形网格,并采用多种方法对年变化进行量化。然后使用Moran 's I对每种方法进行空间相关性分析,确定显著变化的集群。将这些结果与已知的基础设施措施和障碍进行比较和验证,并以德国城市(德累斯顿)为例进行研究。分析表明,GPS数据与永久计数站数据之间存在中等到较强的线性相关性。通过分析年度变化的所有方法,可以识别基础设施措施和障碍,并且在某些情况下,还可以检测到骑自行车者往返于其他附近道路的路线的变化。鉴于某些重大变化集群不能直接归因于特定的基础设施措施或障碍,因此结合多种方法来分析年度变化至关重要。这种方法有助于降低错误推断的风险,增强研究结果的稳健性和可靠性。
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引用次数: 0
Safety and user perceptions of bike turnouts 安全和用户对自行车出勤率的看法
Pub Date : 2025-08-22 DOI: 10.1016/j.jcmr.2025.100084
Helena Breuer, Hisham Jashami, David Hurwitz
At Mount Diablo State Park in Northern California, a local coalition of cyclists known as the Mount Diablo Cyclists observed an overrepresentation of driver-overtaking-cyclist collisions on curves with limited sight distance. In response, they adapted the design of a truck climbing/passing lane to propose a ‘bike turnout’ which provides cyclists with exclusive right-of-way and a dedicated space for drivers to safely pass cyclists on uphill grades. Since 2016, 67 bike turnouts have been installed in MDSP. In 2022, the Oregon Department of Transportation aimed to study the attitudes of drivers and cyclists to bike turnouts by deploying a statewide online video-based survey. The results from both surveys revealed overwhelming receptivity to implementing bike turnouts in Oregon – 88.3 % of cyclists and 83.6 % of drivers were supportive of the implementation of bike turnouts in Oregon. On average, the perceived potential impacts on safety and user comfort had the greatest degree of effectiveness. Collectively, these findings indicate the viability and potential for bike turnouts in Oregon.
在北加州的迪亚波罗山州立公园(Mount Diablo State Park),当地一个名为“迪亚波罗山骑行者联盟”(Mount Diablo cyclists)的骑行者联盟发现,在视线有限的弯道上,司机超车事故的发生率过高。作为回应,他们调整了卡车爬坡/超车车道的设计,提出了一个“自行车道口”,为骑自行车的人提供了专属的通行权,并为司机提供了一个专门的空间,让他们在上坡路段安全地超过骑自行车的人。自2016年以来,MDSP已经安装了67个自行车轮。2022年,俄勒冈州交通部(Oregon Department of Transportation)打算通过在全州范围内部署一项基于视频的在线调查,研究司机和骑自行车的人对自行车投票率的态度。两项调查的结果都显示,俄勒冈州对实施自行车投票率的接受度极高——88.3% %的骑自行车者和83.6% %的司机支持在俄勒冈州实施自行车投票率。平均而言,感知到的对安全和用户舒适度的潜在影响具有最大程度的有效性。总的来说,这些发现表明了俄勒冈州自行车投票率的可行性和潜力。
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引用次数: 0
How to create a sustainable growth in bicycle traffic? The case of Paris 如何实现自行车交通的可持续增长?巴黎的案例
Pub Date : 2025-08-14 DOI: 10.1016/j.jcmr.2025.100081
Alexandre Lanvin , Jean Charléty , Guillaume Ferreol , Anatole Homann , Elliot Massey , Alix Vermeulen , Alexandre Chasse
In recent years, cycling has received notable investments in response to the urge to decarbonize the transportation sector, leading to an increase in its modal share in many territories. The present article presents a longitudinal study that evaluates the impact of various public policies on bicycle growth in Paris over the period 2018–2023. Variables of interest can be classified according to five themes: targeted cycling policies, restrictions imposed on motorized vehicles, disruptions on other modes of transport, livability policies, and economic conditions. The methodology is based on dependence-aware sensitivity analysis techniques to assess the separate contributions of each of these variables on bicycle traffic, aggregated at the city scale, and extracted from ground counter data. In order to be exhaustive, variations due to weather and calendar dynamics are also controlled for. Results indicate that local authorities should primarily focus on the development of bicycle infrastructure, including bicycle lanes, parking slots, and effective bicycle-sharing systems. While these measures are instrumental, sustainable growth relies on the implementation of a diverse range of policies. Bicycle usage can be further expanded by making it more attractive, specifically through the creation of pedestrian zones and green spaces, or the promotion of e-bikes. Additionally, cycling tends to increase as car usage becomes more difficult, although this finding calls for equity considerations.
近年来,为了应对交通部门脱碳的迫切需求,自行车得到了显著的投资,导致其在许多地区的模式份额增加。本文提出了一项纵向研究,评估了2018-2023年期间各种公共政策对巴黎自行车增长的影响。感兴趣的变量可以根据五个主题进行分类:有针对性的自行车政策、对机动车辆的限制、对其他交通方式的干扰、宜居政策和经济状况。该方法基于依赖感知敏感性分析技术,评估每个变量对自行车交通的单独贡献,以城市规模汇总,并从地面计数器数据中提取。为了更加详尽,由于天气和日历动态的变化也被控制。结果表明,地方当局应主要关注自行车基础设施的发展,包括自行车道、停车位和有效的自行车共享系统。虽然这些措施是有用的,但可持续增长依赖于实施各种各样的政策。自行车的使用可以通过使其更具吸引力来进一步扩大,特别是通过创建步行区和绿地,或推广电动自行车。此外,随着汽车的使用变得更加困难,骑自行车的人往往会增加,尽管这一发现需要公平的考虑。
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引用次数: 0
What proportions of different transport modes do e-scooters replace? A meta-analysis 电动滑板车在不同的交通方式中所占的比例是多少?一个荟萃分析
Pub Date : 2025-08-06 DOI: 10.1016/j.jcmr.2025.100082
Nils Fearnley, Knut Veisten
This paper presents a meta-analysis of stand-up e-scooters’ mode replacement, based on outcomes from one hundred studies and dataset collections. The material includes scientific publications and grey literature from Europe, North America and Oceania. We aggregate the various replaced transport modes into three groups: private motorized vehicles, public transport and active transport. The mode replacement outcomes are survey-based, primarily directed towards e-scooter users. The mode replacement question is either about what mode would have been used on the last trip if the e-scooter were not available or about general changes in trip frequency of other modes after starting using e-scooter. Site-specific characteristics are added to the characteristics of the surveys. Meta-regressions show that the proportions of replaced private motorized vehicles and public transport are primarily associated with the proportions of these modes in the cities’ transport/commuting at the outset. Active transport represents the largest proportion of modes replaced by the e-scooter, but with less explained variation with respect to site-specific characteristics. We derive quality-corrected meta-analytic estimates of e-scooter mode replacement proportions from a subset of the meta-data.
本文基于100项研究和数据集的结果,对站立式电动滑板车的模式替换进行了荟萃分析。这些材料包括来自欧洲、北美和大洋洲的科学出版物和灰色文献。我们将各种被取代的交通方式分为三类:私人机动车辆、公共交通和主动交通。模式替换结果是基于调查的,主要针对电动滑板车用户。模式替换问题是关于如果没有电动滑板车,最后一次出行会使用哪种模式,或者是关于开始使用电动滑板车后其他模式的出行频率的一般变化。特定地点的特征被添加到调查的特征中。元回归表明,被取代的私人机动车辆和公共交通的比例首先与这些模式在城市交通/通勤中的比例有关。主动交通代表了电动滑板车所取代的最大比例的模式,但相对于特定地点的特征,解释较少的变化。我们从元数据的子集中推导出电动滑板车模式替换比例的质量校正元分析估计。
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Journal of Cycling and Micromobility Research
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