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Towards sustainable neighbourhoods? Tensions and heterogeneous transport priorities among suburban residents 实现可持续街区?郊区居民之间的紧张关系和不同的交通优先事项
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-22 DOI: 10.1016/j.trd.2024.104514
Ignacio Tiznado-Aitken , Zehui Yin , Steven Farber
A major challenge in North America’s car-centric suburbs is developing sustainable transportation strategies that align with residents’ diverse needs and preferences. Using a survey of 1,850 residents in Scarborough, an eastern suburb of Toronto, we used descriptive statistics and an exploded logit model to identify which environmental factors, sociodemographic characteristics, travel behaviors, political values, mobility options and transport barriers, and aspirations influence residents’ transport priorities in terms of space and investment.
Overall, transit investments are considered the top priority, followed by walking, driving, and cycling, with clear neighbourhood-specific variations. Newcomers, older adults, and racialized groups prefer sustainable transport options, while women, white and right-wing individuals prioritize car investment. Moreover, transport priorities are closely linked to people’s lifestyles and neighborhood aspirations, as reflected in the destinations they want near their homes. These findings enhance our understanding of transportation preferences and offer valuable insights for developing effective, context-specific sustainable transportation strategies.
在北美以汽车为中心的郊区,一项重大挑战是制定符合居民不同需求和偏好的可持续交通战略。通过对多伦多东郊士嘉堡 1850 名居民的调查,我们使用了描述性统计和爆炸对数模型,以确定哪些环境因素、社会人口特征、出行行为、政治价值观、流动性选择和交通障碍以及愿望会影响居民在空间和投资方面的交通优先权。新移民、老年人和种族群体更喜欢可持续的交通方式,而女性、白人和右翼人士则优先考虑汽车投资。此外,交通出行的优先级与人们的生活方式和邻里愿望密切相关,这体现在他们希望家附近有哪些目的地。这些发现加深了我们对交通偏好的理解,为制定有效的、针对具体情况的可持续交通战略提供了宝贵的见解。
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引用次数: 0
Replacing diesel buses with electric buses reduced residential low frequency noise 用电动巴士取代柴油巴士,减少了住宅低频噪音
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-19 DOI: 10.1016/j.trd.2024.104516
Dag Glebe , Juan Parra , Kerstin Persson Waye
Low frequency noise (20 - 200 Hz) from combustion engines typically dominates the indoor sound environments and is a source for annoyance and sleep disturbance. This study investigated the impact on low frequency noise when diesel operated buses were replaced by electric buses along a bus line in Gothenburg, Sweden. Noise measurements were performed indoors and outdoors for a selection of apartments directly exposed to bus traffic as well as for reference apartments, before and after the intervention. In addition, noise levels were calculated. The results show a significant reduction of the indoor low frequency noise in the range 40 - 80 Hz in the apartments directly exposed to passing buses, both during bus passages (on average 10 dB), and in one-hour measurements (on average 5 dB). The results further show that A-weighted values fail to accurately represent the reduction in noise achieved by the intervention.
内燃机产生的低频噪声(20 - 200 赫兹)通常在室内声环境中占主导地位,是造成烦扰和睡眠障碍的原因之一。本研究调查了瑞典哥德堡一条公交线路上的柴油公交车被电动公交车取代后对低频噪声的影响。在干预之前和之后,对一些直接暴露于公交车交通的公寓以及参考公寓进行了室内和室外噪声测量。此外,还计算了噪音水平。结果表明,在直接暴露于过往公交车的公寓中,40 - 80 Hz 范围内的室内低频噪音明显降低,无论是在公交车经过时(平均降低 10 分贝),还是在一小时的测量中(平均降低 5 分贝)。结果进一步表明,A 加权值不能准确反映干预措施所取得的降噪效果。
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引用次数: 0
Environmental awareness and transportation choices: A case study in Valencia, Spain 环境意识与交通选择:西班牙巴伦西亚案例研究
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-16 DOI: 10.1016/j.trd.2024.104487
Bárbara Vázquez-Paja , María Feo-Valero , Salvador del Saz-Salazar
This research examines the role of environmental awareness and pro-environmental actions on transport mode choice among university students in Valencia, Spain. Based on data obtained through 524 face-to-face interviews, a hybrid discrete choice model was developed to identify the main determinants and the most effective policy measures to achieve sustainable transportation.
Our findings highlight a disassociation between environmental awareness and actual pro-environmental actions. While the latent variable of environmental awareness has no significant effect, pro-environmental actions do positively affect the probability of using sustainable modes.
In terms of policy recommendations, the most effective measures to reduce car dependency would be those affecting transit time, such as reducing parking space in campus surroundings or facilitating transfers in the case of public transportation. Finally, policies aimed at increasing sustainable transportation should not only focus on raising awareness but also on promoting involvement in non-transport-related environmental actions.
本研究探讨了环境意识和环保行动对西班牙巴伦西亚大学生交通方式选择的影响。根据通过 524 次面对面访谈获得的数据,我们建立了一个混合离散选择模型,以确定实现可持续交通的主要决定因素和最有效的政策措施。就政策建议而言,减少对汽车依赖的最有效措施是那些影响交通时间的措施,如减少校园周边的停车空间或为公共交通换乘提供便利。最后,旨在增加可持续交通的政策不仅应注重提高人们的意识,还应注重促进人们参与与交通无关的环保行动。
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引用次数: 0
Decoupling transport-CO2 emissions: Mexico, Spain and The USA: A trend analysis 运输与二氧化碳排放脱钩:墨西哥、西班牙和美国:趋势分析
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-15 DOI: 10.1016/j.trd.2024.104510
Aaron Percastre Gómez , David Bonilla , David Banister
Existing methodologies to measure (de)coupling among economic activity, surface transport (road and rail), and CO2 emissions have not captured the complexity of decoupling. This study aims to contribute to the understanding of (de)coupling. Three groups of variables were formed (using 17 variables). By relating each variable to the others through a ratio, an indicator is obtained that corresponds to a coupling-decoupling category. In total, 36 indicators (by country) were analysed for the three countries. The results reveal that transport volume changes proportionately more than economic activity (materialization). Conversely, CO2 emissions change proportionately less than do economic activity and surface transport volume (decarbonization), although Mexico requires greater efforts. Additionally, decoupling is tangible at aggregated levels, while coupling is evident at disaggregated levels. Finally, the combination of these features contributes to the formulation of policies for achieving sustainable transport. One limitation of this study is the exclusion of air and maritime transport.
衡量经济活动、地面运输(公路和铁路)和二氧化碳排放之间(脱)耦合的现有方法并未捕捉到脱耦的复杂性。本研究旨在促进对(脱)耦合的理解。研究使用 17 个变量组成了三组变量。通过一个比率将每个变量与其他变量联系起来,得到一个与耦合-脱钩类别相对应的指标。总共分析了三个国家的 36 个指标(按国家分列)。结果显示,运输量的变化比例高于经济活动(具体化)。相反,二氧化碳排放量的变化在比例上小于经济活动和地面运输量的变化(脱碳化),尽管墨西哥需要付出更大的努力。此外,脱钩在总体水平上是明显的,而耦合在分类水平上是明显的。最后,这些特征的结合有助于制定实现可持续交通的政策。本研究的一个局限性是未包括航空和海运。
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引用次数: 0
Unraveling influencing factors of public charging station utilization 揭示公共充电站使用的影响因素
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-15 DOI: 10.1016/j.trd.2024.104506
Mushu Zhao , Dawei Wang , Weifeng Li , Jianzheng Liu
Accelerating EV adoption is crucial in reducing carbon emissions. To support EV penetration and minimize waste, we analyzed real-world charging status big data in a high-density city heavily reliant on public charging infrastructure. Using a two-part spatial lag of X model, we investigated the impact of charging station attributes and the surrounding built environment on the utilization rates, defined as the ratio of occupied (fast/slow) charging piles to the total available (fast/slow) piles at each station. Our findings reveal that fast charging stations located outdoors, sheltered, and near major roads attract more users, while these factors do not significantly affect the slow utilization rate. Utilization rates are higher for fast charging stations surrounded by a diverse land use mix, while the opposite is observed for slow charging stations. These findings provide valuable insights for the effective operation of charging infrastructure, furthering the development of the new-energy market and sustainable transportation.
加快电动汽车的普及对减少碳排放至关重要。为了支持电动汽车的普及并最大限度地减少浪费,我们在一个严重依赖公共充电基础设施的高密度城市分析了真实世界的充电状态大数据。我们使用一个由两部分组成的 X 空间滞后模型,研究了充电站属性和周围建筑环境对利用率的影响,利用率定义为每个充电站被占用(快/慢)充电桩与总可用(快/慢)充电桩的比率。我们的研究结果表明,位于室外、有遮挡和靠近主干道的快速充电站能吸引更多用户,而这些因素对慢速充电站的利用率影响不大。快速充电站周围的土地利用组合多样化,因此利用率更高,而慢速充电站的情况恰恰相反。这些发现为充电基础设施的有效运营提供了宝贵的启示,促进了新能源市场和可持续交通的发展。
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引用次数: 0
Impacts of new metro lines on the activity space of older people 新地铁线对老年人活动空间的影响
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-15 DOI: 10.1016/j.trd.2024.104505
Mi Diao , Keyu Lin , Zheng Chang
With declining physical health, older people face increasing travel difficulties and shrinking activity spaces, negatively impacting their well-being and raising significant equity concerns. Metro offers a promising solution to enhance the mobility of older people and expand their activity spaces. This study assesses the causal impact of new metro lines on older people’s activity spaces, using the opening of Shanghai Metro Line 15 as a natural experiment. We track activity spaces of different age groups at a grid cell level over time using a large-scale mobile phone dataset and employ difference-in-differences models to evaluate Line 15′s impact. The results show that Line 15 has expanded the activity spaces for all age groups, with older adults benefiting more than the younger groups, thus enhancing transport equality. Our findings provide evidence highlighting the significant role of metro systems in enhancing older people’s mobility, offering valuable insights for policymakers in planning age-friendly cities.
随着身体健康状况的下降,老年人面临着越来越多的出行困难和越来越小的活动空间,这对他们的福祉产生了负面影响,并引发了重大的公平问题。地铁为提高老年人的流动性和扩大他们的活动空间提供了一个前景广阔的解决方案。本研究以上海地铁 15 号线的开通为自然实验,评估新地铁线对老年人活动空间的因果影响。我们利用大规模手机数据集,在网格单元层面跟踪不同年龄段人群的活动空间,并采用差异模型评估 15 号线的影响。结果表明,15 号线扩大了各年龄段人群的活动空间,老年人比年轻人受益更多,从而促进了交通平等。我们的研究结果提供了证据,凸显了地铁系统在提高老年人流动性方面的重要作用,为政策制定者规划老年友好型城市提供了宝贵的见解。
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引用次数: 0
Modeling energy consumption for battery electric vehicles based on in-use vehicle trajectories 基于在用车辆轨迹的电池电动汽车能耗建模
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-13 DOI: 10.1016/j.trd.2024.104509
Zhiqiang Zhai , Leqi Zhang , Guohua Song , Xiao Li , Lei Yu
The development of battery electric vehicles (BEVs) raises a demand to develop a tool to estimate and predict their energy consumption accurately and efficiently. This study proposes a model to estimate the energy consumption of BEVs based on the trajectories of in-use vehicles, including both BEVs and internal combustion engine vehicles (ICEVs). This model consists of three modules: vehicle specific power (VSP) distributions, energy consumption rates, travel time and mileages. The estimation results are validated and compared with those derived from driving cycles and instantaneous speeds. It is found that the VSP distributions can capture the variation of the energy consumption relating to average speeds, and the results are unbiased with average errors less than 1.9%, comparing with instantaneous speeds. It is practicable to employ the trajectories of ICEVs to model the activity of BEVs for energy consumption estimates, and the average errors are less than 2.7%.
电池电动汽车(BEV)的发展要求开发一种工具来准确有效地估算和预测其能耗。本研究提出了一种基于在用车辆轨迹(包括 BEV 和内燃机车辆(ICEV))的 BEV 能源消耗估算模型。该模型由三个模块组成:车辆比功率(VSP)分布、能耗率、行驶时间和里程。估算结果经过验证,并与驾驶周期和瞬时速度得出的结果进行了比较。结果发现,VSP 分布可以捕捉到与平均速度相关的能源消耗变化,而且结果无偏,与瞬时速度相比,平均误差小于 1.9%。利用内燃机车的轨迹来模拟 BEV 的活动以估计能耗是可行的,平均误差小于 2.7%。
{"title":"Modeling energy consumption for battery electric vehicles based on in-use vehicle trajectories","authors":"Zhiqiang Zhai ,&nbsp;Leqi Zhang ,&nbsp;Guohua Song ,&nbsp;Xiao Li ,&nbsp;Lei Yu","doi":"10.1016/j.trd.2024.104509","DOIUrl":"10.1016/j.trd.2024.104509","url":null,"abstract":"<div><div>The development of battery electric vehicles (BEVs) raises a demand to develop a tool to estimate and predict their energy consumption accurately and efficiently. This study proposes a model to estimate the energy consumption of BEVs based on the trajectories of in-use vehicles, including both BEVs and internal combustion engine vehicles (ICEVs). This model consists of three modules: vehicle specific power (VSP) distributions, energy consumption rates, travel time and mileages. The estimation results are validated and compared with those derived from driving cycles and instantaneous speeds. It is found that the VSP distributions can capture the variation of the energy consumption relating to average speeds, and the results are unbiased with average errors less than 1.9%, comparing with instantaneous speeds. It is practicable to employ the trajectories of ICEVs to model the activity of BEVs for energy consumption estimates, and the average errors are less than 2.7%.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104509"},"PeriodicalIF":7.3,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine learning-driven CO2 emission forecasting for light-duty vehicles in China 机器学习驱动的中国轻型汽车二氧化碳排放预测
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-12 DOI: 10.1016/j.trd.2024.104502
Guiliang Zhou , Lina Mao , Tianwen Bao , Feipeng Zhuang
The research examines the carbon dioxide (CO2) emissions produced by light-duty vehicles (LDVs) utilizing a thorough dataset of 7,384 cars gathered by the Chinese government between 2018 and 2022. The research aims to attain a 40–45% decrease in CO2 emissions by 2030 by the application of advanced machine learning algorithms, specifically Catboost. The results reveal that Catboost, recognized for its data efficiency and capability to manage categorical information, surpasses other models in predictive accuracy, including support vector regression and ridge regression. It is particularly notable for its capability to estimate emissions using just a limited set of vehicle attributes. The research offers crucial insights into air pollution, providing vital suggestions for car owners and manufacturers to reduce their environmental effects. Future investigations should prioritize improving the precision of the model and broadening the datasets to enhance the quality of forecasts.
该研究利用中国政府在 2018 年至 2022 年间收集的 7384 辆汽车的完整数据集,对轻型汽车(LDV)产生的二氧化碳(CO2)排放量进行了研究。研究旨在通过应用先进的机器学习算法,特别是 Catboost,到 2030 年实现二氧化碳排放量减少 40-45%。研究结果表明,Catboost 因其数据效率和管理分类信息的能力而得到认可,其预测准确性超过了其他模型,包括支持向量回归和脊回归。尤其值得注意的是,它只需使用有限的车辆属性集就能估算排放量。这项研究提供了对空气污染的重要见解,为车主和制造商减少对环境的影响提供了重要建议。未来的研究应优先考虑提高模型的精度和扩大数据集,以提高预测质量。
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引用次数: 0
Assessing the impact of loading-unloading zones in emerging markets: Evidence from Mexico 评估装卸区对新兴市场的影响:墨西哥的证据
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-12 DOI: 10.1016/j.trd.2024.104486
Camilo A. Mora-Quiñones , Jan C. Fransoo , Josué C. Velázquez-Martínez , Leopoldo Eduardo Cárdenas-Barrón , Rafael Escamilla
We investigate the impact of dedicated loading–unloading zones (LUZs) in emerging markets, focusing on their effects on air quality and noise pollution. We conduct a field experiment in downtown area of Zapopan, Mexico. We use a quasi-experimental difference-in-difference approach to analyze changes in air quality and noise pollution before and after implementing the dedicated LUZs. The results indicate a significant reduction of up to 3.55% in CO2 levels in the mornings and a 14% decrease in noise following the establishment of LUZs. Moreover, insights into the composition of companies involved in last-mile distributions reveals a predominant reliance on micro and small businesses, often utilizing personal vehicles for cargo transport, with a significant portion of freight vehicles being over a decade old. We contribute to the existing literature by providing evidence of the impact of LUZs on mitigating negative externalities associated with last-mile operations, particularly in a developing city.
我们研究了装卸区(LUZ)对新兴市场的影响,重点关注其对空气质量和噪声污染的影响。我们在墨西哥萨波潘市中心进行了实地实验。我们采用准实验差分法来分析专用装卸区实施前后空气质量和噪声污染的变化。结果表明,在设立 LUZ 后,早晨的二氧化碳含量大幅降低了 3.55%,噪音降低了 14%。此外,对参与 "最后一英里 "配送的公司构成的深入研究显示,这些公司主要依赖微型和小型企业,通常使用个人车辆进行货物运输,其中相当一部分货运车辆的车龄超过十年。我们为现有文献做出了贡献,提供了路易区对减轻与最后一英里运营相关的负外部性的影响的证据,尤其是在发展中城市。
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引用次数: 0
Using natural driving experiments and Markov chains to develop realistic driving cycles 利用自然驾驶实验和马尔可夫链开发逼真的驾驶循环
IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES Pub Date : 2024-11-09 DOI: 10.1016/j.trd.2024.104507
J.D.K. Bishop , C.J. Axon
The main purpose of driving cycles is to estimate accurately on-road fuel use and the associated emissions of greenhouse gases and other air pollutants by vehicles. Conventionally, driving cycles are developed using micro-trips, Markov chains, or hybrid approaches, with accuracy determined by comparing metrics of the candidate cycles with the observed data. Through a natural driving experiment, we suggest traffic and road topology have a dominant role in influencing individual driving styles, more so than driver age or gender, or vehicle characteristics. Using experimental data and a Markov chain approach, we make three contributions to driving cycle development. First, we identify a reduced set of 26 metrics which materially influence fuel economy. Second, we assess the trade-offs in accuracy between reproducing vehicle dynamics and fuel economy. Finally, we identify the impact of natural driving variability on the accuracy of candidate cycles.
驾驶循环的主要目的是准确估算车辆的路面燃料使用量以及相关的温室气体和其他空气污染物排放量。传统上,驾驶循环是利用微行程、马尔可夫链或混合方法开发的,通过比较候选循环的指标和观测数据来确定其准确性。通过自然驾驶实验,我们发现交通和道路拓扑对个人驾驶风格的影响比驾驶员年龄、性别或车辆特性更大。利用实验数据和马尔可夫链方法,我们为驾驶周期的开发做出了三项贡献。首先,我们确定了对燃油经济性有重大影响的 26 项指标。其次,我们评估了再现车辆动态和燃油经济性之间的准确性权衡。最后,我们确定了自然驾驶变化对候选循环准确性的影响。
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引用次数: 0
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Transportation Research Part D-transport and Environment
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