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The CanBikeCO full pilot: Long-term results and analysis from an E-bike program in Colorado, USA CanBikeCO全面试点:美国科罗拉多州电动自行车项目的长期结果和分析
IF 3.9 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-07-01 DOI: 10.1080/15568318.2025.2475149
Cemal Akcicek , Zack Aemmer , Abigail Wheelis , K. Shankari , Andrew Duvall
Personal micromobility devices like bicycles, e-bikes, and scooters are low- or zero-energy alternatives to single-occupancy vehicles. However, a lack of data has led to a dearth of data-driven research on personally owned e-bike usage. We present longitudinal findings from the CanBikeCO program, focused on e-bike adoption and use across demographics, trip characteristics, and geographies in the state of Colorado. CanBikeCO recorded travel survey data from low-income individuals provided with personal e-bikes by the Colorado Energy Office in six communities across Colorado from July 2021 to December 2022. The data were collected using a custom instance of the National Renewable Energy Laboratory OpenPATH platform, which combines passive data collection with semantic information such as trip mode and purpose labels. To our knowledge, there are no prior travel survey data on personally owned e-bikes with this range and scope. Insights from this unique dataset include: (i) work trips were 17% more likely than average trips to be taken on an e-bike, (ii) e-bikes were most often reported to replace cars (34% of e-bike trips) and other personal micromobility devices (22%), and (iii) participants favored walking for trips less than 1 mile, e-bikes for trips of 1–3 miles, and e-bikes, cars, or shared rides for trips of 3–20 miles. The data used to generate these results have been made available in the Transportation Secure Data Center. We find e-bike use is appealing across age groups and may be related to characteristics of land use, urban form, occupation, income, and car ownership. We conclude for this population that the energy demand added by e-bike use (induced demand and replacing non-motorized modes) is outweighed by the reduction in energy demand from replacement of single-occupancy vehicle trips with e-bike trips. Our findings suggest considerable potential for energy savings from personal e-bike ownership.
个人微型交通工具,如自行车、电动自行车和踏板车,是单人车辆的低能耗或零能耗替代品。然而,数据的缺乏导致了对个人拥有的电动自行车使用情况的数据驱动研究的缺乏。我们展示了CanBikeCO项目的纵向调查结果,重点关注了科罗拉多州的人口统计、出行特征和地理位置对电动自行车的采用和使用。从2021年7月到2022年12月,CanBikeCO记录了科罗拉多州能源办公室在科罗拉多州六个社区提供的个人电动自行车的低收入个人的旅行调查数据。数据是使用国家可再生能源实验室OpenPATH平台的自定义实例收集的,该平台将被动数据收集与行程模式和目的标签等语义信息相结合。据我们所知,在此之前还没有针对个人拥有的电动自行车的出行调查数据。从这个独特的数据集得出的见解包括:(i)工作旅行比骑电动自行车的平均旅行多17%;(ii)据报道,电动自行车最常取代汽车(34%的电动自行车旅行)和其他个人微移动设备(22%);(iii)参与者喜欢在1英里以内的旅行中步行,在1 - 3英里的旅行中骑电动自行车,在3-20英里的旅行中骑电动自行车、汽车或共享交通工具。用于生成这些结果的数据已在运输安全数据中心提供。我们发现电动自行车的使用在各个年龄段都具有吸引力,并且可能与土地使用、城市形态、职业、收入和汽车所有权的特征有关。对于这一人群,我们得出的结论是,使用电动自行车所增加的能源需求(诱导需求和取代非机动模式)被用电动自行车取代单人车辆出行所减少的能源需求所抵消。我们的研究结果表明,拥有个人电动自行车可以节省大量能源。
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引用次数: 0
Task bundling effect in electric scooter charging platform 电动滑板车充电平台的任务捆绑效应
IF 3.9 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-06-30 DOI: 10.1080/15568318.2025.2525974
Minjeong Kim , Bogyeom Lee , Ilkyeong Moon
This study proposes two innovative optimization-based bundling algorithms to offer attractive options to the decentralized workforce in the electric scooter-sharing platform. The applicability of bundles is raised in enticing workers to a side hustle system of collecting low-battery scooters for a reward per task. The proposed bundling strategy considers the domain-specific characteristics of the scooter charging industry, such as autonomous task selection of workers, depot-oriented workers, a bundle decision phase before the worker selection phase, and limited information on workers’ task preferences. Based on assumptions about worker behavior, the value maximizing bundling (VMB) model aims to generate bundles with a higher reward-to-distance ratio, while the probability maximizing bundling (PMB) model additionally considers the distance required to reach the bundle centroid from the worker depot. The effectiveness of these bundling strategies is evaluated through a series of simulation experiments. Findings suggest that bundles significantly improved scooter collection rates compared to non-bundling scenarios. Additionally, this strategy enhances workers’ profit margins. Scenario-based simulations further demonstrate conditions that amplified the impact of bundling on the overall worker capacity and scooter distribution patterns. Given the superior performance of the PMB model with optimal parameters and the consistent stability of the VMB model, the study offers actionable insights for managers considering the implementation of bundling strategies.
本研究提出了两种创新的基于优化的捆绑算法,为电动滑板车共享平台中分散的劳动力提供有吸引力的选择。捆绑包的适用性在于,它吸引员工加入一个副业系统,即每完成一项任务就收集低电量摩托车作为奖励。提出的捆绑策略考虑了滑板车充电行业的特定领域特征,如工人的自主任务选择,工人的押金导向,工人选择阶段之前的捆绑决策阶段,以及工人的任务偏好信息有限。基于对工人行为的假设,价值最大化捆绑(VMB)模型的目标是生成具有更高距离奖励比的捆绑,而概率最大化捆绑(PMB)模型还考虑了从工人仓库到达捆绑质心所需的距离。通过一系列的仿真实验,对这些捆绑策略的有效性进行了评价。研究结果表明,与非捆绑方案相比,捆绑方案显著提高了滑板车收集率。此外,这种策略提高了工人的利润率。基于场景的模拟进一步展示了捆绑销售对整体工人能力和滑板车分布模式的影响。考虑到参数最优的PMB模型的优越性能和VMB模型的一致性稳定性,本研究为考虑实施捆绑策略的管理者提供了可操作的见解。
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引用次数: 0
A regional cost-benefit analysis of replacing motorized modes by a shared automated electric vehicle service 以共享自动电动车服务取代机动模式的区域成本效益分析
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-06-03 DOI: 10.1080/15568318.2025.2508843
Paulo Fernandes , Gonçalo Gonçalves Duarte Santos , Eloisa Macedo , Mariana Vilaça , Gonçalo Homem de Almeida Correia , Margarida C. Coelho
Shared automated electric vehicles (SAEVs) have the potential to transform regional transportation, particularly in low-density areas where accessibility and resource optimization are challenging. However, their integrated economic impact on operators, users, environment, and society have been little explored. This paper presents a cost-benefit analysis methodology, incorporating a flow-based integer programming model, to assess the viability of SAEV services in a regional interurban context. The case study is based on mobility data from the Aveiro and Coimbra regions (Portugal). We evaluate the replacement of all motorized intermunicipal trips with various SAEV configurations, including automated cars (with and without pooling), automated minibuses, and a mixed fleet (cars and minibuses). Results indicate that SAEV providers can achieve profitability with fares ranging from €0.08 to €0.36 per kilometer. Even at these rates, SAEV services generate economic benefits for users, particularly pooled car-based services, as private car expenses dominate current mobility costs. Additionally, all SAEV configurations contribute to cost reductions related to air pollution, noise, global warming potential, and road accidents, with pooled services offering the greatest savings. A series of SAEV transition scenarios using a fleet of pooled cars also demonstrated benefits for all stakeholders, albeit lower than those from fully replacing motorized trips. A second sensitivity analysis confirms that reducing vehicle acquisition costs is key to lowering fares and increasing user savings. This paper represents one of the first evaluations of large-scale SAEV services for intermunicipal trips with significant distances between urban centers, contributing insights into smart and sustainable transportation solutions for such contexts.
共享自动驾驶电动汽车(saev)有可能改变区域交通,特别是在可达性和资源优化具有挑战性的低密度地区。然而,它们对运营商、用户、环境和社会的综合经济影响却很少被探索。本文提出了一种成本效益分析方法,结合基于流量的整数规划模型,以评估区域城市间环境下SAEV服务的可行性。该案例研究基于阿威罗和科英布拉地区(葡萄牙)的流动性数据。我们评估了用各种SAEV配置替代所有机动城际旅行的情况,包括自动驾驶汽车(有和没有拼车)、自动驾驶小巴和混合车队(汽车和小巴)。结果表明,SAEV供应商可以通过每公里0.08欧元至0.36欧元的票价实现盈利。即使在这样的速度下,SAEV服务也会为用户带来经济效益,尤其是拼车服务,因为私家车费用在当前的出行成本中占主导地位。此外,所有SAEV配置都有助于降低与空气污染、噪音、全球变暖潜势和道路交通事故相关的成本,而汇集服务可以最大限度地节省成本。使用拼车车队的一系列SAEV过渡方案也显示了对所有利益相关者的好处,尽管低于完全取代机动出行的好处。第二项敏感性分析证实,降低车辆购置成本是降低票价和增加用户节省的关键。本文首次对大型自动驾驶汽车服务在城市中心之间距离较大的城际旅行中的应用进行了评估,为这种情况下的智能和可持续交通解决方案提供了见解。
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引用次数: 0
A review on the estimation of vulnerable road user behavior for automated vehicles 自动驾驶车辆道路使用者脆弱行为估计研究进展
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-06-03 DOI: 10.1080/15568318.2025.2510413
Jinat Ara , Mohammad Badhruddouza Khan , Shamsunnahar Yasmin , Hanif Bhuiyan
In recent years, the development of automated support systems for vehicles, focusing on enhancing digital traffic facilities through new methods and techniques has gained immense popularity. However, in real-life scenarios, the developed automated support systems are not completely compatible in terms of ensuring safety, effectiveness, and reliability. A promising number of research have emphasized the importance of integrating vulnerable road users’ (VRUs) behavioral aspects into automated vehicle systems which might help to improve safety, effectiveness, reliability, and community acceptance. Addressing this research focus, this paper presents a comprehensive review focusing on VRU behavior analysis for automated vehicles, specifically examining studies related to VRUs’ behavior aspects. We reviewed 73 studies addressing one research question: What aspects of automated vehicles need attention to improve their safety for VRUs? This review highlights and represents the findings focusing on three major groups: (I) VRUs crossing intention prediction, (II) VRUs motion prediction, and (III) VRUs path/trajectory prediction, concentrating on ten key aspects: (i) Improvement of VRUs context understanding, (ii) Early phase detection and prediction, (iii) Computational/Processing time, (iv) Consistent/Continuous prediction, (v) Interactive navigation, (vi) Semanticity, (vii) Low-scale dataset, (viii) Long-term prediction, (ix) Real-time prediction, and (x) Explainability improvement. Besides, it also addresses several challenges, such as difficulties in observing multiple scenarios, understanding contextual information, and detecting group behavior, which is crucial for enhancing the reliability and acceptability of automated vehicles in future research. The findings of this review are significant to provide new insights and directions for developing driving support systems for automated vehicles by integrating VRUs behavior.
近年来,车辆自动化支持系统的发展,重点是通过新的方法和技术来增强数字交通设施,得到了广泛的欢迎。然而,在实际应用中,已开发的自动化保障系统在安全性、有效性和可靠性方面并不完全兼容。大量有前景的研究强调了将弱势道路使用者(vru)行为方面整合到自动车辆系统中的重要性,这可能有助于提高安全性、有效性、可靠性和社区接受度。针对这一研究焦点,本文对自动驾驶车辆的VRU行为分析进行了全面的综述,特别是对VRU行为方面的相关研究进行了研究。我们回顾了73项研究,以解决一个研究问题:自动驾驶汽车的哪些方面需要注意,以提高虚拟驾驶车辆的安全性?本综述重点介绍了三个主要研究领域的研究成果:(I) vru穿越意图预测,(II) vru运动预测,(III) vru路径/轨迹预测,主要集中在十个关键方面:(i) vru上下文理解的改进,(ii)早期阶段检测和预测,(iii)计算/处理时间,(iv)一致/连续预测,(v)交互式导航,(vi)语义性,(vii)低尺度数据集,(viii)长期预测,(ix)实时预测,(x)可解释性改进。此外,它还解决了多个场景的观察困难、上下文信息的理解困难、群体行为的检测困难等问题,这对于提高未来自动驾驶汽车的可靠性和可接受性至关重要。本文的研究结果将为自动驾驶车辆驾驶辅助系统的开发提供新的思路和方向。
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引用次数: 0
Impact assessment for bicycle highway on cyclist’s PM2.5 exposure: Evidence from Beijing 自行车公路对骑行者PM2.5暴露的影响评价:来自北京的证据
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-06-03 DOI: 10.1080/15568318.2025.2504531
Yuxin Wang , Yizheng Wu , Lewen Wang , Yun Jiang , Guohua Song , Lei Yu
Elevated bicycle highways are increasingly piloted to enhance the efficiency and safety of cyclists, yet their impact on air pollution exposures remains underexamined. This study assessed the effectiveness of bicycle highways in reducing exposure to particulate matters (PM2.5) in Beijing, China. Real-world measurements were conducted along three representative cycling routes connecting same working and residential areas, that is, route bicycle highways (RB), route arterials (RA), and route collectors (RC). Compared to RA and RC, RB are slightly longer (3.86% and 7.71%, respectively) but offer shorter travel times (1.28% and 4.79%, respectively). Notably, vertical-separated paths on RB significantly reduce concentration by up to 23.08% compared to vegetation-protected lanes. Although higher concentrations are observed near construction sites and transportation facilities, the absence of intersections on RB reduces exposure by 5.47% and 6.75% compared to RA and RC, respectively. A notable disparity between exposure hotspots and heavily polluted areas highlights the complex interactions of external factors, such as meteorological conditions, traffic patterns, and built environments. Linear and non-linear regression analyses (via OLS and XGBoost–SHAP) elaborate the significant contributions of meteorological conditions, traffic patterns, road design, and land use in shaping on-road exposures. These findings suggest the urgent need for an exposure-focused evaluation approach in bicycle infrastructure planning. By considering the complicated effects caused by these external factors, policymakers can develop targeted strategies to mitigate exposure risks and promote safer and healthier cycling environments.
为了提高骑车者的效率和安全性,高架自行车公路的试点越来越多,但它们对空气污染的影响仍未得到充分研究。本研究评估了中国北京自行车公路在减少颗粒物(PM2.5)暴露方面的有效性。实际测量是沿着连接相同工作和住宅区的三条代表性自行车路线进行的,即路线自行车公路(RB),路线动脉(RA)和路线收集器(RC)。与RA和RC相比,RB略长(分别为3.86%和7.71%),但行程时间较短(分别为1.28%和4.79%)。与植被保护车道相比,RB上垂直分隔的车道显著降低了浓度,最高可达23.08%。虽然在建筑工地和交通设施附近观察到较高的浓度,但与RA和RC相比,RB上没有十字路口分别减少了5.47%和6.75%的暴露。暴露热点和重污染地区之间的显著差异凸显了气象条件、交通模式和建筑环境等外部因素的复杂相互作用。线性和非线性回归分析(通过OLS和XGBoost-SHAP)详细阐述了气象条件、交通模式、道路设计和土地利用在形成道路暴露方面的重要贡献。这些发现表明,在自行车基础设施规划中迫切需要一种以暴露为重点的评估方法。通过考虑这些外部因素造成的复杂影响,决策者可以制定有针对性的策略来降低暴露风险,促进更安全、更健康的骑行环境。
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引用次数: 0
Energy renewability, economic growth, transportation and climate vulnerabilities: Policy insights 能源可再生、经济增长、交通和气候脆弱性:政策见解
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-06-03 DOI: 10.1080/15568318.2025.2505963
Mushtaque Ahmed Laghari , Ying Wang , Wali Muhammad Khoso
The current study examines the relationships among economic growth (GDP), energy renewability (RE), and climate vulnerability, focusing on GDP based on RE and transportation. System-generalized moments and panel quantile regression analysis were employed considering the methodological prospects. The data was collected from 22 Asian countries from 2008 to 2021. Further, this study segregated its countries into the World Bank income division and analyzed more deeply. For this purpose, the panels are divided into four groups, i.e. 22 Asian (overall group), high-income (HICs), upper-middle (UMICs), and low-middle-income countries (LMICs). This study examines whether the EKC pattern holds for GDP and climate resilience and how RE influences this relationship. The findings indicate that GDP contributes to increased climate vulnerability, whereas the combined effect of GDP and RE reduces climate vulnerability in most countries. When RE is introduced as a moderating factor, the relationship between GDP and climate vulnerabilities shifts from a U-shaped to an inverted U-shaped curve. These findings have significant policy implications for mitigating climate vulnerability and indicate that regulating RE can support sustainable RE and increase climate resilience.
本研究考察了经济增长(GDP)、能源可再生(RE)和气候脆弱性之间的关系,重点关注基于可再生能源和交通运输的GDP。考虑到方法学前景,采用了系统广义矩和面板分位数回归分析。这些数据是在2008年至2021年期间从22个亚洲国家收集的。此外,本研究将其国家划分为世界银行收入部门,并进行了更深入的分析。为此,专家组被分为四组,即22个亚洲国家(总体组)、高收入国家(HICs)、中上收入国家(UMICs)和中低收入国家(LMICs)。本研究考察了EKC模式是否适用于GDP和气候恢复力,以及可再生能源如何影响这种关系。研究结果表明,国内生产总值增加了气候脆弱性,而国内生产总值和可再生能源的综合效应降低了大多数国家的气候脆弱性。当引入可再生能源作为调节因子时,GDP与气候脆弱性之间的关系从u型曲线转变为倒u型曲线。这些发现对减轻气候脆弱性具有重要的政策意义,并表明调节可再生能源可以支持可持续可再生能源并增强气候适应能力。
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引用次数: 0
Bridging gaps between land use and transport planning to facilitate the transition toward sustainable development 弥合土地使用与交通规划之间的差距,促进向可持续发展过渡
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-06-03 DOI: 10.1080/15568318.2025.2507674
Sofia Eckersten , Berit Balfors
This study examines the application of the Integrated Landscape Character Assessment (ILCA) within the Strategic Choice of Measures (SCM) process in land use and transport planning through the lens of the transformative capacity framework. By applying this framework, the study identifies key elements of transformative capacity in the planning process. Notably, ILCA contributes to transformative capacity by fostering a systems perspective that strengthens the understanding of spatial interconnections, multi-functionality, and ecosystem services. This, in turn, supports planners in addressing complex sustainability challenges and enhances their ability to implement integrated and forward-looking planning strategies. Furthermore, the integration of ILCA into the SCM process contributed to transformative capacity by enabling knowledge co-production through inclusive stakeholder engagement. By involving actors from multiple governance levels, NGOs, and private sector representatives in working groups and workshops, the process fostered mutual learning, built shared understanding, and aligned diverse perspectives. This collaborative approach not only strengthened legitimacy but also supported the formulation and justification of measures aligned with sustainability goals, such as promoting cycling and walking infrastructure and implementing nature-based solutions (NBS), thereby enhancing both procedural and substantive dimensions of transformation.
本研究通过转型能力框架的视角,探讨了综合景观特征评估(ILCA)在土地利用和交通规划的策略选择(SCM)过程中的应用。通过应用这一框架,该研究确定了规划过程中变革能力的关键要素。值得注意的是,ILCA通过培养系统视角,加强对空间互联、多功能和生态系统服务的理解,有助于提高变革能力。这反过来又支持规划者应对复杂的可持续性挑战,并提高他们实施综合和前瞻性规划战略的能力。此外,将ILCA整合到供应链管理过程中,通过包容性利益相关者参与实现知识共同生产,从而促进了变革能力。通过让来自多个治理层面的行动者、非政府组织和私营部门代表参加工作组和讲习班,这一进程促进了相互学习,建立了共同理解,并协调了不同的观点。这种合作方式不仅加强了合法性,而且支持制定和论证符合可持续发展目标的措施,如促进自行车和步行基础设施建设,实施基于自然的解决方案(NBS),从而增强了转型的程序和实质性层面。
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引用次数: 0
Equal charging for all: Are there income-based disparities in public charging stations? 人人平等充电:公共充电站是否存在收入差异?
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-06-03 DOI: 10.1080/15568318.2025.2505187
Wei San Loh , Robert B. Noland
We compare charging station accessibility for different income groups in the San Francisco Bay Area. Using a microsimulation model, we estimate charging station accessibility under varying battery range scenarios, assuming different income groups have vehicles with different battery ranges. We conduct the analysis based on charging station availability in each traffic analysis zone in the Bay Area (N = 1442). Contrary to the general notion of unequal access to public charging stations across different income groups, we found that the disparity was minimal. Assuming a full fleet of EVs and the current level of charging infrastructure, the success rate for all income groups is low but similar using 2035 trip-level data. This finding highlights the need to build more charging infrastructure. To achieve a 95% charging success rate, we provide an estimate of the additional charging ports required in the San Francisco Bay Area.
我们比较了旧金山湾区不同收入群体的充电站可达性。假设不同收入群体拥有不同电池续航里程的车辆,采用微观仿真模型对不同电池续航里程下的充电站可达性进行了估计。我们基于Bay Area各交通分析区的充电站可用性进行分析(N = 1442)。与不同收入群体使用公共充电站的机会不平等的一般观念相反,我们发现这种差距很小。假设电动汽车车队齐全,充电基础设施现有水平,所有收入群体的成功率都很低,但根据2035年出行水平的数据,成功率相似。这一发现凸显了建设更多充电基础设施的必要性。为了达到95%的充电成功率,我们提供了旧金山湾区所需的额外充电端口的估计。
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引用次数: 0
Evaluation aspects of active transport system: A review and way forward in the context of developing countries 主动运输系统的评价方面:发展中国家背景下的审查和前进方向
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-05-04 DOI: 10.1080/15568318.2025.2500559
Sakshi Sharma , Rajat Rastogi , Debasis Basu
Active transport, namely walk, bicycle and manual tricycle, are in use for trips of varied lengths in developing countries like India. Considering their importance in social and economic sector, it is essential to have the associated infrastructure in place. Along with that it is necessary to assess the usability and acceptability of the infrastructure periodically. A systematic review of relevant 116 articles highlighted that the available tools are contextual, do not address dynamic changes and the choice of attributes is narrow but focused. Based on the research gaps being identified, this study aims to develop a framework for a comprehensive and generalized evaluation of active transport systems in developing countries. The dimensions like availability of associated infrastructure, utilities, safety concerns, and policy interventions are integrated in the proposed framework which includes the quantitative and qualitative information related to different aspects and dimensions. The framework consists of indices such as Active Mobility Facility Index (AMFI) and the Perceived Service Quality Index (PSQI) which requires primary (user perception surveys) as well as secondary data (road inventory surveys). The proposed Composite Active Sustainability Index (CASI) is expected to serve as a valuable decision-making tool for planners and policymakers and will enable them in prioritizing and implementing relevant infrastructure, and policies related to environmental, social, and economic dimensions.
在印度等发展中国家,人们使用步行、自行车和手动三轮车等主动交通工具进行不同长度的旅行。考虑到它们在社会和经济部门的重要性,有必要建立相关的基础设施。除此之外,还需要定期评估基础设施的可用性和可接受性。对116篇相关文章的系统回顾强调,可用的工具是上下文相关的,不处理动态变化,属性的选择范围狭窄但重点突出。根据正在确定的研究差距,本研究旨在制定一个框架,对发展中国家的主动运输系统进行全面和普遍的评价。相关基础设施的可用性、公用事业、安全问题和政策干预等维度被整合到拟议的框架中,该框架包括与不同方面和维度相关的定量和定性信息。该框架由诸如主动移动设施指数(AMFI)和感知服务质量指数(PSQI)等指数组成,这些指数需要主要(用户感知调查)以及次要数据(道路清单调查)。拟议的综合主动可持续发展指数(CASI)有望成为规划者和决策者的宝贵决策工具,使他们能够优先考虑和实施相关的基础设施,以及与环境、社会和经济层面相关的政策。
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引用次数: 0
Tools for estimating traffic emissions considering spatial scales and mitigation strategies: A systematic review 考虑空间尺度和减缓战略的交通排放估算工具:系统综述
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-05-04 DOI: 10.1080/15568318.2025.2502558
Saewoom Jang , Junseo Park , Gahyeong Yu , Jinuk Hwang
Estimation of road traffic emissions is crucial for achieving sustainable development goals, particularly in urban areas where transportation significantly contributes. This study systematically reviews research utilizing traffic simulation tools and emission models to estimate road traffic emissions at regional, city, and district levels. It aims to offer practitioners and researchers practical guidance on selecting the most appropriate tools and models to predict traffic emissions based on spatial scope and strategic objectives for emissions mitigation. The findings emphasize the importance of aligning emission estimation methods with targeted mitigation strategies and spatial contexts. This review provides a valuable resource by illustrating optimal combinations of tools and models tailored to different spatial scales and policy goals.
估计道路交通排放对于实现可持续发展目标至关重要,特别是在交通运输发挥重要作用的城市地区。本研究系统回顾了利用交通模拟工具和排放模型来估计区域、城市和地区层面道路交通排放的研究。它旨在为从业人员和研究人员提供实用指导,指导他们根据空间范围和减少排放的战略目标选择最适当的工具和模型来预测交通排放。研究结果强调了使排放估算方法与有针对性的减缓战略和空间背景保持一致的重要性。本综述通过说明针对不同空间尺度和政策目标量身定制的工具和模型的最佳组合,提供了宝贵的资源。
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引用次数: 0
期刊
International Journal of Sustainable Transportation
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