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Dynamic model to assess the impacts of government support for electric vehicles on the economy and environment sectors in Indonesia
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2443825
Erma Suryani , M. S. Fadlillah , R. A. Hendrawan , Mudjahidin Mudjahidin , R. J. Pramundito , A. A. Zahra , S. Y. Chou , Anindhita Dewabharata , Z. U. Rizqi , Rafika Rahmawati
This research proposes a comprehensive analysis of the environmental and economic impacts of electric vehicle (EVs) adoption using system dynamics modeling. A system dynamics framework is utilized to integrate various aspects of EVs, economy, environment, and impact of policies on those sectors. Stock and flow diagrams were used to model and predict the impact of government support on electric vehicles based on the existing and future conditions through several proposed strategies. This research mainly contributes to providing causal relationships of variables and parameters influencing the number of EVs and their impact on the economy and environment, modeling and simulation of several sub-systems based on the existing condition, and scenario modeling to predict and improve the number of EV, economic value, and environmentally friendly in the future. This research examines how different policies for electric vehicles (EVs) might affect the numbers of people use them, the pollution caused, and the cost spent. They looked at total emissions, yearly budget, and the number of electric cars and motorcycles. The results show that continuing or increasing government help (scenarios SCN2 & SCN3) for EVs leads to the biggest pollution reduction. Focusing on developing new technologies and industries for EVs (SCN4) shows the biggest short-term pollution reduction. The key takeaway is that long-term support for EVs and technological advancements are essential for success. Finding a balance between the initial costs and the long-term benefits is crucial when designing policies for EVs.
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引用次数: 0
Oil tanker emissions: Measurement, factors, and future scenarios
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2443819
Suleyman Kose
This study measured emissions from 76 oil tankers at Eastern Black Sea petroleum terminals to determine their emission factors. Emissions of CO, CO2, NOX, and SO2 were measured during cruise (C), maneuvering (M), and hotelling (H) activities of main engines (ME) and auxiliary engines (AE). Using an activity-based approach, emission factors were calculated from the collected data. Real-time data from 2013 to 2021 were utilized to determine total emissions for each year, while regression analysis forecasted emissions until 2040 under various scenarios. Weighted emission factors for ME were determined as 1.1 ± 0.22 g/kWh for CO, 654 ± 13 g/kWh for CO2, 13.95 ± 2.75 g/kWh for NOX, and 11.45± g/kWh for SO2, and for AE, 1.1 ± 0.21 g/kWh for CO, 706 ± 15 g/kWh for CO2, 15.3 ± 1.4 g/kWh for NOX, and 11.15 ± 2.25 g/kWh. Average load factors were as follows: C (ME): 67%, C (AE): 35%, M (ME): 34%, M (AE): 53%, H (ME): 76%, H (AE): 62%. Total emissions from oil tankers in 2022 were projected to be 235 tons for CO, 151580 tons for CO2, 3018 tons for NOX, and 2251 tons for SO2. Future scenarios indicate these amounts could increase by 3, 5, and 12 times by 2040 under optimistic, normal, and pessimistic scenarios, respectively.
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引用次数: 0
Exploring the travel behavior of household-owned electric bikes with the consideration of nonlinear effects of factors with the aid of the generalized additive mixed model
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2024-12-01 DOI: 10.1080/15568318.2024.2433199
Dawei Wu , Lu Ma , Xuedong Yan
Electric bikes (E-bikes) reduce traffic burden in developing countries and provide a lightweight travel option for households. Few studies examined nonlinear effects of factors on e-bike travel behavior. This study adopts the generalized additive mixed model to explore the travel behavior of household-owned e-bikes with the consideration of nonlinear effects of factors based on data from Zhoukou, China. The study confirms that there is a significant nonlinear effect of many factors on the travel behavior of household-owned e-bikes, with the nonlinear effects varying by factors. The lower the number of household bicycles, the higher the travel frequency of household-owned e-bikes. An increase in the number of household cars leads to a decrease in the travel frequency of household-owned e-bikes, and this effect becomes larger as the number of cars increases. The number of household-owned e-bikes is positively correlated with travel frequency, but the correlation weakens after more than 3 e-bikes. There is a negative correlation between the travel frequency of household-owned e-bikes and the number of persons older than 6 when it exceeds 4. The effect of the number of persons older than 6 on the travel frequency of household-owned e-bikes gradually increases when the number of persons older than 6 exceeds 3. Finally, this study puts forward policy suggestions regarding enhancing the attractiveness and competitiveness of household-owned e-bikes. These findings could advance the understanding of the role of e-bikes in households and serve as references for policymakers and planners.
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引用次数: 0
Disrupted intermodality: Examining adaptation strategies to public transport e-scooter bans in Barcelona 中断的多式联运:考察巴塞罗那公共交通电动滑板车禁令的适应策略。
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2024-12-01 DOI: 10.1080/15568318.2024.2434881
Oriol Roig-Costa , Carme Miralles-Guasch , Oriol Marquet
Electric scooters (e-scooters) have changed urban mobility by offering a dynamic solution to the critical “first and last mile” problem, connecting individuals from their homes to public transport and their final destinations. Despite their growing popularity, e-scooters navigate through a landscape of shifting legal frameworks, highlighting the urgency for policies that not only harness their potential but also address their inherent challenges. This study aims to shed light on the intermodal practices and demographics of e-scooters users in Barcelona, explores the potential impacts of regulatory changes on established transport habits, and assesses the adaptability of users to changing transportation options. Through a self-reported survey of 311 private e-scooter users, we find a notable prevalence of young men from lower socioeconomic backgrounds engaging in intermodal travel, primarily for employment purposes. To better understand how e-scooter riders integrate the device in their daily mobility strategies, we introduce the Intermodality Ratio (IR). A Generalized Linear Model (GLM) is then used to identify key demographic, socioeconomic, and geographic predictors of the IR, revealing place of residence as the most significant factor influencing intermodal behavior. Finally, we analyze participants’ anticipated behavioral shifts in response to the upcoming ban using a Multinomial Logistic Regression (MLR) model, which explores the sociodemographic factors affecting the likelihood of adopting alternative transport strategies. These findings contribute to the limited understanding of e-scooter utilization and intermodal practices, particularly within the context of public transit, offering insights into how transport policies can more effectively accommodate emerging mobility solutions.
电动滑板车(e-scooters)通过为关键的“第一英里和最后一英里”问题提供动态解决方案,将个人从家中连接到公共交通和最终目的地,改变了城市交通。尽管电动滑板车越来越受欢迎,但法律框架也在不断变化,这凸显了制定政策的紧迫性,这些政策不仅要利用电动滑板车的潜力,还要解决其固有的挑战。本研究旨在揭示巴塞罗那电动滑板车用户的多式联运实践和人口统计数据,探讨监管变化对现有交通习惯的潜在影响,并评估用户对不断变化的交通选择的适应性。通过对311名私人电动滑板车用户的自我报告调查,我们发现社会经济背景较低的年轻男性参与多式联运旅行的显著流行,主要是为了就业目的。为了更好地了解电动滑板车使用者如何将设备融入他们的日常出行策略,我们引入了多式联运比率(IR)。然后使用广义线性模型(GLM)来确定IR的关键人口、社会经济和地理预测因子,揭示居住地是影响多式联运行为的最重要因素。最后,我们使用多项逻辑回归(MLR)模型分析了参与者对即将到来的禁令的预期行为转变,该模型探讨了影响采用替代交通策略可能性的社会人口因素。这些发现有助于对电动滑板车的使用和多式联运实践的有限理解,特别是在公共交通的背景下,为交通政策如何更有效地适应新兴的移动解决方案提供了见解。
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引用次数: 0
Perceptions of potential cycling infrastructure in a low-cycling context: Evidence from a medium-sized urban area
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2024-12-01 DOI: 10.1080/15568318.2024.2424420
Xavier Delclòs-Alió , Wilbert den Hoed
A key factor for the use of bicycles for transportation is the presence of safe and pleasant infrastructure. While research mostly focuses on large cities, cycling infrastructure and use are still incipient in many small and medium-sized cities. Because of their spatial context and very low and demographically uneven cycle use, it is key to understand how the potential of growing infrastructure is perceived among the general population, as well as how these perceptions differ based on personal characteristics. We focus on Camp de Tarragona (Catalonia, Spain), a polycentric urban area where bicycles are used for transportation for less than 1% of trips, and where local authorities have shown renewed interest in expanding and improving the current infrastructure to increase bicycle usage. We examine the perception of residents in the study area regarding various bicycle infrastructure scenarios through a visual preference analysis using photo evaluation. The representative survey was conducted with over 1,000 individuals in 2022, which demonstrates a widespread willingness to cycle as a means of transportation. However, this desire remains unmet due to inadequate infrastructure and an urban configuration that generally discourages cycling. The results show a need for recognizable, safe and segregated cycling infrastructure, though with differing perceptions between gender and age groups and between levels of urban density. The understanding of diverse sociodemographic nuances in the preferences of non-cyclists emerges as vital for promoting cycling as a feasible and socially inclusive transportation choice, highlighting the importance of tailored infrastructure to encourage cycling and enhance accessibility.
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引用次数: 0
A global overview of Bike Bus: A journey toward a child-friendly city
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2024-12-01 DOI: 10.1080/15568318.2024.2432654
Gemma Simón-i-Mas , Jordi Honey-Rosés
Cities are still far from being child-friendly for cycling. Cycling with children in low-cycling cities poses specific challenges, requiring high confidence and skills. Active travel-to-school programs aim to promote cycling among children, and one of these programs, Bike Bus, has recently captured considerable attention. Bike Bus is an initiative where families cycle together to school following a fixed route and schedule. This study aims to trace the origins of this initiative worldwide, explain the current momentum behind the movement, identify their diversity, and reflect on their long-term sustainability. We reached 431 Bike Buses through a mixed-methods design, including archival analysis, an online survey, and 22 interviews. Bike Bus had a plural origin in Europe in the late twentieth century. Moving more than 35,000 children in a week, its expansion has been driven by the joy it brings to participants, the growing interest in climate action, and social media. This is the first study that examines the characteristics of different Bike Buses and analyzes the particularities of this initiative. On average, the rides have 29 participants and travel 2.8 km. We compare route characteristics, participants, goals, and relationships with their respective city councils. Finally, while not all initiatives aim to last, access to long-term funding and committed organizers are the best enablers for sustainability over time. Bike Bus’ powerful nature lies in its simultaneous purposes: active mobility to school, activism, and joy. To ensure longevity, organizers could collaborate with local administrations to secure resources while maintaining advocacy for child-friendly cities.
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引用次数: 0
Encouraging shared and pooled-use automated vehicle mode choice—what users are sensitive to what instruments?
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2024-12-01 DOI: 10.1080/15568318.2024.2432658
Thomas Stoiber , Raphael Hoerler , Iljana Schubert , Paul Burger
In recent years, the body of literature on automated vehicles (AV) regarding simulation, user acceptance, and accompanying research on pilot projects has increased substantially. However, studies investigating the relationship between user characteristics and preference of shared or pooled-use AV, such as automated taxis or automated shuttles, mainly investigate socioeconomic or mobility characteristics of potential users. Further, there are no studies on user-type sensitivity toward instruments fostering the uptake of shared and pooled-use AV. The aim of our study is to contribute to fill this gap, to provide important knowledge for decision-makers to develop transport policies designed to foster future sharing of AV. To this end, we re-analyze data from a choice experiment with 709 participants together with individual user characteristics, collected within the Swiss Household Energy Demand Survey. Specifically, we analyze the role of socioeconomic and mobility characteristics, attitudes and values regarding sensitivity toward policy-relevant push and pull instruments to foster shared and pooled-use AV mode choice. We show that different types of user characteristics have an impact on AV mode preference and on the sensitivity toward the categories and types of instruments tested. Furthermore, we show that it is worthwhile to differentiate between short-term mobility decisions on single trips and long-term mobility decisions, concerning purchase decisions for AV or subscriptions to AV-related mobility services.
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引用次数: 0
National climate change mitigation efforts for aviation: Lessons from post-Covid state action plans
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2024-12-01 DOI: 10.1080/15568318.2024.2435558
Aashna Pachai , Laurel Besco
The aviation sector contributes to climate change through its significant and growing production of greenhouse gas emissions. Many have suggested mitigation efforts that should be undertaken, but in general these approaches have not resulted in significant change or have ultimately been too expensive. Further, approaches have tended to be fragmented, a challenge for a global industry. There are some exceptions to this, including the International Civil Aviation Organization (ICAO)’s carbon offsetting mechanism, but when it comes to understanding actions at a national level, much remains unclear. While ICAO encourages its member states to develop State Action Plans (SAPs) to address the industry’s impact on climate change, limited research has sought to analyze their proposed actions. In the aftermath of the Covid-19 pandemic’s impact, many called for a renewed effort to mitigate aviation’s contribution to climate change which resulted in a significant number of new SAPs being submitted. As such, this study analyzed 61 SAPs produced in 2021 and 2022 to identify measures being pursued by states to reduce emissions from aviation. We were also interested in partnerships across countries, given the emphasis on collaboration within ICAO’s environment programs. Findings show that most countries have focused on mitigation measures projected to have smaller emission reduction potential in the long term and what evidence we found of more ambitious “deep” decarbonization efforts was largely in the early stages of development. Additionally, we find limited evidence of ICAO’s Buddy Partnership programs in the SAPs which signals a need to re-imagine these opportunities.
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引用次数: 0
Mapping out the current and ideal weekly distribution of remote work in France after COVID-19 制定COVID-19后法国当前和理想的每周远程工作分配
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2024-11-04 DOI: 10.1080/15568318.2024.2425726
Leslie Belton Chevallier , Anne Aguilera , Eugênia Viana Cerqueira , Eléonore Pigalle , Benjamin Motte-Baumvol
The recent rise of telework brings new debates on the impacts on travel behavior and transportation systems. One key issue concerns the weekly number and distribution of remote workdays, which affects transportation networks and their congestion levels. Using data from an online survey conducted in spring 2022 in France, Bayesian regressions and a multilevel model are used to analyze employee’s current and ideal weekly number and distribution of full-day home-based remote workdays. Firstly, the findings highlight a latent demand for more remote workdays, especially among people working remotely 1 day a week. Secondly, data show a concentration of current and ideal remote workdays on Fridays, followed by Mondays and Wednesdays. Thirdly, and finally, our results show that employer’s strategies and the nature of the sector (public or private) both contribute to explain the current and ideal weekly distribution of remote workdays. These results indicate that remote work should continue to develop and be distributed unevenly over the days of the week. This uneven distribution should impact travel behavior and traffic congestion.
最近,远程办公的兴起引发了关于其对出行行为和交通系统影响的新争论。一个关键问题涉及每周远程工作日的数量和分布,这会影响交通网络及其拥堵程度。利用2022年春季在法国进行的一项在线调查的数据,使用贝叶斯回归和多层模型分析了员工目前和理想的每周全职在家远程工作日的数量和分布。首先,调查结果强调了对更多远程工作日的潜在需求,尤其是那些每周远程工作一天的人。其次,数据显示当前和理想的远程工作日集中在周五,其次是周一和周三。第三,也是最后,我们的研究结果表明,雇主的策略和部门的性质(公共或私营)都有助于解释当前和理想的每周远程工作日分布。这些结果表明,远程工作应该继续发展,并且在一周的几天内分布不均匀。这种不均匀分布应该会影响出行行为和交通拥堵。
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引用次数: 0
Enhancing bikeshare planning and operation: Strategic use of web-based public feedback 加强共享单车的规划和运营:策略性地利用基于网络的公众反馈
IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES Pub Date : 2024-11-04 DOI: 10.1080/15568318.2024.2424419
Xiaodong Qian , Miguel Jaller
Bikeshare system operators have leveraged online platforms to gather user feedback on station experiences and service quality. This crowdsourced data presents a valuable opportunity to enhance bikeshare planning and operations. However, planners have limited methods to analyze those qualitative data given the sparse nature of this data, which is insufficient for training comprehensive machine learning models. Addressing this challenge, our study employs a novel approach combining spatial analysis and Factor Analysis of Mixed Data (FAMD) to delve into bikeshare users’ perceptions and expectations. Focusing on Chicago’s bikeshare system, we utilize its limited online comments to demonstrate the robustness of our algorithm and its applicability to both large and small datasets. Our findings reveal a geographic pattern in feedback: negative comments on bike rebalancing, station locations, and facilities are concentrated in the city center, while dissatisfaction with the cycling environment is consistent across both urban and peripheral areas. Moreover, we discovered that the demographic and employment characteristics of areas surrounding bikeshare stations significantly influence positive feedback, overshadowing the impact of station design and local infrastructure. Overall, this study offers a quantitative framework for leveraging limited crowdsourced feedback effectively, providing strategic insights for refining bikeshare planning and operational decisions.
共享单车系统运营商利用在线平台收集用户对站点体验和服务质量的反馈。这种众包数据为加强共享单车的规划和运营提供了宝贵的机会。然而,考虑到这些数据的稀疏性,规划人员分析这些定性数据的方法有限,这不足以训练全面的机器学习模型。为了应对这一挑战,我们的研究采用了一种结合空间分析和混合数据因素分析(FAMD)的新方法来深入研究共享单车用户的感知和期望。以芝加哥的自行车共享系统为例,我们利用其有限的在线评论来证明我们算法的稳健性及其对大型和小型数据集的适用性。我们的研究结果揭示了反馈的地理格局:对自行车再平衡、车站位置和设施的负面评论集中在城市中心,而对自行车环境的不满在城市和周边地区都是一致的。此外,我们发现,共享单车站点周边地区的人口和就业特征显著影响正反馈,掩盖了站点设计和当地基础设施的影响。总体而言,本研究为有效利用有限的众包反馈提供了一个定量框架,为完善共享单车规划和运营决策提供了战略见解。
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引用次数: 0
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International Journal of Sustainable Transportation
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