Transportation Research Part D-transport and Environment最新文献

英文中文

Reducing automobile commuting in inner-city and suburban: Integrating land-use and management intervention 减少市内和郊区的汽车通勤：整合土地使用和管理干预措施

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-11 DOI: 10.1016/j.trd.2024.104460

Shuo Yang , Leyu Zhou , Chang Liu , Yixin Guo , Shan Sun , Liang Guo , Xiaoli Sun

Few studies have examined how demand-side management measures, alone or in conjunction with built environment interventions, affect car owners’ automobile commuting choices in developing cities. Additionally, most studies overlook the difference between inner-cities and suburbs. Applying extreme gradient boosting decision trees and shapley method to the 2020 Wuhan travel survey data, this study addresses these gaps. Transportation management measures and the built environment individually exert a significant impact on car commuting, while jointly exhibiting synergistic effects on car commuting. Meanwhile, most of these effects are nonlinear and exhibit different properties in the inner-city and suburbs. In the inner-city, proximity to central development and population densification can reduce automobile commuting. Parking fees and transit allowances enhance these benefits. For suburbs, job densification and mixed development are more effective, but have limited impact on the inner city. This study demonstrated that integrating built environment interventions with management measures enhances policy effectiveness.

很少有研究探讨需求方管理措施（单独或与建筑环境干预措施相结合）如何影响发展中城市车主的汽车通勤选择。此外，大多数研究都忽略了城市内部和郊区之间的差异。本研究将极端梯度提升决策树和 Shapley 方法应用于 2020 年武汉市出行调查数据，弥补了这些不足。交通管理措施和建筑环境各自对汽车通勤产生了显著影响，同时共同对汽车通勤产生了协同效应。同时，这些影响大多是非线性的，在市内和郊区表现出不同的特性。在市内，靠近中心发展区和人口密集化可以减少汽车通勤。停车费和公交补贴则会增加这些好处。对于郊区来说，就业密集化和混合发展更为有效，但对内城的影响有限。这项研究表明，将建筑环境干预措施与管理措施相结合可以提高政策的有效性。

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引用次数: 0

Exploring impacts of electricity tariff on charging infrastructure planning: An activity-based approach 探索电价对充电基础设施规划的影响：基于活动的方法

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-10 DOI: 10.1016/j.trd.2024.104451

Alireza Rostami , Omer Verbas , Behdad Ghafarnezhad , Amirali Soltanpour , Mehrnaz Ghamami , Ali Zockaie

In the past decade, electric vehicles (EVs) have gained popularity for their efficiency and environmental benefits. Advances in battery technology and charging equipment have yielded long-range EVs and fast-charging. However, many major cities lack adequate charging infrastructure for daily EV use. This study addresses this gap by integrating activity-based modeling, charging behavior simulation, and charging infrastructure optimization. The research utilizes the POLARIS agent-based transportation model to accurately capture user activities, trip patterns, and traffic flows. Additionally, the study investigates the impact of fixed and spatiotemporal electricity rate distributions on optimal charging infrastructure deployment. The framework is applied to the Chicago regional area network and analyzed under various EV ownership scenarios. The results reveal significant impacts of the charging pricing strategy on user decision-making and charging demand distribution. There is also a need for consistent pricing policies in charging infrastructure planning and operational phases to avoid drops in service quality.

在过去的十年中，电动汽车（EV）因其效率和环境效益而广受欢迎。电池技术和充电设备的进步带来了电动汽车的长续航能力和快速充电功能。然而，许多大城市缺乏足够的充电基础设施来满足电动汽车的日常使用。本研究通过整合基于活动的建模、充电行为模拟和充电基础设施优化，弥补了这一不足。研究利用基于 POLARIS 代理的交通模型来准确捕捉用户活动、出行模式和交通流量。此外，该研究还探讨了固定和时空电费分布对充电基础设施优化部署的影响。该框架被应用于芝加哥地区网络，并在各种电动汽车拥有情况下进行分析。结果显示，充电定价策略对用户决策和充电需求分布有重大影响。此外，还需要在充电基础设施规划和运营阶段采用一致的定价政策，以避免服务质量下降。

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引用次数: 0

Rethinking automobility in the suburb: Experiences with carsharing in a Danish suburb 反思郊区的汽车流动性：丹麦郊区的汽车共享经验

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-07 DOI: 10.1016/j.trd.2024.104444

Malene Rudolf Lindberg , Toke Haunstrup Christensen , Thomas Skou Grindsted , Freja Friis

Suburban areas pose challenges for sustainable mobility due to their reliance on private cars. This paper investigates carsharing as a potential strategy to promote sustainability in suburban mobility. Through qualitative analysis of interviews with households in a newly developed suburban area in Denmark, where a subsidized carsharing service was introduced, this paper explores the possibilities and challenges of transitioning to carsharing. Findings are related to experiences from two other carsharing schemes in the area, based on interviews with the operators. The paper concludes that the success of carsharing in suburbs depends on tailoring schemes to the specific material and planning context and integrating them into the local community. Drawing on practice theory, the paper argues that this integration allows residents to change mobility practices. Further, mobility innovation must also question conventional planning truths, such as parking as a public good and mobility as a private matter.

郊区由于对私家车的依赖，给可持续交通带来了挑战。本文将汽车共享作为促进郊区交通可持续发展的潜在策略进行研究。丹麦新开发的郊区引入了汽车共享补贴服务，本文通过对该地区家庭的访谈进行定性分析，探讨了向汽车共享过渡的可能性和挑战。根据对运营商的访谈，研究结果与该地区另外两个汽车共享计划的经验相关联。本文的结论是，汽车共享能否在郊区取得成功，取决于能否根据具体的物质条件和规划环境量身定制计划，并将其融入当地社区。本文借鉴实践理论，认为这种融合可以让居民改变出行方式。此外，交通创新还必须质疑传统的规划真理，如停车是公共产品，交通是私人事务。

引用次数: 0

Investigating relationships between shore power utilization and characteristics of ships and berths 调查岸电利用率与船舶和泊位特征之间的关系

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-07 DOI: 10.1016/j.trd.2024.104446

Wenyuan Wang , Keke Liu , Yun Peng , Qi Yu , Jiaqi Guo , Taizhou Yu

Shore power (SP) is widely recognized as an efficient strategy for reducing greenhouse gas emissions from vessels while docked at ports. Nevertheless, many SP systems are used irregularly, which results in inefficient emission reduction. This study evaluates SP implementation and utilization in China in 2022 using data from 18,724 ships and 6,551 berths. The primary objective is to identify discrepancies in SP construction and usage, especially with regard to ships and berths that differ in terms of tonnage, types, regions, and other characteristics. Using an apriori algorithm, the study looks into the relationship between SP usage and these unique features. Tailored approaches are proposed to improve SP usage addressing specific barriers that result in the low SP utilization rate among these features. The study also measures the increase in the number of ships using SP and the subsequent decrease in carbon emissions as a consequence of these tactical strategies.

岸电（SP）被广泛认为是减少船舶停靠港口时温室气体排放的有效策略。然而，许多岸电系统使用不规范，导致减排效率低下。本研究利用 18724 艘船舶和 6551 个泊位的数据，评估了 2022 年中国 SP 的实施和使用情况。研究的主要目的是找出SP建造和使用中的差异，尤其是船舶和泊位在吨位、类型、地区和其他特征方面的差异。该研究使用一种先验算法，研究 SP 使用与这些独特特征之间的关系。针对这些特点中导致 SP 使用率低的具体障碍，提出了提高 SP 使用率的定制方法。该研究还衡量了使用 SP 的船舶数量的增加情况，以及这些战术策略带来的碳排放量的减少情况。

引用次数: 0

The effects of tropical cyclone on the container shipping network: A case study of typhoon Ma-on (2022) 热带气旋对集装箱航运网络的影响：台风 "梅安"（2022 年）案例研究

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-04 DOI: 10.1016/j.trd.2024.104449

Zhucheng Huang , Zhangyuan He , Pengjun Zhao , Caixia Zhang , Yingnan Niu , Wuxin Guo , Yanzhe Cui , Weizeng Shao

As climate change intensifies, tropical cyclones pose increasing challenges to container shipping networks (CSN). However, research related in this area remains insufficient. In this study, we analyzed the effects of Typhoon Ma-on on the CSN using over 776 million Automatic Identification System (AIS) trajectory signals. Our findings reveal that the typhoon not only altered the network structure of the CSN but also affected the importance of container ports, vessel flow, and travel distance fluctuations along shipping routes. After the typhoon, the recovery of the network’s connectivity and stability, as well as travel time fluctuations, was less robust compared to other aspects. Additionally, the impact ranges for port importance, vessel flow, and travel distance fluctuations were 1,750 km, 500 km, and 2,250 km, respectively, following an inverse distance decay pattern. These findings offer new insights for stakeholders to enhance the effectiveness of disaster prevention and mitigation policies.

随着气候变化的加剧，热带气旋给集装箱航运网络（CSN）带来了越来越大的挑战。然而，该领域的相关研究仍然不足。在本研究中，我们利用超过 7.76 亿个自动识别系统（AIS）轨迹信号分析了台风 "麦安 "对 CSN 的影响。我们的研究结果表明，台风不仅改变了 CSN 的网络结构，还影响了集装箱港口的重要性、船舶流量和航运路线上的行程距离波动。台风过后，网络的连通性和稳定性以及旅行时间波动的恢复情况不如其他方面强劲。此外，港口重要性、船舶流量和旅行距离波动的影响范围分别为 1,750 千米、500 千米和 2,250 千米，呈反向距离衰减模式。这些发现为利益相关方提高防灾减灾政策的有效性提供了新的见解。

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引用次数: 0

Does built environment improvement promote transport equity for internal migrants in Beijing? 建筑环境的改善是否促进了北京内部移民的交通公平？

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-04 DOI: 10.1016/j.trd.2024.104445

Min Zhang, Minghui Shen, Liya Yang

Numerous studies and practices leverage improvements in the built environment to encourage green transportation due to its significant potential to shape travel behaviors. Yet, the equity impacts of these improvements on vulnerable populations remain underexplored. This study seeks to address the question: whether built environment improvement strategies advance transport equity? Using a travel survey from Beijing and combining the Capability Approach with the Random Parameter Logit model, we develop a multilevel discrete choice model to estimate capability changes for four hypothetical scenarios of built environment improvement and conduct transportation equity analysis using Maximax principle. Our results show that increasing the mix of land use is prioritized to enhance commuting equity for carless internal migrants. Expanding bus route coverage is recommended to alleviate commuting inequality for low-income internal migrants. However, increasing road density or decreasing the distance to the nearest metro station may not effectively mitigate commuting inequities for disadvantaged internal migrants.

许多研究和实践利用建筑环境的改善来鼓励绿色交通，因为它具有塑造出行行为的巨大潜力。然而，这些改善措施对弱势群体的公平影响仍未得到充分探讨。本研究旨在解决以下问题：建筑环境改善策略是否促进了交通公平？我们利用北京的一项出行调查，结合能力法和随机参数 Logit 模型，建立了一个多层级离散选择模型，以估算四种假设的建筑环境改善方案的能力变化，并利用 Maximax 原则进行交通公平分析。我们的研究结果表明，增加土地利用组合是提高无车内部移民通勤公平性的优先选择。建议扩大公交线路的覆盖范围，以缓解低收入内部移民的通勤不平等问题。然而，增加道路密度或减少与最近地铁站的距离可能无法有效缓解弱势内部移民的通勤不平等问题。

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引用次数: 0

Exploring spatial heterogeneity of e-scooter’s relationship with ridesourcing using explainable machine learning 利用可解释机器学习探索电动滑板车与骑行服务关系的空间异质性

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-04 DOI: 10.1016/j.trd.2024.104452

Junfeng Jiao, Yiming Xu, Yang Li

The expansion of e-scooter sharing system has introduced several novel interactions within the existing transportation system. However, few studies have explored how spatial contexts influence these interactions. To fill this gap, this study explored the spatial heterogeneity in e-scooter’s relationship with ridesourcing using data from Chicago, IL. We developed a Light Gradient Boosting Machine (LightGBM) to estimate e-scooter sharing usage using ridesourcing trips along with associated built environment and socio-demographic variables. The model was interpreted using SHapley Additive exPlanations (SHAP). Results indicated that the threshold effects, where the positive relationship between e-scooter sharing and ridesourcing significantly weakened beyond a certain value, were more pronounced in areas with lower population density, fewer jobs, and fewer young, highly educated population. This is primarily attributed to the limited competitiveness of e-scooter sharing in these areas. These findings can assist cities in harmonizing e-scooter sharing and ridesourcing thus promoting sustainable transportation systems.

电动滑板车共享系统的扩展在现有交通系统中引入了几种新的互动方式。然而，很少有研究探讨空间环境如何影响这些互动。为了填补这一空白，本研究利用伊利诺伊州芝加哥市的数据，探讨了电动滑板车与搭乘外包之间的空间异质性关系。我们开发了光梯度提升机（LightGBM），利用搭乘外包车次以及相关的建筑环境和社会人口变量来估算电动滑板车的使用率。该模型使用 SHapley Additive exPlanations（SHAP）进行解释。结果表明，在人口密度较低、就业岗位较少、年轻且受过高等教育的人口较少的地区，门槛效应更为明显，即在超过一定值后，电动摩托车共享与搭乘外包之间的正相关关系明显减弱。这主要是因为共享电动车在这些地区的竞争力有限。这些发现有助于城市协调电动滑板车共享和骑行外包，从而促进可持续交通系统的发展。

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引用次数: 0

Inclusive mobility hubs: An in-depth exploration of the requirements of disadvantaged groups 包容性流动枢纽：深入探讨弱势群体的需求

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-04 DOI: 10.1016/j.trd.2024.104447

Lluis Martinez, Cathy Macharis, Imre Keserü

Mobility hubs are becoming increasingly relevant in urban transport systems because they have the potential to enhance sustainability and decrease transport disadvantages. However, the literature has not yet identified the use that disadvantaged groups make of mobility hubs, nor has it thoroughly revealed their requirements for using them without difficulties. As a means to fill this knowledge gap, this qualitative study applied the Capabilities Approach to thoroughly investigate the requirements of disadvantaged groups concerning the use of mobility hubs. The data was obtained through 45 semi-structured interviews and four focus groups with local experts and potential or current users of mobility hubs in four European regions: Brussels, Munich, Rotterdam-The Hague and Vienna. As a result, eight main categories of requirements and their prevalence among disadvantaged groups were identified. The findings contain several recommendations to support decision-makers and practitioners in developing inclusive mobility hubs.

交通枢纽在城市交通系统中的重要性与日俱增，因为它们具有提高可持续性和减少交通劣势的潜力。然而，文献尚未明确弱势群体对交通枢纽的使用情况，也未深入揭示他们对顺利使用交通枢纽的要求。为了填补这一知识空白，本定性研究采用了 "能力法 "来深入调查弱势群体对使用交通枢纽的要求。数据是通过 45 个半结构式访谈和 4 个焦点小组获得的，访谈对象是欧洲四个地区的当地专家和流动枢纽的潜在用户或当前用户：布鲁塞尔、慕尼黑、鹿特丹-海牙和维也纳。结果确定了八大类要求及其在弱势群体中的普遍程度。研究结果提出了若干建议，以支持决策者和从业人员开发包容性的交通枢纽。

引用次数: 0

Temperature and electric vehicle adoption: A ZIP code-level analysis in the US 温度与电动汽车的采用：美国邮政编码级分析

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-04 DOI: 10.1016/j.trd.2024.104435

Gaia Cervini, Jinha Jung, Konstantina Gkritza

Electric vehicle (EV) users living in colder or warmer climates experience shorter traveling ranges, slower acceleration, and longer recharge times, which might discourage EV adoption. Using data from seven US states, we analyze the link between temperature and EV adoption at the ZIP code level. We collect land surface and air temperature data, along with sociodemographic, infrastructure, land cover, elevation, and electoral data. Using random forest regression, we predict battery electric (BEV) and plug-in hybrid electric (PHEV) vehicle population change rates and penetrations. Our findings reveal that temperature variation and temperature extremes are among the top predictors of BEV and PHEV adoption. Understanding this relationship is crucial for assessing EV feasibility in diverse climates and ensuring equitable access to the technology. This study underscores the importance of incorporating environmental factors in strategies to promote EV adoption.

居住在较冷或较暖气候条件下的电动汽车（EV）用户会经历较短的行驶里程、较慢的加速度和较长的充电时间，这可能会阻碍电动汽车的采用。我们利用美国七个州的数据，在邮政编码层面分析了气温与电动汽车采用率之间的联系。我们收集了地表和空气温度数据，以及社会人口、基础设施、土地覆盖、海拔和选举数据。利用随机森林回归法，我们预测了电池电动汽车（BEV）和插电式混合动力电动汽车（PHEV）的人口变化率和普及率。我们的研究结果表明，气温变化和极端气温是预测 BEV 和 PHEV 采用情况的主要因素之一。了解这种关系对于评估电动汽车在不同气候条件下的可行性以及确保公平使用该技术至关重要。这项研究强调了将环境因素纳入促进电动汽车采用战略的重要性。

引用次数: 0

Transportation emissions monitoring and policy research: Integrating machine learning and satellite imaging 交通排放监测和政策研究：整合机器学习和卫星成像

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2024-10-03 DOI: 10.1016/j.trd.2024.104421

Haoran Fu , Huahui Li , Angran Fu , Xuzhang Wang , Qi Wang

Determining and monitoring greenhouse gas (GHG) emissions remains complex as the global community endeavours to achieve emissions reduction goals. The road transportation sector poses a notable challenge in accurately calculating and monitoring global emissions due to its significant contribution to emissions worldwide. This research proposes integration of machine learning, satellite imaging, and localized emissions data to establish a precise and universally applicable system for monitoring GHG emissions in road transportation. This approach is known for its high level of accuracy, global scalability, and adaptability to diverse needs. The results indicate that integrating machine learning algorithms with satellite imagery is very effective method for monitoring GHG emissions in the transportation industry. The study’s conclusions are important for policymakers, transport authorities, and worldwide organizations working to reduce GHG emissions.

在全球社会努力实现减排目标的过程中，确定和监测温室气体（GHG）排放量仍然十分复杂。由于道路交通行业对全球排放量贡献巨大，因此在精确计算和监测全球排放量方面面临着显著挑战。本研究建议整合机器学习、卫星成像和本地化排放数据，以建立一个精确且普遍适用的系统，用于监测道路交通中的温室气体排放。这种方法以其高精度、全球可扩展性和适应不同需求而著称。研究结果表明，将机器学习算法与卫星图像相结合是监测交通行业温室气体排放的非常有效的方法。这项研究的结论对于政策制定者、交通管理部门和致力于减少温室气体排放的全球组织来说非常重要。

引用次数: 0

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