Transportation Research Part D-transport and Environment最新文献_第10页

Strategies for sustainable road transport: Technological innovation and organizational management through AI 可持续道路运输战略：通过人工智能进行技术创新和组织管理

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-19 DOI: 10.1016/j.trd.2025.104651

Yishu Liu , Daoqing Zhou , Cheng Wu

{"title":"Strategies for sustainable road transport: Technological innovation and organizational management through AI","authors":"Yishu Liu , Daoqing Zhou , Cheng Wu","doi":"10.1016/j.trd.2025.104651","DOIUrl":"10.1016/j.trd.2025.104651","url":null,"abstract":"<div><div>This study examines three tactics for achieving energy conservation and emission reduction (ECER) in road transport: technological measures, organizational management, and energy system upgrades. Technological progress encompasses enhancing the effectiveness of vehicles, incorporating sustainable energy sources, and harnessing the potential of 5G technology. Organizational management is concerned with the coordination and administration of activities related to urban planning and prioritization of public transit. The potential of alternative fuels, such as hydrogen and biogas, to replace fossil fuels is highlighted by advancements in energy system. The key findings suggest that pollution regulations, fuel replacement flexibility, and integrated planning frameworks are beneficial in maximizing economic and environmental benefits. The findings indicate necessity of implementing technical advancements, strong management practices, and transitioning to renewable energy sources to attain sustainable transportation and reduce GHG emissions. The implementation of a multi-faceted strategy is essential in order to effectively decrease the environmental impact of transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104651"},"PeriodicalIF":7.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436514","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

Revealing the built environment impacts on truck emissions using interpretable machine learning 利用可解释的机器学习揭示建筑环境对卡车排放的影响

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-19 DOI: 10.1016/j.trd.2025.104662

Tongtong Shi , Meiting Tu , Ye Li , Haobing Liu , Dominique Gruyer

{"title":"Revealing the built environment impacts on truck emissions using interpretable machine learning","authors":"Tongtong Shi , Meiting Tu , Ye Li , Haobing Liu , Dominique Gruyer","doi":"10.1016/j.trd.2025.104662","DOIUrl":"10.1016/j.trd.2025.104662","url":null,"abstract":"<div><div>Understanding the factors influencing truck emissions remains critical for sustainable urban freight transport development. However, ignoring spatiotemporal and policy heterogeneity may lead to inaccurate predictions for specific regions and misinterpretation of outcomes. This study develops a comprehensive framework to analyze the nonlinear effects of the built environment on heavy-duty diesel truck emissions, utilizing large-scale GPS data from Shanghai, China. We introduce an interpretable predictive model that integrates random effects with a light gradient boosting machine to account for spatiotemporal and policy influences. The results show that proposed model outperforms baseline by 15 %–20 %, with an improvement exceeding 17 % in the more complex tasks of localized predictions in central urban areas. Land use and road design factors contribute 72.26 % to truck emissions, with industrial land density as the primary driver. Furthermore, the relationship between these factors and pollution emissions exhibits pronounced non-linearity, with threshold effects that vary under various policy restrictions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104662"},"PeriodicalIF":7.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436515","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

Resilience assessment of global container shipping network via port communities 基于港口社区的全球集装箱航运网络弹性评估

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-18 DOI: 10.1016/j.trd.2025.104649

Nanxi Wang , Kum Fai Yuen , Xueyi Gao , Yinghui Nie

{"title":"Resilience assessment of global container shipping network via port communities","authors":"Nanxi Wang , Kum Fai Yuen , Xueyi Gao , Yinghui Nie","doi":"10.1016/j.trd.2025.104649","DOIUrl":"10.1016/j.trd.2025.104649","url":null,"abstract":"<div><div>The global container shipping network (GCSN) is vulnerable to disruptions. This study aims to enhance the GCSN resilience by proposing an enhanced disruption simulation model and introducing a novel research perspective: port communities. The simulation model integrates cascading failure and recovery mechanisms, incorporates ship behaviour during disruptions, and introduces a temporal dimension to track the network’s evolution. Port community-to- community connections provide a clearer and more holistic perspective. Using Infomap algorithm, port communities are identified based on transportation direction, capacity, and geographic proximity, resulting in a decentralized and balanced structure while preserving GCSN’s scale-free and small-world properties. Simulations of various disruption scenarios and recovery strategies yielded optimized key parameters and practical recommendations. For instance, the optimal distance threshold for detecting port communities is 300 km. Additionally, weak correlations between alternative port numbers and community size/throughput (0.17, 0.246) underscore the need for geographically balanced distribution and reduced reliance on single ports.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104649"},"PeriodicalIF":7.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549217","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

Assess changes in electric vehicle usage behaviour: Comparison between 2018 and 2021 评估电动汽车使用行为的变化：2018年和2021年的比较

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-18 DOI: 10.1016/j.trd.2025.104661

Dingsong Cui , Peng Liu , Zhenpo Wang

引用次数: 0

Geometric and operational optimization at reversible unconventional arterial intersection reducing traffic emissions 可逆非常规干线交叉口的几何和运行优化，减少交通排放

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-18 DOI: 10.1016/j.trd.2025.104656

Lang Song , Huailei Cheng , Jian Wang , Shanchuan Yu , Yuchuan Du

{"title":"Geometric and operational optimization at reversible unconventional arterial intersection reducing traffic emissions","authors":"Lang Song , Huailei Cheng , Jian Wang , Shanchuan Yu , Yuchuan Du","doi":"10.1016/j.trd.2025.104656","DOIUrl":"10.1016/j.trd.2025.104656","url":null,"abstract":"<div><div>This study develops a novel unconventional arterial intersection with reversible lanes (UAI-RL) to reduce traffic emission, where six forms of UAI, conventional intersections (CI), contraflow left-turn lane (CLL), tandem intersection (TI), continuous flow intersection (CFI), parallel flow intersection (PFI) and upstream signalized crossover (USC) on each leg can be flexibly switched in a mixed assignment area between pre-signal and main intersections. Traffic emission of UAI-RL is minimized by a unified optimization for both geometric design and signal control. A machine-learning-based surrogate-assisted algorithm is established to solve the problem. The result demonstrates that optimal UAI-RL is useful for intersections where traffic demand frequently fluctuates. Decreasing vehicle stops is beneficial to reducing emission and CI on four legs is recommended in the case of low demand. Enhancing capacity to prevent intersection oversaturation is more helpful and TI, CFI, PFI and USC on four legs are recommended in the case of heavy demand.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104656"},"PeriodicalIF":7.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436512","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

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-18 DOI: 10.1016/j.trd.2025.104663

Yi Dai , Xiaochen Liu , Hao Li , Xiaohua Liu , Tao Zhang , Zhihan Su , Sheng Zhao , Yicong Zhou

{"title":"Building-related electric vehicle charging behaviors and energy consumption patterns: An urban-scale analysis","authors":"Yi Dai , Xiaochen Liu , Hao Li , Xiaohua Liu , Tao Zhang , Zhihan Su , Sheng Zhao , Yicong Zhou","doi":"10.1016/j.trd.2025.104663","DOIUrl":"10.1016/j.trd.2025.104663","url":null,"abstract":"<div><div>Understanding electric vehicle (EV) charging behavior and energy consumption patterns is fundamental to support the transportation electrification trend. We analyzed a dataset of 2,385,173 charging sessions from 2,719 chargers across 158 stations in Beijing, China. First, the charging sessions of alternating-current slow chargers (ACSCs) are mainly affected by parking behavior related to adjacent buildings; conversely, the charging sessions of direct-current fast chargers (DCFCs) cater to urgent charging demands. Second, adjacent building type and public accessibility significantly impact a station’s charging power profile. Public station profiles can be quantified by combining private and independent station profiles. Third, the impact of charger rated power on utilization rate varies by station type. The charger utilization rate increases with its rated power at independent and commercial stations, but decreases at workplace and residential stations. This study reveals the inherent behavioral and energy-use relationship between EVs and buildings, providing guidance for charging infrastructure planning.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104663"},"PeriodicalIF":7.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429946","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

Exploring the built environment’s impact on E-bikes: Longitudinal evidence from the Netherlands 探索建筑环境对电动自行车的影响：来自荷兰的纵向证据

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-18 DOI: 10.1016/j.trd.2025.104643

Yushan Zhang, Dena Kasraian, Pieter van Wesemael

引用次数: 0

Household transportation lifecycle greenhouse gas emission prediction 家庭交通全生命周期温室气体排放预测

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-18 DOI: 10.1016/j.trd.2025.104660

Hamed Naseri , E.O.D Waygood , Zachary Patterson

引用次数: 0

Assessing Chinese user satisfaction with electric vehicle battery performance from online reviews 从在线评论评估中国用户对电动汽车电池性能的满意度

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-18 DOI: 10.1016/j.trd.2025.104644

Lanxin Shi , Shiqi (Shawn) Ou , Yanzi Zhou , Yonglin Wu , Xiaolu Tan , Xin He , Daniel J. De Castro Gomez , Zhenhong Lin

{"title":"Assessing Chinese user satisfaction with electric vehicle battery performance from online reviews","authors":"Lanxin Shi , Shiqi (Shawn) Ou , Yanzi Zhou , Yonglin Wu , Xiaolu Tan , Xin He , Daniel J. De Castro Gomez , Zhenhong Lin","doi":"10.1016/j.trd.2025.104644","DOIUrl":"10.1016/j.trd.2025.104644","url":null,"abstract":"<div><div>This study employs data-scraping and analysis of 11,525 Plug-in Electric Vehicle (PEV) user reviews from 2018 to 2024, focusing on users’ battery performance satisfaction with electric range, battery degradation, and charging experience. Using SnowNLP, Multinomial Naive Bayes, and Bidirectional Encoder Representations from Transformers (BERT), along with an explainable machine learning algorithm, the findings identify location and vehicle price as critical factors influencing PEV perceptions. Battery Electric Vehicles (BEVs) receive consistently more positive feedback than Plug-in Hybrid Electric Vehicles (PHEVs) across the Chinese Mainland, though satisfaction for both declines with vehicle age. PEVs with an all-electric range of under 100 km get predominantly negative reviews after over four years of use. To boost PEV adoption and satisfaction, targeted incentives for PHEVs with 150–200 km and BEVs with 550–600 km range in lower-tier cities are recommended. These findings offer valuable insights for manufacturers and policymakers promoting PEV market growth in China.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104644"},"PeriodicalIF":7.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428690","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

Transportation sector’s carbon emission pressure in Chinese provinces during carbon peak 碳峰值时期中国各省交通运输行业碳排放压力分析

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-17 DOI: 10.1016/j.trd.2025.104606

Zihong Liu , Haitao Xiong , Guo-liang Yang

{"title":"Transportation sector’s carbon emission pressure in Chinese provinces during carbon peak","authors":"Zihong Liu , Haitao Xiong , Guo-liang Yang","doi":"10.1016/j.trd.2025.104606","DOIUrl":"10.1016/j.trd.2025.104606","url":null,"abstract":"<div><div>This paper introduces a new method for ex-ante assessment of carbon emission pressure (CEP), incorporating carbon quotas allocation and emission demand forecasting while considering efficiency, fairness, technological progress, regional production technology heterogeneity, and expected production scale. The method is applied to empirically investigate the low-carbon production efficiency, spatial distribution, and dynamic trends of CEPs in 30 Chinese provinces’ transportation sectors during the carbon peak period. Results show that: (1) western provinces and populous provinces are the main sources of inefficiency in China’s low-carbon transportation efforts; (2) inland hub provinces like Hebei and Hubei will see low and steadily decreasing CEPs; (3) eastern coastal provinces with large transportation scale, resource-exporting central provinces, and western provinces will face high and rising CEPs for various reasons. The method’s validity and accuracy are verified through comparison, and policy implications are provided to support a differentiated low-carbon transition in China’s transportation sector.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104606"},"PeriodicalIF":7.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427595","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