Transportation Research Part D-transport and Environment最新文献_第7页

Modelling traffic noise-induced annoyance at intersections and its association with psychological health

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104568

Adarsh Yadav , Manoranjan Parida , Pushpa Choudhary , Brind Kumar

{"title":"Modelling traffic noise-induced annoyance at intersections and its association with psychological health","authors":"Adarsh Yadav , Manoranjan Parida , Pushpa Choudhary , Brind Kumar","doi":"10.1016/j.trd.2024.104568","DOIUrl":"10.1016/j.trd.2024.104568","url":null,"abstract":"<div><div>This study develops a model to examine traffic noise-induced annoyance and its mediating effect on the psychological health of shopkeepers and workers at intersections in mid-sized cities. Several hypotheses are proposed to explore effects of variables based on 487 data samples collected at 15 intersections in India. The integrated Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) approach is employed in the present research. Noise sensitivity and perception to honk are ranked first and second regarding their importance in affecting annoyance. Moreover, personal (education), situational (perception to traffic jams and exposure hours), and acoustic factors (equivalent noise level and intermittency ratio) significantly affect annoyance. Further, the study findings indicate that annoyance has a partial mediation effect on psychological health due to traffic noise. The study results can be implemented to identify variables affecting annoyance and its effects on psychological well-being at intersections in mid-sized cities.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104568"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143254","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

Modeling urban brake wear particle emissions: A ride-hailing case in Chengdu, China

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104541

Qiuzi Chen , An Wang , Shunyao Wang , Haobing Liu , Luyang Gong , Ran Tu

{"title":"Modeling urban brake wear particle emissions: A ride-hailing case in Chengdu, China","authors":"Qiuzi Chen , An Wang , Shunyao Wang , Haobing Liu , Luyang Gong , Ran Tu","doi":"10.1016/j.trd.2024.104541","DOIUrl":"10.1016/j.trd.2024.104541","url":null,"abstract":"<div><div>Brake wear particle (BWP) emissions, a major non-exhaust source of urban air pollution, will be regulated under Euro 7 standards. However, current knowledge on quantifying urban BWP emissions and their spatiotemporal variations is insufficient. This study incorporates an operating-mode-based modeling framework with large-scale ride-hailing trajectories and local survey data from Chengdu, China. The local PM<sub>10</sub> emission factor was estimated to be 27 ± 4 mg/km/veh, higher than the literature due to frequent braking. By applying interpretable machine learning for trip-level analysis, strong correlations were identified between BWP emissions and driving characteristics like braking frequency, intensity, speed, and road grade, highlighting the need for reducing on-road braking through better driving and traffic management. Spatiotemporal analysis indicated emissions spike during congested hours, which are also highly correlated with sensitive spots like healthcare facilities. The results shed light on targeted strategies to mitigate the environmental and health impacts of BWP emissions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104541"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143256","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

Global Airport Resilience Index: Towards a comprehensive understanding of air transportation resilience

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-01-01 DOI: 10.1016/j.trd.2024.104522

Sebastian Wandelt , Anming Zhang , Xiaoqian Sun

引用次数: 0

Surrogate modeling for identifying critical bridges in traffic networks under earthquake conditions

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-01-01 DOI: 10.1016/j.trd.2024.104512

Pengshun Li , Ziqi Wang , Bingyu Zhao , Tracy Becker , Kenichi Soga

{"title":"Surrogate modeling for identifying critical bridges in traffic networks under earthquake conditions","authors":"Pengshun Li , Ziqi Wang , Bingyu Zhao , Tracy Becker , Kenichi Soga","doi":"10.1016/j.trd.2024.104512","DOIUrl":"10.1016/j.trd.2024.104512","url":null,"abstract":"<div><div>Bridges are crucial for post-earthquake response. While seismic retrofit can improve bridge resilience, resource limitations necessitate prioritization of critical bridges for upgrades. Traditional methods for identifying critical bridges via seismic risk assessment involve computationally intensive traffic simulations. To expedite this process, this study proposes a “simulation-free” surrogate model using Markov random walk and random forest. Additionally, a combined bridge ranking method based on One-at-a-time, Sobol’ index, and Gini importance is introduced, benefiting from the rapidity of this surrogate model. Application to a case study of the San Francisco Bay Area Road network demonstrates a significant computational time reduction of 98% compared to simulation approaches and the ability to achieve good prediction performance with few training samples, reducing the effort in collecting training data and facilitating more rapid evaluation of the impact of bridges. Furthermore, the combined ranking method outperforms existing methods in identifying critical bridges for network performance enhancement.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104512"},"PeriodicalIF":7.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167228","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

Artificial intelligence applied to truck emissions reduction: A novel emissions calculation model 人工智能在卡车减排中的应用：一种新的排放计算模型

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-12-01 DOI: 10.1016/j.trd.2024.104533

Aquilan Robson de Sousa Sampaio , David Gabriel de Barros Franco , Joel Carlos Zukowski Junior , Arlenes Buzatto Delabary Spada

{"title":"Artificial intelligence applied to truck emissions reduction: A novel emissions calculation model","authors":"Aquilan Robson de Sousa Sampaio , David Gabriel de Barros Franco , Joel Carlos Zukowski Junior , Arlenes Buzatto Delabary Spada","doi":"10.1016/j.trd.2024.104533","DOIUrl":"10.1016/j.trd.2024.104533","url":null,"abstract":"<div><div>Meeting climate targets requires robust carbon reduction strategies, particularly in the context of road transportation. This study presents a predictive model that integrates CO<sub>2</sub> emissions and operational costs for heavy-duty truck loads using Artificial Neural Networks (ANN) and Genetic Algorithms (GA) optimization. The model identifies the optimal vehicle driving profile by balancing environmental sustainability and economic efficiency. A strong correlation between vehicle weight and speed and CO<sub>2</sub> emissions was found, with the optimal weight and speed parameters being 49.67 tons and 31.00–36.61 km/h, respectively. The proposed model was tested across five scenarios, with the total cost per kilometer and emissions scenario yielding the best performance. The results demonstrate significant cost reductions, ranging from 31.4 % to 40.5 %, which not only reflect operational but also environmental cost savings. By optimizing driving parameters, fleet managers and decision makers can implement strategies to reduce operational and environmental costs, promoting sustainable transportation practices.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104533"},"PeriodicalIF":7.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757429","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

Travel well-being: Emerging issues, recent findings and future research 旅行福利：新出现的问题、最新发现和未来研究

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-12-01 DOI: 10.1016/j.trd.2024.104508

Soora Rasouli, Yanan Gao, Patrick Singleton, Alexa Delbosc

引用次数: 0

Can rail reduce British aviation emissions? 铁路能减少英国航空业的排放吗？

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-11-29 DOI: 10.1016/j.trd.2024.104513

Malcolm Morgan , Zia Wadud , Sally Cairns

引用次数: 0

Investigation of influence factors for sampling and quantification of organic emissions released from paving asphalt 道路沥青有机排放采样与定量的影响因素研究

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-11-29 DOI: 10.1016/j.trd.2024.104526

Naipeng Tang , Junyao Wei , Gengren Hao , Chunli Su , Weidong Huang , Hongzhou Zhu

{"title":"Investigation of influence factors for sampling and quantification of organic emissions released from paving asphalt","authors":"Naipeng Tang , Junyao Wei , Gengren Hao , Chunli Su , Weidong Huang , Hongzhou Zhu","doi":"10.1016/j.trd.2024.104526","DOIUrl":"10.1016/j.trd.2024.104526","url":null,"abstract":"<div><div>During construction heating, asphalt releases significant emissions, posing risks to workers and the environment. There are various methods for sampling and analyzing asphalt emissions. However, the quantification results of asphalt emissions are affected by various factors, which is not well investigated. To fill this gap, asphalt emission samples collected under different conditions were dissolved in carbon disulfide and analyzed. Emissions, including polycyclic aromatic hydrocarbons (PAHs), benzenes, and benzothiazoles from crumb rubber modified asphalt (CRMA) and base asphalt, were quantified using gas chromatography-mass spectrometry (GC–MS). Based on the quantitative results under different influencing factors, a sampling procedure for asphalt emissions is recommended. The satisfactory spiked recovery rate of asphalt emission samples indicates the reliability of experimental results. Emission rates were comparable under different experimental conditions. This method can be used for further asphalt emissions reduction research, providing reliable data to support air quality improvement efforts.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104526"},"PeriodicalIF":7.3,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748126","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

Targeting incentives to adopt wind-assisted technologies in shipping by agent-based simulations 基于智能体的船舶风力辅助技术激励机制研究

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-11-28 DOI: 10.1016/j.trd.2024.104511

Elena Romero , Manuel Chica , Roberto Rivas Hermann , Sergio Damas

{"title":"Targeting incentives to adopt wind-assisted technologies in shipping by agent-based simulations","authors":"Elena Romero , Manuel Chica , Roberto Rivas Hermann , Sergio Damas","doi":"10.1016/j.trd.2024.104511","DOIUrl":"10.1016/j.trd.2024.104511","url":null,"abstract":"<div><div>Although the maritime industry has introduced technological improvements, shipping activity is still a major contributor to greenhouse gas emissions. Using more intelligent incentive policies, such as subsidies, seems a way to increase green technology adoption. Our proposal is to engineer micro-level incentives to target a reduced set of adopters to optimize subsidies while encouraging adoption by shipowners. We focus on wind-assisted propulsion technology in shipping and test the effectiveness of targeting using agent-based simulations. The agent-based model employs a three-phase process, influenced by awareness of technology, economic factors, and networking. Experiments under different scenarios robustly analyze targeting policies and their impact on adoption rates. Our findings reveal that targeted incentives significantly improve adoption compared to a uniform distribution. The most effective targeting policies are those that select receptors based on their social activity and energy consumption, although the available budget affects the selection of criteria.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104511"},"PeriodicalIF":7.3,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748128","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

Tourists vs. residents: Nested logit analysis of mode choices for environmental sustainability 游客与居民：环境可持续性模式选择的嵌套对数分析

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-11-26 DOI: 10.1016/j.trd.2024.104521

Heng Zhou , Jiale Qiao , Kunbo Shi , Qian Sun Chayn , Zhigang Yao , Richard Norman

{"title":"Tourists vs. residents: Nested logit analysis of mode choices for environmental sustainability","authors":"Heng Zhou , Jiale Qiao , Kunbo Shi , Qian Sun Chayn , Zhigang Yao , Richard Norman","doi":"10.1016/j.trd.2024.104521","DOIUrl":"10.1016/j.trd.2024.104521","url":null,"abstract":"<div><div>Urban short-distance transportation is crucial for environmental sustainability in metropolitan areas. Although mode choice behavioral differences between tourists and residents have been noted, a comprehensive investigation is lacking. This study addresses this gap using discrete choice modeling to compare mode preferences between tourists and residents. Results reveal that residents emphasize time-saving, while tourists prioritize service quality and convenience. Employed residents attach extra importance to in-vehicle time, and tourists have low tolerance for crowded conditions. Gender impacts only residents’ choices, whereas reduced transfers enhance public transport’s appeal to tourists. Income and environmental consciousness affect both groups, while trip-related factors such as travel purpose and stay duration shape tourists’ choices. These findings offer novel insights into group-specific determinants of mode choice and inform targeted strategies to promote low-carbon public transportation, including tailored pricing incentives, infrastructure improvements, and AI-powered real-time transport and parking applications, thereby facilitating sustainable development in transportation, tourism, and environment.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104521"},"PeriodicalIF":7.3,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721566","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