Transportation Research Part D-transport and Environment最新文献

Factors affecting crossing structure use by khulan and goitered gazelle in China 影响中国花羚和鹅喉羚利用穿越结构的因素

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-14 DOI: 10.1016/j.trd.2024.104417

{"title":"Factors affecting crossing structure use by khulan and goitered gazelle in China","authors":"","doi":"10.1016/j.trd.2024.104417","DOIUrl":"10.1016/j.trd.2024.104417","url":null,"abstract":"<div><p>Quantifying the utilization of wildlife crossing structures (CSs) requires considering the local population background. This study assessed the effectiveness of 22 CSs based on the abundance of two ungulates (khulan and goitered gazelle) in northwestern China and analyzed variables influencing their usage such as openness, water source, and human activities in drylands. Results showed that there were 7 and 13 CSs with higher performance indices (PRi) for khulan and goitered gazelle, respectively. Khulan favors CSs near water sources and with large openness, while goitered gazelle prefers structures that include ponding and also feature large openness. Factors like distance to the CSs of the railway, predators, and human activities affect the utilization of CSs by goitered gazelle. This study emphasized the importance of designing and managing effective wildlife CSs by focusing on openness and water resources. It is recommended that CSs can be spatially consistent in multiple transportation lines run parallel.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1361920924003742/pdfft?md5=d9dfd379a7ee0e8837b8650290226b62&pid=1-s2.0-S1361920924003742-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Determinants of the price premium for eco vessels 生态船舶价格溢价的决定因素

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-14 DOI: 10.1016/j.trd.2024.104414

引用次数: 0

Extreme particulate matter exposure at traffic intersections in a densely populated city 人口稠密城市交通路口的极端颗粒物接触情况

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-14 DOI: 10.1016/j.trd.2024.104416

引用次数: 0

Are shared automated vehicles good for public- or private-transport-oriented cities (or neither)? 共享自动驾驶汽车适合公共交通型城市还是私人交通型城市（或者两者都不适合）？

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-14 DOI: 10.1016/j.trd.2024.104373

{"title":"Are shared automated vehicles good for public- or private-transport-oriented cities (or neither)?","authors":"","doi":"10.1016/j.trd.2024.104373","DOIUrl":"10.1016/j.trd.2024.104373","url":null,"abstract":"<div><p>Simulation studies suggest that Shared Automated Vehicles (SAVs) could reduce the total vehicle kilometres travelled (VKT) thanks to efficiently pooling multiple users in one vehicle. However, mode choice studies indicate that SAVs would attract mostly public transport users, leading to an increase in VKT. This paper is among the first to combine these operational and behavioural expectations and the first to do so analytically. In our theoretical set-up, travellers choose between car, public transport, and SAVs, depending on their individual valuation of private travel and other attributes of each mode. We find that the introduction of SAVs lead to a VKT change in public-transport-oriented cities ranging from a small decrease to a large increase, where the latter is true for plausible parameter settings and hence is a cautionary point for SAV-introduction policies. Conversely, SAVs would attract only few travellers in private-transport-oriented cities and therefore would not significantly impact VKT.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1361920924003304/pdfft?md5=d2b6a19ce0d69f27f7f851626e488fef&pid=1-s2.0-S1361920924003304-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Maritime accident risk prediction integrating weather data using machine learning 利用机器学习整合气象数据进行海上事故风险预测

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-13 DOI: 10.1016/j.trd.2024.104388

{"title":"Maritime accident risk prediction integrating weather data using machine learning","authors":"","doi":"10.1016/j.trd.2024.104388","DOIUrl":"10.1016/j.trd.2024.104388","url":null,"abstract":"<div><p>The study explores the capability of various machine learning (ML) models in maritime accident risk prediction. Data from 1981 to 2021 from the Norwegian Maritime Authorities (NMA) was analysed together with the data of 51 different weather-related variables, which were collected from Visual Crossing for each accident recorded in the NMA dataset. The findings reveal an increased predictive ability of ML models when relevant weather data is introduced. The results show that the <em>Light Gradient Boosted Trees with Early Stopping</em> perform the best, with a five-fold cross validation accuracy of 70.23% when weather data was included, compared to 64.86% without. Furthermore, the study revealed that the leading weather variables for accident prediction are <em>wind</em>, <em>sea level pressure</em>, <em>visibility</em>, and <em>moon phase</em>. The most effective multi-classification ML algorithm can be deployed for improving maritime safety resilience through vulnerability assessment and preparedness.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1361920924003456/pdfft?md5=5d53a869a9f967d61742260db77f1d99&pid=1-s2.0-S1361920924003456-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142229438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emissions reduction potentials in business aviation with electric aircraft 公务航空电动飞机的减排潜力

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-12 DOI: 10.1016/j.trd.2024.104415

引用次数: 0

Barrier assessment of EV business model innovation in China: An MCDM-based FMEA 中国电动汽车商业模式创新的障碍评估：基于 MCDM 的 FMEA

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-12 DOI: 10.1016/j.trd.2024.104404

引用次数: 0

Energy savings and emissions reduction of BEVs at an isolated complex intersection 在一个孤立的复杂交叉路口使用 BEV 可实现节能减排

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-11 DOI: 10.1016/j.trd.2024.104403

{"title":"Energy savings and emissions reduction of BEVs at an isolated complex intersection","authors":"","doi":"10.1016/j.trd.2024.104403","DOIUrl":"10.1016/j.trd.2024.104403","url":null,"abstract":"<div><p>Improving urban dwellers quality of life requires mitigating traffic congestion, minimizing waiting delays, and reducing fuel wastage and associated toxic air pollutants. Battery-electric vehicles (BEVs) are envisioned as the best option, thanks to zero exhaust emissions and regenerative braking. BEVs can be human-driven or autonomous and will co-exist with internal combustion engine vehicles (ICEVs) for years. BEVs can help at complex intersections where traffic is saturated. However, their benefits can be reduced by poor intersection management (IM) strategies that coordinate mixed traffic configurations inefficiently. This paper studies energy savings and emissions reduction using BEVs mixed with human-driven ICEVs under eight relevant IM approaches. It shows that adding BEVs has impacts on throughput, energy consumption, waiting delays, and tail-pipe emissions that depend on the specific IM approach used. Thus, this study provides the information needed to support an optimal choice of IM approaches considering the emerging trend towards electrical mobility.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1361920924003602/pdfft?md5=b6a8bb284ba3b20d8741d5ab796e7153&pid=1-s2.0-S1361920924003602-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of 1.5 °C global warming on pavement climatic factors and performance 全球升温 1.5 °C 对路面气候因素和性能的影响

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-10 DOI: 10.1016/j.trd.2024.104393

引用次数: 0

Decarbonising transport: Can we rely on fuel taxes? 交通脱碳：我们能依靠燃油税吗？

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2024-09-08 DOI: 10.1016/j.trd.2024.104391

引用次数: 0