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A dynamic carbon tax on gasoline
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-21 DOI: 10.1016/j.trd.2025.104708
Stefano F. Verde , Valeria Di Cosmo
{"title":"A dynamic carbon tax on gasoline","authors":"Stefano F. Verde ,&nbsp;Valeria Di Cosmo","doi":"10.1016/j.trd.2025.104708","DOIUrl":"10.1016/j.trd.2025.104708","url":null,"abstract":"<div><div>We propose a dynamic carbon tax (DCT) that stabilises gasoline prices by adjusting inversely to crude oil prices. By virtue of reducing gasoline price uncertainty and thus promoting the purchase of more fuel efficient vehicles, the DCT is expected to be more effective in cutting CO<sub>2</sub> emissions than an equivalent ordinary fixed-rate carbon tax. By virtue of preventing or limiting gasoline price spikes, the DCT is also expected to receive greater public support. The analysis is structured into three parts. First, we show how any policy that reduces uncertainty about future gasoline prices improves the expected utility of more fuel efficient vehicles relative to that of less efficient ones. Second, we show how the DCT could be designed to stabilise gasoline prices and thereby reduce gasoline price uncertainty. Third, we test whether gasoline price volatility, taken as a proxy for gasoline price uncertainty, negatively affects the fuel efficiency of light-duty vehicles bought by US households. Using micro-data from the 2017 National Household Transport Survey, we find a negative correlation as expected despite limited volatility of gasoline prices in the study period.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104708"},"PeriodicalIF":7.3,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681980","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
Electrifying choices: How electric bicycles impact on mode choice and CO2 emissions
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-20 DOI: 10.1016/j.trd.2025.104682
Thomas Hagedorn, Marlena Meier, Jan Wessel
{"title":"Electrifying choices: How electric bicycles impact on mode choice and CO2 emissions","authors":"Thomas Hagedorn,&nbsp;Marlena Meier,&nbsp;Jan Wessel","doi":"10.1016/j.trd.2025.104682","DOIUrl":"10.1016/j.trd.2025.104682","url":null,"abstract":"<div><div>This paper analyzes (i) the influence of electric bicycle (“e-bike”) ownership on transport mode choice and (ii) how a change in e-bike ownership affects carbon dioxide (CO<sub>2</sub>) emissions in Germany. Using longitudinal data from household surveys from 2016 to 2022, we first conduct a trip-level analysis with a mixed multinomial logit model (MMNL model) to estimate mode choice probabilities. The results show that the change in e-bike ownership significantly affects travel behavior, by increasing the likelihood of choosing an e-bike as means of transportation by 14.6<!--> <!-->percentage points (p.p.), while correspondingly decreasing the likelihood of choosing other modes, especially conventional bicycles by 5.6<!--> <!-->p.p., as well as car and public transportation by about 4<!--> <!-->p.p. each. Second, by using observed changes in individual distances traveled and transport-mode-specific emissions values, we calculate net emissions savings per person after acquiring an e-bike. These savings amount to 526.9<!--> <!-->kg CO<sub>2</sub> per person and year.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104682"},"PeriodicalIF":7.3,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682050","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
AutonomieAI: An efficient and deployable vehicle energy consumption estimation toolkit
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-20 DOI: 10.1016/j.trd.2025.104686
Ayman Moawad, Bokai Xu, Sylvain Pagerit, Daniela Nieto Prada, Ram Vijayagopal, Phil Sharer, Ehsan Islam, Namdoo Kim, Paul Phillips, Aymeric Rousseau
{"title":"AutonomieAI: An efficient and deployable vehicle energy consumption estimation toolkit","authors":"Ayman Moawad,&nbsp;Bokai Xu,&nbsp;Sylvain Pagerit,&nbsp;Daniela Nieto Prada,&nbsp;Ram Vijayagopal,&nbsp;Phil Sharer,&nbsp;Ehsan Islam,&nbsp;Namdoo Kim,&nbsp;Paul Phillips,&nbsp;Aymeric Rousseau","doi":"10.1016/j.trd.2025.104686","DOIUrl":"10.1016/j.trd.2025.104686","url":null,"abstract":"<div><div>This paper presents AutonomieAI, a novel toolkit designed for efficient energy estimation of vehicles across diverse trip scenarios, routes, and drive cycles, applicable to a broad range of vehicle powertrain technologies. It leverages state-of-the-art Machine Learning techniques to deliver real-time energy prediction of vehicles, enabling co-simulation with transportation level system tools and opening doors for large-scale optimization at city, network or national level. Benchmark results show that AutonomieAI achieves high accuracy, with an average percentage error below 2% for most powertrain types, and computational efficiency capable of processing over 10,000 trips per second. Applications of AutonomieAI have potential to offer the flexibility to assist in solving eco-routing problems, optimize for vehicle and powertrain selection, study charging decision behavior, and optimize for charging station placement. AutonomieAI is the result of large neural network based model architectures, trained on very large and unique high fidelity vehicle simulation data. It is lightweight, deployable, efficient and has accuracy comparable to specialized and complex physics based simulation softwares.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104686"},"PeriodicalIF":7.3,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682051","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
The effect of using N1% as input for aircraft noise modelling
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-20 DOI: 10.1016/j.trd.2025.104710
Rebekka C. van der Grift, Mirjam Snellen, Alireza Amiri-Simkooei
{"title":"The effect of using N1% as input for aircraft noise modelling","authors":"Rebekka C. van der Grift,&nbsp;Mirjam Snellen,&nbsp;Alireza Amiri-Simkooei","doi":"10.1016/j.trd.2025.104710","DOIUrl":"10.1016/j.trd.2025.104710","url":null,"abstract":"<div><div>For models that evaluate aircraft noise, thrust is an essential input. From aircraft flight recorder data or measured noise spectra, the engine’s rotational speed can be estimated for which a conversion is then needed to obtain the engine’s thrust. This research investigates three conversion methods. The first uses the expressions from the ANP database while the second method is based on the fuel flow. The third employs Gas Turbine Simulation Program (GSP) predictions. The thrust estimates are compared to airline performance calculations where significant variations up to 3 dBA in predicted noise were found. Methods one and three were found to be in good agreement with the performance data. An important finding of this paper is that combining methods one and three using least-squares is capable of providing the required conversion expressions, in line with those in the ANP database, but without being limited to a few aircraft types only.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104710"},"PeriodicalIF":7.3,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682045","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
A reliable predict-then-optimize approach for minimizing aircraft fuel consumption
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-17 DOI: 10.1016/j.trd.2025.104693
Ziming Wang , Dabin Xue , Lingxiao Wu , Ran Yan
{"title":"A reliable predict-then-optimize approach for minimizing aircraft fuel consumption","authors":"Ziming Wang ,&nbsp;Dabin Xue ,&nbsp;Lingxiao Wu ,&nbsp;Ran Yan","doi":"10.1016/j.trd.2025.104693","DOIUrl":"10.1016/j.trd.2025.104693","url":null,"abstract":"<div><div>Achieving sustainability in aviation necessitates optimizing loaded fuel to reduce both financial costs and environmental impact, as loaded fuel directly affects aircraft weight, which in turn influences fuel consumption throughout the flight. This study develops a reliable predict-then-optimize approach for minimizing aircraft fuel consumption. First, artificial intelligence-based models are developed to predict fuel consumption rates using Quick Access Recorder data. Then, based on accurate fuel consumption predictions, a data-driven optimization model is further established to determine the minimum loaded fuel, assisting dispatchers in airlines with flight planning. We rigorously prove that under mild assumptions, the approach can return the minimum loaded fuel with given reliability within polynomial times. Experiments were conducted using the four most widely used aircraft models, i.e., A320, A321, B737, and B738. The results show that optimized loaded fuel can achieve an average fuel consumption reduction of 3.67% compared to actual consumption.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104693"},"PeriodicalIF":7.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642404","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
The impact of electric cars on travel behaviour segments: Insights from Norway
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-15 DOI: 10.1016/j.trd.2025.104703
Ioannis Kosmidis
{"title":"The impact of electric cars on travel behaviour segments: Insights from Norway","authors":"Ioannis Kosmidis","doi":"10.1016/j.trd.2025.104703","DOIUrl":"10.1016/j.trd.2025.104703","url":null,"abstract":"<div><div>Clustering travellers based on their characteristics and attitudes allows to design more tailored and effective transport policies. Past studies often associated higher environmental awareness with lower car use, assuming that groups showing a mismatch experience a dissonance. However, the development of electric cars (EVs) could have introduced a disruption in this assumption. This hypothesis is tested a Latent Class Analysis of travel behaviour and attitude data of commuters from Nord-Jæren in Norway for 2019 (n = 741) was performed. Three distinct latent classes of commuters have been identified, two consisting of dedicated car users and one of multimodal travellers. The main difference between the first two groups is whether they use an EV. This study suggests that in contexts with high EV deployment, higher environmental awareness should not necessarily be associated with lower car use or higher use of alternative options, and neither should this phenomenon be considered a dissonance.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104703"},"PeriodicalIF":7.3,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629108","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
Navigating Low-Carbon transport in Sichuan Province: A synergistic approach
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-13 DOI: 10.1016/j.trd.2025.104687
Zhixiao Zhang , Dongmei Wang , Fanqiang Meng , Qinwen Tan , Liuhui Zhao , Ye Deng , Sihan Ji , Zhengjun Gong
{"title":"Navigating Low-Carbon transport in Sichuan Province: A synergistic approach","authors":"Zhixiao Zhang ,&nbsp;Dongmei Wang ,&nbsp;Fanqiang Meng ,&nbsp;Qinwen Tan ,&nbsp;Liuhui Zhao ,&nbsp;Ye Deng ,&nbsp;Sihan Ji ,&nbsp;Zhengjun Gong","doi":"10.1016/j.trd.2025.104687","DOIUrl":"10.1016/j.trd.2025.104687","url":null,"abstract":"<div><div>Transportation is essential for China’s development; however, increasing the usage of transportation raises significant carbon emissions concerns. Currently, there is limited provincial-level analysis of carbon emissions linked to transportation. This study investigates carbon emissions in Sichuan Province’s transportation sector using an integrated analytical framework combining decomposition, decoupling, and scenario analyses. Results show that economic development effect contributed to a 46.05 Mt emission increase from 2006 to 2020, while industry scale effect facilitated emission reduction. Decreased energy intensity and expanded low-carbon industries promoted emissions-growth decoupling despite challenges in achieving strong decoupling. The Low-Carbon Development Scenario projects emissions to peak at 57.02 Mt by 2030 while maintaining economic growth, providing valuable guidance for low-carbon transportation development in rapidly developing regions<strong>.</strong></div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104687"},"PeriodicalIF":7.3,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611196","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
How do major public transport investments induce gentrification? Evidence from consumer data
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-11 DOI: 10.1016/j.trd.2025.104684
Jens Kandt , Justin van Dijk , James Todd
{"title":"How do major public transport investments induce gentrification? Evidence from consumer data","authors":"Jens Kandt ,&nbsp;Justin van Dijk ,&nbsp;James Todd","doi":"10.1016/j.trd.2025.104684","DOIUrl":"10.1016/j.trd.2025.104684","url":null,"abstract":"<div><div>Transit-induced gentrification is a context-dependent phenomenon. Since most empirical studies have analysed single transport investments, the moderating role of local contextual factors is not well understood. This study uses consumer registers and municipal data to investigate within which time frame and under which geographical and economic conditions, transport investments give rise to gentrification. We analyse 19 major bus rapid transit (BRT), light rail transit or tram (LRT) and local heavy rail transport interventions that opened in England and Scotland since 2009. Employing a quasi-experimental analytical framework, we detect some modest signals that transport investments attract new residents – especially residents from more affluent areas – and generate neighbourhood churn. Furthermore, we discover heterogeneous effects among the 19 schemes and find that gentrification occurs more often in local authorities that show lower economic growth and lower labour market participation. Neighbourhood churn appears to be higher in more dynamic local authorities with a stronger skills base.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104684"},"PeriodicalIF":7.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593627","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
An integrated framework for port-hinterland connection vulnerability to sea level rise: Izmir
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-11 DOI: 10.1016/j.trd.2025.104690
Seyma Bayazit
{"title":"An integrated framework for port-hinterland connection vulnerability to sea level rise: Izmir","authors":"Seyma Bayazit","doi":"10.1016/j.trd.2025.104690","DOIUrl":"10.1016/j.trd.2025.104690","url":null,"abstract":"<div><div>This study addresses a critical gap in understanding the vulnerability of port-hinterland connection (PHC) to sea-level rise (SLR) by developing an innovative assessment methodology. Combining the Coastal Vulnerability Index and Count Overlapping Connection Analysis, the research applies this approach to five ports and 18 industrial zones in Izmir, Turkey. Results reveal that 61 % of the study area falls within high and very high vulnerability classes, with 54 % of the road network in these zones. Notably, 77 % of high connection density segments overlap with high vulnerability areas, while 13 % of PHC is classified as high or very high vulnerability. Economic implications are significant, with potential reconstruction costs estimated at €1.12 billion for PHC and €14.2 billion for essential roads in high and very high vulnerable areas. This research provides critical insights for targeted investments, policy formulation, and long-term planning to ensure PHC resilience against SLR challenges.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104690"},"PeriodicalIF":7.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593626","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
Do shared e-mopeds contribute to reduce GHG emissions? Insight from Spanish cities
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-03-11 DOI: 10.1016/j.trd.2025.104706
Carlos Calan , Natalia Sobrino , Jose Manuel Vassallo , Sergio Alvarez
{"title":"Do shared e-mopeds contribute to reduce GHG emissions? Insight from Spanish cities","authors":"Carlos Calan ,&nbsp;Natalia Sobrino ,&nbsp;Jose Manuel Vassallo ,&nbsp;Sergio Alvarez","doi":"10.1016/j.trd.2025.104706","DOIUrl":"10.1016/j.trd.2025.104706","url":null,"abstract":"<div><div>The rapid growth of shared mobility services is transforming urban transportation. However, concerns have arisen regarding their environmental benefits and the potential substitution of more sustainable modes. This paper examines the environmental impact of shared electric moped services in Madrid, Barcelona, and Valencia using a life cycle assessment approach based on 2022 trip data from an important operator. Additionally, a user survey was conducted to estimate the modal shift caused by these services and assess their net environmental impact. The findings indicate that production phase significantly contributes to the overall global warming potential of shared e-moped services, and offer mixed environmental benefits depending on usage patterns. The reduction in emissions across the three cities is minimal when trips are replaced by e-moped services. The paper suggests that enhancing performance in various stages, particularly in production, rebalancing, and extending the lifespan of the vehicles will help reduce their global warming impacts.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104706"},"PeriodicalIF":7.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593570","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
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