Zhiqiang Zhai , Leqi Zhang , Guohua Song , Xiao Li , Lei Yu
{"title":"Modeling energy consumption for battery electric vehicles based on in-use vehicle trajectories","authors":"Zhiqiang Zhai , Leqi Zhang , Guohua Song , Xiao Li , Lei Yu","doi":"10.1016/j.trd.2024.104509","DOIUrl":"10.1016/j.trd.2024.104509","url":null,"abstract":"<div><div>The development of battery electric vehicles (BEVs) raises a demand to develop a tool to estimate and predict their energy consumption accurately and efficiently. This study proposes a model to estimate the energy consumption of BEVs based on the trajectories of in-use vehicles, including both BEVs and internal combustion engine vehicles (ICEVs). This model consists of three modules: vehicle specific power (VSP) distributions, energy consumption rates, travel time and mileages. The estimation results are validated and compared with those derived from driving cycles and instantaneous speeds. It is found that the VSP distributions can capture the variation of the energy consumption relating to average speeds, and the results are unbiased with average errors less than 1.9%, comparing with instantaneous speeds. It is practicable to employ the trajectories of ICEVs to model the activity of BEVs for energy consumption estimates, and the average errors are less than 2.7%.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104509"},"PeriodicalIF":7.3,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661938","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}
Guiliang Zhou , Lina Mao , Tianwen Bao , Feipeng Zhuang
{"title":"Machine learning-driven CO2 emission forecasting for light-duty vehicles in China","authors":"Guiliang Zhou , Lina Mao , Tianwen Bao , Feipeng Zhuang","doi":"10.1016/j.trd.2024.104502","DOIUrl":"10.1016/j.trd.2024.104502","url":null,"abstract":"<div><div>The research examines the carbon dioxide (CO2) emissions produced by light-duty vehicles (LDVs) utilizing a thorough dataset of 7,384 cars gathered by the Chinese government between 2018 and 2022. The research aims<!--> <!-->to attain a 40–45% decrease in CO2 emissions by 2030 by the application of advanced machine learning algorithms, specifically Catboost. The results reveal that Catboost, recognized for its data efficiency and capability to manage categorical information, surpasses other models in predictive accuracy, including support vector regression and ridge regression. It is particularly notable for its capability to estimate emissions using just a limited set of vehicle attributes. The research offers crucial insights into air pollution, providing vital suggestions for car owners and manufacturers to reduce their environmental effects. Future investigations should prioritize improving the precision of the model and broadening the datasets to enhance the quality of forecasts.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104502"},"PeriodicalIF":7.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661936","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}
Camilo A. Mora-Quiñones , Jan C. Fransoo , Josué C. Velázquez-Martínez , Leopoldo Eduardo Cárdenas-Barrón , Rafael Escamilla
{"title":"Assessing the impact of loading-unloading zones in emerging markets: Evidence from Mexico","authors":"Camilo A. Mora-Quiñones , Jan C. Fransoo , Josué C. Velázquez-Martínez , Leopoldo Eduardo Cárdenas-Barrón , Rafael Escamilla","doi":"10.1016/j.trd.2024.104486","DOIUrl":"10.1016/j.trd.2024.104486","url":null,"abstract":"<div><div>We investigate the impact of dedicated loading–unloading zones (LUZs) in emerging markets, focusing on their effects on air quality and noise pollution. We conduct a field experiment in downtown area of Zapopan, Mexico. We use a quasi-experimental difference-in-difference approach to analyze changes in air quality and noise pollution before and after implementing the dedicated LUZs. The results indicate a significant reduction of up to 3.55% in CO<sub>2</sub> levels in the mornings and a 14% decrease in noise following the establishment of LUZs. Moreover, insights into the composition of companies involved in last-mile distributions reveals a predominant reliance on micro and small businesses, often utilizing personal vehicles for cargo transport, with a significant portion of freight vehicles being over a decade old. We contribute to the existing literature by providing evidence of the impact of LUZs on mitigating negative externalities associated with last-mile operations, particularly in a developing city.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104486"},"PeriodicalIF":7.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661937","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}
{"title":"Using natural driving experiments and Markov chains to develop realistic driving cycles","authors":"J.D.K. Bishop , C.J. Axon","doi":"10.1016/j.trd.2024.104507","DOIUrl":"10.1016/j.trd.2024.104507","url":null,"abstract":"<div><div>The main purpose of driving cycles is to estimate accurately on-road fuel use and the associated emissions of greenhouse gases and other air pollutants by vehicles. Conventionally, driving cycles are developed using micro-trips, Markov chains, or hybrid approaches, with accuracy determined by comparing metrics of the candidate cycles with the observed data. Through a natural driving experiment, we suggest traffic and road topology have a dominant role in influencing individual driving styles, more so than driver age or gender, or vehicle characteristics. Using experimental data and a Markov chain approach, we make three contributions to driving cycle development. First, we identify a reduced set of 26 metrics which materially influence fuel economy. Second, we assess the trade-offs in accuracy between reproducing vehicle dynamics and fuel economy. Finally, we identify the impact of natural driving variability on the accuracy of candidate cycles.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104507"},"PeriodicalIF":7.3,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661935","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}
{"title":"Fleet vehicle replacement strategy in the Korean market under phase-out of conventional vehicle","authors":"Sangbaek Woo , Deok-Joo Lee , Saedaseul Moon","doi":"10.1016/j.trd.2024.104501","DOIUrl":"10.1016/j.trd.2024.104501","url":null,"abstract":"<div><div>With the recent global requirements to phase out internal combustion engine vehicles (ICEVs), fleet owners (FOs) must consider battery electric vehicles (BEVs) as replacements, introducing regulatory risk due to policy changes. Many countries have legal retirement age limit for fleet vehicles (FVs), considered as policy constraint necessitating eventual replacement. Additionally, uncertainties like fuel price of ICEV and battery price affect the replacement decision. This study proposes an optimal replacement strategy using real option approach for annual decision-making under multiple risk factors. Using data from the Korean FV market, we provide managerial implications. Despite optimistic battery price projections, voluntary BEV switching is not expected to exceed 40% of total FVs. Sensitivity analysis reveals that adjusting the legal retirement age is more effective than changing the BGVSP implementation year. Also, A flexible subsidy based on fuel prices and the extension of the legal retirement age limit through safety inspections should be recommended.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104501"},"PeriodicalIF":7.3,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661934","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}
{"title":"The impacts of extreme weather events on U.S. Public transit ridership","authors":"By Nicole S. Ngo, Shahinur Bashar","doi":"10.1016/j.trd.2024.104504","DOIUrl":"10.1016/j.trd.2024.104504","url":null,"abstract":"<div><div>Climate change is expected to dramatically change weather patterns across the U.S. To understand its impact on public transit, we use regression analysis to investigate: 1) the relationship between public transit ridership and very hot and cold days and days with heavy precipitation across 48 U.S. cities between 2002 and 2019, 2) how this relationship has changed over time, and 3) if there are differences in this relationship based on sociodemographic characteristics. We find a modest reduction in unlinked passenger trips (UPT) per capita, our proxy for public transit ridership, for each additional very hot day, very cold day, or day with heavy precipitation. The greatest reductions associated with very hot days occur toward the end of our study period and in lower-income cities. We also find greater reductions in UPT on buses associated with several consecutive days of cold and heat, but less so with rail.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104504"},"PeriodicalIF":7.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661933","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}
Marta Borowska-Stefańska , Maxim A. Dulebenets , Alireza Sahebgharani , Szymon Wiśniewski , Monika Kozieł
{"title":"Evaluating low-emission-zone impacts on urban road transport system in large city","authors":"Marta Borowska-Stefańska , Maxim A. Dulebenets , Alireza Sahebgharani , Szymon Wiśniewski , Monika Kozieł","doi":"10.1016/j.trd.2024.104503","DOIUrl":"10.1016/j.trd.2024.104503","url":null,"abstract":"<div><div>The purpose of the study was to assess the impact that a low emission zone (LEZ) would have on the road transport subsystem. Different scenarios were adopted regarding: the spatial extent of the zone itself; the stages of its implementation, and the vehicles on the network (by age, engine displacement, and fuel type). The study was based on a macroscopic traffic model of Łódź employed to analyse how any LEZ-related restrictions may affect the operation of the urban road transport system in the city. The conducted analyses showed that while the implementation of a low emission zone would positively affect the environment, it would have a negative impact on the performance of the urban transport system itself. The simulations for each spatial scenario of the LEZ revealed that it would increase the travel times and distances necessary within the city limits, and also decrease travel speeds.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104503"},"PeriodicalIF":7.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661932","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}
{"title":"Traffic noise mitigation through texture-induced quiet pavement: Analytical modeling and field test","authors":"Wei Sheng, Yuhong Wang","doi":"10.1016/j.trd.2024.104485","DOIUrl":"10.1016/j.trd.2024.104485","url":null,"abstract":"<div><div>Tire-pavement noise is a major contributor to traffic noise pollution, impacting human health and well-being. The advent of 3D printing and prefabrication technologies makes it feasible to economically produce delicate concrete pavement textures for noise mitigation. However, relationships between the noise and texture characteristics (e.g., cavity shape, width, depth, and spacing) remain unknown. This study developed an analytical model for tire-pavement noise and calibrated/validated the model using On-board Sound Intensity tests on a purposely constructed road section with manufactured texture configurations. These textures were found to be capable of reducing the noise level by 8–15 dB(A) over conventional concrete textures, and the model prediction closely matched experimental data. Subsequently, the model was used to investigate the texture-noise relationships and identify those major influencing factors. This study contributes to tire-pavement noise modeling and offers insights for building quieter concrete pavements and enhancing the urban living environment.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104485"},"PeriodicalIF":7.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593623","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}
{"title":"Public support for aviation emission policies in India and Norway: Cross-country comparison","authors":"Steffen Kallbekken, Sofie W. Skjeflo","doi":"10.1016/j.trd.2024.104468","DOIUrl":"10.1016/j.trd.2024.104468","url":null,"abstract":"<div><div>We examine public support for four policy instruments to reduce aviation emissions in India and Norway, analysing the determinants of support and the effect of information provision. Support is significantly higher in India, with coercive policies being the least popular. Perceived policy effectiveness and belief in anthropogenic climate change are strong predictors of support, whereas socio-economic predictors are largely insignificant. Respondents overestimate aviation’s CO<sub>2</sub> emissions, with misperceptions affecting policy support. Providing factual information on aviation’s global emissions reduces support for jet fuel tax but not for other policies. Information about emissions from frequent flyers does not affect support levels. Findings highlight the influence of public perceptions and beliefs on policy support and suggest that while targeted information can modify attitudes, additional strategies are needed to boost support for aviation climate policies. Policymakers should note the public’s preference for proactive policies, indicating an opportunity to implement advanced, sustainable technologies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104468"},"PeriodicalIF":7.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593622","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}
{"title":"How far is too far? Urban versus rural acceptable travel distances","authors":"Felix Johan Pot, Linus Piesch","doi":"10.1016/j.trd.2024.104474","DOIUrl":"10.1016/j.trd.2024.104474","url":null,"abstract":"<div><div>This study examines spatial heterogeneity in acceptable travel distances across destination types and travel modes, contributing to the normative debate on setting accessibility sufficiency thresholds. Utilizing data from a 2020 survey on perceived accessibility in the Netherlands, the research finds that <!--> <!-->acceptable travel distances vary between urban and rural areas, contingent upon the mode of transportation.<!--> <!-->Rural residents accept larger distances, primarily facilitated by<!--> <!-->car use, while acceptable distances for active modes are higher in urban areas. Particularly in rural areas, travel distances do not always align with the acceptance of distances, especially regarding public transport. The key message for accessibility policy is that uniform distance thresholds may be ineffective across regions with diverse accessibility needs. The study concludes that empirical insights into the sources of variation in acceptable travel distances can assist in addressing the tension between setting<!--> <!-->general accessibility thresholds and strategies tailored to specific groups in specific areas.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104474"},"PeriodicalIF":7.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587044","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}