Pub Date : 2024-11-07DOI: 10.1016/j.trd.2024.104503
Marta Borowska-Stefańska , Maxim A. Dulebenets , Alireza Sahebgharani , Szymon Wiśniewski , Monika Kozieł
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.
{"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}
Pub Date : 2024-11-06DOI: 10.1016/j.trd.2024.104485
Wei Sheng, Yuhong Wang
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.
{"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}
Pub Date : 2024-11-06DOI: 10.1016/j.trd.2024.104468
Steffen Kallbekken, Sofie W. Skjeflo
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 CO2 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.
{"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}
Pub Date : 2024-11-05DOI: 10.1016/j.trd.2024.104474
Felix Johan Pot, Linus Piesch
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.
{"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}
Pub Date : 2024-11-05DOI: 10.1016/j.trd.2024.104473
Farzad Poursadegh , Michael J. Brear , Thomas G. Leone
This paper evaluates the greenhouse gas (GHG) emissions and financial performance of the U.S. light-duty vehicle (LDV) fleet. It develops dynamic models for conventional (ICEV), hybrid (HEV), plugin hybrid (PHEV) and battery electric (BEV) LDVs in four vehicle classes (compact, sedan, SUV and pickup truck), estimating their component sizes, purchase prices, embodied emissions, fuel consumption, life cycle GHG emissions and total cost of ownership (TCO) as a function of vehicle miles travelled (VMT). These dynamic models are applied to the US LDV fleet with its wide range of VMT per vehicle, revealing that ICEVs have the lowest TCO at lower VMT, but HEVs and BEVs become more cost-effective as VMT increases. Financially optimal powertrain choice can then reduce fleet-wide GHG emissions by one-third with current technologies, without any subsidies or increased costs. Technological advances, particularly in battery costs and electricity emissions, are then powerful drivers of further fleet decarbonization.
{"title":"Least-cost light-duty vehicle fleet decarbonization and the electric vehicle conundrum","authors":"Farzad Poursadegh , Michael J. Brear , Thomas G. Leone","doi":"10.1016/j.trd.2024.104473","DOIUrl":"10.1016/j.trd.2024.104473","url":null,"abstract":"<div><div>This paper evaluates the greenhouse gas (GHG) emissions and financial performance of the U.S. light-duty vehicle (LDV) fleet. It develops dynamic models for conventional (ICEV), hybrid (HEV), plugin hybrid (PHEV) and battery electric (BEV) LDVs in four vehicle classes (compact, sedan, SUV and pickup truck), estimating their component sizes, purchase prices, embodied emissions, fuel consumption, life cycle GHG emissions and total cost of ownership (TCO) as a function of vehicle miles travelled (VMT). These dynamic models are applied to the US LDV fleet with its wide range of VMT per vehicle, revealing that ICEVs have the lowest TCO at lower VMT, but HEVs and BEVs become more cost-effective as VMT increases. Financially optimal powertrain choice can then reduce fleet-wide GHG emissions by one-third with current technologies, without any subsidies or increased costs. Technological advances, particularly in battery costs and electricity emissions, are then powerful drivers of further fleet decarbonization.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104473"},"PeriodicalIF":7.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587084","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}
Pub Date : 2024-11-05DOI: 10.1016/j.trd.2024.104491
Chuyun Zhao, Jinjun Tang, Lipeng Hu, Cheng Hu, Guowen Dai
Driven by rapid industrialization and urbanization, increased carbon emissions in urban transportation pose a significant environmental challenge. Promoting public transportation and managing travel structures are essential for reducing emissions. Despite being proposed as an innovative solution, the urban implementation of carbon charge policies remains limited. This study explores carbon charge policies and analyzes pathways to shift car travel to low-carbon public transportation modes. Dynamic changes in emission hot spots are captured to define the carbon charge zones utilizing the emerging hot spot analysis method, which considers spatiotemporal autocorrelation and statistical validation. By integrating carbon charge into the Multi-Agent Transport Simulation (MATSim) platform, this study overcomes traditional policy tools’ limitations in capturing traffic dynamics and mode substitution effects. Experiments conducted in Shenzhen’s Futian District demonstrate the effectiveness of carbon charge policies in reducing car emissions, particularly during evening peak hours. The findings provide insights for sustainable urban transportation planning and management.
{"title":"Impact of carbon charge policy on mode shifts in public transportation","authors":"Chuyun Zhao, Jinjun Tang, Lipeng Hu, Cheng Hu, Guowen Dai","doi":"10.1016/j.trd.2024.104491","DOIUrl":"10.1016/j.trd.2024.104491","url":null,"abstract":"<div><div>Driven by rapid industrialization and urbanization, increased carbon emissions in urban transportation pose a significant environmental challenge. Promoting public transportation and managing travel structures are essential for reducing emissions. Despite being proposed as an innovative solution, the urban implementation of carbon charge policies remains limited. This study explores carbon charge policies and analyzes pathways to shift car travel to low-carbon public transportation modes. Dynamic changes in emission hot spots are captured to define the carbon charge zones utilizing the emerging hot spot analysis method, which considers spatiotemporal autocorrelation and statistical validation. By integrating carbon charge into the Multi-Agent Transport Simulation (MATSim) platform, this study overcomes traditional policy tools’ limitations in capturing traffic dynamics and mode substitution effects. Experiments conducted in Shenzhen’s Futian District demonstrate the effectiveness of carbon charge policies in reducing car emissions, particularly during evening peak hours. The findings provide insights for sustainable urban transportation planning and management.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104491"},"PeriodicalIF":7.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587043","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}
Pub Date : 2024-11-05DOI: 10.1016/j.trd.2024.104463
Adam Schmidt, Eleni Bardaka
This research explores the disproportionate socioeconomic changes that neighborhoods undergo due to a new urban rail line and adjacent developments and whether these changes differ by neighborhood type. An index is developed to classify neighborhoods into three categories based on their socioeconomic characteristics prior to the line announcement. Average treatment effects are estimated by neighborhood category and over time through a quasi-experimental econometric framework. Econometric models are estimated for five dependent variables and four time periods. The econometric framework is applied to the light rail line in Charlotte, NC, and the analysis is conducted with two control groups to assess the robustness of the results. The results indicate that neighborhoods with a low socioeconomic index experienced large changes pointing towards gentrification due to the light rail line in comparison to the control groups, while in neighborhoods with medium socioeconomic index, the light rail line primarily impacted property prices.
{"title":"The role of transit investments and initial neighborhood attributes on gentrification outcomes","authors":"Adam Schmidt, Eleni Bardaka","doi":"10.1016/j.trd.2024.104463","DOIUrl":"10.1016/j.trd.2024.104463","url":null,"abstract":"<div><div>This research explores the disproportionate socioeconomic changes that neighborhoods undergo due to a new urban rail line and adjacent developments and whether these changes differ by neighborhood type. An index is developed to classify neighborhoods into three categories based on their socioeconomic characteristics prior to the line announcement. Average treatment effects are estimated by neighborhood category and over time through a quasi-experimental econometric framework. Econometric models are estimated for five dependent variables and four time periods. The econometric framework is applied to the light rail line in Charlotte, NC, and the analysis is conducted with two control groups to assess the robustness of the results. The results indicate that neighborhoods with a low socioeconomic index experienced large changes pointing towards gentrification due to the light rail line in comparison to the control groups, while in neighborhoods with medium socioeconomic index, the light rail line primarily impacted property prices.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104463"},"PeriodicalIF":7.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587042","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}
Pub Date : 2024-11-03DOI: 10.1016/j.trd.2024.104481
Zhengtao Qin , Chengcheng Yu , Haocheng Lin , Chao Yang , Quan Yuan
The demand for freight facilities has expanded substantially due to a surge in e-commerce demand, which significantly impacts land development and the built environment. The locational shift of such facilities leads to growing concern over gentrification due to its externalities and results in changes in socio-economic attributes and land values. Using the Spatial Durbin Model and the Structural Equation Model, this study explores how the locational behavior of freight facilities can influence local socio-economic changes, including gentrification. By using data from the Los Angeles region between 2011 and 2021, the study found that when freight facilities were relocated, gentrification could happen as a result of sociopolitical differences across places. A decrease of 1 freight facility per square kilometer is associated with an increase of $125 in median household income. Moreover, the move-out of freight facilities and the rise in land values are self-reinforcing in the long term. The findings provide insights into the balance between economic growth and community well-being regarding freight infrastructure development.
{"title":"Unraveling the role of freight facility development in the dynamics of gentrification","authors":"Zhengtao Qin , Chengcheng Yu , Haocheng Lin , Chao Yang , Quan Yuan","doi":"10.1016/j.trd.2024.104481","DOIUrl":"10.1016/j.trd.2024.104481","url":null,"abstract":"<div><div>The demand for freight facilities has expanded substantially due to a surge in e-commerce demand, which significantly impacts land development and the built environment. The locational shift of such facilities leads to growing concern over gentrification due to its externalities and results in changes in socio-economic attributes and land values. Using the Spatial Durbin Model and the Structural Equation Model, this study explores how the locational behavior of freight facilities can influence local socio-economic changes, including gentrification. By using data from the Los Angeles region between 2011 and 2021, the study found that when freight facilities were relocated, gentrification could happen as a result of sociopolitical differences across places. A decrease of 1 freight facility per square kilometer is associated with an increase of $125 in median household income. Moreover, the move-out of freight facilities and the rise in land values are self-reinforcing in the long term. The findings provide insights into the balance between economic growth and community well-being regarding freight infrastructure development.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104481"},"PeriodicalIF":7.3,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571334","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}
Pub Date : 2024-11-02DOI: 10.1016/j.trd.2024.104490
E. Sandhiya, M.S. Gajanand
In recent years, the rapid proliferation of economic activities in India is accompanied by a surge in the demand for electric vehicles (EVs) and charging infrastructure development. This study analyses the performance of the EV adoption across the Indian states using a modified context dependent data envelopment analysis. We identify key macroeconomic factors that influence EV and CI expansion and provide a framework for informing targeted policy interventions for states to optimize their EV ecosystem development. Our analysis reveals that states with higher socio-economic indicators and comprehensive EV policies exhibit superior performance in EV adoption. Additionally, we propose a benchmarking strategy for lower performing states, guiding them towards a pathway for efficiency improvement through targeted infrastructure investments. This data-driven approach can inform policymakers in creating effective strategies to accelerate the development of a robust EV ecosystem.
近年来，随着印度经济活动的快速增长，对电动汽车（EV）和充电基础设施建设的需求也随之激增。本研究采用改进的上下文相关数据包络分析法，对印度各邦采用电动汽车的情况进行了分析。我们确定了影响电动汽车和 CI 扩展的关键宏观经济因素，并提供了一个框架，为各邦采取有针对性的政策干预措施提供信息，以优化其电动汽车生态系统的发展。我们的分析表明，拥有较高社会经济指标和全面电动汽车政策的州在电动汽车采用方面表现出色。此外，我们还为表现较差的州提出了一项基准战略，引导它们通过有针对性的基础设施投资提高效率。这种以数据为导向的方法可以为政策制定者提供信息，帮助他们制定有效的战略，加快发展强大的电动汽车生态系统。
{"title":"Context-Dependent evaluation of electric vehicles and charging infrastructure in an emerging economy","authors":"E. Sandhiya, M.S. Gajanand","doi":"10.1016/j.trd.2024.104490","DOIUrl":"10.1016/j.trd.2024.104490","url":null,"abstract":"<div><div>In recent years, the rapid proliferation of economic activities in India is accompanied by a surge in the demand for electric vehicles (EVs) and charging infrastructure development. This study analyses the performance of the EV adoption across the Indian states using a modified context dependent data envelopment analysis. We identify key macroeconomic factors that influence EV and CI expansion and provide a framework for informing targeted policy interventions for states to optimize their EV ecosystem development. Our analysis reveals that states with higher socio-economic indicators and comprehensive EV policies exhibit superior performance in EV adoption. Additionally, we propose a benchmarking strategy for lower performing states, guiding them towards a pathway for efficiency improvement through targeted infrastructure investments. This data-driven approach can inform policymakers in creating effective strategies to accelerate the development of a robust EV ecosystem.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104490"},"PeriodicalIF":7.3,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571332","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}
Pub Date : 2024-11-02DOI: 10.1016/j.trd.2024.104492
Daojun Zhong , Xiaoyu Liu , Muhammand Haroon
This study presents research that examines the use of several remote sensing methods to quantify automobile emissions in China. The research provides a unified data processing technique, using methodologies such as plume chasing (PCH) and point sampling (P-sampling) to measure vehicle emissions accurately. This method accurately calculates the ratios of gaseous combustion, namely NOx/CO2, in different driving scenarios and verifies the technique using controlled vehicle emissions measurements. The results demonstrate the method’s ability to identify variations in emission levels linked to engine operation and alterations in after-treatment systems. This provides significant information for monitoring emissions in metropolitan areas such as Wuhan, China. The suggested method has substantial promise for improving air quality initiatives in China.
{"title":"Revolutionizing urban emission tracking: Enhanced vehicle ratios via remote sensing techniques","authors":"Daojun Zhong , Xiaoyu Liu , Muhammand Haroon","doi":"10.1016/j.trd.2024.104492","DOIUrl":"10.1016/j.trd.2024.104492","url":null,"abstract":"<div><div>This study presents research that examines the use of several remote sensing methods to quantify automobile emissions in China. The research provides a unified data processing technique, using methodologies such as plume chasing (PCH) and point sampling (P-sampling) to measure vehicle emissions accurately. This method accurately calculates the ratios of gaseous combustion, namely NOx/CO2, in different driving scenarios and verifies the technique using controlled vehicle emissions measurements. The results demonstrate the method’s ability to identify variations in emission levels linked to engine operation and alterations in after-treatment systems. This provides significant information for monitoring emissions in metropolitan areas such as Wuhan, China. The suggested method has substantial promise for improving air quality initiatives in China.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104492"},"PeriodicalIF":7.3,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571333","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}
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