Pub Date : 2024-12-01DOI: 10.1016/j.trd.2024.104533
Aquilan Robson de Sousa Sampaio , David Gabriel de Barros Franco , Joel Carlos Zukowski Junior , Arlenes Buzatto Delabary Spada
Meeting climate targets requires robust carbon reduction strategies, particularly in the context of road transportation. This study presents a predictive model that integrates CO2 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 CO2 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.
{"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}
Pub Date : 2024-11-29DOI: 10.1016/j.trd.2024.104513
Malcolm Morgan , Zia Wadud , Sally Cairns
We analyse UK airport origin–destination data from 1990 to 2021 to understand the extent to which a modal shift to rail may reduce aviation emissions. We find that 41 % of UK aviation passengers travel on routes that can be done by rail in less than 24 h. However, these passengers account for only 14 % of UK aviation emissions because long-haul flights contribute the majority of emissions. Some popular destinations (e.g. Spanish Islands) are inaccessible by rail and may be suitable for destination switching. We also find rapid growth in flights to international hub airports used for connecting journeys. This has implications for carbon accounting, suggesting that a significant and growing proportion of UK residents’ aviation emissions are being excluded from national accounts. Finally, the paper recommends some interventions that might encourage a modal shift to rail.
{"title":"Can rail reduce British aviation emissions?","authors":"Malcolm Morgan , Zia Wadud , Sally Cairns","doi":"10.1016/j.trd.2024.104513","DOIUrl":"10.1016/j.trd.2024.104513","url":null,"abstract":"<div><div>We analyse UK airport origin–destination data from 1990 to 2021 to understand the extent to which a modal shift to rail may reduce aviation emissions. We find that 41 % of UK aviation passengers travel on routes that can be done by rail in less than 24 h. However, these passengers account for only 14 % of UK aviation emissions because long-haul flights contribute the majority of emissions. Some popular destinations (e.g. Spanish Islands) are inaccessible by rail and may be suitable for destination switching. We also find rapid growth in flights to international hub airports used for connecting journeys. This has implications for carbon accounting, suggesting that a significant and growing proportion of UK residents’ aviation emissions are being excluded from national accounts. Finally, the paper recommends some interventions that might encourage a modal shift to rail.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104513"},"PeriodicalIF":7.3,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748129","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}
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.
{"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}
Pub Date : 2024-11-28DOI: 10.1016/j.trd.2024.104511
Elena Romero , Manuel Chica , Roberto Rivas Hermann , Sergio Damas
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.
{"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}
Pub Date : 2024-11-26DOI: 10.1016/j.trd.2024.104521
Heng Zhou , Jiale Qiao , Kunbo Shi , Qian Sun Chayn , Zhigang Yao , Richard Norman
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.
{"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}
Pub Date : 2024-11-25DOI: 10.1016/j.trd.2024.104523
Rui Zhou, Yang Yu, Zi Wang, Luheng Ke, Jin Zhao
The integration of shared mobility services, such as bike-sharing and ride-hailing services, with metro systems enhances the effectiveness and convenience of urban mobility. Various transportation modes significantly impact the accessibility and equity of commercial travel for the purpose of shopping, entertainment, tourism, and catering, due to the diversity of options, destinations, and origins. This study, based on the primary urban regions of Chengdu in 2023, employs the Gaussian two-step floating catchment area model, Gini Index, and Lorenz curve to examine the effects of shared mobility on the accessibility pattern and spatial equity of commercial services. It shows that the bike-sharing-metro travel mode enhances overall commercial accessibility, whereas the ride-hailing-metro travel mode has a substantial impact on accessibility distribution. Additionally, the commercial accessibility distribution pertains to the arrangement of commercial establishments in short-distance travel, whereas it exhibits a central hub and peripheral locations for long-distance travel. While the equity of commercial services improves effectively, metro transportation remains situated at the core of the transportation mode. The creation of the metro transit-oriented development should thoroughly assess the impact of shared mobility on the station area and prioritize the equilibrium between urban commercial and residential sectors.
{"title":"How does shared mobility impact metro-based urban commercial travel accessibility and Equity?","authors":"Rui Zhou, Yang Yu, Zi Wang, Luheng Ke, Jin Zhao","doi":"10.1016/j.trd.2024.104523","DOIUrl":"10.1016/j.trd.2024.104523","url":null,"abstract":"<div><div>The integration of shared mobility services, such as bike-sharing and ride-hailing services, with metro systems enhances the effectiveness and convenience of urban mobility. Various transportation modes significantly impact the accessibility and equity of commercial travel for the purpose of shopping, entertainment, tourism, and catering, due to the diversity of options, destinations, and origins. This study, based on the primary urban regions of Chengdu in 2023, employs the Gaussian two-step floating catchment area model, Gini Index, and Lorenz curve to examine the effects of shared mobility on the accessibility pattern and spatial equity of commercial services. It shows that the bike-sharing-metro travel mode enhances overall commercial accessibility, whereas the ride-hailing-metro travel mode has a substantial impact on accessibility distribution. Additionally, the commercial accessibility distribution pertains to the arrangement of commercial establishments in short-distance travel, whereas it exhibits a central hub and peripheral locations for long-distance travel. While the equity of commercial services improves effectively, metro transportation remains situated at the core of the transportation mode. The creation of the metro transit-oriented development should thoroughly assess the impact of shared mobility on the station area and prioritize the equilibrium between urban commercial and residential sectors.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104523"},"PeriodicalIF":7.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721565","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 : 2024-11-24DOI: 10.1016/j.trd.2024.104519
Alexander Bigazzi , Amir Hassanpour , Emily Bardutz
This study investigates the travel behaviour and greenhouse gas (GHG) impacts of an electric bicycle (e-bike) purchase incentive program in Saanich, British Columbia, Canada, which distributed purchase rebates in three tiers conditioned on household income. A panel of 402 study participants (including a control group) was surveyed in three waves. We find that 23 % to 76 % would not have purchased an e-bike without the rebate, increasing with rebate amount, and that the purchased e-bikes were used regularly. Larger, income-conditioned incentives were associated with higher pre-purchase automobile use and consequently greater post-purchase automobile travel reduction. The incentive recipients reduced their GHG from travel by an average of 16 kg CO2e per week one year after purchase, greater for the larger, income-conditioned incentives. The marginal and non-marginal GHG abatement costs were CA$722 and CA$190 per tonne CO2e, respectively, which is cost-competitive with other types of transportation subsidies, but not the international carbon market.
{"title":"Travel behaviour and greenhouse gas impacts of income-conditioned e-bike purchase incentives","authors":"Alexander Bigazzi , Amir Hassanpour , Emily Bardutz","doi":"10.1016/j.trd.2024.104519","DOIUrl":"10.1016/j.trd.2024.104519","url":null,"abstract":"<div><div>This study investigates the travel behaviour and greenhouse gas (GHG) impacts of an electric bicycle (e-bike) purchase incentive program in Saanich, British Columbia, Canada, which distributed purchase rebates in three tiers conditioned on household income. A panel of 402 study participants (including a control group) was surveyed in three waves. We find that 23 % to 76 % would not have purchased an e-bike without the rebate, increasing with rebate amount, and that the purchased e-bikes were used regularly. Larger, income-conditioned incentives were associated with higher pre-purchase automobile use and consequently greater post-purchase automobile travel reduction. The incentive recipients reduced their GHG from travel by an average of 16 kg CO<sub>2</sub>e per week one year after purchase, greater for the larger, income-conditioned incentives. The marginal and non-marginal GHG abatement costs were CA$722 and CA$190 per tonne CO<sub>2</sub>e, respectively, which is cost-competitive with other types of transportation subsidies, but not the international carbon market.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104519"},"PeriodicalIF":7.3,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721567","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 : 2024-11-23DOI: 10.1016/j.trd.2024.104488
Ariane Wenger , Anna Schreuer , Susann Görlinger , Nicole Aeschbach , Eva Fleiß , Agnes S. Kreil , Caroline Merrem , Alfred Posch , Michael Stauffacher , Annina Thaller
Reducing emissions from air travel has become an important goal of academic institutions and conferences are a major reason for researchers’ air travel. We conducted separate surveys with researchers at 17 academic institutions in Switzerland, Austria and Germany to examine perceptions of conference air travel and to assess opportunities for its reduction. The results indicate that air travel is deeply embedded in academia through cognitive norms and established conference practices. Although researchers stated that conferences serve important career purposes, such as networking, they acknowledge the importance of reducing air travel. The COVID-19 pandemic served as a window of opportunity to reduce air travel by switching to virtual conferences. Researchers stated that virtual conferences come with both benefits and challenges. Using the transport cultures framework, we identify opportunities for behavioural change and provide concrete recommendations for reducing conference air travel based on long-term changes in practices, material cultures, cognitive norms and policies.
{"title":"Conference air travel’s relevance and ways to reduce it","authors":"Ariane Wenger , Anna Schreuer , Susann Görlinger , Nicole Aeschbach , Eva Fleiß , Agnes S. Kreil , Caroline Merrem , Alfred Posch , Michael Stauffacher , Annina Thaller","doi":"10.1016/j.trd.2024.104488","DOIUrl":"10.1016/j.trd.2024.104488","url":null,"abstract":"<div><div>Reducing emissions from air travel has become an important goal of academic institutions and conferences are a major reason for researchers’ air travel. We conducted separate surveys with researchers at 17 academic institutions in Switzerland, Austria and Germany to examine perceptions of conference air travel and to assess opportunities for its reduction. The results indicate that air travel is deeply embedded in academia through cognitive norms and established conference practices. Although researchers stated that conferences serve important career purposes, such as networking, they acknowledge the importance of reducing air travel. The COVID-19 pandemic served as a window of opportunity to reduce air travel by switching to virtual conferences. Researchers stated that virtual conferences come with both benefits and challenges. Using the transport cultures framework, we identify opportunities for behavioural change and provide concrete recommendations for reducing conference air travel based on long-term changes in practices, material cultures, cognitive norms and policies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104488"},"PeriodicalIF":7.3,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721564","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 : 2024-11-23DOI: 10.1016/j.trd.2024.104520
Shaoli He , Xianhua Wu , Jun Wang , Yumeng Lu
Shipping emission inventory is the basis of regional air pollution assessments and pollution prevention and control policies. The accuracy depends to a large extent on the calculation results of every single ship based on AIS. This paper establishes a regional stratified sampling emission model based on the emission calculation of every single ship to improve the efficiency and precision of regional shipping emission inventory preparation. It performs calculations according to waterway characteristics, ship types and main engine power. The key findings of this paper include (1) the fast algorithm calculates exhaust emissions using complete ship information, helping reduce the uncertainty caused by the absence of single ship parameters during estimation, (2) when the ship sampling ratio is not lower than 1/3, the relative error of emission results is less than 3% and (3) the preparation of shipping emission inventory using the fast algorithm significantly improves the calculation efficiency and accuracy.
{"title":"Shipping emission inventory preparation with AIS data: A stratified random sampling method","authors":"Shaoli He , Xianhua Wu , Jun Wang , Yumeng Lu","doi":"10.1016/j.trd.2024.104520","DOIUrl":"10.1016/j.trd.2024.104520","url":null,"abstract":"<div><div>Shipping emission inventory is the basis of regional air pollution assessments and pollution prevention and control policies. The accuracy depends to a large extent on the calculation results of every single ship based on AIS. This paper establishes a regional stratified sampling emission model based on the emission calculation of every single ship to improve the efficiency and precision of regional shipping emission inventory preparation. It performs calculations according to waterway characteristics, ship types and main engine power. The key findings of this paper include (1) the fast algorithm calculates exhaust emissions using complete ship information, helping reduce the uncertainty caused by the absence of single ship parameters during estimation, (2) when the ship sampling ratio is not lower than 1/3, the relative error of emission results is less than 3% and (3) the preparation of shipping emission inventory using the fast algorithm significantly improves the calculation efficiency and accuracy.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104520"},"PeriodicalIF":7.3,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721530","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}