Hui Hou; Junyi Tang; Bo Zhao; Leiqi Zhang; Yifan Wang; Changjun Xie; Changjun Xie
Harvested from ORCID Public Data FileChangjun Xie in OpenAIREA reasonable plan for charging stations is critical to the widespread use of electric vehicles. In this paper, we propose an optimal planning method for electric vehicle charging stations. First of all, we put forward a forecasting method for the distribution of electric vehicle fast charging demand in urban areas. Next, a new mathematical model that considers the mutual benefit of electric vehicle users and the power grid is set up, aiming to minimize the social cost of charging stations. Then, the model is solved by the Voronoi diagram combined with improved particle swarm optimization. In the end, the proposed method is applied to an urban area, simulation results demonstrate that the proposed method can yield optimal location and capacity of each charging station. A contrasting case is carried out to verify that improved particle swarm optimization is more effective in finding the global optimal solution than particle swarm optimization.
Access Routesgold 16 citations 16 popularity Top 10% influence Top 10% impulse Top 10% 
Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/wevj12040244&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Hui Hou; Junyi Tang; Bo Zhao; Leiqi Zhang; Yifan Wang; Changjun Xie;
Changjun Xie
Harvested from ORCID Public Data FileChangjun Xie in OpenAIREA reasonable plan for charging stations is critical to the widespread use of electric vehicles. In this paper, we propose an optimal planning method for electric vehicle charging stations. First of all, we put forward a forecasting method for the distribution of electric vehicle fast charging demand in urban areas. Next, a new mathematical model that considers the mutual benefit of electric vehicle users and the power grid is set up, aiming to minimize the social cost of charging stations. Then, the model is solved by the Voronoi diagram combined with improved particle swarm optimization. In the end, the proposed method is applied to an urban area, simulation results demonstrate that the proposed method can yield optimal location and capacity of each charging station. A contrasting case is carried out to verify that improved particle swarm optimization is more effective in finding the global optimal solution than particle swarm optimization.
Access Routesgold 16 citations 16 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/wevj12040244&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu The combination of car-sharing and electric vehicles can increase the acceptance of electric vehicles and facilitate car-sharing to be a more sustainable means of transport. However, this also poses more challenges for the good planning of electric car-sharing systems. To assist car-sharing companies in improving the planning decisions, this paper developed an evaluation framework from a comprehensive view. In the first step, four evaluation criteria were identified according to the planning process: construction of stations; routine inspection; vehicle usability and relocation management; and the maintenance and replacement of stations. Then, a combinatorial method based on analytic hierarchy process (AHP), cost-benefit analysis (CBA), and Voronoi diagram (VD) is developed to determine the relative weight of the four criteria and evaluate the alternative. Finally, the evaluation framework was applied in a realistic case of EVCARD, which is the most influential electric car-sharing company in China. The performance of two different operational districts of EVCARD—Jingan and Changning—were compared. The results showed that vehicle usability and relocation management is the greatest criterion influencing the planning performance of the electric car-sharing system in China, and that routine inspection is a negligible but important factor. According to the relative scores, Jiagan District performed better than Changning district.
Access Routesgold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su11205627&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euThe combination of car-sharing and electric vehicles can increase the acceptance of electric vehicles and facilitate car-sharing to be a more sustainable means of transport. However, this also poses more challenges for the good planning of electric car-sharing systems. To assist car-sharing companies in improving the planning decisions, this paper developed an evaluation framework from a comprehensive view. In the first step, four evaluation criteria were identified according to the planning process: construction of stations; routine inspection; vehicle usability and relocation management; and the maintenance and replacement of stations. Then, a combinatorial method based on analytic hierarchy process (AHP), cost-benefit analysis (CBA), and Voronoi diagram (VD) is developed to determine the relative weight of the four criteria and evaluate the alternative. Finally, the evaluation framework was applied in a realistic case of EVCARD, which is the most influential electric car-sharing company in China. The performance of two different operational districts of EVCARD—Jingan and Changning—were compared. The results showed that vehicle usability and relocation management is the greatest criterion influencing the planning performance of the electric car-sharing system in China, and that routine inspection is a negligible but important factor. According to the relative scores, Jiagan District performed better than Changning district.
Access Routesgold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su11205627&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Oleksandr Mytrofanov; Arkadii Proskurin; Andrii Poznanskyi;
Oleksandr Mytrofanov
Harvested from ORCID Public Data FileOleksandr Mytrofanov in OpenAIREA schematic diagram of a transport hybrid power plant using a new design RPE-4.4/1.75 rotary piston air engine is proposed. Its external speed characteristic is determined, according to which the maximum engine power is 8.75 kW at 850 rpm and the maximum torque is 127.54 N∙m at 400 rpm. For various gears and speeds, all the components of the power balance were determined and the dynamic characteristic of the hybrid car was obtained when operated on an air engine. According to the dependences of the power balance, the total traction force from the rotary piston air engine on the driving wheels is 5 kN. The performance of acceleration of a hybrid car while working on an air engine is estimated, namely, the dependences of acceleration, time,and acceleration path are obtained. In urban traffic, the required time to accelerate the car to a speed of 60 km/h is 15.2 s and the path is 173 m. The possible drive range of the hybrid car on compressed air without additional recharging is analyzed. On one cylinder with compressed air with a volume of 100 liters, an initial pressure of 35 MPa, and a final pressure of 2 MPa, the hybrid car can travel about 26 km.
Access Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21307/tp-2021-014&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Oleksandr Mytrofanov; Arkadii Proskurin; Andrii Poznanskyi;
Oleksandr Mytrofanov
Harvested from ORCID Public Data FileOleksandr Mytrofanov in OpenAIREA schematic diagram of a transport hybrid power plant using a new design RPE-4.4/1.75 rotary piston air engine is proposed. Its external speed characteristic is determined, according to which the maximum engine power is 8.75 kW at 850 rpm and the maximum torque is 127.54 N∙m at 400 rpm. For various gears and speeds, all the components of the power balance were determined and the dynamic characteristic of the hybrid car was obtained when operated on an air engine. According to the dependences of the power balance, the total traction force from the rotary piston air engine on the driving wheels is 5 kN. The performance of acceleration of a hybrid car while working on an air engine is estimated, namely, the dependences of acceleration, time,and acceleration path are obtained. In urban traffic, the required time to accelerate the car to a speed of 60 km/h is 15.2 s and the path is 173 m. The possible drive range of the hybrid car on compressed air without additional recharging is analyzed. On one cylinder with compressed air with a volume of 100 liters, an initial pressure of 35 MPa, and a final pressure of 2 MPa, the hybrid car can travel about 26 km.
Access Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21307/tp-2021-014&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu With the popularization of electric vehicles (EVs), the out-of-order charging behaviors of large numbers of EVs will bring new challenges to the safe and economic operation of power systems. This paper studies an optimal charging strategy for EVs. For that a typical urban zone is divided into four regions, a regional time-of-use (RTOU) electricity price model is proposed to guide EVs when and where to charge considering spatial and temporal characteristics. In light of the elastic coefficient, the user response to the RTOU electricity price is analyzed, and also a bilayer optimization charging strategy including regional-layer and node-layer models is suggested to schedule the EVs. On the one hand, the regional layer model is designed to coordinate the EVs located in different time and space. On the other hand, the node layer model is built to schedule the EVs to charge in certain nodes. According to the simulations of an IEEE 33-bus distribution network, the performance of the proposed optimal charging strategy is verified. The results demonstrate that the proposed bilayer optimization strategy can effectively decrease the charging cost of users, mitigate the peak-valley load difference and the network loss. Besides, the RTOU electricity price shows better performance than the time-of-use (TOU) electricity price.
Access Routesgold 10 citations 10 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en9090670&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euWith the popularization of electric vehicles (EVs), the out-of-order charging behaviors of large numbers of EVs will bring new challenges to the safe and economic operation of power systems. This paper studies an optimal charging strategy for EVs. For that a typical urban zone is divided into four regions, a regional time-of-use (RTOU) electricity price model is proposed to guide EVs when and where to charge considering spatial and temporal characteristics. In light of the elastic coefficient, the user response to the RTOU electricity price is analyzed, and also a bilayer optimization charging strategy including regional-layer and node-layer models is suggested to schedule the EVs. On the one hand, the regional layer model is designed to coordinate the EVs located in different time and space. On the other hand, the node layer model is built to schedule the EVs to charge in certain nodes. According to the simulations of an IEEE 33-bus distribution network, the performance of the proposed optimal charging strategy is verified. The results demonstrate that the proposed bilayer optimization strategy can effectively decrease the charging cost of users, mitigate the peak-valley load difference and the network loss. Besides, the RTOU electricity price shows better performance than the time-of-use (TOU) electricity price.
Access Routesgold 10 citations 10 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en9090670&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- M. S. Hossain;
M. S. Hossain
Harvested from ORCID Public Data FileM. S. Hossain in OpenAIRE
Laveet Kumar; Laveet Kumar
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLaveet Kumar in OpenAIRE M. M. Islam; Jeyraj Selvaraj;M. M. Islam
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesM. M. Islam in OpenAIREIn this article, the concept of an electric vehicle (EV) as a sustainable development (SD) is discussed, and the viability of the development of electric vehicles is assessed. This study broadens the conventional definition of sustainable development by incorporating and prioritizing crucial areas of technology, environment, and policy performance. The proposed review studies have summarized the elements that can promote the integration of electric vehicle technology. The innovation of the EV has just become a modern innovation. At the same time, some obstacles, such as policy and lower adoption, are resisting its goals. To overcome this situation, electric cars have to adopt some innovative approaches that can be another path to success. The review result shows that the proposal discusses the technological advancements of electric vehicles worldwide and paves the way for further improvements. The results also mentioned technological development to reduce emissions and help us understand the impact on the environment and health benefits. However, the summary would be advantageous to both scholars and policymakers, as there is a lack of integrative reviews that assess the global demand and development of EVs simultaneously and collectively. This review would provide insight for investors and policymakers to envisage electric mobility.
Access Routesgold 52 citations 52 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1155/2022/3868388&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - M. S. Hossain;
M. S. Hossain
Harvested from ORCID Public Data FileM. S. Hossain in OpenAIRE Laveet Kumar; Laveet Kumar
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLaveet Kumar in OpenAIRE M. M. Islam; Jeyraj Selvaraj;M. M. Islam
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesM. M. Islam in OpenAIREIn this article, the concept of an electric vehicle (EV) as a sustainable development (SD) is discussed, and the viability of the development of electric vehicles is assessed. This study broadens the conventional definition of sustainable development by incorporating and prioritizing crucial areas of technology, environment, and policy performance. The proposed review studies have summarized the elements that can promote the integration of electric vehicle technology. The innovation of the EV has just become a modern innovation. At the same time, some obstacles, such as policy and lower adoption, are resisting its goals. To overcome this situation, electric cars have to adopt some innovative approaches that can be another path to success. The review result shows that the proposal discusses the technological advancements of electric vehicles worldwide and paves the way for further improvements. The results also mentioned technological development to reduce emissions and help us understand the impact on the environment and health benefits. However, the summary would be advantageous to both scholars and policymakers, as there is a lack of integrative reviews that assess the global demand and development of EVs simultaneously and collectively. This review would provide insight for investors and policymakers to envisage electric mobility.
Access Routesgold 52 citations 52 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1155/2022/3868388&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Vitalii Naumov;
Vitalii Naumov
Harvested from ORCID Public Data FileVitalii Naumov in OpenAIRE Olha Shulika; Olha Shulika
Harvested from ORCID Public Data FileOlha Shulika in OpenAIRE Oleksandra Orda; Oleksandra Orda
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesOleksandra Orda in OpenAIRE Hanna Vasiutina; +2 AuthorsHanna Vasiutina
Harvested from ORCID Public Data FileHanna Vasiutina in OpenAIRE Vitalii Naumov; Vitalii Naumov
Harvested from ORCID Public Data FileVitalii Naumov in OpenAIRE Olha Shulika; Olha Shulika
Harvested from ORCID Public Data FileOlha Shulika in OpenAIRE Oleksandra Orda; Oleksandra Orda
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesOleksandra Orda in OpenAIRE Hanna Vasiutina; Hanna Vasiutina
Harvested from ORCID Public Data FileHanna Vasiutina in OpenAIRE Marek Bauer; Marek Bauer
Harvested from ORCID Public Data FileMarek Bauer in OpenAIRE Myroslav Oliskevych; Myroslav Oliskevych
Harvested from ORCID Public Data FileMyroslav Oliskevych in OpenAIREThe concept of sustainable transportation of goods as the primary paradigm for designing contemporary logistics systems assumes the use of energy-efficient and affordable modes of transport in a way that guarantees the most cost-efficient variant of the delivery scheme. That especially applies to road transport deliveries, where the number of alternatives for organizing the transportation process is numerous and the choice of the optimal solution is complicated by the multiple stochastic influences of the environment on the technological processes. In this paper, we contribute to solving the problem of shaping the sustainable delivery schemes by proposing an approach to shape the complete set of alternative transport and technological schemes for packaged cargo delivery by road transport. The developed mathematical model allows estimating the efficiency of each alternative delivery scheme for the given request and chooses the best variant that minimizes the total costs of all participants in the delivery process. The proposed algorithms are implemented in the C# programming language within the frame of a class library for modeling transport delivery processes. A case of transport processes for Delivery Ltd. (Kharkiv, Ukraine) is applied to illustrate the procedure of using the developed approach to choose the optimal transport and technological schemes for long-distance deliveries. As the result of simulating the goods transportation processes, we show the regression models that represent dependencies of the total costs for the implementation of a delivery scheme from the parameters of demand for the transportation of goods. These regression models allow estimating the most efficient delivery schemes based on the functional analysis of the obtained dependencies for the given demand parameters.
Access RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14127283&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Vitalii Naumov;
Vitalii Naumov
Harvested from ORCID Public Data FileVitalii Naumov in OpenAIRE Olha Shulika; Olha Shulika
Harvested from ORCID Public Data FileOlha Shulika in OpenAIRE Oleksandra Orda; Oleksandra Orda
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesOleksandra Orda in OpenAIRE Hanna Vasiutina; +2 AuthorsHanna Vasiutina
Harvested from ORCID Public Data FileHanna Vasiutina in OpenAIRE Vitalii Naumov; Vitalii Naumov
Harvested from ORCID Public Data FileVitalii Naumov in OpenAIRE Olha Shulika; Olha Shulika
Harvested from ORCID Public Data FileOlha Shulika in OpenAIRE Oleksandra Orda; Oleksandra Orda
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesOleksandra Orda in OpenAIRE Hanna Vasiutina; Hanna Vasiutina
Harvested from ORCID Public Data FileHanna Vasiutina in OpenAIRE Marek Bauer; Marek Bauer
Harvested from ORCID Public Data FileMarek Bauer in OpenAIRE Myroslav Oliskevych; Myroslav Oliskevych
Harvested from ORCID Public Data FileMyroslav Oliskevych in OpenAIREThe concept of sustainable transportation of goods as the primary paradigm for designing contemporary logistics systems assumes the use of energy-efficient and affordable modes of transport in a way that guarantees the most cost-efficient variant of the delivery scheme. That especially applies to road transport deliveries, where the number of alternatives for organizing the transportation process is numerous and the choice of the optimal solution is complicated by the multiple stochastic influences of the environment on the technological processes. In this paper, we contribute to solving the problem of shaping the sustainable delivery schemes by proposing an approach to shape the complete set of alternative transport and technological schemes for packaged cargo delivery by road transport. The developed mathematical model allows estimating the efficiency of each alternative delivery scheme for the given request and chooses the best variant that minimizes the total costs of all participants in the delivery process. The proposed algorithms are implemented in the C# programming language within the frame of a class library for modeling transport delivery processes. A case of transport processes for Delivery Ltd. (Kharkiv, Ukraine) is applied to illustrate the procedure of using the developed approach to choose the optimal transport and technological schemes for long-distance deliveries. As the result of simulating the goods transportation processes, we show the regression models that represent dependencies of the total costs for the implementation of a delivery scheme from the parameters of demand for the transportation of goods. These regression models allow estimating the most efficient delivery schemes based on the functional analysis of the obtained dependencies for the given demand parameters.
Access RoutesGreen gold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14127283&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - TINUS PULLES; HONGWEI YANG;
TINUS PULLES
Harvested from ORCID Public Data FileTINUS PULLES in OpenAIREThe annual reporting procedures of the United Nations Framework Convention on Climate Change (UNFCCC) have now produced greenhouse gas (GHG) emission inventories from 40 so-called Annex I countries for 18 years. This article analyses a subset of these data: emissions from road transport. The article compares the reported data with the technical guidance on GHG emission inventories provided by the Intergovernmental Panel on Climate Change (IPCC). The analysis suggests that some countries use the IPCC's default emission factors, whereas other countries use country-specific values. In the case of diesel-fuelled road transport, the estimated emissions appear to be generally comparable between all countries for all years. For CO2 emissions from gasoline-fuelled road transport, the picture is less clear. The results suggest that the default emission factor for CO2 from motor gasoline as provided by the IPCC is about 3-5% too low. Countries that seem to apply this default value might therefore underestimate their emissions by the same percentage. The effect of this possible underestimate on trends is, however, very small. Despite the possible problem with the default emission factor, the quantification of the trend in emissions is only slightly influenced by this. © 2011 Earthscan.
6 citations 6 popularity Top 10% influence Top 10% impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3763/cpol.2009.0056&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - TINUS PULLES; HONGWEI YANG;
TINUS PULLES
Harvested from ORCID Public Data FileTINUS PULLES in OpenAIREThe annual reporting procedures of the United Nations Framework Convention on Climate Change (UNFCCC) have now produced greenhouse gas (GHG) emission inventories from 40 so-called Annex I countries for 18 years. This article analyses a subset of these data: emissions from road transport. The article compares the reported data with the technical guidance on GHG emission inventories provided by the Intergovernmental Panel on Climate Change (IPCC). The analysis suggests that some countries use the IPCC's default emission factors, whereas other countries use country-specific values. In the case of diesel-fuelled road transport, the estimated emissions appear to be generally comparable between all countries for all years. For CO2 emissions from gasoline-fuelled road transport, the picture is less clear. The results suggest that the default emission factor for CO2 from motor gasoline as provided by the IPCC is about 3-5% too low. Countries that seem to apply this default value might therefore underestimate their emissions by the same percentage. The effect of this possible underestimate on trends is, however, very small. Despite the possible problem with the default emission factor, the quantification of the trend in emissions is only slightly influenced by this. © 2011 Earthscan.
6 citations 6 popularity Top 10% influence Top 10% impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3763/cpol.2009.0056&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Neil Cuthill; Mengqiu Cao; Yuqi Liu; Xing Gao; +1 Authors
Mengqiu Cao
Harvested from ORCID Public Data FileMengqiu Cao in OpenAIRENeil Cuthill; Mengqiu Cao; Yuqi Liu; Xing Gao; Yuerong Zhang;Mengqiu Cao
Harvested from ORCID Public Data FileMengqiu Cao in OpenAIREThe pursuit of sustainability has been at the forefront of contemporary planning initiatives. However, most recent research has focused on the environmental and economic aspects of developing sustainable urban environment, whilst largely neglecting the social aspects. Contemporary political thinking in the UK often disregards the potential of the urban infrastructure to improve social equity. The aim of this study was to analyse the impact of transport infrastructure on a variety of social measures, in an empirical and ideologically unbiased fashion, using both quantitative and qualitative methods. We selected “Tramlink” as a case study: a light-rail system in the London Borough of Croydon which began operation in 2000. We used quantitative methods, including advanced spatial statistics, to produce a more detailed analysis of social equity than has been previously published. This acknowledges that determining localised issues can produce more informed and effective policy interventions. Our results demonstrate that the physical properties of transport infrastructure and the non-physical attributes of society, in combination, help to create opportunities for individuals to succeed. We also find that in order to reduce the negative effects of austerity, public money could be more effectively spent if diverted to areas that are most in need which can be highlighted through localised investigations.
Access RoutesGreen gold 46 citations 46 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su11051229&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Neil Cuthill; Mengqiu Cao; Yuqi Liu; Xing Gao; +1 Authors
Mengqiu Cao
Harvested from ORCID Public Data FileMengqiu Cao in OpenAIRENeil Cuthill; Mengqiu Cao; Yuqi Liu; Xing Gao; Yuerong Zhang;Mengqiu Cao
Harvested from ORCID Public Data FileMengqiu Cao in OpenAIREThe pursuit of sustainability has been at the forefront of contemporary planning initiatives. However, most recent research has focused on the environmental and economic aspects of developing sustainable urban environment, whilst largely neglecting the social aspects. Contemporary political thinking in the UK often disregards the potential of the urban infrastructure to improve social equity. The aim of this study was to analyse the impact of transport infrastructure on a variety of social measures, in an empirical and ideologically unbiased fashion, using both quantitative and qualitative methods. We selected “Tramlink” as a case study: a light-rail system in the London Borough of Croydon which began operation in 2000. We used quantitative methods, including advanced spatial statistics, to produce a more detailed analysis of social equity than has been previously published. This acknowledges that determining localised issues can produce more informed and effective policy interventions. Our results demonstrate that the physical properties of transport infrastructure and the non-physical attributes of society, in combination, help to create opportunities for individuals to succeed. We also find that in order to reduce the negative effects of austerity, public money could be more effectively spent if diverted to areas that are most in need which can be highlighted through localised investigations.
Access RoutesGreen gold 46 citations 46 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su11051229&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - ARC| Discovery Early Career Researcher Award - Grant ID: DE170101502 Rui Jiang;
Rui Jiang
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRui Jiang in OpenAIRE Peng Wu; Chengke Wu; Chengke Wu
Harvested from ORCID Public Data FileChengke Wu in OpenAIREThe U.S. is the second largest contributor to carbon emissions in the world, with its road transport sector being one of the most significant emission sources. However, few studies have been conducted on factors influencing the emissions changes for the U.S. from the perspective of passenger and freight transport. This study aimed to evaluate the carbon emissions from the U.S. road passenger and freight transport sectors, using a Logarithmic Mean Divisia Index approach. Emissions from 2008 to 2017 in the U.S. road transport sector were analysed and key findings include: (1) energy intensity and passenger transport intensity are critical for reducing emissions from road passenger transport, and transport structure change is causing a shift in emissions between different passenger transport modes; and (2) the most effective strategies to reduce carbon emissions in the road freight transport sector are to improve energy intensity and reduce freight transport intensity. Several policy recommendations regarding reducing energy and transport intensity are proposed. The results and policy recommendations are expected to provide useful references for policy makers to form carbon emissions reduction strategies for the road transport sector.
Access RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/ijerph19042321&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - ARC| Discovery Early Career Researcher Award - Grant ID: DE170101502 Rui Jiang;
Rui Jiang
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRui Jiang in OpenAIRE Peng Wu; Chengke Wu; Chengke Wu
Harvested from ORCID Public Data FileChengke Wu in OpenAIREThe U.S. is the second largest contributor to carbon emissions in the world, with its road transport sector being one of the most significant emission sources. However, few studies have been conducted on factors influencing the emissions changes for the U.S. from the perspective of passenger and freight transport. This study aimed to evaluate the carbon emissions from the U.S. road passenger and freight transport sectors, using a Logarithmic Mean Divisia Index approach. Emissions from 2008 to 2017 in the U.S. road transport sector were analysed and key findings include: (1) energy intensity and passenger transport intensity are critical for reducing emissions from road passenger transport, and transport structure change is causing a shift in emissions between different passenger transport modes; and (2) the most effective strategies to reduce carbon emissions in the road freight transport sector are to improve energy intensity and reduce freight transport intensity. Several policy recommendations regarding reducing energy and transport intensity are proposed. The results and policy recommendations are expected to provide useful references for policy makers to form carbon emissions reduction strategies for the road transport sector.
Access RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/ijerph19042321&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Benjamin K. Sovacool; Benjamin K. Sovacool; Wokje Abrahamse;
Benjamin K. Sovacool
Harvested from ORCID Public Data FileBenjamin K. Sovacool in OpenAIRE Jingzheng Ren; +1 AuthorsJingzheng Ren
Harvested from ORCID Public Data FileJingzheng Ren in OpenAIRE Benjamin K. Sovacool; Benjamin K. Sovacool; Wokje Abrahamse;Benjamin K. Sovacool
Harvested from ORCID Public Data FileBenjamin K. Sovacool in OpenAIRE Jingzheng Ren; Jingzheng Ren
Harvested from ORCID Public Data FileJingzheng Ren in OpenAIRE Long Zhang; Long Zhang
Harvested from ORCID Public Data FileLong Zhang in OpenAIREChina is a leading global market for electric mobility, inclusive of e-bikes (motorcycles and scooters) as well as electric vehicles (EVs). This paper provides a novel contribution to the field by examining the factors related to willingness of potential Chinese consumers to further adopt EVs. Much of the research to date has focused primarily on consumer perceptions in European countries, or within particular cities or urban provinces of China. Given that China also is the largest greenhouse gas emitter in the world, and that transportation is growing in its contribution to China’s national carbon footprint, the potential for larger scale uptake of EVs by Chinese consumers is an important area of research. We therefore utilize a survey instrument among a fairly large national sample (805 respondents across all Chinese provinces) to solicit perceptions of Chinese consumers about their willingness to adopt EVs, and the importance of different types of motivations, controlling for socio-demographic variables. Using descriptive statistics as well as multivariate analysis and principal component analysis, we find that willingness to adopt EVs is associated with performance features of electric vehicles, the perceived benefits of driving an electric vehicle and policy support for the promotion of electric vehicles. We conclude by elaborating on the implications of our findings, namely insights for car dealerships and sales personnel, automotive manufacturers, local and national planners, and users and adopters.
Access RoutesGreen bronze 98 citations 98 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.tra.2019.03.002&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Benjamin K. Sovacool; Benjamin K. Sovacool; Wokje Abrahamse;
Benjamin K. Sovacool
Harvested from ORCID Public Data FileBenjamin K. Sovacool in OpenAIRE Jingzheng Ren; +1 AuthorsJingzheng Ren
Harvested from ORCID Public Data FileJingzheng Ren in OpenAIRE Benjamin K. Sovacool; Benjamin K. Sovacool; Wokje Abrahamse;Benjamin K. Sovacool
Harvested from ORCID Public Data FileBenjamin K. Sovacool in OpenAIRE Jingzheng Ren; Jingzheng Ren
Harvested from ORCID Public Data FileJingzheng Ren in OpenAIRE Long Zhang; Long Zhang
Harvested from ORCID Public Data FileLong Zhang in OpenAIREChina is a leading global market for electric mobility, inclusive of e-bikes (motorcycles and scooters) as well as electric vehicles (EVs). This paper provides a novel contribution to the field by examining the factors related to willingness of potential Chinese consumers to further adopt EVs. Much of the research to date has focused primarily on consumer perceptions in European countries, or within particular cities or urban provinces of China. Given that China also is the largest greenhouse gas emitter in the world, and that transportation is growing in its contribution to China’s national carbon footprint, the potential for larger scale uptake of EVs by Chinese consumers is an important area of research. We therefore utilize a survey instrument among a fairly large national sample (805 respondents across all Chinese provinces) to solicit perceptions of Chinese consumers about their willingness to adopt EVs, and the importance of different types of motivations, controlling for socio-demographic variables. Using descriptive statistics as well as multivariate analysis and principal component analysis, we find that willingness to adopt EVs is associated with performance features of electric vehicles, the perceived benefits of driving an electric vehicle and policy support for the promotion of electric vehicles. We conclude by elaborating on the implications of our findings, namely insights for car dealerships and sales personnel, automotive manufacturers, local and national planners, and users and adopters.
Access RoutesGreen bronze 98 citations 98 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.tra.2019.03.002&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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