• Energy Research

Abstract To overcome the environmental side effects of over-utilizing fossil fuels and road traffic emissions, Alternative Fuel Vehicles (AFVs) are alternative power engines. However, as AFVs have not yet penetrated the automotive market in Iran, using the choice experiment model, this study considers the heterogeneous preference for Electric Vehicles (EVs) in four megacities of Iran. Therefore, 1000 respondents are interviewed and are asked to choose their preferred vehicle between hybrid electric vehicles (HEVs), battery electric vehicles (BEVs), and internal combustion engine vehicles. Furthermore, this study contributes to the literature by employing the Policoric correlation matrix, not Pearson, to investigate the influence of psychological factors besides the macro, micro, and product factors in adopting Evs. The latent class and mixed logit model reveal the monetary factors negatively affected consumers' willingness to pay for HEVs and BEVs. In contrast, the charging availability and non-monetary policies are positively connected to the acceptance rate of BEVs, While risk-aversion and normative-face perspectives reduce it. Furthermore, the class membership variable shows that the younger tend to purchase HEVs, and high-income groups are the most significant potential buyers of HEVs and BEVs. Therefore, the younger and high-income groups could be considered the target group in Iran's early penetrating EVs.

Abstract To overcome the environmental side effects of over-utilizing fossil fuels and road traffic emissions, Alternative Fuel Vehicles (AFVs) are alternative power engines. However, as AFVs have not yet penetrated the automotive market in Iran, using the choice experiment model, this study considers the heterogeneous preference for Electric Vehicles (EVs) in four megacities of Iran. Therefore, 1000 respondents are interviewed and are asked to choose their preferred vehicle between hybrid electric vehicles (HEVs), battery electric vehicles (BEVs), and internal combustion engine vehicles. Furthermore, this study contributes to the literature by employing the Policoric correlation matrix, not Pearson, to investigate the influence of psychological factors besides the macro, micro, and product factors in adopting Evs. The latent class and mixed logit model reveal the monetary factors negatively affected consumers' willingness to pay for HEVs and BEVs. In contrast, the charging availability and non-monetary policies are positively connected to the acceptance rate of BEVs, While risk-aversion and normative-face perspectives reduce it. Furthermore, the class membership variable shows that the younger tend to purchase HEVs, and high-income groups are the most significant potential buyers of HEVs and BEVs. Therefore, the younger and high-income groups could be considered the target group in Iran's early penetrating EVs.

On the path to carbon neutrality by 2050, the expansion and improvement of high-voltage power transmission lines (HV-PTL) is a critical and unavoidable energy issue that may become a potential source of public conflict. However, the discussion on this issue in South Korea has been insufficient. In this study, we analyzed public attitudes toward HV-PTLs and classified people into subgroups based on their common characteristics using latent class models. In addition, we used the contingent valuation method to estimate the public's willingness to pay (WTP) for the conversion of overhead lines to underground cables, focusing on the differences among the identified subgroups. According to the empirical analysis, people in South Korea can be divided into four classes based on their perceived need for resident participation in the decision-making process, perceived health risk, and perceived property loss risk. According to the WTP analysis using the spike model, the estimated mean and median WTP values were KRW 4184 (USD 3.8) and KRW 2632 (USD 2.4) per household per month, respectively. In addition, we found a significant difference in WTP by class. Those who perceived HV-PTL as risky were less willing to pay for undergrounding projects compared with those whose perceived risk was relatively low. This study contributes to the understanding of academics and policymakers on the relationship between public attitudes toward HV-PTL and overhead to underground conversion.

On the path to carbon neutrality by 2050, the expansion and improvement of high-voltage power transmission lines (HV-PTL) is a critical and unavoidable energy issue that may become a potential source of public conflict. However, the discussion on this issue in South Korea has been insufficient. In this study, we analyzed public attitudes toward HV-PTLs and classified people into subgroups based on their common characteristics using latent class models. In addition, we used the contingent valuation method to estimate the public's willingness to pay (WTP) for the conversion of overhead lines to underground cables, focusing on the differences among the identified subgroups. According to the empirical analysis, people in South Korea can be divided into four classes based on their perceived need for resident participation in the decision-making process, perceived health risk, and perceived property loss risk. According to the WTP analysis using the spike model, the estimated mean and median WTP values were KRW 4184 (USD 3.8) and KRW 2632 (USD 2.4) per household per month, respectively. In addition, we found a significant difference in WTP by class. Those who perceived HV-PTL as risky were less willing to pay for undergrounding projects compared with those whose perceived risk was relatively low. This study contributes to the understanding of academics and policymakers on the relationship between public attitudes toward HV-PTL and overhead to underground conversion.

This study analyzes different attitudes toward introduction of smart policing technologies in cybercrime policing among the Korean public and police. Policing is essential for a sustainable community. Technological advances in policing have both positive and negative aspects, making it essential to investigate perceptions of both public and police when introducing smart policing technologies. A discrete choice experiment was undertaken to survey preferences of the public and police toward introduction of such technologies and conduct simulation analysis to compare changes in the acceptance of various scenarios. The study divides cybercrime policing into prevention and investigation. The sample included 500 members of the public and 161 police officers. The results show that the public thinks an increase in yearly taxes and invasion of privacy are the most important factors. Conversely, the police think factors enhancing the efficiency of policing are most important. Moreover, when smart policing technologies are introduced, the public and police perceive more utility in the prevention and investigation of cybercrime, respectively. Few studies in this field separate the prevention and investigation of crimes, or compare perceptions of the public and police toward the introduction of smart policing technologies. This study’s quantitative analysis provides insights lacking in previous literature.

This study analyzes different attitudes toward introduction of smart policing technologies in cybercrime policing among the Korean public and police. Policing is essential for a sustainable community. Technological advances in policing have both positive and negative aspects, making it essential to investigate perceptions of both public and police when introducing smart policing technologies. A discrete choice experiment was undertaken to survey preferences of the public and police toward introduction of such technologies and conduct simulation analysis to compare changes in the acceptance of various scenarios. The study divides cybercrime policing into prevention and investigation. The sample included 500 members of the public and 161 police officers. The results show that the public thinks an increase in yearly taxes and invasion of privacy are the most important factors. Conversely, the police think factors enhancing the efficiency of policing are most important. Moreover, when smart policing technologies are introduced, the public and police perceive more utility in the prevention and investigation of cybercrime, respectively. Few studies in this field separate the prevention and investigation of crimes, or compare perceptions of the public and police toward the introduction of smart policing technologies. This study’s quantitative analysis provides insights lacking in previous literature.

Abstract Quantifying environmental benefits from battery electric vehicles (BEVs) requires an understanding of the long-term substitutional relationships among different vehicle technologies. This study analyzes how BEV promotion can contribute to reductions in particulate matter (PM) emissions in Korea and investigates effective long-term policy options. Using a choice model, this study simulates consumers’ vehicle replacement behavior under various policy scenarios from 2018 to 2025. The results show that BEV promotion alone has limited effectiveness at reducing PM emissions because BEV purchases were predominantly made by gasoline vehicle owners while diesel vehicles are the key source of emissions. This finding is significant because investment in BEV promotion in Korea specifies PM emissions reductions as their core objective and legal basis. Investigation of additional policy options suggests that the combination of direct regulations on diesel vehicles and a targeted rebate to promote substitution between diesel vehicles and BEVs can reduce PM emissions by ~13%.

Abstract Quantifying environmental benefits from battery electric vehicles (BEVs) requires an understanding of the long-term substitutional relationships among different vehicle technologies. This study analyzes how BEV promotion can contribute to reductions in particulate matter (PM) emissions in Korea and investigates effective long-term policy options. Using a choice model, this study simulates consumers’ vehicle replacement behavior under various policy scenarios from 2018 to 2025. The results show that BEV promotion alone has limited effectiveness at reducing PM emissions because BEV purchases were predominantly made by gasoline vehicle owners while diesel vehicles are the key source of emissions. This finding is significant because investment in BEV promotion in Korea specifies PM emissions reductions as their core objective and legal basis. Investigation of additional policy options suggests that the combination of direct regulations on diesel vehicles and a targeted rebate to promote substitution between diesel vehicles and BEVs can reduce PM emissions by ~13%.

Abstract Battery electric vehicles (BEVs) are gaining much attention as the next technology paradigm in the transport sector because it can mitigate the environmental problems, such as greenhouse gas (GHG) emissions, of conventional internal combustion engine vehicles. Many countries are attempting to promote the consumer adoption of BEVs in this sense by providing subsidies and expanding their related infrastructure. The expected environmental effect of BEVs is an important factor in increasing the consumer adoption of BEVs, and the environmental impact of BEVs is directly related to the electricity generation mix. In this study, we analyze how the consumer adoption behavior of BEVs and their environmental impact can be changed by improving the environmental performance of BEVs based on the electricity generation mix. To this end, we estimate consumer preferences in vehicles by using a discrete choice experiment survey and a mixed logit model. Then, on the basis of the estimation results, we simulate changes in consumers’ vehicle adoption behavior according to various electricity generation mixes and measure the environmental impact of these changes. Analysis results show changing the electricity generation mix to renewable-oriented mix can promote BEV's market share up to 10% and reduce GHG emissions up to 5% by 2026.