Do policy incentives drive electric vehicle adoption? Evidence from China

Liu, Xiaoling; Zheng, Hang; Huang, Dongdong

doi:10.1016/j.tra.2021.05.013

Cited by 83 publications

(18 citation statements)

References 14 publications

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“…The study also found that electric buses tend to have longer lifespans than diesel buses, further increasing their cost-effectiveness. Similarly, many studies conducted in China, Sweden, and Colombia found that electric buses have significantly lower fuel and maintenance costs than diesel buses and that electric buses can become more cost-effective than diesel buses within 5-7 years of operation [13][14][15]. However, the study also noted that the higher upfront costs of electric buses may pose a challenge for cities with limited financial resources.…”

Section: Recent Research On Electric Busesmentioning

confidence: 89%

“…(2014) investigated the energy consumption and efficiency of electric buses in cold climates, specifically in Sweden [15] and found that the energy consumption of electric buses was highly influenced by the outside temperature, and that preheating the bus before use could significantly reduce energy consumption. Similarly, many researchers analysed the energy consumption and operating costs of battery electric buses in China [13,14,19]. Those findings showed the energy consumption of electric buses was influenced by several factors, including passenger load, driving cycle, weather conditions, vehicle weight, battery technology, ambient temperature, and passenger load.…”

Section: Recent Research On Electric Busesmentioning

confidence: 99%

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Electrifying School Bus in Hanoi, Vietnam – What are Barriers and Enablers?

Truong,

Nguyen

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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By the end of June 2022, Hanoi has 2,835 schools, nearly 70,200 classes, and more than 2.2 million students. More than one million children ride the bus to school, and 100% of these school buses run on diesel. Diesel exhaust has proven links to serious physical health issues as well as cognitive development impacts. Transitioning to electric school buses from traditional diesel-powered school buses can reduce students’ exposure to harmful pollutants that contribute to respiratory disease, heart disease, cancer and physical problems - and which can harm students’ cognitive development. However, the adoption of electric school buses concerns significant issues relating to the purchasing and operating costs, driving distance and charging systems. Therefore, the possibility of electric school buses remains unknown. The study used documents and semi-structured interviews with students, parents, school vehicle organizers, and bus service providers who involving in the decision-making of electric school bus adoption. The results show that the purchasing and operating cost, the driving distance and charging systems are major concerns and experiences by involved stakeholders are highly context-dependent. Financial and regulatory support from the national government, along with student demand and route characteristics had a significant influence on electric school bus adoption.

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Section: Recent Research On Electric Busesmentioning

confidence: 89%

Section: Recent Research On Electric Busesmentioning

confidence: 99%

Electrifying School Bus in Hanoi, Vietnam – What are Barriers and Enablers?

Truong,

Nguyen

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Emissions and local pollutants may be significantly reduced if transport companies use cargo EVs to transport goods in urban areas. However, these benefits do not seem to translate into reality unless transport operators are willing to use cargo EVs (Liu et al. , 2021, Mehdizadeh and Shariat-Mohaymany, 2021).…”

Section: Introductionmentioning

confidence: 99%

Determinants of carriers' intentions to use electric cargo vehicles in last-mile delivery by extending the technology acceptance model: a case study of Vietnam

Ngoc

Nishiuchi

Nhu

2022

IJLM

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PurposeThis study aimed two objectives: The first objective was to explore carriers' intentions to use cargo electric vehicles (EVs) and the factors influencing these intentions in last-mile delivery (LMD). The other objective was to provide recommendations for policymakers and manufacturers to promote and customize cargo EVs to meet the requirements of carriers in the LMD sector.Design/methodology/approachIn this study the authors constructed a research framework that adjusted and extended the original technology acceptance model (TAM). The proposed model combines eight psychological factors, including attitude, perceived usefulness, perceived ease of use, perceived risk, public engagement, face consciousness, financial incentive policy and carrier intention, in which four factors, namely attitude, perceived usefulness, perceived ease of use and intention, were obtained from the original TAM and the four remaining factors, namely perceived risk, public engagement, face consciousness and financial incentive policy, were added.FindingsThe results showed that psychological factors such as attitude, perceived ease of use, perceived risk, public engagement and face consciousness might affect carriers' intentions to use electric cargo vehicles in LMD service in Vietnamese cities. These results agree with the previous studies and confirm that attitude, perceived ease of use, perceived risk, public engagement and face consciousness might be important for shaping intention to use electric cargo vehicles in emerging markets.Research limitations/implicationsThis study has several limitations, first, the data were collected in Vietnam, a country with weak academic contributions. Therefore, these findings might not be generalizable to other areas. The authors expect to apply the same research framework to other countries to explore the similarities and differences across the countries. Second, the authors conducted the surveys in three cities; except for Hanoi, the other two cities are not really large markets in the LMD service sector. Third, the authors ignored the relationship between the demographic characteristics and electric cargo vehicles. Further studies should address this gap.Practical implicationsBased on the findings, manufacturers should ensure the high-quality performance of electric cargo vehicles in terms of extending driving range and shortening recharging time. Policymakers should develop the roadmaps for electric cargo vehicles, starting from switching from conventional cargo motorcycles to electric motorcycles. In addition, developing public charging infrastructure should be prioritized, which is the fundamental basis for operating electric cargo vehicles. Finally, manufacturers should research and develop a product that would improve the reputation of carriers because carriers with higher face consciousness are more likely to pursue brand-name and high-priced products in order to enhance their reputation.Originality/valueThis study contributes to the literature in two aspects: First, the authors investigated intentions to use electric cargo vehicles in LMD service, which is rare from other studies, and they further identified the psychological determinants of carriers' intentions. Second, the findings increase the knowledge of carriers' intentions and suggest implications for policymakers and manufacturers to promote the adoption of electric cargo vehicles in last-mile deliver service.

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“…Environmental pollution and energy shortage have become one of the most concerned hotspots in the world. Under the background of carbon emissions, China proposed dual carbon plan, develop the new energy industry [1], new energy vehicles become the key to energy conservation and emissions reduction for auto industry in China. Small cars occupy the highest share and turnover on roads in China, and the data show that their emissions of carbon pollution account for 65%-70% of all of the vehicles [2], indicating that it is worthy of research.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Capture and Estimation of Energy-Emission Benefits for Electric Taxicabs with Spatiotemporal Big Data and Deep-Learning-Based Microscopic Model

Chen

Liu

Jia

2022

Advances in Transdisciplinary Engineering

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Reducing carbon emissions to cope with climate change and short of energy have become a global trend, so it is urgent to accurately measure energy consumption and emissions. As taxi occupies the second highest proportion of domestic roads, it is necessary to study the emission of new energy. However, existing studies often consider the whole region, with low accuracy and no true value, resulting in difficult verification of conclusions. This paper proposed a micro-energy consumption and carbon emission model for taxicabs based on trajectory data and deep learning method to dynamically simulate the real-time energy consumption of taxicabs with different energy sources. First, this paper detected the correlation between driving state and energy consumption carbon emission in portable emissions measurement system (PEMS) environment. Then, a deep learning-based framework was built to learn the vehicle’s energy consumption carbon emission pattern. In particular, Gated Recurrent Unit (GRU) neural network is used to learn current and historical driving habits and the influence of external environment on energy consumption, while life cycle assessment (LCA) method is used to obtain the emission patterns of vehicles with different energy types in the whole life cycle. The measured data are obtained in Wuhan, the precision of our model is higher than that of the existing model. At the same time, we also applied it to the taxicab monthly trajectory dataset to obtain the spatial-temporal energy consumption emission patterns of different types of energy. The results show that pure electric vehicle (PEV) has obvious greenhouse gas emission reduction effect, compared with gasoline and compressed natural gas (CNG) vehicles, the emission reduction is 12.03% and 12.07% respectively, but the total energy consumption achieves little advantage. This model will lay a foundation for the formulation of regional road network emission inventory, so as to provide support for the government to make relevant decisions.

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Do policy incentives drive electric vehicle adoption? Evidence from China

Cited by 83 publications

References 14 publications

Electrifying School Bus in Hanoi, Vietnam – What are Barriers and Enablers?

Electrifying School Bus in Hanoi, Vietnam – What are Barriers and Enablers?

Determinants of carriers' intentions to use electric cargo vehicles in last-mile delivery by extending the technology acceptance model: a case study of Vietnam

Dynamic Capture and Estimation of Energy-Emission Benefits for Electric Taxicabs with Spatiotemporal Big Data and Deep-Learning-Based Microscopic Model

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