A spatial agent-based joint model of electric vehicle and vehicle-to-grid adoption: A case of Beijing

Research on the Diffusion Model of Electric Vehicle Quantity Considering Individual Choice

“…Each user is closely connected to related groups such as colleagues, relatives, and neighbors through different channels. When making choices, users are influenced by other social members adjacent to them [19,20]. That is to say, for a particular user, when purchasing different types of cars, whether to choose an electric car or a gasoline car will be affected by neighboring social individuals.…”

“…The solution process of the EV quantity diffusion model is shown in Figure 4, where "n" represents the nth user and "y" represents the year. In the algorithm process, first input the relevant parameter information of the user, calculate the economic utility, cognitive attitude, and social utility of each user based on the aforementioned method, and obtain the probability of the user's purchase of EVs or PdVs through Equations ( 18) and (19). Then, the number of electric vehicles in the system is counted, and the EV scale evolution model is obtained.…”

Factors Influencing Adoption Intention for Electric Vehicles under a Subsidy Deduction: From Different City-Level Perspectives

“…Shi et al [45] suggested that consumers in Weihai, Chinese Shandong, had a low adoption intention for EVs, due to the main restrictive factors such as price, cruising range, supporting facility, technical maturity and so on. Zhang et al [10] recently investigated the perceptions and adoption intentions of residents in 10 pilot cities in China from an informational perspective, while Liu et al [19] studied the diffusion of EVs using only Beijing as a case study.…”

“…tention for EVs was limited to consumers in metropolises, provincial capitals, or pilot cities, such as Beijing, Shanghai, Guangzhou, Shenzhen, and Tianjin [17][18][19]. Helveston et al [20]) conducted a comparative analysis of adoption intentions in Beijing, Shanghai, Shenzhen, Chengdu, and American cities; however, the existing studies still have some deficiencies.…”

“…He et al [3] conducted an in-depth study and found that the effect of environmental concern on EVs adoption behavior was quantitatively determined. Previous research on the adoption intention for EVs was limited to consumers in metropolises, provincial capitals, or pilot cities, such as Beijing, Shanghai, Guangzhou, Shenzhen, and Tianjin [17][18][19]. Helveston et al [20]) conducted a comparative analysis of adoption intentions in Beijing, Shanghai, Shenzhen, Chengdu, and American cities; however, the existing studies still have some deficiencies.…”