作者: Chengxiang Zhuge , Binru Wei , Chunfu Shao , Chunjiao Dong , Meng Meng
DOI: 10.1016/J.JCLEPRO.2019.119479
关键词: Sale price 、 Electric vehicle 、 Micro simulation 、 Environmental economics 、 Business 、 Scale (social sciences) 、 Beijing 、 Electricity 、 Related factors 、 Subsidy
摘要: Abstract Cost-related factors (e.g., subsides) play a vital role in the diffusion of Electric Vehicle (EV). However, it remains unclear how these would influence and further associated urban elements infrastructures) at micro scale. In response, this paper tried to quantify two types cost-related on adoption (EV), namely upfront cost usage-related cost, using purchase subsides fuel prices as examples, respectively. An agent-based integrated micro-simulation model (SelfSim-EV) was used here simulate EV market Beijing might evolve from 2016 2020, within several “what-if” scenarios considering different Plug-in Hybrid (PHEV) subsides, petrol electricity prices. The results suggested that 1) doubling PHEV subsidy make price competitive thus increase sale around zero 2500 2019. increases by 3500 RMB (from 261,000 264,500 RMB) due penetrate rate. This gives rise changes those connected with market, including environment, infrastructure systems, especially disaggregate level; 2) both have little EVs macro level (i.e. city level), but they do spatial distributions CV owners (based analyses their residential locations) geographical vehicular emissions, EV-related facilities charging posts) demand multiple resolutions, ranging facility district level.