Abstract
The contradiction between charging stations (CSs) and electric vehicles (EVs) is a “chicken-and-egg” problem. Multiple factors and stakeholders, including the goals of the government's industry planning, CS operators' profits, and EV consumers' charging demand, influence the CS layout. Using multisource open data, this study proposes a time series optimization layout model based on the supply-demand balance by constructing EV customers' urban travel dynamics index and CS adaptability index. The results show that: the supply-demand imbalance is widespread in Shenzhen, a Chinese city. The “mismatch”, “unmatch” and “overmatch” of CSs are prevalent. Addressing this supply-demand imbalance will help reduce consumer concerns regarding “range anxiety”. Facing potential future power supply constraints, the government needs to expand the existing CS development strategy to include battery swap stations (BSs) and mobile charging stations (MCSs).
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
