{"DOI":"10.1186/s12544-022-00560-3","abstract":"AbstractThe accelerated electrification of transport systems with EVs has brought new challenges for charging scheduling, fleet management, and charging infrastructure location and configuration planning. In this review, we have provided a systematic review of the recent development in strategic, tactical, and operational decisions for demand responsive transport system planning using electric vehicles (EV-DRT). We have summarized recent developments in mathematical modeling approaches by focusing on the problems of dynamic EV-DRT optimization, fleet sizing, and charging infrastructure planning. A list of existing open-access datasets, numerical test instances, and software are provided for future research in EV-DRT and related problems. Current research gaps are identified and future research directions are discussed.","author":[{"family":"Ma","given":"Tai-Yu"},{"family":"Fang","given":"Yumeng"}],"id":"unknown","issued":{"date-parts":[[2022,8,8]]},"language":"en","publisher":"Springer Science and Business Media LLC","title":"Survey of charging management and infrastructure planning for electrified demand-responsive transport systems: Methodologies and recent developments","type":"article-journal","volume":"14"}