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Even though the Demand-Responsive Transport (DRT) service plays an important role to provide more convenience to the disabled people, they still have a challenge to be solved in terms of waiting time. Especially, the biggest problem is that waiting times for using the DRT service are variant across space and time because users cannot predict when they can get the service and/or how long they have to wait for service. This study developed a model for predicting the waiting time of Demand-Responsive Transport for Disabled (DRTD) with irregular spatiotemporal characteristics in real time. The primary purpose of the model developed was to monitor the level of service (LOS) to improve the satisfaction of users who use mobility services for the disabled and efficiently manage service providers. The model was estimated using an Adaptive Neuro-Fuzzy Inference System (ANFIS), which is known to have an excellent predictive performance by combining the advantages of both artificial neural networks and fuzzy inference systems. Four variables, including the number of calls (or requests), the number of vacant vehicles, Medical Infrastructure Concentration Index (MICI), and Disabled Population Concentration Index (DPCI), were used as input variables for the ANFIS-based model. Despite using cross-sectional data, the accuracy of the predicted model was found to be excellent (90%) and showed good and even prediction performance without bias by LOS categories The proposed method is expected to become a monitoring tool to manage mobility services and improve user convenience by notifying users how long they have to wait to use mobility services in real time., Author(s): Seohyeon Park [1]; Sooyeon Park [2]; Hosik Choi [1]; Do-Gyeong Kim (corresponding author) [3] 1. Introduction Demand-Responsive Transport (DRT) for people with disabilities enables passengers to travel safely and [...]

This work not only summarizes the previous doping research that focused on the optimization of a bulk doping composition but also introduces a new doping strategy, namely, "electrochemical reaction mechanism control doping." The new electrochemical mechanism control technology enables the study of the precise deterioration mechanism of layered cathode materials for Li‐ion batteries (LIBs). Accordingly, tremendous efforts have been devoted to the development of various types of layered cathode materials, such as lithium‐rich, nickel‐rich, and cobalt‐rich materials, by using an electrochemical functioning doping method. This progress report also gives a perspective on potential future directions for this field. In this context, detailed methodological approaches are suggested for advanced doping studies, where the consideration of the doping method takes significance as great as designing doping configurations, e.g., chemical composition, doping depth, and doping site control, for the modification of battery material properties. As an instance of the methodological approaches for doping studies, a new "secondary doping" is shown with exemplary experimental results showing that functioning dopants (primary dopants) are homogeneously dispersed on the layered cathode materials by using supporting dopants (secondary dopants). This study will provide insights into the future direction of doping research of LIBs, as well as the history of the development of atomic substitution in layered cathode materials. [ABSTRACT FROM AUTHOR]

All-solid-state Li batteries (ASSBs) promise better performance and higher safety than the current liquid-based Li-ion batteries (LIBs). Sulfide ASSBs have been extensively studied and considerably advanced in recent decades. Research on identifying suitable cathode materials for sulfide ASSBs is currently well established, with great progress being made in the commercialization of layered cathodes in the liquid-based LIBs. Research on anode materials for sulfide ASSBs is of great importance for enhancing the battery energy density. However, it seems that little has been published that summarizes studies of anode materials for sulfide ASSBs and suggests future research directions. Thus, within this Minireview, we aim to provide an overview of previous and current research focused on anode materials for sulfide ASSBs and to suggest a future research direction for developing suitable anode systems for sulfide ASSBs., (© 2022 Wiley-VCH GmbH.)