This project aims to develop a planning model for an EV charging infrastructure based on trip trajectories and Point of Interest (POI) density, using a combined method of optimization algorithms and spatial econometric models., to develop a year-by-year plan for establishing charging stations (CSs) in Hong Kong in the coming 5 years. By first predicting the expected growth in EVs number in HK in the next 5 years and making use of the existing survey data, people’s travel behaviors and trajectories of EVs and the traffic flows per road will be presented by models and the charging demand will be estimated in detailed spatial and temporal scales. The EV charge waiting time will also be estimated to determine the allocation of CSs to the assigned parking lots. This project will help adjust CSs allocation conditioned by HK’s policy regulations by predicting determinants such as the maximum number of charging posts per charging station and the maximum charging power, etc. Research Grants Amount Awarded: US$500,000 in December 2022 Funding Agency: CLP Research Fellowship, CLP Group 4 EV Charging Infrastructure Planning Based on an Integrated Model of Optimization Algorithms and Spatial-Temporal Analysis The proliferation of complex socioeconomic problems in contemporary societies requires innovative policy solutions. No innovation of significant magnitude is possible without ‘champions’ who energetically promote its introduction and diffusion. This project investigates how mid-level technocrats—who are traditionally described as mere implementers of dictated policies—drive local social welfare innovations in China. While China’s dynamic policy experimentation and local innovations have been widely documented in the literature, there is a paucity of knowledge on the role played by technocrats at the middle and lower echelon of the bureaucracy. Through a compound comparative case studies design, this project intends to elucidate the unique role played by mid-level technocrats in social welfare innovations in China, their motivations, entrepreneurial strategies, processes, and outcomes. Among the top 2% of the most cited scientists by Stanford University, Prof. He is ranked 823 out of 26,717 in the field of Political Science and Public Administration with a C Score of 2.7 (composite indicator for single-year Impact). The C-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). Also. The C-scores are self-citations excluded. URL: https:// elsevier.digitalcommonsdata.com/datasets/btchxktzyw/4 *This project is rated 5.0 full score by RGC Technocrats and Mid-Level Policy Entrepreneurship in China: Explaining Local Policy Innovations in the Social Welfare Arena* PROJECT Amount Awarded: HK$ 527,051 in December 2022 Funding Agency: RGC - General Research Fund 中國大陸的技術官僚與中層政策企業家： 解釋社會福利領域的地方政策創新* Principal Investigator: Prof. Alex HE Principal Investigator: Prof. Pengyu ZHU PROJECT
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