个人简介

诸葛承祥，助理教授、博士生导师，拥有英国剑桥大学地理和北京交通大学交通运输规划与管理双博士学位。先后在英国帝国理工大学任副研究员、东安格利亚大学任高级副研究员。

以第一/通讯作者身份，已发表SCI/SSCI论文30余篇（中科院1区论文10篇），以第一作者出版专著1部；获得2项发明专利；担任国际期刊Smart Construction and Sustainable Cities编委；受邀担任荷兰科学研究组织基金评审人。

近年来，围绕“电动汽车用户行为和设施布局”展开了系列研究，利用跨学科的知识，结合复杂性科学、数据科学和地理科学理论，从微观个体的视角，系统地探究交通电气化相关的技术、设施和政策问题。研究得到了多个科研基金和奖学金的资助，包括英国剑桥大学的Charter Studentship以及国家自然科学基金。

代表性科研课题

1.内在关联的出行和家庭低碳行为：能源、气候、社会和设施影响(P0042828), 香港理工大学, 2022-2025年，主持，在研

2.交通电气化设施智能规划(P0041230), 香港理工大学, 2022-2024年，主持，在研

3.电动汽车入网技术用户使用意愿分析和建模(52002345), 国家自然科学基金青年基金项目, 2021-2023年，主持，在研

代表论文及著作

1.Wang S, Zhuge C*, Shao C, Wang P, Yang X, Wang S. Short-term electric vehicle charging demand prediction: A deep learning approach[J]. Applied Energy, 2023, 340:121032.

2.Wang S, Li Y, Chen A, Zhuge C*. Electrification of a citywide bus network: A data-driven micro-simulation approach[J]. Transportation Research Part D: Transport and Environment, 2023, 116:103644.

3.Wang S, Chen A, Wang P, Zhuge C*. Short-term electric vehicle battery swapping demand prediction: Deep learning methods[J]. Transportation Research Part D: Transport and Environment, 2023, 119:103746.

4.Sun M, Shao C, Zhuge C*, Wang P, Yang X, Wang S. Uncovering travel and charging patterns of private electric vehicles with trajectory data: evidence and policy implications[J]. Transportation, 2022, 49: 1409–1439.

5.Yang X, Zhuge C*, Shao C, Huang Y, Tang JH, Sun M, Wang P, Wang S. Characterizing mobility patterns of private electric vehicle users with trajectory data[J]. Applied Energy, 2022, 321:119417.

6.Wang S, Shao C, Zhuge C*, Sun M, Wang P, Yang X. Deploying battery swap stations for electric freight vehicles based on trajectory data analysis[J]. IEEE Transactions on Transportation Electrification, 2022, 8(3):3782-800.

7.Liu J, Zhuge C*, Tang JH, Meng M, Zhang J. A spatial agent-based joint model of electric vehicle and vehicle-to-grid adoption: A case of Beijing[J]. Applied Energy, 2022, 310:118581.

8.Sun M, Shao C, Zhuge C*, Wang P, Yang X, Wang S. Exploring the potential of rental electric vehicles for vehicle-to-grid: A data-driven approach[J]. Resources, Conservation and Recycling, 2021, 175:105841.

9.Zhuge C*, Dong C, Wei B, Shao C. Exploring the role of technology innovations in the diffusion of electric vehicle with an agent-based spatial integrated model[J]. Resources, Conservation and Recycling, 2021, 174:105806.

10.Yang X, Shao C, Zhuge C*, Sun M, Wang P, Wang S. Deploying battery swap stations for shared electric vehicles using trajectory data[J]. Transportation Research Part D: Transport and Environment, 2021, 97:102943.