Qian-Cheng is a PhD candidate in Land Economy, specialising in human-environment interaction and activity-driven sustainable urban development. His current research focuses on developing an activity-based model to quantify the environmental impacts of alternative urban spatial planning strategies in city regions. Prior to pursuing his PhD, Qian-Cheng earned an MPhil in Architecture and Urban Studies (Cantab) and a BSc in Building Engineering and Management with a Minor in Applied Mathematics (PolyU). Qian-Cheng has published over 20 peer-reviewed journal and conference papers. He also actively contributes to the academic community, serving as a reviewer for over 30 peer-reviewed journals in his field.

City-scale energy models are crucial for achieving carbon neutrality goals and have been widely utilised in environmental research, policymaking, and urban planning. However, the existing aggregated energy models are inadequate in capturing the long-term influence of changing activity patterns of residents such as flexible and remote working, as well as the interaction between different sectors. To address these issues, Qiancheng's research aims to develop a novel activity-based model that links the residential, workplace, and transport sectors. The proposed framework employs the residents' activity chain as the linkage, with estimations of residential energy demand and workplace energy demand based on at-home time use choice and workplace location choice, respectively. By creating a more accurate model, this study will contribute to sustainable city governance and planning.

environment