Professor Zhou’s research examines the interrelationships among transport systems, land use, and human mobility, with a focus on improving their integration, performance, equity, and resilience. He draws on primary data (surveys and interviews) as well as large-scale secondary sources—smart-card transactions, mobile-phone records, and other big/open data—to refine and extend the excess-commuting framework, evaluate transit-oriented development (TOD), measure accessibility, and analyse behavioural responses to shocks (e.g., COVID-19, social movements). His work has generated new indicators, visualisation techniques, and evidence-based policy recommendations for sustainable and resilient urban transport.
As of 2025 he has published 59 refereed articles in English (as sole, first-plus-corresponding, or sole corresponding author) and 65 in Chinese, with 36 English and 11 Chinese papers appearing since tenure (2020). He ranks among the top 1 % of researchers worldwide by citations (Clarivate Analytics, 2022 & 2023) and among the top 2 % of scientists by career-year-adjusted citations (Stanford ranking since 2021). In the 2025 Stanford ranking he placed 80th worldwide for the single year (primary field Logistics & Transport; secondary Urban & Rural Planning) and 227th for career-long impact. He is ranked No. 9 in Urban Planning by citations in the China National Knowledge Infrastructure (CNKI). All 13 papers submitted to HKU Mock Research Assessment Exercises (2020, 2023, 2025) received 3* (internationally excellent) or 4* (world-leading) ratings. He is the most prolific author of featured graphics in Environment and Planning A (13 pieces, 2014–2022).
Professor Zhou currently serves as Associate Editor of Transactions in Urban Data, Science and Technology (SAGE) and sits on the editorial boards of several leading journals. He has held Associate Editorships of Travel Behaviour and Society (Elsevier) and Urban Rail Transit (Springer). He leads multiple competitive projects funded by the Hong Kong Research Grants Council (GRF), Innovation and Technology Fund, National Social Science Fund of China, National Key R&D Programmes, and other bodies. These projects investigate physical infrastructure–land-use–behaviour linkages, cross-border mobility, transit resilience, and the use of multi-source data for planning and policy.


