
Dr Jie Zhang
BEng, PhD
Expertise
Current positions
Lecturer in Business Analytics
University of Bristol Business School
Contact
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Biography
His research examines how quantitative modelling and data analytics can improve decision-making in complex transportation and supply chain systems. His work focuses on sustainable transportation and digital supply chains, with particular interests in shared and emerging mobility services, electric-vehicle charging and transport digital twins. A central theme of his recent research is how transportation and supply chain systems can be better designed, planned and operated by drawing on technological innovation and behavioural insights. His work also supports policy development and the evaluation of alternative operational and policy interventions.
Methodologically, he combines mathematical optimisation, simulation and data-driven analysis to model complex systems, compare alternative interventions and evaluate their effects on system performance and decision-making.
Dr Zhang has published more than 40 peer-reviewed journal articles and has secured funding as PI/Co-I for projects with a combined value of over £1 million. He collaborates with academic, industry and policy partners and addresses real-world transportation and supply chain challenges.
Dr Zhang welcomes enquiries from prospective PhD students, visiting researchers and potential collaborators interested in applying quantitative modelling and data analytics to sustainable transportation, mobility systems and digital supply chains.
Research interests
Dr Zhang’s research advances sustainable transportation, shared mobility and digital supply chains by applying analytics, optimisation, agent-based modelling, network science and simulation. He develops decision-support tools for the planning, operation and management of complex transport and supply chain systems.
His recent work focuses on future mobility solutions such as Mobility as a Service (MaaS), bike sharing, on-demand transit, and the adoption of electric vehicles (EVs) and vehicle-to-grid (V2G) technologies. He is also active in exploring supply chain management and digital twin systems, with applications in areas including zero-emission maritime logistics, resilience of supply networks and integration of transport–energy systems.
Projects and supervisions
Research projects
Vehicle-to-Grid Pathways for Sustainable Cities in the UK and Australia
Principal Investigator
Managing organisational unit
University of Bristol Business SchoolDates
01/02/2026 to 31/01/2027
HyPACT 2.0: Enabling Smart, ZeroEmission Maritime through Digital Innovation
Principal Investigator
Managing organisational unit
University of Bristol Business SchoolDates
01/09/2025 to 31/03/2026
Saving Water and Energy in the Residential Sector: Behavioural Adaptation and Technology Adoption
Role
Co-Investigator
Dates
01/07/2023 to 30/06/2025
Digital twin platform aims to optimise vehicle-to-grid management
Principal Investigator
Dates
17/02/2023 to 31/07/2023
Interlinked Low-Carbon Travel and Residential Behaviour: Energy, Climate, Social and Infrastructural Impacts
Role
Co-Investigator
Dates
01/10/2022 to 30/09/2025
Publications
Recent publications
27/04/2026Digital twins for supply chain operations
Encyclopedia in Operations Management
An Agent-Based Model to Simulate Individual Reframing of News Media Posts on Social Media
Proceedings of the 59th Hawaii International Conference on System Sciences
Coordination and merging for virtual coupling trains at junction
Transportmetrica A: Transport Science
A Dynamic Railway-Economy Causality Framework (DRECF): Examining the Relationship Between Railway Transportation and National Economic Development
An MPC-based Distributed Bidirectional Control Strategy for Virtual Coupling with Unreliable Train-to-Train Communications
IEEE Internet of Things Journal
