Dr Jinying Xu
- Marie Sklodowska-Curie Future Roads Fellow
- Cohort 1 Fellows representative
- Assistant Professor at National University of Singapore
Connect
Location
- Digital Roads of the Future - Sustainability
About
Dr. Jinying Xu’s research is currently focused on the theme of sustainability and data science in smart construction of future roads. She completed her Ph.D. in construction management and technology at the University of Hong Kong (HKU) in 2021, MPhil in mega infrastructure management from Tongji University in 2017, BEng in engineering management and LLB in sociology from Harbin Institute of Technology in 2014. Before joining the University of Cambridge as a Marie Curie co-funded Future Roads Fellow, she worked as a Postdoctoral Fellow at HKU and was the research team leader and then a project manager of a 1-million-pound Innovation and Technology Fund project. Her research track-records cover data science for construction sustainability, smart construction and facility management, construction digital transformation, human-organisation-technology fit, and human-machine augmentation in construction engineering. Dr. Xu is the author of 25 peer-reviewed journal papers, 6 book chapters and 13 conference papers till September 2022. She serves as reviewer of over 10 international journals. She is a recipient of buildingSMART International Award and ASCE 2022 Journal of Management in Engineering Best Peer Reviewed Paper. As a Future Roads Fellow, Dr. Xu will endeavour to integrate data science and advanced technologies for sensing and monitoring, data analytics, information communication and visualisation to enable sustainability-orientated decision-making in highway infrastructure projects. She will work with collaborators of different background from academia and industry to develop a data architecture with a full set of protocols and an integrated platform for infrastructure sustainability from design to operation.
Fellowship period: 1 Sep 2022 - 31 Aug 2025
Research
Strategic Themes
Data architecture and model for sustainability
A standardised data architecture and model for consistent carbon calculation, assessment, and optimisation in future roads
Data protocols based on passive and proactive technologies for sustainability
A set of protocols for data collection, storage, analysis, and visualisation based on existing and future attainable technologies, be they passive or proactive, for sustainability assessment in road infrastructure.
Sustainability-orientated decision-making framework
A framework with integrated and appropriate criteria and advanced data analytics and visualisation technologies specialised for sustainability-orientated decision-making for future roads.
Research Project
Project Title: Data science and digital technologies for intelligent carbon management in the whole life of highway assets
Abstract:
Sustainability is the continued protection of human health and the environment while fostering economic prosperity and societal well-being. Specially, one of the most intriguing problems in sustainability is carbon measurement and analysis in infrastructure projects to meet the net-zero 2050 target. For future roads, carbon reduction is an inevitable theme to be addressed. This project will investigate data-informed sustainability decision-making in future roads, focusing on carbon management. It aims to develop a standardised carbon data model for the precise carbon management of highway projects and study what advanced technologies/techniques could be utilised to improve data availability, operability, consistency, and reliability. To fulfil this aim, the project will develop a standardised data model that can be employed for consistent carbon calculation, assessment, and optimisation by future road developers. A mixed research method with interviews, organisational archival analysis, and ontology modelling is used. Four research objectives are outlined: (1) to review existing carbon management theories and practices, attainable advanced technologies for carbon sensing and monitoring, data analysing, sharing, and visualisation; (2) to develop a standardised data model for carbon management; (3) to develop a set of interoperable protocols for data collection, storage, analysis, sharing, and visualisation; and (4) to prepare the data model in a way that is adaptable to the foreseeable adoption of new technologies in the next five years. A carbon data trustworthy framework and an intelligent carbon data management system architecture are developed.
Alignment with SDGs: 9 Industry, Innovation and Infrastructure; 11 Sustainable cities and communities; 13 Climate Action.
Starting with TRL 1, expected end with TRL 6
Industry secondment: National Highways, starting 25 Nov 2024.
Dr. Jinying Xu’s research interests lie broadly at the intersection of smart construction technology and management, sustainability, and data science. Her research departs from the strategical decision-making perspective of organisational digital transformation and focuses on system framework, data architecture, and technology integration aspects. She aims to break the silos of various advanced technologies along different stages and contribute to a collective, synthesized and applicable technology solution. She is also very interested in the humanity issues in human-machine augmentation.