Name: Dr. Jinying Xu
Academic Division: Civil Engineering
Research Group: Construction Engineering
Fellowship period: 1 Sep 2022 - 31 Aug 2025
Email: jx314@cam.ac.uk
Personal Website: https://eagletsuimars.github.io/
Research Interests 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. |
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. |