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
https://orcid.org/0000-0001-9589-6396
Personal Website: https://eagletsuimars.github.io/
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. |