Track: Data Analytics and Big Data

Abstract

This study investigates the various challenges allied with using built asset data in promoting long-term sustainability in flood-prone communities. A qualitative research approach was followed with semi-structured interviews to identify the challenges in terms of data acquisition, management, classification and utilization. The significant challenges include the scarcity of data, data quality, data silos, legal restrictions on data sharing, lack of standardized data collection methods, and more.  These challenges cause significant hurdles to the effective and efficient utilization of built asset data for flood resilience planning. Overcoming these challenges needs collaboration between various stakeholders and creating innovative solutions to overcome the intricacies of data management and data processing. By emphasizing the need of overcoming these challenges, this paper highlights the significant role of built asset data in enhancing the resilience of flood-prone communities and promoting long-term sustainability.