Investigation of the Challenges of Data to Promote Long-Term Sustainability in Flood-Prone Communities

Pavithra Rathnasiri*, Onaopepo Adeniyi, Niraj Thurairajah

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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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.
Original languageEnglish
Title of host publication6th European Conference on Industrial Engineering and Operations Management
Place of PublicationSouthfield, US
PublisherIEOM Society
Number of pages9
Publication statusAccepted/In press - 1 Jun 2023
Event6th European Conference on Industrial Engineering and Operations Management: Sustainable Data Driven Supply Chain - Doubletree by Hilton Lisbon Fontana Park, Lisbon, Portugal
Duration: 18 Jul 202320 Jul 2023
http://ieomsociety.org/lisbon2023/

Publication series

NameProceedings European Conference on Industrial Engineering and Operations Management
PublisherIEOM Society
ISSN (Electronic)2169-8767

Conference

Conference6th European Conference on Industrial Engineering and Operations Management
Country/TerritoryPortugal
CityLisbon
Period18/07/2320/07/23
Internet address

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