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

Pavithra Rathnasiri; Onaopepo Adeniyi; Niraj Thurairajah

doi:10.46254/EU6.20230079

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

Architecture and Built Environment Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	6th European Conference on Industrial Engineering and Operations Management
Place of Publication	Southfield, US
Publisher	IEOM Society
Number of pages	8
ISBN (Electronic)	9798350705478
DOIs	https://doi.org/10.46254/EU6.20230079
Publication status	Published - 18 Jul 2023
Event	6th European Conference on Industrial Engineering and Operations Management: Sustainable Data Driven Supply Chain - Doubletree by Hilton Lisbon Fontana Park, Lisbon, Portugal Duration: 18 Jul 2023 → 20 Jul 2023 http://ieomsociety.org/lisbon2023/

Publication series

Name	Proceedings European Conference on Industrial Engineering and Operations Management
Publisher	IEOM Society
ISSN (Electronic)	2169-8767

Conference

Conference	6th European Conference on Industrial Engineering and Operations Management
Country/Territory	Portugal
City	Lisbon
Period	18/07/23 → 20/07/23
Internet address	http://ieomsociety.org/lisbon2023/

Keywords

Challenges
Data
Flood
Resilience
Sustainability

Access to Document

10.46254/EU6.20230079

IEOM - Manuscript Final 2Accepted author manuscript, 211 KB

https://index.ieomsociety.org/index.cfm/article/view/ID/13139

Cite this

Rathnasiri, P., Adeniyi, O., & Thurairajah, N. (2023). Investigation of the Challenges of Data to Promote Long-Term Sustainability in Flood-Prone Communities. In 6th European Conference on Industrial Engineering and Operations Management Article 79 (Proceedings European Conference on Industrial Engineering and Operations Management). IEOM Society. https://doi.org/10.46254/EU6.20230079

Rathnasiri, Pavithra ; Adeniyi, Onaopepo ; Thurairajah, Niraj. / Investigation of the Challenges of Data to Promote Long-Term Sustainability in Flood-Prone Communities. 6th European Conference on Industrial Engineering and Operations Management. Southfield, US : IEOM Society, 2023. (Proceedings European Conference on Industrial Engineering and Operations Management).

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Rathnasiri, P , Adeniyi, O & Thurairajah, N 2023, Investigation of the Challenges of Data to Promote Long-Term Sustainability in Flood-Prone Communities. in 6th European Conference on Industrial Engineering and Operations Management., 79, Proceedings European Conference on Industrial Engineering and Operations Management, IEOM Society, Southfield, US, 6th European Conference on Industrial Engineering and Operations Management, Lisbon, Portugal, 18/07/23. https://doi.org/10.46254/EU6.20230079

Investigation of the Challenges of Data to Promote Long-Term Sustainability in Flood-Prone Communities. / Rathnasiri, Pavithra ; Adeniyi, Onaopepo ; Thurairajah, Niraj.
6th European Conference on Industrial Engineering and Operations Management. Southfield, US: IEOM Society, 2023. 79 (Proceedings European Conference on Industrial Engineering and Operations Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Rathnasiri P , Adeniyi O , Thurairajah N. Investigation of the Challenges of Data to Promote Long-Term Sustainability in Flood-Prone Communities. In 6th European Conference on Industrial Engineering and Operations Management. Southfield, US: IEOM Society. 2023. 79. (Proceedings European Conference on Industrial Engineering and Operations Management). doi: 10.46254/EU6.20230079