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dc.contributor.authorICASP14
dc.date.accessioned2023-08-03T13:35:38Z
dc.date.available2023-08-03T13:35:38Z
dc.date.issued2023
dc.identifier.citationChenbo Wang, Gemma Cremen, Carmine Galasso, Leveraging data-driven approaches to explore the effect of various disaster policies on post-earthquake household relocation decision making, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.identifier.urihttp://hdl.handle.net/2262/103406
dc.descriptionPUBLISHED
dc.description.abstractEarthquake events can cause affected households to relocate. Post-earthquake relocation disrupts displaced householdsメ social ties as well as their access to affordable services. Simulation models that capture post-earthquake relocation decision-making can be useful tools for supporting the development of related disaster risk reduction policies that aim at mitigating disaster-induced relocation. Yet, existing versions of these models focus particularly on housing-related factors (e.g., housing repair costs), which are not the sole driver of post-earthquake relocation. In this paper, we integrate data-driven approaches and local perspectives into an existing simulation-based framework to holistically capture various context-specific factors perceived as being important to household relocation decision-making. The enhanced framework is used to quantitatively assess the effectiveness of various disaster risk reduction policies - both 'soft' (e.g., post-earthquake livelihood assistance funds) and 'hard' (e.g., upgrading existing infrastructure facilities to higher building codes) - in reducing post-earthquake household relocation, with an explicit focus on low-income households. We demonstrate it using a possible future (50-year) projection of モTomorrowvilleヤ, a synthetic expanding urban extent that imitates a Global South setting. Our analyses suggest that livelihood assistance funds are more successful and pro-poor when it comes to mitigating positive post-earthquake relocation decision-making than hard policies focused on strengthening buildings (at least in the context of the examined case study).
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titleLeveraging data-driven approaches to explore the effect of various disaster policies on post-earthquake household relocation decision making
dc.title.alternative14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.typeConference Paper
dc.type.supercollectionscholarly_publications
dc.type.supercollectionrefereed_publications
dc.rights.ecaccessrightsopenAccess


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    14th International Conference on Application of Statistics and Probability in Civil Engineering

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