UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Leveraging Data-driven Approaches to Explore the Effect of Various Disaster Policies on Post-earthquake Household Relocation Decision-making

Wang, Chenbo; Cremen, Gemma; Galasso, Carmine; (2023) Leveraging Data-driven Approaches to Explore the Effect of Various Disaster Policies on Post-earthquake Household Relocation Decision-making. In: ICASP14. (pp. pp. 1-8). Trinity College Dublin: Dublin,Ireland. Green open access

[thumbnail of submission_314.pdf]
Preview
Text
submission_314.pdf - Other

Download (2MB) | Preview

Abstract

Earthquake events can cause affected households to relocate. Post-earthquake relocation disrupts displaced households’ 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 “Tomorrowville”, 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).

Type: Proceedings paper
Title: Leveraging Data-driven Approaches to Explore the Effect of Various Disaster Policies on Post-earthquake Household Relocation Decision-making
Event: 14th International Conference On Application Of Statistics And Probability In Civil Engineering, ICASP14
Open access status: An open access version is available from UCL Discovery
Publisher version: https://icasp14.com/presenter/proceedings/
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10181510
Downloads since deposit
12Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item