By Joshua Anthony, on 12 October 2022
As a trans-disciplinary department, the Institute for Risk and Disaster Reduction (IRDR) fosters disaster-risk research from a variety of perspectives and experience. From previous and ongoing crises to future perils, work done by our staff and students is positioned to respond to the increasing necessity for disaster research imposed by unrelenting exposure to hazards and vulnerabilities. Students attending IRDR learn about these complex interactions and develop the skills needed to assess the many dimensions of disaster. This article presents a short collection of research projects conducted by some of our master’s students.
Evacuation Decision Model of Flood-Affected People in South Kalimantan, Indonesia
Flood is the most prominent hazard in South Kalimantan Province, Indonesia. On January 2021, South Kalimantan suffered from the most severe flood in the last 60 years, which inundated 10 out of 13 regencies/cities in the province. Moreover, the event generated over 100 thousand dollars of economic losses, nearly 80 thousand people affected, and 21 death tolls. As for December 2021, floods hit the province again and impacted several regions. To save more lives in future events, evacuation for people at risk is an important action in the emergency phase. However, evacuation decision-making involves complex variables such as sociodemographic conditions, capacity, risk, as well as warning systems. Therefore, this study aims to identify the significant variables that influence people’s evacuation decision.
This study will focus on two districts, one in Tabuk River District (rural area) and another one in West Banjarmasin District (urban area). The two regions were severely flooded in January and December 2021. Tabuk River District is frequently flooded due to fluvial (river) flooding, while West Banjarmasin District is frequently flooded due to tidal flooding. My data collection method will distribute questionnaires to people in the flood-affected area and data analysis will be conducted using a binomial regression model.
Khonsa Zulfa | email@example.com
Copula theory with applications to assess flood risk in the Calgary region, Canada
As a geologist, I have always been intrigued by the occurrence of extreme natural phenomena. For that reason I chose for my dissertation project the study area of Canada, and more specifically the region of South Alberta, in Calgary. Canada is a flood prone country, which has faced extreme floods over the years; however, the 2013 flood in southern Alberta was one of the costliest disasters in Canadian history. That being the case, I was really interested in identifying and estimating the potential flood risk in this particular region with the use of the copula theory, which is a statistical method that allows us to consider a number of factors related to flood risk, and then provide the right mitigation measures to tackle this hazard. In that way, we could understand the probability that a flood event of a particular intensity will occur over an extended period, and thus, make the right decisions to protect the general public from an imminent disaster—having always in mind that prevention is better than cure.
Kleoniki Theodoridou | firstname.lastname@example.org
Agent-Based Tsunami Evacuation Model for Tsunami Risk Assessment in Tanjung Benoa, Bali, Indonesia.
Bali, a world-famous tourist area, is one of Indonesia’s islands prone to megathrust earthquake-generated tsunamis with magnitudes up to M9.0 due to its location on the subduction zone between Eurasia and the Australia plate. Therefore, understanding risk and the ability to evacuate during tsunami is critical and essential to reducing the risk, which is mostly influenced by people-behaviour in decision-making. This study aims to model the tsunami evacuation to analyze the tsunami risk, including casualty estimation and shelter analysis in Tanjung Benoa village, Bali, Indonesia. This study includes tsunami hazard modelling using COMCOT v1.7 software, people-behaviour surveys about tsunami evacuation through questionnaires, and modelling the tsunami evacuation using agent-based model in NetLogo software. The tsunami model shows that the estimated arrival time ranges from 15-20 minutes with 15 meters of maximum tsunami height. Of 300 respondents, the majority (87.7%) will choose to evacuate by foot and the rest (12.3%) by vehicle, with the departure time 5 minutes after the shaking, resulting tsunami evacuation model with a casualty estimation of up to 22.2%. Improving the tsunami preparedness strategies is essential for the stakeholders—especially adding more vertical tsunami shelters, as this study also found that the capacity of the current shelters in Tanjung Benoa is still less than 50% of the total population.
Giovanni Cynthia Pradipta | email@example.com
How far do India’s Disaster Risk Reduction policies consider the sustainable livelihood needs of tribal women: A case of Keonjhar District, Odisha
In this study, I evaluated whether disaster risk reduction (DRR) policies reduce tribal women’s vulnerability and offer sustainable livelihood options. Moreover, I proposed ways to improve the effectiveness of these policies by identifying their shortcomings. Using a gender lens and Sendai Framework, this study contributes to the literature on the convergence of DRR with the Sustainable Development Goals in the context of the marginalized group of tribal women. Presently we don’t find any DRR policy explicitly addressing this issue of tribal women. Though different Central and State programs for reducing the overall vulnerability of women are in progress. The government is taking a variety of measures and gender-inclusive disaster governance is gradually gaining ground.
Swati Sharma | firstname.lastname@example.org
The IRDR Master’s Programmes facilitate research in a wide variety of topics.
Thank you to our student contributors,
Joshua Anthony, Editor of IRDR blog.
Joshua.email@example.com | Please get in contact if you would like to contribute to this blog.