Not one, but two Category 5 hurricanes wreaked destruction on numerous small islands, causing severe damages on islands like Barbuda, Dominica, and Saint Martin. The human cost of these disasters was immense, and the impact of this devastation was felt most strongly by poorer communities in the path of the storms.
Typhoon Yolanda (Haiyan), which struck the country in 2013, was considered one of the strongest tropical storms ever to make landfall (at 380 kilometer / hour wind gusts). It caused over 6,300 fatalities and affected 1,472,251 families in 171 cities and municipalities across the 14 provinces in 6 regions. Total damage and loss was estimated at $12.9 billion (Reconstruction Assistance on Yolanda 2013).
Natural disasters made 2017 a very expensive year.
At $330 billion, last year’s global losses from disasters set a record. These economic losses were primarily a result of meteorological events, such as floods and hurricanes, which are increasing in frequency and intensity due to climate change. An increasing number of people are also exposed to tectonic risks, such as earthquakes and landslides, due to rapid urbanization.
But growing disaster losses aren’t inevitable. Policy changes, education, and good disaster risk management practices have been proven to reduce losses – and the foundation of all of them is accurate, reliable information about disaster risks.
This year, the community will convene at the Understanding Risk Forum 2018 May 14–18 in Mexico City. The Forum will highlight best practices, facilitate nontraditional partnerships, and showcase the latest technical knowledge in disaster risk identification.
The good news is that the past few years have seen a surge of new ways to get more accurate, more detailed information more quickly, more easily, and in more difficult contexts. We can now use social media to gather increasingly valuable information in the immediate aftermath of an event. Drones are increasingly capturing high-quality images, and machine learning for image recognition is already helping us produce more and better risk data all the time.
These emerging technologies, including artificial intelligence and machine learning, will be one of the major themes of this year’s UR Forum. To find out more about the UR Forum, and how you can get involved, watch the video blog and visit understandrisk.org.
It is 7:45 p.m. in Ponto-cho, the historic narrow alley at the core of the Japanese city of Kyoto. Close to the Kaburenjo Theater – where still today Geikos and Maikos (Kyoto Geishas) practice their dances and performances – the traditional adjoining buildings with restaurants and shops are full of guests. Local people, tourists, students… On this Saturday in mid-April, the warm weather brings a lot of people to the streets nearby.
At 7:46 p.m., a M 5.1 earthquake strikes. Seven seconds of swaying. It doesn’t cause major damage, but it is enough to spread panic among a group of tourists. Screams, shoving, confusion… drinks spill, candles fall, people rush.
At 7:49 p.m., the fire starts spreading through the old wooden structures, also threatening the historic theater. Access is difficult due to the narrow streets and panicking crowd.
What happens next?
It could be a fire in the Ponto-cho traditional alley. It could be an earthquake shaking the historic center of Kathmandu (Nepal), the archaeological site of Bagan (Myanmar), or the historic town of Amatrice (Italy). It could be Typhoon Haiyan in the Philippines or Hurricane Irma in the Caribbean, blasting sites with rain, flooding, and gale-force winds.
Cultural heritage assets around the world are at risk. They are often vulnerable due to their age, as well as previous interventions and restorations made without disaster risk or overall site stability in mind. Heritage sites reflect legacies, traditions, and identities. With all this, they carry a large cultural and emotional value of what could be lost – certainly beyond the traditional calculus of economic losses.
In many cases, it is not possible or advisable to conduct reconstruction on cultural heritage sites post-disaster. Therefore, the essence and soul of a cultural heritage site is at risk of being lost forever, making preparedness and preservation even more critical.
The challenge of anticipating and communicating the risk of volcanic eruptions to communities requires complex decision-making. Ecuador’s Cotopaxi Volcano and Indonesia’s Mount Agung are recent examples where the warning signs were present (small earthquakes, increasing gas emissions, and more), yet an eruption came much later than expected. Volcanic eruptions are therefore a double-edged sword that often creates a decision-making dilemma. While signs of volcanic activity can provide adequate time for preparation and evacuation, the very same signs can also create conditions of extreme uncertainty, which can be exacerbated by piecemeal communication around eruption events.
In this video, Anna Wellenstein, Director of Strategy and Operations in the World Bank’s Social, Urban, Rural and Resilience Global Practice, and Kamran Akbar, Senior Disaster Risk Specialist in the World Bank’s Nepal office, discuss the resilient reconstruction program undertaken by the Nepalese.
The program includes innovative approaches that help ensure the country is building back better, building a cadre of tradesmen skilled in resilient construction, and increasing financial access for beneficiary families.
These good practices not only apply to World Bank-funded reconstruction, but to the overall program supported by the Nepalese government and donors, creating country-wide and lasting impacts for a safer and more resilient Nepal.
Disasters hit the poorest the hardest. Poor people are not only more vulnerable to climate-related shocks, but they also have fewer resources to prevent, cope with, and adapt to disasters. The poor tend to receive less support from family, community and financial systems, and even have less access to social safety nets, as a recent World Bank report explains.
During the 2017 Hurricane Harvey in the U.S., many women—especially women of color—decided to not evacuate risk areas despite all the warnings. Why? All over the world, women and girls are overwhelmingly tasked, personally and professionally, with caring for children, the elderly, and people with disabilities. So, simple life-saving decisions, like discerning whether to evacuate a disaster area, can become a difficult choice.
Poverty and gender norms shape basic survival capabilities as well. For example, according to an Oxfam survey, four times as many women than men were killed in Indonesia, Sri Lanka, and India during the 2004 tsunami, because men were taught how to swim and climb trees at young ages, while women were not.