The recent series of devastating hurricanes in the Caribbean has reminded the world, once again, that natural disasters are not equal-opportunity destroyers. The economically marginalized and those lacking secure land and property rights are often disproportionately affected for at least three reasons:
Imagine that you are an advisor to your country's Minister of Education. A recent earthquake damaged hundreds of schools in several cities. The minister has called for a meeting with you and asked: What can be done to prevent similar damages in the future?
So… What would you advise?
In search of answers, we spoke with the leaders of the World Bank’s Global Program for Safer Schools (GPSS), who have recently launched an innovative tool, the Roadmap for Safer Schools. This roadmap is a guide to design and implement systematic actions to improve the safety and resilience of school infrastructure at risk from natural hazards.
But, what happens when the palm tree is cut or when the street vendor changes the location?
The absence of street names poses not only challenges for orientation, but also for property tax collection, postal services, emergency services, and the private sector. Especially, new economy companies, such as Amazon or Uber, depend on street addressing systems and are eager to cater to market demands of a growing middle class.
To address these challenges, the Accra Metropolitan Assembly (AMA), financed by the World Bank’s second Land Administration Project , is implementing a street addressing and property numbering system in Accra. Other Metropolitan areas received funding from other World Bank-funded projects for similar purposes.
Children are often told that home is where to run inside when thunders hit or when the rain comes, and that home is a safe place. However, for billions of people in the world, it is not.
By 2030, it is estimated that 3 billion people will be at risk of losing a loved one or their homes—usually their most important assets—to natural disasters. In fact, the population living on flood plains or cyclone-prone coastlines is growing twice as faster as the population in safe homes in safer areas.
The 10 natural disasters causing the most property damages and losses in history have occurred since 2005. The damages and losses were highly concentrated in the housing sector. While the poor experience 11% of total of asset losses, they suffer 47% of all the well-being losses. Worse, natural disasters can lead to unnecessary losses of life, with earthquakes alone causing 44,585 deaths on average per year. This is an issue that policymakers and mayors need to address if they don’t want their achievements in poverty reduction to be erased by the next hurricane or earthquake.
Can we rely only on satellite? How accurate are these results?
It is standard practice in classification studies (particularly academic ones) to assess accuracy from behind a computer. Analysts traditionally pick a random selection of points and visually inspect the classified output with the raw imagery. However, these maps are meant to be left in the hands of local governments, and not published in academic journals.
So, it’s important to learn how well the resulting maps reflect the reality on the ground.
Having used the algorithm to classify land cover in 10 secondary cities in Central America, we were determined to learn if the buildings identified by the algorithm were in fact ‘industrial’ or ‘residential’. So the team packed their bags for San Isidro, Costa Rica and Santa Ana, El Salvador.
Upon arrival, each city was divided up into 100x100 meter blocks. Focusing primarily on the built-up environment, roughly 50 of those blocks were picked for validation. The image below shows the city of San Isidro with a 2km buffer circling around its central business district. The black boxes represent the validation sites the team visited.
|Land Cover validation: A sample of 100m blocks that were picked to visit in San Isidro, Costa Rica. At each site, the semi-automated land cover classification map was compared to what the team observed on the ground using laptops and the Waypoint mobile app (available for Android and iOS).|
The buzz around satellite imagery over the past few years has grown increasingly loud. Google Earth, drones, and microsatellites have grabbed headlines and slashed price tags. Urban planners are increasingly turning to remotely sensed data to better understand their city.
But just because we now have access to a wealth of high resolution images of a city does not mean we suddenly have insight into how that city functions.
The question remains:
In an effort a few years ago to map slums, the World Bank adopted an algorithm to create land cover classification layers in large African cities using very high resolution imagery (50cm). Building on the results and lessons learned, the team saw an opportunity in applying these methods to secondary cities in Latin America & the Caribbean (LAC), where data availability challenges were deep and urbanization pressures large. Several Latin American countries including Argentina, Bolivia, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama were faced with questions about the internal structure of secondary cities and had no data on hand to answer such questions.
A limited budget and a tight timeline pushed the team to assess the possibility of using lower resolution images compared to those that had been used for large African cities. Hence, the team embarked in the project to better understand the spatial layout of secondary cities by purchasing 1.5 meter SPOT6/7 imagery and using a semi-automated classification approach to determine what types of land cover could be successfully detected.
Originally developed by Graesser et al 2012 this approach trains (open source) algorithm to leverage both the spectral and texture elements of an image to identify such things as industrial parks, tightly packed small rooftops, vegetation, bare soil etc.
What do the maps look like? The figure below shows the results of a classification in Chinandega, Nicaragua. On the left hand side is the raw imagery and the resulting land cover map (i.e. classified layer) on the right. The land highlighted by purple shows the commercial and industrial buildings, while neighborhoods composed of smaller, possibly lower quality houses are shown in red, and neighborhoods with slightly larger more organized houses have been colored yellow. Lastly, vegetation is shown as green; bare soil, beige; and roads, gray.
Want to explore our maps? Download our data here. Click here for an interactive land cover map of La Ceiba.
Yanick Folly （贝宁） – 获奖者
Oyelowo Eyitayo (尼日利亚) – 获奖者
The relationship between poverty and disability goes both ways:
Yet, little attention has been given to the employment readiness of persons with disabilities. This is of concern given that the employment rates of persons with disabilities are a third to half of the rates for persons without disabilities, with unemployment rates as high as 80%-90% in some countries.
[Learn more: Disability Inclusion]
Disability is a complex, evolving, and multidimensional concept. Currently, it is estimated that 15% of the world population experiences some form of disability, with prevalence rates higher in developing countries. As opportunities for sustainable income generation are directly tied to a person’s access to finance, markets, and networks, persons with disabilities usually face significant challenges in accessing these, due to:
- non-inclusive regulations and policy,
- lack of resource allocation,
- stigma and societal prejudice,
- low educational participation, and
- inability to access their own communities and city spaces.
We need to do much more to ensure that women with disabilities are mainstreamed into projects that seek to empower women as entrepreneurs and change agents.
Expanding equitable opportunities for persons with disabilities is at the core of the World Bank’s work to build sustainable and inclusive communities. So, addressing work for persons with disabilities? Here’s what we’re doing at the World Bank:
- Harkin Summit
- Social Inclusion
- Sustainable Communities
- Global Goals
- Urban Development
- Social Development
- Labor and Social Protection
- Information and Communication Technologies
- Latin America & Caribbean
- South Asia
The submissions – and we at the Global Platform for Sustainable Cities received more than 90 entries from over 40 countries around the world – are very revealing.
What the photographers tried to communicate was a need: both the urgent need for infrastructure that leads to more resilient, sustainable cities, or a need to aspire to greener ideals of building sustainable communities for all.
There is no better day than today, World Cities Day, for us to share with you the 10 finalists – including 3 winners and an honorable mention for climate action – of the photo competition.
In the winning photo by Yanick Folly, one can practically feel the chaos of a city in Benin, the smell of exhaust fumes as cars crawl up alongside motorcycles and pedestrians down narrow alleyways.
Yanick Folly (Benin) – Winner
The photo is also a reminder that cities are made of people. Any set of solutions for “sustainable cities” will have to make sense to a city’s inhabitants, who tread its streets daily.
In other photos, the aspiration is palpable.
Many of the photographers are nationals of developing countries from all over the world. Yet quite a few of them shared photos of cities we regard as environmentally friendly: Singapore, Amsterdam, London, and Paris... We saw many photos of parks in developed countries, and heard the same message: These green spaces and pedestrian walkways are what we want in a city.
Adedapo Adesemowo (UK / Nigeria)
We received photos of what many of us may categorize as rural areas, but we should reconsider these preconceptions: some “cities” in developing countries are little more than makeshift towns.
So, it is all the more reason why we are excited about this winning photo by Oyewolo Eyitayo from Nigeria. You might think this is an uneventful photograph of a typical urban suburb. Except that the half dirt roads are lined with solar panels.
Oyelowo Eyitayo (Nigeria) – Winner
- photo contest
- photo competition
- sustainable cities
- Global Platform for Sustainable Cities
- Sustainable Communities
- World Cities Day
- Urban Development
- Social Development
- Climate Change
- Latin America & Caribbean
- The World Region
- Middle East and North Africa
- South Asia
- East Asia and Pacific
- Lao People's Democratic Republic
- United Kingdom