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Sustainable Communities

Lessons from the West Bank’s first PPP: Fragile state + open mind

Malak Draz's picture


“If you want something new, you have to stop doing something old,”—good advice from innovation and management guru . This approach was key to a PPP we coordinated in one of the world’s oldest areas, the West Bank.
 

Forced Displacement: How does it impact host communities?

Paolo Verme's picture
Syrian refugees in the Zaatari refugee camp in Jordan, located 10 km east of Mafraq, Jordan on March 27, 2016. Photo © Dominic Chavez/World Bank


As millions of refugees from the Syrian and other crises try to build new lives in countries that will accept them, the host governments still grapple to find an evidence-based response to the question: what foreseeable impact will the refugees have on our citizens’ lives?

India: How to help communities break the vicious "disaster-poverty" cycle

Ede Ijjasz-Vasquez's picture
 

Natural disasters push the near poor to below the poverty line & contribute to more persistent and severe poverty, creating poverty traps. Impacts on their livelihood pushes them further down the poverty line and as they own few assets it is very difficult for them to break this cycle.
Poor are caught up in and disaster-poverty vicious circle- are more likely to reside in hazardous locations and in substandard housing exposing them more to disasters. Poor households in disasters use harmful coping strategies, such as reducing expenditures on food, health, & education or increasing incomes by sending children to work.

The road to recovery: Rebuilding the transport sector after a disaster

Melody Benavidez's picture
Transport and disaster recovery

In the Paradise, California fires of November 2018, a range of factors coalesced . Fueling the fires were gale-force winds that when combined with the area’s institutional and infrastructural challenges led to one of the deadliest fires in California history.

When Paradise was developed, the road network was built to maximize buildable space for homes. However, as the Paradise fires demonstrated, in the event of a large-scale disaster, the road network inhibited community-wide evacuation. Paradise featured nearly 100 miles of private roads that dead-ended on narrow overlooks with few connector streets. As wind rapidly accelerated the fire throughout the community, residents trying to flee found themselves on roads . Evacuation routes turned into fire traps. Local officials went on to say that .

The Paradise example demonstrates the importance of transport networks for allowing swift evacuation during the response phase, and also hints at how important effective recovery of the transport network will be in Paradise, California. In the aftermath of any significant disaster event, it is the roads, railways and ports that underpin the restoration of economic activity and the reconstruction of critical infrastructure after a disaster. In the aftermath of devastating floods, earthquakes, landslides, or typhoons, roads may be rendered unusable, making it more expensive to transport goods and services as well as preventing people from earning income. As such, having multiple ways to get from point A to point B, by modality and by route, is critical to continued connectivity. The recovery phase can be the impetus to reexamine vulnerable links in the transport network and address those deficiencies to help reduce future risks and strengthen the economic and physical resilience of people and infrastructure assets.

Demystifying machine learning for disaster risk management

Giuseppe Molinario's picture

To some, artificial intelligence is a mysterious term that sparks thoughts of robots and supercomputers. But the truth is machine learning algorithms and their applications, while potentially mathematically complex, are relatively simple to understand. Disaster risk management (DRM) and resilience professionals are, in fact, increasingly using machine learning algorithms to collect better data about risk and vulnerability, make more informed decisions, and, ultimately, save lives.

Artificial intelligence (AI) and machine learning (ML) are used synonymously, but there are broader implications to artificial intelligence than to machine learning. Artificial (General) Intelligence evokes images of Terminator-like dystopian futures, but in reality, what we have now and will have for a long time is simply computers learning from data in autonomous or semi-autonomous ways, in a process known as machine learning.

The ’s clarifies and demystifies the confusion around concepts of machine learning and artificial intelligence. Some specific case-studies showing the applications of ML for DRM are illustrated and emphasized. The Guidance Note is useful across the board to a variety of stakeholders, ranging from disaster risk management practitioners in the field to risk data specialists to anyone else curious about this field of computer science.

Machine learning in the field

In one case study, drone and street-level imagery were fed to machine learning algorithms to automatically detect “soft-story” buildings or those most likely to collapse in an earthquake. The project was developed by the World Bank’s Geospatial Operations Support Team (GOST) in Guatemala City, and is just one of many applications where large amounts of data, processed with machine learning, can have very tangible and consequential impacts on saving lives and property in disasters.

Disasters due to natural hazards are just the tip of the iceberg in MENA cities

Ede Ijjasz-Vasquez's picture
 

Resilience is increasingly recognized as a key attribute of an effective urban system. Discussions on resilience often center around disasters caused by natural hazards. However, cities are increasingly exposed to multiple shocks and stresses beyond disasters. Cities in the Middle East and North Africa (MENA) are no different and are equally if not more vulnerable to a large set of shocks.

Securing sustainable livelihoods for waste pickers

Amal Faltas's picture

Today on Global Waste Picker Day, we explore the problem of solid waste management in the Gaza Strip and how it is compounded by poverty, unemployment, and severe restrictions imposed on residents
.

With a high unemployment rate in Gaza (53.7 percent), and every second person in Gaza living below the poverty line, residents of the Gaza Strip also face greater technical, environmental, social, institutional and financial challenges, due in large part to restricted access to goods and services. Frequent border closures cause considerable delays for the entry and servicing of waste management equipment and these delays contribute to a fragmented and poorly managed waste collection and disposal system - exacerbating public health and environmental concerns.

The ticket to a better ride: How can Automated Fare Collection improve urban transport?

Leonardo Canon Rubiano's picture
Photo:
In both developed and developing countries, a growing number of cities are relying on automated systems to collect public transport fares and verify payment. Far from being a gimmick, Automated Fare Collection (สมัคร W88 รับเงินเดิมพันฟรีเครดิต 260 บาท) can bring a wide range of benefits to local governments, transport planners, operators—and, of course, to commuters themselves.

The recent paid a great deal of attention to the applications and benefits of สมัคร W88 รับเงินเดิมพันฟรีเครดิต 260 บาท, which have been at the heart of many World Bank and IFC-supported urban mobility projects.

For users, the development of สมัคร W88 รับเงินเดิมพันฟรีเครดิต 260 บาท is a critical step toward making public transport more efficient, affordable, and accessible. The keywords here are integration and interoperability. สมัคร W88 รับเงินเดิมพันฟรีเครดิต 260 บาท systems are now becoming compatible with an ever-increasing number of payment methods besides smart cards —near-field communication devices (including smartphones), debit and credit cards, e-commerce platforms (e.g PayPal, AliPay), and even printed QR codes and SMS, opening the way for integration with other transport services such as bikeshare schemes, paratransit, or even carpooling services.

Efficient public transport starts with strong institutions

Sofía Guerrero Gámez's picture
Also available in: Español
Photo:
Over 10 million people now live in the Lima Metropolitan Area, equivalent to about 1/3 of Peru’s total population. As the number of residents and private vehicles continues to rise, getting around this sprawling metropolis is proving increasingly difficult.
 
In fact, Lima’s commuters waste an average 20 days a year due to congestion. Traffic also takes a serious toll on quality of life and the environment. Most importantly, the yearly rate of road fatalities has reached , with most instances concentrated in urban areas.
 
The city’s transport woes have been exacerbated by the lack of efficient public transport, which drastically undermines access to jobs and essential services like health or education—especially for the poor—and .
 
So how can we tackle this and keep Lima moving? As mentioned in one of our previous articles, cities that are striving to build adequate and reliable public transport systems must consider multiple factors simultaneously.  
 
Today, let’s take a closer look at the role of institutions—perhaps one of the most critical pieces of the urban transport puzzle.

How are we approaching the intersection of fragility, conflict and violence, and disaster risk?

Ede Ijjasz-Vasquez's picture
 

We are facing an unprecedented era of increasingly complex crises. A growing number of countries are affected by both recurring disasters caused by natural hazards and protracted crises associated with fragility, conflict and violence (FCV). Violent conflict has spiked dramatically since 2010 and the fragility landscape is becoming more complex. Two billion people now live in countries affected by FCV. By 2020, it is estimated that between 43% and 60% of the world’s extreme poor will live in FCV countries.


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