Posted by Jess Beutler, Benjamin Dills, Carter Draper, Soraya Goga, Swati Sachdeva • Jan. 27, 2022
The World Bank, the Humanitarian OpenStreetMap Team, and iLab Liberia partnered to assess how pollution and lack of infrastructure was impeding the productivity of the Duala Market, Monrovia's largest wholesale market.
This post originally appeared on the World Bank blog.
If you walk through the Duala Market, the largest and most popular wholesale market in Monrovia, Liberia, in the morning, you will see vehicles crowding the streets and shopkeepers setting up their stalls. The shops spill out of the cluster of buildings that once formed the entire market and into the street for a kilometer-and-a-half stretch. Since its founding, the market has expanded to nearly 12 times its original size.
Aerial imagery of heavy traffic and crowding on the streets around the Duala Market
By midday, the market is packed. Somewhere between 1,000 and 3,000 vendors sell their goods to tens of thousands of customers here, making it a hub of economic activity in Greater Monrovia. The market is a key source of food and goods for residents and of income and livelihoods for vendors from across the region.
Street-level views of the marketplace
But in recent times, congestion and pollution have dampened the market’s productivity. Crowded streets make it difficult for vendors to deliver goods, while piles of trash, clogged drains, and inadequate waste facilities discourage shoppers. To help change that, the World Bank partnered with the Humanitarian OpenStreetMap Team (HOT), iLab Liberia, and local stakeholders—including the government, market association, vendors, Women in Informal Employment Globalizing & Organizing (WIEGO), and others—meeting in late 2019 to explore existing sources of pollution. They focused on waste, infrastructure facilities, and food loss—and on the relationship of these factors with market productivity. The results are included in a report, Open Mapping for Productivity & Pollution Impacts on the Duala Market.
By using a new approach, combining remote-sensing data (drone-mapping, machine-learning AI, street imagery, and the like) with on-the-ground vendor surveys and focus-group discussions, researchers in this study developed a baseline dataset on the existing market infrastructure and operations; spatial and temporal flows of transport, goods, people, transactions, waste, and services; diverse stakeholder views; and much more. The project began with a multi-stakeholder workshop to promote collaboration and obtain the permits required to conduct fieldwork. COVID-19 cases started to emerge in Monrovia as researchers analyzed data on the Duala Market's footprint, giving them an early chance to include pandemic-related findings.
Data collection, left; the Open-Map Kit app, center; and focus-group discussion, right
Here’s what the team found through data analysis:
Drone imagery at 3 centimeters' resolution: The market and its surroundings, left; categories of products sold, middle; and distance to toilets, right
The Duala Market plays a critical role in Monrovia's economy, but physical, institutional, and economic issues diminish its performance and productivity.
Kindly note: This study pioneered the community mapping of a combination formal/informal market in a city. Others can use the data to design interventions for local economic development and recovery in post-pandemic cities. As the data showed the Duala Market to be a COVID-19 contagion hotspot, some of its data was used to propose early recommendations to the local government for avoiding the spread of the virus and keeping the market open during lockdowns. Researchers can apply the study’s openly available dataset to plan and prioritize investments in urban environments, including that of the Duala Market.
We use cookies and similar technologies to recognize and analyze your visits, and measure traffic usage and activity. You can learn about how we use the data about your visit or information you provide by reading our privacy policy.
By clicking "I Agree", you consent to the use of cookies.