Skip to Main Navigation

World Toolbox Disaster and Resilience Analytics : Where are all the Jobs? A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries (English)

Cities are intricately interconnected socioeconomic systems, with transport networks connecting people to their jobs, health, and education facilities, and ensuring the smooth functioning of supply chains. When floods happen, they isolate people and firms from these vital networks, causing cascading disruptions and losses. Such floods are not limited to rare and extreme events. Especially in developing country cities, the lack of resilient infrastructure...
See More

Document also available in : English, English, English

DETAILS

  • 2022/03/30

  • Report

  • AUS0002691

  • 1

  • World,

  • Other,

  • 2022/04/29

  • Disclosed

  • World Toolbox Disaster and Resilience Analytics : Where are all the Jobs? A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries

DOWNLOADS

COMPLETE REPORT

Official version of document (may contain signatures, etc)


Citation

World Bank.

World Toolbox Disaster and Resilience Analytics : Where are all the Jobs? A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/099140204282212874

This document is being processed or is not available.