Flooding is among the most prevalent natural hazards, with particularly disastrous impacts in low-income countries. This study presents global estimates of the number of people exposed to high flood risks in interaction with poverty. It finds that 1.81 billion people (23% of world population) are directly exposed to 1-in-100-year floods. Of these, 1.24 billion are located in South and East Asia, where China (395 million) and India (390 million) account for over one-third of global exposure. Low- and middle-income countries are home to 89% of the world’s flood-exposed people. Of the 170 million facing high flood risk and extreme poverty (living on under $1.90 per day), 44% are in Sub-Saharan Africa. Over 780 million of those living on under $5.50 per day face high flood risk. Using state-of-the-art poverty and flood data, our findings highlight the scale and priority regions for flood mitigation measures to support resilient development.
The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
Flooding is among the most prevalent natural hazards, with particularly disastrous impacts in poor countries. Presenting the first global estimates of the number of people exposed to high flood risks in interaction with poverty, this study finds that 1.81 billion people (23% of world population) are directly exposed to 1-in-100-year floods. Of these, 1.24 billion are located in South and East Asia, where China (395 million) and India (390 million) account for over one-third of global exposure. Low- and middle-income countries are home to 89% of the world’s flood-exposed people. Of the 170 million facing high flood risk and extreme poverty (living on under $1.90 per day), 44% are in Sub-Saharan Africa. Over 780 million of those living on under $5.50 per day face high flood risk. Using state-of-the-art poverty and flood data, our findings highlight the scale and priority regions for flood mitigation measures to support resilient development.
The London Plan, the Greater London Authority's spatial development strategy for London, has defined Heathrow as an Opportunity Area -an area with the capacity to support additional homes and jobs -since 2004, but progress on developing the area has been minimal. Uncertainty around the expansion of Heathrow Airport appears to have adversely affected progress. Nevertheless, the most recent London Plan stipulates that the Heathrow Opportunity Area should accommodate 13,000 new homes and 11,000 new jobs. In this article, multi-objective linear programming is used to investigate whether these figures are achievable given constraints on land availability and land use mix. How land uses might best be assigned to maximise home, job and gross value added (GVA) creation within the Heathrow Opportunity Area is also explored. The main contributions are to provide independent scrutiny of London's development strategy and to present a mathematical framework for land use allocation planning decisions in urban areas. Findings show that given 700 ha of available land, as indicated in the London Plan, home and job creation figures can be met. However, there is insufficient brownfield land to meet these targets, and development on Green Belt land would very likely be necessary. Strong land use allocations for the area are found to more heavily feature financial and professional services, other office-based businesses, and shops. Rather than presenting a single land use "solution", results are presented using a wide range of visualisations to illustrate key trade-offs between different goals, with the secondary aim of promoting multi-objective linear programming to planners as a valuable tool to support spatial decisions and policy making.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.