Simple Science

Cutting edge science explained simply

# Statistics # Econometrics # Applications

Understanding Vulnerability in Climate Change

Examining how different communities face climate risks globally.

Lidia Cano Pecharroman, Melissa O. Tier, Elke U. Weber

― 5 min read


Climate Risks and Climate Risks and Community Vulnerability facing climate challenges. Assessing real impacts on communities
Table of Contents

Climate change is a big deal. It affects how we live, where we live, and who gets hit the hardest by extreme weather like floods, heatwaves, and storms. Some people are more vulnerable than others to these dangers, and it’s important to understand why. This article dives into the differences between people and how they experience climate risks in five major cities around the globe. Spoiler alert: It turns out that the usual measures like age and income aren’t the only factors to pay attention to.

The Task at Hand

We set out to gather information on how communities are impacted by climate hazards and the social challenges that come along with them. Unfortunately, figuring out how to measure Vulnerability is still in its early days. We’ve got a lot of work to do, such as:

  1. Picking better variables that show vulnerability.
  2. Figuring out how these variables apply across different places and cultures.

To tackle this, we ran a survey in five global cities: Buenos Aires, Johannesburg, London, New York City, and Seoul. Our goal was to collect data on people's experiences with extreme weather, their socioeconomic features, and some less common characteristics like queer identity and disability. With this data, we wanted to analyze which factors are most important in predicting how people experience extreme weather.

Why Does This Matter?

If you’re reading this, you probably care about making sure everyone gets a fair shot at surviving climate change. Policymakers, community members, and researchers are all scrambling to create climate policies that are fair and effective. But many officials stick to old policies out of habit or pressure. This means that existing inequalities stay in place, which is a big problem!

To create better policies, we need to understand who is vulnerable and who benefits from current systems. We also need to make sure that vulnerability indicators are designed to be useful across different hazards and locations.

The Need for Better Indicators

In order to make climate adaptation plans, we need more reliable vulnerability indicators. This means knowing who is actually at risk and who is benefiting from any given policy. The terms "vulnerability" and "Equity" can be confusing because they mean different things to different people. Also, the way these concepts are defined can vary by location, which adds another layer of complexity to the problem.

Our Method of Inquiry

We used an international survey to gather responses from 645 residents in each of the five cities. That’s a grand total of 3,224 people sharing their experiences! We asked about their exposure to extreme weather and collected demographic information like income level, age, education, and self-perceptions of vulnerability. We even included less common identifiers, like whether someone identifies as queer or has a disability.

The aim was to see how these different characteristics affect someone’s experience with extreme weather. For example, if someone feels more vulnerable or has faced Discrimination, will they report a different experience in comparison to someone who hasn’t?

Analyzing the Data

To figure out which characteristics had the biggest influence on extreme weather exposure, we used a fancy method called feature importance analysis, specifically using something called gradient-boosted decision trees. I know, it sounds like a mouthful, but it basically helps us figure out which traits matter most.

Key Findings

It’s Not Just About Money

Our analysis showed that traditional factors like income and education aren’t always the most important indicators of vulnerability. In fact, characteristics like self-perceived vulnerability and discrimination often ranked higher in importance. This means that how people view their own safety can have a big impact on how they experience climate hazards.

Context Matters

Each city had its own unique features, and vulnerability indicators need to match that uniqueness. For example, the factors affecting someone in Buenos Aires may not be the same for someone in New York City. The context and local conditions can change everything.

New Indicators of Vulnerability

We found that including questions about self-perceptions and identities that aren’t usually part of vulnerability measures made a significant difference. Queer identity, disability identity, and language can actually provide more insight into someone’s experience with climate risks than traditional factors like age or income.

Climate Adaptation Strategy

With these insights, we can start crafting better climate adaptation strategies. Policies could be designed with a better understanding of who’s really at risk. This means including more community voices in the conversation and considering their lived experiences to create plans that work for everyone.

Managed Retreat: A Closer Look

Managed retreat is one solution for communities facing extreme risks. This involves relocating people from high-risk areas to safer places. While this might sound simple, it’s far from it. People often have strong attachments to their homes and neighborhoods, and the idea of moving can bring up a lot of emotions and concerns.

Additionally, we need to ensure that managed retreat focuses on including equitable solutions. If not, we could risk creating more inequalities, which is the last thing we want.

Conclusion

In a world where climate change threatens many, understanding vulnerability is essential. By moving beyond traditional indicators and incorporating new measures that reflect lived experiences, we can create better policies for all. The growing need for inclusive climate adaptation strategies calls for using a diverse set of measures to capture the complex relationships between individuals and their environments.

Let’s make sure that as we tackle climate change, we’re doing it in a way that lifts everyone up, not just a select few. And hey, if we can also manage to keep our sense of humor intact while saving the world, that’s a win-win!

Original Source

Title: Feature Importance of Climate Vulnerability Indicators with Gradient Boosting across Five Global Cities

Abstract: Efforts are needed to identify and measure both communities' exposure to climate hazards and the social vulnerabilities that interact with these hazards, but the science of validating hazard vulnerability indicators is still in its infancy. Progress is needed to improve: 1) the selection of variables that are used as proxies to represent hazard vulnerability; 2) the applicability and scale for which these indicators are intended, including their transnational applicability. We administered an international urban survey in Buenos Aires, Argentina; Johannesburg, South Africa; London, United Kingdom; New York City, United States; and Seoul, South Korea in order to collect data on exposure to various types of extreme weather events, socioeconomic characteristics commonly used as proxies for vulnerability (i.e., income, education level, gender, and age), and additional characteristics not often included in existing composite indices (i.e., queer identity, disability identity, non-dominant primary language, and self-perceptions of both discrimination and vulnerability to flood risk). We then use feature importance analysis with gradient-boosted decision trees to measure the importance that these variables have in predicting exposure to various types of extreme weather events. Our results show that non-traditional variables were more relevant to self-reported exposure to extreme weather events than traditionally employed variables such as income or age. Furthermore, differences in variable relevance across different types of hazards and across urban contexts suggest that vulnerability indicators need to be fit to context and should not be used in a one-size-fits-all fashion.

Authors: Lidia Cano Pecharroman, Melissa O. Tier, Elke U. Weber

Last Update: 2024-11-15 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2411.10628

Source PDF: https://arxiv.org/pdf/2411.10628

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

Similar Articles