Patricia Romero-Lankao

Exploring the relationships between urbanization trends and climate change vulnerability

There is increasing scientific and political interest in the links between urbanization and human vulnerability to climate change. However, our literature review shows that the existing scholarship has largely focused on exposure resulting from urbanization, while other dimensions of urban vulnerability such as sensitivity or capacity to cope and adapt have been insufficiently represented or understood. Furthermore, most attention has been given to the negative effects of urbanization, while opportunities for vulnerability reduction have been underemphasized. Therefore, this paper takes a broader perspective to explore key relationships between urbanization, economic development and socio-economic vulnerability on a global scale. Using data with national resolution, we applied a clustering approach to identify ten country groups sharing similar patterns of urbanization and national income. We then explored associations between these country groups and selected indicators of exposure, sensitivity, coping capacity, and adaptive capacity drawing upon data from the World Risk Index. Our findings suggest that countries with rapid urbanization and economic transformation face significant challenges with respect to sensitivity and the lack of capacities. Additionally, these challenges tend to be greater the lower the income of the respective country. Yet, at the same time, urbanization can be a main driver for enhancing response capacity. The analysis suggests that urbanization can, hence, have nuanced effects on overall vulnerability. We argue that climate change science needs to be more balanced in terms of acknowledging and examining the different possible pathways of vulnerability effects related to urbanization. The country group analysis can provide a first entry point.

Exploration of health risks related to air pollution and temperature in three Latin American cities

This paper explores whether the health risks related to air pollution and temperature extremes are spatially and socioeconomically differentiated within three Latin American cities: Bogota, Colombia, Mexico City, Mexico, and Santiago, Chile. Based on a theoretical review of three relevant approaches to risk analysis (risk society, environmental justice, and urban vulnerability as impact), we hypothesize that health risks from exposure to air pollution and temperature in these cities do not necessarily depend on socio-economic inequalities. To test this hypothesis, we gathered, validated, and analyzed temperature, air pollution, mortality and socioeconomic vulnerability data from the three study cities. Our results show the association between air pollution levels and socioeconomic vulnerabilities did not always correlate within the study cities. Furthermore, the spatial differences in socioeconomic vulnerabilities within cities do not necessarily correspond with the spatial distribution of health impacts. The present study improves our understanding of the multifaceted nature of health risks and vulnerabilities associated with global environmental change. The findings suggest that health risks from atmospheric conditions and pollutants exist without boundaries or social distinctions, even exhibiting characteristics of a boomerang effect (i.e., affecting rich and poor alike) on a smaller scale such as areas within urban regions. We used human mortality, a severe impact, to measure health risks from air pollution and extreme temperatures. Public health data of better quality (e.g., morbidity, hospital visits) are needed for future research to advance our understanding of the nature of health risks related to climate hazards.

A critical knowledge pathway to low‐carbon, sustainable futures: Integrated understanding of urbanization, urban areas, and carbon

Independent lines of research on urbanization, urban areas, and carbon have advanced our understanding of some of the processes through which energy and land uses affect carbon. This synthesis integrates some of these diverse viewpoints as a first step toward a coproduced, integrated framework for understanding urbanization, urban areas, and their relationships to carbon. It suggests the need for approaches that complement and combine the plethora of existing insights into interdisciplinary explorations of how different urbanization processes, and socio-ecological and technological components of urban areas, affect the spatial and temporal patterns of carbon emissions, differentially over time and within and across cities. It also calls for a more holistic approach to examining the carbon implications of urbanization and urban areas, based not only on demographics or income but also on other interconnected features of urban development pathways such as urban form, economic function, economic-growth policies, and other governance arrangements. It points to a wide array of uncertainties around the urbanization processes, their interactions with urban socio-institutional and built environment systems, and how these impact the exchange of carbon flows within and outside urban areas. We must also understand in turn how carbon feedbacks, including carbon impacts and potential impacts of climate change, can affect urbanization processes. Finally, the paper explores options, barriers, and limits to transitioning cities to low-carbon trajectories, and suggests the development of an end-to-end, coproduced and integrated scientific understanding that can more effectively inform the navigation of transitional journeys and the avoidance of obstacles along the way.

Challenges to adaptation: a fundamental concept for the shared socio-economic pathways and beyond

The framework for the new scenarios being developed for climate research calls for the development of a set of Shared Socioeconomic Pathways (SSPs), which are meant to differ in terms of their challenges to mitigation and challenges to adaptation. In order for the scenario process to fulfill its goals, the research and policy communities need to develop a shared understanding of these concepts. This paper focuses on challenges to adaptation. We begin by situating this new concept in the context of the rich literatures related to inter alia adaptation, vulnerability, and resilience. We argue that a proper characterization of challenges to adaptation requires a rich, exploration of the concept, which goes beyond mere description. This has a number of implications for the operationalization of the concept in the basic and extended versions of the SSPs. First, the elements comprising challenges to adaptation must include a wide range of socioeconomic and even some (non-climatic) biophysical factors. Second, careful consideration must be given to differences in these factors across scales, as well as cross-scale interactions. Third, any representation of the concept will require both quantitative and qualitative elements. The scenario framework offers the opportunity for the SSPs and full scenarios to be of greater value than has been the case in past exercises to both Integrated Assessment Modeling (IAM) and Impacts, Adaptation, and Vulnerability (IAV) researchers, but this will require a renegotiation of the traditional, primarily unidirectional relationship between the two communities.

Climate Change and U.S.-Mexico Border Communities

While the U.S.-Mexico border has been called a “third country” and has been identified as a distinct region (Anzaldua 1987), the challenges it faces are due in large measure to its high degree of integration into global processes of economic and environmental change. The border region is characterized by a so-called “double exposure” (Leichenko and O’Brien 2008)—meaning that environmental change in the region is driven by accelerated processes of global economic integration (such as foreign-owned industries and international migration) coupled with intensive climate change. It is critical to understand the drivers of climate-related vulnerability and capacities for adaptation in the region in the context of the region’s distinct history and contemporary challenges, shared climate regime, transboundary watersheds and airsheds, and interdependent economies and cultures.

How to embrace uncertainty in participatory climate change risk management—A roadmap

The Earths future depends on how we manage the manifold risks of climate change. It is state-of-the-art to assume that risk reduction requires participatory management involving a broad range of stakeholders and scientists. However, there is still little knowledge about the optimal design of participatory climate change risk management processes (PRMPs), in particular with respect to considering the multitude of substantial uncertainties that are relevant for PRMPs. To support the many local to regional PRMPs that are necessary for a successful global-scale reduction of climate change risks, we present a roadmap for designing such transdisciplinary knowledge integration processes. The roadmap suggests ways in which uncertainties can be comprehensively addressed within a PRMP. We discuss the concept of climate change risks and their management and propose an uncertainty framework that distinguishes epistemic, ontological and linguistic uncertainty as well as ambiguity. Uncertainties relevant for climate change risk management are identified. Communicative and modeling methods that support social learning as well as the development of risk management strategies are proposed for each of six phases of a PRMP. Finally, we recommend how to evaluate PRMPs as such evaluations and their publication are paramount for achieving a reduction of climate change risks.

Science and institution building in urban climate-change policymaking

As cities develop climate-change policies, they are likely to engage with and produce new science and information. What influences the choices cities make about this engagement? Our aim is to understand the differences in the ways city governments structure their relationship to climate-change science and expertise, and the extent to which these choices reflect broader governance orientations towards climate change as a policy area. The climate-change policy processes of Delhi and Mexico City are used as case studies. The two cities have made different choices about the structure and formality of the science–policy interface, and demonstrate that policymakers’ choices about engaging scientific expertise are embedded in broader administrative and political systems. Examining the science–policy dynamics in urban climate-change policy suggests ways forward for future research, as there are likely to be political and policy consequences and trade-offs with different approaches to structuring the science–policy interface.

Urban Adaptation Planning and Governance: Challenges to Emerging Wisdom

Numerous recommendations are emerging to guide cities in developing risk assessments and climate adaptation plans. In some instances, these recommendations are appropriate. However, since many are drawn from traditional approaches to comprehensive planning and from climate mitigation programs, they often do not account for the unique challenges associated with urban adaptation or provide guidance that is sensitive to the distinctive social, cultural, institutional, and administrative characteristics of particular locales. In this paper, which captures a panel discussion convened at the Resilient Cities Congress 2010, expert practitioners and academics review emerging wisdom about best practices in adaptation planning, draw on their experience and research findings to challenge these assumptions, and show what we can learn about process and outcomes from cities at the forefront.

Examining urban inequality and vulnerability to enhance resilience: insights from Mumbai, India

Understanding how households, ranging from poor to wealthy differ in levels of vulnerability to hazards, such as floods and heat waves and knowledge of the mechanisms creating this difference is fundamental to enhancing resilience, fairly, across urban populations. A complex problem exists, however, in determining the relative influences of various attributes of wealth and vulnerability. In this paper we apply a livelihoods framework to characterize urban households by the resources or assets that comprise their livelihoods. We then combine a fuzzy logic approach with an analytic hierarchy process (ANH), to examine the relative influence of wealth (poverty), exposure, sensitivity and capacity on vulnerability to climate hazards in Mumbai, India. While research on urban resilience has grown considerably in recent years, this paper belongs to the few studies that have examined the relative influence of wealth and capacity on differences in vulnerability within and across household classes in cities. We find that under current climate change conditions, differences in wealth and capacity largely account for the high household vulnerability levels in Mumbai. While this pattern might change in a future (warmer) world, without a profound transformation, it is hard to imagine that the change would be for the better.

Chapter 10 Urban Vulnerability and Adaptation to the Health Impacts of Air Pollution and Climate Extremes in Latin American Cities

Purpose – The vulnerability and adaptive capacities of cities in Latin America have received relatively less attention compared to other regions of the world. This chapter seeks to address these gaps by (a) examining vulnerability to the health impacts from air pollution and temperature, and exploring whether socioeconomic factors between neighborhoods differentiate these risks within the cities of Bogota, Buenos Aires, Mexico City, and Santiago and (b) assessing the capacity of urban populations to perceive and respond to vulnerability and risk. Design/methodology/approach – Because of the complex nature of vulnerability, we combined a set of quantitative and quantitative methods and data to determine whether and under what conditions the people in these cities are vulnerable (e.g., Time Series Analysis, Generalized Linear Model, and statistical correlations of exposure and human mortality with socioeconomic vulnerability). Findings – We found high levels of PM10, ozone, and other criteria air pollutants in three cities for which we had data. However, the pattern of their impacts on health depends on the particulars of pollutant levels and atmospheric and weather conditions of each city. Our results reflect the varied facets of urban vulnerability and shed light on the nature of the associated human health risks. Although wealthy populations have access to education, good quality housing, and health services to mitigate some environmental risks, overall the data show that health impacts from air pollution and temperature in the study cities do not necessarily depend on socioeconomic differentiations. Research limitations/implications – Although we sought to use quantitative and qualitative methods, given the complexity of the research, it has proven difficult to fully explore these issues across scales and with a full accounting of local context. Practical implications – Our findings show that wealthy and educated populations may be equally at risk to the health implications of air pollution. Policies designed to mitigate these risks should not use socioeconomic characteristics as predictors of a populations risk in relation to air pollution. Originality/value – This research contributes valuable insights into the dynamics of vulnerability to air pollution in Latin American cities, a region that has been historically underrepresented in empirical studies of urban risk. We have also combined a range of methods and approaches to improve our understanding of the multifaceted nature of urban vulnerability to global environmental change.