Related Experiment Video
Updated: Jan 25, 2026
07:13
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
Published on: April 9, 2021
4.6K
Operationalizing the feedback between institutional decision-making, socio-political infrastructure, and
Andres Baeza1, Luis A Bojorquez-Tapia2, Marco A Janssen3
1School of Sustainability, Arizona State University, Tempe, AZ, USA; Julie Ann Wrigley Global Institute of Sustainability, Arizona State University, Arizona, USA.
Journal of Environmental Management
|April 29, 2019
Summary
Urban adaptation to climate change requires understanding how institutional decisions shape vulnerability to hazards like flooding. This study models decision-making to reveal socio-political impacts on urban vulnerability, aiding better planning.
Area of Science:
- Urban planning and climate adaptation science.
- Socio-hydrology and environmental governance.
- Spatial vulnerability assessment.
Background:
- Urban adaptation to climate change is driven by responses to hazards like flooding and water scarcity.
- Institutional and collective decisions, influenced by political and cultural factors, shape these responses and future vulnerabilities.
- Understanding the legacy of infrastructure investments and decision-making is crucial for vulnerability assessments.
Purpose of the Study:
- To present a novel modeling framework for exploring institutional decision-making and socio-political processes.
- To analyze the resultant effects of these processes on spatial patterns of urban vulnerability.
- To operationalize the framework with a case study on water governance in Mexico City.
Main Methods:
- Multi-criteria decision analysis (MCDA).
- Agent-based modeling (ABM).
- Geographic information system (GIS) simulation.
Main Results:
- The framework allows exploration of uncertainties, spatial patterns, and thresholds in vulnerability outcomes.
- Policy scenarios demonstrate sensitivities of vulnerability to different decision-making approaches.
- The Mexico City example operationalizes the framework for sociohydrological risk analysis.
Conclusions:
- Modeling institutional decision-making is vital for understanding and managing urban vulnerability.
- The framework provides a tool for empirically implementing sociohydrological risk assessments in urban environments.
- This approach can inform policy and planning for more resilient urban futures.
Keywords:
AdaptationAgent-based modelClimate changeFloodingGovernanceMulti-criteriaMulti-scaleProtestsWater scarcityMore Related Videos
Related Concept Videos
00:46Feedback Inhibition
57.0K
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
57.0K
01:01Feedback Loops
64.3K
In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
64.3K
01:24Effects of feedback
1.0K
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
1.0K
01:26Feedback control systems
706
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
706
01:24Facial Feedback Hypothesis
625
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
625
01:20Decision Making
938
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
938