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This research aims to examine the wildfire vulnerability of part‐time and full‐time residents in the wildland‐urban interface (WUI) of Teton County, Wyoming. Are part‐time residents creating more of a vulnerability to the community because they do not live in the community all year, they have limited experience with wildfires, and they perceive Firewise activities as not being effective mitigation practices?

Data collection took place via a survey that inquired about respondents past wildfire experiences, if they do Firewise activities, and how effective they feel these wildfire home protection activities are. Responses were analyzed by Chi‐squared and t‐tests where appropriate.

The results of this study indicate that part‐time residents have the same past wildfire experiences and perceptions of Firewise activities, and do similar Firewise activities as full‐time residents. This suggests that these communities in Teton County may be more homogenous in their vulnerability than other wildfire communities.

Because of the limited geographic scope, results cannot be generalized for the entire county, the state of Wyoming, or other wildfire‐prone residential areas. Therefore, researchers are encouraged to investigate other WUI areas.

This research suggests that local and federal agencies in and near these communities talk to the residents of wildland‐interface communities and help them become less vulnerable to the wildfire hazard.

This research adds to the limited know of wildfire‐urban interface vulnerability and perceptions. It is significant because this interface will expand as amenity migration into these natural areas continues to occur.

This research aims to identify Brazil's socioeconomic vulnerability to wicked multi-problems arising from coronavirus disease 2019 (COVID-19) (2019–2020), from the most extensive (∼ 3,000 km) oil spill in tropical oceans (2019/2020) and from the highest rate of wildfires in the last decade.

To this end, the authors measured the socioeconomic vulnerabilities of the 27 Brazilian states to these multi-problems (COVID-19 + Oil Spill + wildFire), considering the effects of these events individually and together. In addition, the authors calculated the vulnerability indices using two variables: production value and number of jobs created by an economic activity.

Results show the states of São Paulo, Minas Gerais, and Rio de Janeiro as the most susceptible, with a potential loss of 74.2% in production value and 47% in active employment relationships, caused by these overlapping events in time. The results also demonstrate that the country has failed in the coordination and management of these events (separately and jointly), showing difficulties especially in the stages of immediate response and recovery.

Regarding its contributions, this paper innovates by establishing an unprecedented overlap of wicked problems, linking this concept to the analysis of socioeconomic vulnerability of the affected communities, through a model that applies to other regions worldwide.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2021-0536

This chapter analyzes the link between the digital divide, infrastructure regulation, and disaster planning and relief through a case study of the flood in San Jose, California triggered by the Anderson dam’s overtopping in February 2017 and an examination of communication failures during the 2018 wildfire in Paradise, California. This chapter theorizes that regulatory decisions construct social and disaster vulnerability. Rooted in the Whole Community approach to disaster planning and relief espoused by the United Nations and the Federal Emergency Management Agency, this chapter calls for leadership to end the digital divide. It highlights the imperative of understanding community information needs and argues for linking strategies to close the digital divide with infrastructure and emergency planning. As the Internet’s integration into society increases, the digital divide diminishes access to societal resources including disaster aid, and exacerbates wildfire, flood, pandemic, and other risks. To mitigate climate change, climate-induced disaster, protect access to social services and the economy, and safeguard democracy, it argues for digital inclusion strategies as a centerpiece of community-centered infrastructure regulation and disaster relief.

Natural hazards such as floods, wildfires and droughts disrupt communities, their economies and environments, and cost millions every year. The existing literature on hazard mitigation shows that community resilience is best achieved when mitigation strategies are integrated with land use and comprehensive planning. The purpose of this paper is to evaluate the strengths and weaknesses of hazard mitigation in local comprehensive plans.

The analysis uses a new plan evaluation protocol that integrates flood, wildfire and drought mitigation to evaluate the plans of the six largest and fastest growing counties in Arizona.

The study finds that counties do not plan equally well for all hazards, that they tend to plan better for droughts than wildfires and floods, and indicates the need to improve hazard information in plans to support the adoption of mitigation goals, objectives and strategies.

The research is based on a small sample of comprehensive plans. It focuses on the content of plans rather than the causes that may explain this content or the implementation of the strategies included in the plans. Future research will thus need to analyze larger numbers of plans to identify the determinants of the degree to which comprehensive plans integrate hazard mitigation; and evaluate whether strategies advanced in plans are integrated with other planning documents and implemented.

The paper makes recommendations to improve the plans evaluated and to guide planners as they develop or revise comprehensive plans in other jurisdictions subject to natural hazards.

The key methodological contribution of the paper is the new plan evaluation protocol designed to assess the wildfire, drought and flood mitigation provisions in comprehensive plans.

Peat swamp forest fire hazard areas were identified and mapped by integrating GIS‐grid‐based and multi‐criteria analysis to provide valuable information about the areas most likely to be affected by fire in the Pekan District, south of Pahang, Malaysia. A spatially weighted index model was implemented to develop the fire hazard assessment model used in this study. Fire‐causing factors such as land use, road network, slope, aspect and elevation data were used in this application. A two‐mosaic Landsat TM scene was used to extract land use parameters of the study area. A triangle irregular network was generated from the digitized topographic map to produce a slope risk map, an aspect risk map and an elevation risk map. Spatial analysis was applied to reclassify and overlay all grid hazard maps to produce a final peat swamp forest fire hazard map. To validate the model, the actual fire occurrence map was compared with the fire hazard zone area derived from the model. The model can be used only for specific areas, and other criteria should be considered if the model is used for other areas. The results show that most of the actual fire spots are located in very high and high fire risk zones identified by the model.

This study integrates high spatial resolution remote sensor data with geographic information system (GIS) data and multi‐criteria analysis to develop a methodology to model disaster risk for flood risk management and in peat swamp forest fires in order to assist in providing decision support systems for emergency operations and disaster prevention. Landslides are the result of a wide variety of processes, including geological, geomorphological and meteorological factors. Spatial technology has the ability to assess and estimate regions of landslide hazard by creating thematic maps and overlapping them to produce a final hazard map which classifies regions according to three categories of risk.

Emergency evacuation plans are often developed under the assumption that evacuees will use wayfinding strategies such as taking the shortest distance route to their nearest exit. The purpose of this paper is to analyze empirical data from a wildfire evacuation analyzed to determine whether evacuees took a shortest distance route to their nearest exit and to identify any alternate wayfinding strategies that they may have used.

The wildfire evacuation analysis presented in this paper is the outcome of a natural experiment. A post-fire online survey was conducted, which included an interactive map interface that allowed evacuees to identify the route that they took. The survey results were integrated with several additional data sets using a GIS. Network analysis was used to compare the routes selected by evacuees to their shortest distance routes, and statistical hypothesis testing was employed to identify the wayfinding strategies that may have been used.

The network analysis revealed that 31 percent of evacuees took a shortest distance route to their nearest exit. Hypothesis testing showed that evacuees selected routes that had significantly longer distances and travel times than the shortest distance routes, and indicated that factors such as the downhill slope percentage of routes and the elevation of exits may have impacted the wayfinding process.

This research is best regarded as a spatiotemporal snapshot of wayfinding behavior during a single wildfire evacuation, but could inspire additional research to establish more generalizable results.

This research may help emergency managers develop more effective wildfire evacuation plans.

This research presents an analysis of an original data set that contributes to the broader body of scientific knowledge on wayfinding and spatial behavior during emergency evacuations.

Disasters do not discriminate. Socio-political systems create the circumstances by which hazards disproportionately impact some individuals more than others. It is also these systems that either provide policies, procedures, and processes to help every person recover in an effective and positive manner, or create further inequalities and inequities leading to additional harm and delivering insufficient opportunities for substantial recovery. This chapter seeks to explore the unique disaster response considerations that must be taken into account for individuals with access and functional needs, and the subsequent challenges in recovery that may be experienced by this population. This exploration will be through the lens of justice, including the roles of equality, equity, and human rights. More specifically, this chapter will examine Jerolleman’s principles for Just Recovery and the applicability of this concept to individuals with access and functional needs.