Social media data have emerged as a new source for detecting and monitoring disaster events. A number of recent studies suggested that social streams can be used to mine actionable emergency response relief operation. However, no effort has been made classify into stages management (mitigation, preparedness, response, recovery), which common reference researchers managers decades organize information streamline priorities activities during the course disaster. This paper makes an initial in...

Abstract Taking publicly funded projects in STEM education as a special lens, we aimed to learn about research and trends education. We identified total of 127 by the Institute Education Sciences (IES) US Department from 2003 2019. Both number their funding amounts were high, although there considerable fluctuations over years. The with multiple principal investigators increased time. project duration was typically range 3–4 years, goals these mostly categorized “development innovation” or...

Rapidly urbanising areas along the world’s coasts are exposing greater numbers of households to more frequent and severe natural man-made disasters. Knowledge gained from disaster situations can provide insight into larger urban forces play a role in developing prescribing policies that influence creation resilient communities. This article explores interdependency businesses post-disaster return following 2008’s Hurricane Ike Galveston, Texas. Geocoded data 980 145 collected months after...

Problem, research strategy, and findings: Stakeholder participation facilitates efficient identification of recovery needs, dynamic exchange information, consolidation diverse perspectives as well builds long-term trust social capital between stakeholders. Yet, planners often fail to use the full potential participatory planning when they are caught in fast-paced, uncertain, complex post-disaster environment. We draw lessons from case studies on after three major disasters: Indian Ocean...

The authors seek to contribute the understanding of post-disaster community interdependencies by examining recovery linkages between businesses and households. Specifically, this research looks identify household dimensions that affect quality in Lumberton, North Carolina, after 2016 Hurricane Matthew. Through an interdisciplinary field study 15 months hurricane, were asked about loss customers various labor disruptions they experienced. Logistic regression used examine impact these...

Abstract In this study, we reviewed publications in the International Journal of STEM Education from 2014 to 2021 gain a glimpse education research trends terms authorship and topics. We analyzed publication quantities types, authors’ profession, topics school levels, top 10 most-cited over years. The results provide some encouraging indications expanded engagement dynamic development worldwide.

Problem, research strategy, and findings: Little examines the effect of diversity on regional economic resilience to natural disasters. We examine whether benefits economies in typical circumstances recovery after a disaster, using case 1993 U.S. Midwest flood. By matching counties nine states affected by flood control counties, we isolate influence employment income normal substantial shock. found have mixed associations with circumstances. On average, economically diverse tended experience...

Disasters produce winners and losers. This paper evaluates such losers in a spatial context. The hypothesis is that, because of severe damage to the core disaster area constraints associated with cost transportation, economic demand would shift immediate edge zone where either minor or no observed. Empirical analysis growth patterns counties/parishes states Alabama, Louisiana, Mississippi United States after Hurricane Katrina (August 2005) verified hypothesis. study found that post-Katrina...

This paper provides fresh evidence on the status of business disaster planning, mitigation, and preparedness, effectiveness these activities loss reduction. Data from a survey businesses in Galveston County, Texas conducted 7 month after Hurricane Ike struck area September 2008 were analyzed. Different previous studies, study results showed that planning by significantly promoted adoption implementation hazard mitigation preparedness actions, most importantly, measures reduced physical...

With global climate change and rapid development in environmentally vulnerable areas, communities are increasingly looking for ways to manage, adapt to, mitigate adverse impacts from disaster events. To help achieve this goal, planners must first understand how various stakeholders behave post-disaster situations. In paper, we use household business surveys conducted New York City after the 2012 Hurricane Sandy examine recovery decisions of businesses compared households as well their...

Business recovery after a disaster plays an important role in the socioeconomic of community. This study focuses on development probabilistic modelling approach for quantifying and predicting business through Bayesian linear regression. The proposed consists three steps including data collection, model forms, selection rigorous evaluation elimination steps. Four attributes, namely cease operation days, revenue recovery, customer retention, employee which describe post-disaster state...

Most studies of the labor market impact natural disasters report findings drawn from observation one or a few geographic areas. In this study, we provide large-sample evidence unemployment based on an empirical assessment 320 counties affected by 1993 Midwest flood, costliest flood in US history. We undertake disaster economic analysis that combines quasi-experimental comparison group methods with econometric structural break point techniques. The combination research designs offers...

This article examines local recovery plans that were created in response to the Wenchuan earthquake and then suggests ways planners can better apply concept of sustainability process. We utilize a plan evaluation protocol analyze 16 counties towns severely affected by earthquake. also conducted semi-structured interviews with public officials planners, qualitative data gleaned from these being used supplement quality assessment. The results reveal do not appear have incorporated sufficiently...

2012’s Superstorm Sandy had a devastating impact on the New York City metropolitan region, including suburban Long Island coast and Jersey shore. Given size, density, complexity, diversity of many approaches have been used to address poststorm recovery. Planning has central these efforts. Using in-depth interviews with recovery stakeholders, this analysis planning responses illustrates what an emergent model resilient looks like highlights kinds resources that help facilitate approach. We...

Annexation is often touted as a strategy to improve the overall fiscal environment of municipality. The empirical literature on role annexation in municipal finance, however, has yielded inconsistent results. This article examines nearly 1,000 municipalities for its effects local government spending. Results show that spending influenced by annexation, but are complicated accompanying changes density levels. If accompanied higher densities, will certainly experience lower increases...

ABSTRACT This research uses time-series analysis under a quasi-experimental pair-wise matching design to examine local economic impacts of the 1993 Midwest flood. The data support concept overall resiliency natural disasters. flood's on total employment were minimal. Although significant drops in personal income observed year event, long-run effects seemed be negligible. study also finds that negative agriculture and long lasting some Midwestern communities. findings are quite stable with...

Community recovery from disasters depends on how its subunits, such as households, fare. But the current knowledge this topic is fragmented and undervalues a household's agency for action, which can result in narrowly designed, sometimes counterproductive, plans aid policies. In article, we examine various internal contextual characteristics of households to answer question, what factors influence household most how? Using logistical regression analysis random sample survey data collected...