Matching Items (3)
Description
ABSTRACT
This dissertation examined how seven federal agencies utilized Twitter during a major natural disaster, Hurricane Sandy. Data collected included tweets between October 26-31, 2012 via TweetTracker, as well as federal social media policy doctrines and elite interviews, to discern patterns in the guidance provided to federal public information officers (PIOs). While scholarly research cites successful local and state government efforts utilizing social media to improve response efforts in a two-way communications interaction, no substantive research addresses social media’s role in crisis response capabilities at the federal level.
This study contributes to the literature in three ways: it focuses solely on the use of social media by federal agencies in a crisis setting; it illuminates policy directives that often hamper federal crisis communication response efforts; and it suggests a proposed model that channels the flow of social media content for PIOs. This is especially important to the safety of the nation moving forward, since crises have increased. Additionally, Twitter was adopted only recently as an official communications tool in 2013. Prior to 2013, social media was applied informally and inconsistently.
The findings of this study reveal a reliance upon a one-way, passive communication approach in social media federal policy directives, as well as vague guidelines in existing crisis communications models. Both dimensions are counter to risk management and crisis communication research, which embrace two-way interactivity with audiences and specific messaging that bolsters community engagement, which are vital to the role of the PIO. The resulting model enables the PIO to provide relevant information to key internal agencies and external audiences in response to a future crisis.
This dissertation examined how seven federal agencies utilized Twitter during a major natural disaster, Hurricane Sandy. Data collected included tweets between October 26-31, 2012 via TweetTracker, as well as federal social media policy doctrines and elite interviews, to discern patterns in the guidance provided to federal public information officers (PIOs). While scholarly research cites successful local and state government efforts utilizing social media to improve response efforts in a two-way communications interaction, no substantive research addresses social media’s role in crisis response capabilities at the federal level.
This study contributes to the literature in three ways: it focuses solely on the use of social media by federal agencies in a crisis setting; it illuminates policy directives that often hamper federal crisis communication response efforts; and it suggests a proposed model that channels the flow of social media content for PIOs. This is especially important to the safety of the nation moving forward, since crises have increased. Additionally, Twitter was adopted only recently as an official communications tool in 2013. Prior to 2013, social media was applied informally and inconsistently.
The findings of this study reveal a reliance upon a one-way, passive communication approach in social media federal policy directives, as well as vague guidelines in existing crisis communications models. Both dimensions are counter to risk management and crisis communication research, which embrace two-way interactivity with audiences and specific messaging that bolsters community engagement, which are vital to the role of the PIO. The resulting model enables the PIO to provide relevant information to key internal agencies and external audiences in response to a future crisis.
ContributorsSmith, Ceeon D. Quiett (Author) / Matera, Fran (Thesis advisor) / Godfrey, Donald (Committee member) / Russell, Dennis (Committee member) / Nadesan, Majia (Committee member) / Arizona State University (Publisher)
Created2017
Description
The 2017 Atlantic hurricane season is considered as one of the costliest in U.S. history. In the case of the archipelago of Puerto Rico, 3.2 million people were without energy, approximately a third of the residents were without municipal water services, houses and larger infrastructures were severely damaged among other challenges. While both the local and federal government have been highlighted to be inefficient to meet resident’s needs, the people took the streets to assist family, neighbors as well as to collaborate with non-profits and faith-based groups. These organizational efforts allowed the supply of water, food, clothes, and emotional support in areas with the most needs. In light of this knowledge, this dissertation focuses on two main areas: (1) communities’ capacities to absorb and adapt in the wake of a disaster (2) how households addressed large-scale water infrastructure failure. I investigate resilience in the communities of Corcovada, Anasco and Mariana, Humacao, and water insecurity in the municipalities of Anasco, Rincon, and Mayaguez. I do this through a mixed-methods approach including semi-structured interviews, participant observations, and an open-ended structured protocol with egocentric network elicitation. I engage with the literature on social capital, water sharing, social networks in disaster context, autogestion (self-management) and informality to examine the dynamics occurring in response and recovery efforts. The three sub-study mixed-method dissertation examines: 1) how social capital in low-income communities can support resilience, 2) the role of social networks and water sharing to cope with water insecurity in the wake of Hurricane Maria, 3) autogestion (self-management) at the household and community level and how does it fit with both the larger political economic dynamics in the archipelago as well as the post-disaster context. The results have theoretical and practical implications for future hurricane planning in Puerto Rico and for other sites at high disaster risk around the world.
ContributorsRoque, Anais Delilah (Author) / Wutich, Amber (Thesis advisor) / Jepson, Wendy (Thesis advisor) / Brewis, Alexandra (Committee member) / Arizona State University (Publisher)
Created2021
Description
Natural disasters are occurring increasingly around the world, causing significant economiclosses. To alleviate their adverse effect, it is crucial to plan what should be done in response
to them in a proactive manner. This research aims at developing proactive and real-time
recovery algorithms for large-scale power networks exposed to weather events considering
uncertainty. These algorithms support the recovery decisions to mitigate the disaster impact, resulting in faster recovery of the network. The challenges associated with developing
these algorithms are summarized below:
1. Even ignoring uncertainty, when operating cost of the network is considered the problem will be a bi-level optimization which is NP-hard.
2. To meet the requirement for real-time decision making under uncertainty, the problem could be formulated a Stochastic Dynamic Program with the aim to minimize
the total cost. However, considering the operating cost of the network violates the
underlying assumptions of this approach.
3. Stochastic Dynamic Programming approach is also not applicable to realistic problem sizes, due to the curse of dimensionality.
4. Uncertainty-based approaches for failure modeling, rely on point-generation of failures and ignore the network structure.
To deal with the first challenge, in chapter 2, a heuristic solution framework is proposed, and its performance is evaluated by conducting numerical experiments. To address the second challenge, in chapter 3, after formulating the problem as a Stochastic Dynamic Program, an approximated dynamic programming heuristic is proposed to solve the problem. Numerical experiments on synthetic and realistic test-beds, show the satisfactory performance of the proposed approach. To address the third challenge, in chapter 4, an efficient base heuristic policy and an aggregation scheme in the action space is proposed. Numerical experiments on a realistic test-bed verify the ability of the proposed method to
recover the network more efficiently. Finally, to address the fourth challenge, in chapter 5, a simulation-based model is proposed that using historical data and accounting for the interaction between network components, allows for analyzing the impact of adverse events on regional service level. A realistic case study is then conducted to showcase the applicability of the approach.
ContributorsInanlouganji, Alireza (Author) / Pedrielli, Giulia (Thesis advisor) / Mirchandani, Pitu (Committee member) / Reddy, T. Agami (Committee member) / Ju, Feng (Committee member) / Arizona State University (Publisher)
Created2021