Returning home after Superstorm Sandy: phases in the return-entry process

Siebeneck, Laura K.; Schumann, Ronald L.; Kuenanz, Britt-Janet; Lee, Seungyoon; Benedict, Bailey C.; Jarvis, Caitlyn M.; Ukkusuri, Satish V.

doi:10.1007/s11069-020-03869-1

Cited by 11 publications

(6 citation statements)

References 49 publications

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“…The empirical illustration extends our previous work in Lee et al (2020) and Siebeneck et al (2020). Specifically, we build on Lee et al (2020), wherein we examined the sources and types of support and barrier experienced by households during their long-term recovery from Hurricane Sandy.…”

Section: Empirical Illustrationmentioning

confidence: 88%

“…Thus, conversation among participants becomes the central activity, as stories emerge through an exchange of ideas and realities. When using focus groups, offering participants a way to share information about their network privately can facilitate their recollection and inject more comprehensiveness into the research (see, for example, Siebeneck et al, 2020), particularly when attempting to assess all of the sources or types of relations.…”

Section: Social Network Analysis In Disaster Researchmentioning

confidence: 99%

“…The storm context, sample, and data collection are described in detail in our previous articles (Lee et al, 2020, pp. 442–444; Siebeneck et al, 2020, pp. 199–201).…”

Section: Empirical Illustrationmentioning

confidence: 99%

See 2 more Smart Citations

Utilising qualitative data for social network analysis in disaster research: opportunities, challenges, and an illustration

Benedict

Lee²,

Jarvis

et al. 2023

Disasters

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An abundance of unstructured and loosely structured data on disasters exists and can be analyzed using network methods. This paper overviews the use of qualitative data in quantitative social network analysis in disaster research. We discuss two types of networks, each with a relevant major topic in disaster research (i.e., whole network approaches to emergency management networks and personal network approaches to the social support of survivors) and four usable forms of qualitative data. We explain five opportunities afforded by these approaches revolving around their flexibility and ability to account for complex network structures. Next, we present an empirical illustration that extends our previous work examining the sources and types of support and barrier experienced by households during long‐term recovery from Superstorm Sandy, wherein we utilized quantitative social network analysis on two qualitative datasets (Lee et al., 2020). We discuss three challenges for these approaches related to the samples, coding, and bias.

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Section: Empirical Illustrationmentioning

confidence: 88%

Section: Social Network Analysis In Disaster Researchmentioning

confidence: 99%

See 1 more Smart Citation

Utilising qualitative data for social network analysis in disaster research: opportunities, challenges, and an illustration

Benedict

Lee²,

Jarvis

et al. 2023

Disasters

Self Cite

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“…Achieving high compliance with return plans poses significant challenges for emergency managers. Populations returning too early can cause issues such as a lack of resources to sustain their basic needs (Salih, 1996; Waller, 2005), traffic jams during the return trip (Dash and Morrow, 2000), exposure to hazardous waste materials transported by flood waters (Tillett, 2006), presence of unstable buildings, mold and lack of utilities (McEntire and Cope, 2004; Siebeneck et al , 2020) and exposure to post-disaster risks stemming from falling trees, carbon monoxide poisoning and downed power-lines (Bourque et al , 2007). Given the various threats that can be present in disaster zones, achieving high compliance with return plans is essential.…”

Section: Compliance With Return Plansmentioning

confidence: 99%

The disaster return-entry process: a discussion of issues, strategies and future research

Siebeneck

Cova

2021

DPM

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PurposeReturn-entry is understudied in the disaster science literature. This paper provides an overview of the return-entry process, identifies key factors informing the selection of return strategy, proposes a simple classification of return strategies and offers ideas for advancing research in this area.Design/methodology/approachThis paper explores previous research and recent return-entry processes in order to advance understanding of strategies emergency managers employ and decisions they make when managing the return movement of evacuees home after disasters.FindingsThe paper offers new insights into the management of the return movement, proposes primary factors considered when developing return strategies and offers a framework for the selection of strategies utilized by emergency managers.Originality/valueGiven that return-entry is a burgeoning area of inquiry in disaster science, this paper advances knowledge and understanding of return-entry movements after disasters and outlines key research needs.

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“…There has been much work on disaster recovery of physical networks such as power grids (Rinaldi et al., 2001), transportation (Murray-Tuite, 2006), and water systems (Krueger et al., 2019b). Similarly, there has been work to understand the social effects on the recovery process (Siebeneck et al., 2020). However, we lack a clear understanding of the interplay between the physical and social networks and how each of the adaptive capacities embedded in these networks contribute to recovery.…”

Section: Introductionmentioning

confidence: 99%

Regional differences in resilience of social and physical systems: Case study of Puerto Rico after Hurricane Maria

Yabe

Rao

2020

Environment and Planning B: Urban Analytics and City Science

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Physical infrastructure networks in diverse urban settlements are designed to be robust and reliable, while the socio-economic systems offer the necessary adaptive capacity at household, city, and regional scales to recover from major service disruptions resulting from disasters. Here, our urban resilience analyses are based on exploring explicit links between the physical infrastructure/assets and the socio-economic systems. Increased availability of high-quality data from mobile devices allows quantification of diverse socio-economic metrics and thus enables tracking city- and regional-scale community recovery from disasters. Here, recovery trajectories for five regions within Puerto Rico island with differences in socio-economic status (e.g., median income) after Hurricanes Irma and Maria are analyzed using large-scale mobility data and are combined with earlier synthesis of seven global cities based on capital portfolio analysis. Systemic inequalities are manifested in highly variable ability to cope with chronic shocks and recovery from extreme events. Island urban communities face the geographic-isolation effect, legacy socioeconomic constraints, and chronic inefficiencies in governance, all of which delay recovery from disasters. Hurricane recovery efforts include two types of responses. First, in larger urban areas, households use their social ties and financial resources to evacuate to larger cities and return when damaged facilities and infrastructure are repaired. Second, smaller urban communities are already adapted to coping with inadequate critical services and experience disproportionate impacts of disasters. Lacking socio-economic resources, such communities self-organize to access local and external resources and actively engage in repairing and rebuilding damaged facilities. However, recovery is much slower than their counterparts in larger cities. Given the interdependencies of connected social and physical systems and cross-scale feedbacks, such inequalities must be addressed at both city and regional scales to continue progress in urban community preparedness for and recovery from disasters.

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Returning home after Superstorm Sandy: phases in the return-entry process

Cited by 11 publications

References 49 publications

Utilising qualitative data for social network analysis in disaster research: opportunities, challenges, and an illustration

Utilising qualitative data for social network analysis in disaster research: opportunities, challenges, and an illustration

The disaster return-entry process: a discussion of issues, strategies and future research

Regional differences in resilience of social and physical systems: Case study of Puerto Rico after Hurricane Maria

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