Place attachment and disasters: Knowns and unknowns

Jamali, Mehdi; Nejat, Ali

doi:10.5055/jem.2016.0299

Cited by 27 publications

(6 citation statements)

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“…The person element concerns the actor who is attached; place concerns the object of attachment, including concrete and abstract elements of a place to which one is attached; psychological process refers to (how the attachment manifests; psychological elements of attachment; see also, Lewicka, 2011 ; Counted, 2016 ; Manzo and Devine-Wright, 2020 ). To contextualize this framework for disaster settings, Jamali and Nejat (2016) provide a broad conceptual map of demographic, socioeconomic, spatial and psychological factors that act as ‘parameters of place attachment’. However, they do not delve into the psychological factors.…”

Section: Background and Frameworkmentioning

confidence: 99%

How schools can aid children’s resilience in disaster settings: The contribution of place attachment, sense of place and social representations theories

et al. 2022

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Disasters incurred by natural hazards affect young people most. Schools play a vital role in safeguarding the wellbeing of their pupils. Consideration of schools’ psychosocial influence on children may be vital to resilience-building efforts in disaster-vulnerable settings. This paper presents an evidence-based conceptualization of how schools are psychosocially meaningful for children and youth in disaster settings. Drawing on Social Representations and Place Attachment Theories, we explore the nature of group-based meaning-making practices and the meanings that emerge concerning school environments in disaster settings. We contribute a novel understanding of how schools may mitigate psychosocial risk for young people by considering how schools are conceptualised at four levels: (1) as physical environment, (2) as social arena, (3) as a place with individual and (4) group-based significance. In each of these domains schools can foster disaster resilience in young people. This paper highlights the evidence concerning the functions of schools beyond their capacity as educational institutions, critically considering their social and physical functions in their communities. This evidence can inform stakeholders involved in disaster resilience building.

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Section: Background and Frameworkmentioning

confidence: 99%

How schools can aid children’s resilience in disaster settings: The contribution of place attachment, sense of place and social representations theories

et al. 2022

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“…Place attachment is the residents' loyalty to their place of living developed by place identity and place dependency. While place identity refers to the individuals' perception of identity with respect to the neighborhood, place dependency denotes accommodation of their needs by the neighborhood resources [7,[58][59][60]. Place attachment has been reported to influence recovery of households, for instance, recovery of New Orleans following Hurricane Katrina [13], Rockaway Park, New York [8], and Sea Bright, New Jersey [9], after Hurricane Sandy, and Moore, Oklahoma, in the aftermath of the 2013 tornado [61].…”

Section: Drivers Of Recoverymentioning

confidence: 99%

Perceived neighborhood: Preferences versus actualities

Moradi¹,

Nejat

et al. 2020

International Journal of Disaster Risk Reduction

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Housing recovery plays a key role in the overall restoration of a community. A multitude of factors affect housing recovery, many of which are associated with interactions of residents with their perceived neighborhoods. Targeting perceived neighborhoods rather than administratively defined measures of land helps with devising recovery plans that could better address social preferences of the residents. However, such measures are commonly subject to collection of information via expensive and time-consuming surveys. The current research aims to contribute to the domain by exploring the relationship between perception of households of their neighborhood anchors (perceived anchors) and the anchors that exist within perceived neighborhood boundaries (actual anchors). The goal is to propose a model for classifying households' perceived anchors from publicly available data on actual anchors.Data were collected on households' attributes, perceived neighborhood boundaries, and perceived community anchors through an online survey of New York and Louisiana residents. Actual anchors were mined from the OpenStreetMap database. Correlation analysis revealed several significant associations between actual and perceived anchors. A multilayer feed-forward neural network model was also developed to predict the classification of households' perceived anchors from actual anchors. Sensitivity analysis of the model disclosed that individuals whose perceived neighborhood comprised more categories of actual anchors were more likely to prioritize infrastructure to other neighborhood assets, a preference that was more dominant in high-density areas.

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“…Social capital is referred to as the engine of recovery (Aldrich, 2010(Aldrich, , 2012 and is defined as the collaboration among community members to share resources and to achieve common goals (Jamali and Nejat, 2016). As a contributor to social capital, trust enhanced recovery of western China (Yandong, 2007) and Indiana towns (Sadri et al, 2018).…”

Section: Interactive Driversmentioning

confidence: 99%

“…Further, place attachment can affect recovery decisions. Place attachment is the residents' loyalty to their place of living since it accommodates their needs or brings them a sense of identity (Jamali and Nejat, 2016). Chamlee-Wright and Storr (2009) reported influence of sense of place on New Orleans post-Katrina recovery.…”

Section: Interactive Driversmentioning

confidence: 99%

A spatially explicit model of postdisaster housing recovery

Nejat

Javid

Ghosh

et al. 2019

Computer aided Civil Eng

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Although post-disaster housing recovery is an important player in community recovery, its modeling is still in its infancy. This research aims to provide a spatial regression model for predicting households' recovery decisions based on publicly available data. For this purpose, a hierarchical Bayesian geostatistical model with random spatial effects was developed. To calibrate the model, households' data that were collected from Staten Island, New York in the aftermath of Hurricane Sandy were used. The model revealed that on the scale of census tract, residents with higher income or larger household size were significantly less likely to reconstruct. In contrast, odds of reconstruction rose with increase of long-term residents. The model outputs were also employed to develop a reconstruction propensity score for each census tract. The score predicts probability of reconstruction/repair in each tract versus others. The model was validated through comparison of the propensity scores with the distribution of Community Development Block Grant Disaster Recovery (CDBG-DR) assistance and its resultant reconstruction. The validation indicated capability of the model to predict the potential hotspots of reconstruction. Accordingly, the propensity score can serve as a decision-support tool to tailor recovery policies.

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Place attachment and disasters: Knowns and unknowns

Cited by 27 publications

References 0 publications

How schools can aid children’s resilience in disaster settings: The contribution of place attachment, sense of place and social representations theories

How schools can aid children’s resilience in disaster settings: The contribution of place attachment, sense of place and social representations theories

Perceived neighborhood: Preferences versus actualities

A spatially explicit model of postdisaster housing recovery

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