2019
DOI: 10.1080/1523908x.2019.1674135
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Urban social vulnerability and climate change in Rio de Janeiro city associated with population mobility

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Cited by 11 publications
(7 citation statements)
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“…Thus, social vulnerability indicators refer to people's resiliency capacity in response to an external stressor. These indicators are combined from several sociodemographic data categories, such as socioeconomic, demographic, neighborhood characteristics, and health [55].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, social vulnerability indicators refer to people's resiliency capacity in response to an external stressor. These indicators are combined from several sociodemographic data categories, such as socioeconomic, demographic, neighborhood characteristics, and health [55].…”
Section: Introductionmentioning
confidence: 99%
“…Da mesma forma, na Região Metropolitana de Curitiba, Sul do país, a ocupação das áreas com risco ambiental à inundação se mostrou agravada à medida que se distanciava da região central (MENDONÇA; DESCHAMPS; LIMA, 2013). Na megacidade do Rio de Janeiro, as áreas com menor vulnerabilidade à mudança do clima foram observadas nos locais mais caros da cidade, enquanto as áreas de alta ou média-alta vulnerabilidade se localizaram nas regiões central e sul, com muitos aglomerados subnormais em áreas de risco ambiental (FREITAS; D'AVIGNON; CASTRO, 2019).…”
Section: Vulnerabilidade Do Contexto Urbano Brasileiro Frente à Emerg...unclassified
“…Financial capital and resources (Chirambo, 2017;Tinch et al, 2015); insurance access (Stechemesser et al, 2015); income levels and distribution (Carter et al, 2015); access to credit (Assan et al, 2018); economic development/stability (Matarrita-Cascante et al, 2017); Access to public transport (Carter et al, 2015); Population mobility (capacity to travel) (Freitas et al, 2019); Socio-ecological adaptation networks (Barnes et al, 2017;Woodruff, 2018); ITC's use (Bojovic et al, 2015) Memory / Learning…”
Section: Livelihoods and Financial Resourcesmentioning
confidence: 99%
“…Persistence/Flexibility Ecosystem services and biodiversity Conservation of ecosystems and biodiversity and the diversity of green/blue infrastructure offer more flexibility in the face of threats Diversity and resilience of ecosystem services, and persistence of biodiversity (Lukasiewicz et al, 2016); green infrastructure (Carter et al, 2018;Derkzen et al, 2017); blue infrastructure (Pettinotti et al, 2018) Infrastructural diversity and redundancy (Chirambo, 2017;Tinch et al, 2015); insurance access (Stechemesser et al, 2015); income levels and distribution (Carter et al, 2015); access to credit (Assan et al, 2018) (Carter et al, 2015); population mobility (capacity to travel) (Freitas et al, 2019); socio-ecological adaptation networks (Barnes et al, 2017;Woodruff, 2018); ITC's use (Bojovic et al, 2015) Memory/learning Available knowledge The availability and integration of multiple types of knowledge (formal, experiential, and ancestral ones) promote an enhanced preparation in the face of present and future threats Information and knowledge sharing instances (Karki et al, 2011); integration of traditional and scientific knowledge (Haque et al, 2014;Leon et al, 2015); education approaches (Cost, 2015) Risk planning and information management Recording, assessment, and knowledge of past risks, as well as planning of future ones, allows for quicker and more effective responses and adaptations Spatial planning regulations (Carter et al, 2015;Romero-Lankao et al, 2014); disaster preparedness plans (Smit & Wandel, 2006); evidence-based projections/scenarios (Cáceres-Arteaga et al, 2018); early alert/response systems (Cartwright et al, 2013) Reflexive mindset Socio-cultural values, perceptions, and attitudes facing climate change-related risks mediate between the availability of coping/adaptation options and their effective deployment Risk perception (Fuchs et al, 2017;Liu et al, 2013); awareness of climate change and its causes (Akhtar et al, 2019); acceptan...…”
Section: Resilience Dimension Resilience Attributes Justification Examples Of Variables and Indicatorsmentioning
confidence: 99%