{"id":3419,"date":"2022-09-12T23:13:58","date_gmt":"2022-09-12T13:13:58","guid":{"rendered":"https:\/\/wordpress.temp.irap-dev.org\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/"},"modified":"2026-04-30T12:39:59","modified_gmt":"2026-04-30T02:39:59","slug":"show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam","status":"publish","type":"post","link":"https:\/\/irap.org\/pt\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/","title":{"rendered":"Mostre o caminho: Big Data revela as escolas de maior risco no Vietn\u00e3"},"content":{"rendered":"

Em tr\u00eas cidades vietnamitas que abrigam mais de 9 milh\u00f5es de pessoas, como podemos come\u00e7ar a identificar as zonas escolares de maior risco e as crian\u00e7as que as utilizam diariamente para combater a principal causa de morte entre jovens \u2013 acidentes de tr\u00e2nsito. A resposta? Big Data.<\/p>\n

Uma Metodologia de Triagem de Big Data desenvolvida como parte do Projeto AI&Me permitiu a an\u00e1lise de big data em desktop para Ho Chi Minh City, Pleiku e Yen Bai. A an\u00e1lise identificou as 106 escolas de maior risco para investiga\u00e7\u00f5es adicionais de seguran\u00e7a rodovi\u00e1ria e priorizou investimentos de um total de 1.063 escolas analisadas.<\/p>\n

Informado pelos resultados, o projeto classificar\u00e1 por estrelas a seguran\u00e7a das escolas usando Avalia\u00e7\u00e3o por Estrelas para Escolas<\/a> aplicativo, piloto de um novo aplicativo de engajamento juvenil YEA com 1.800 alunos mapeando onde eles se sentem seguros e inseguros em seu trajeto para a escola, e trabalhar com tomadores de decis\u00e3o do governo local para implementar melhorias de infraestrutura em 18 escolas priorit\u00e1rias.<\/p>\n

As fontes de big data est\u00e3o se tornando mais acess\u00edveis e fornecem insights sobre uma ampla gama de elementos do ambiente urbano que podem representar um risco para a seguran\u00e7a vi\u00e1ria. Trabalhar com big data para identificar locais de alto risco \u00e9 uma maneira eficiente e eficaz de escalar avalia\u00e7\u00f5es em n\u00edvel de cidade, regi\u00e3o ou pa\u00eds.<\/p>\n

A metodologia utilizou grandes fontes de dados, particularmente dados telem\u00e1ticos e de sat\u00e9lite, para coletar atributos rodovi\u00e1rios, de infraestrutura e sociodemogr\u00e1ficos e sinalizar escolas de risco onde a combina\u00e7\u00e3o dos elementos ambientais pode representar um risco para os alunos.<\/p>\n

Os atributos foram classificados por seu risco em quatro n\u00edveis, uma abordagem que ajudou a economizar custos e esfor\u00e7o de an\u00e1lise. O n\u00edvel um inclu\u00eda informa\u00e7\u00f5es livremente dispon\u00edveis e, \u00e0 medida que os n\u00edveis progrediam e a \u00e1rea de escopo diminu\u00eda, dados mais complexos, caros e detalhados podiam ser coletados e analisados de forma muito focada.<\/p>\n

\u201cEssa abordagem nos permitiu definir como a an\u00e1lise foi realizada e utilizar grandes volumes de dados dispon\u00edveis para analisar e comparar 1.063 escolas. Tamb\u00e9m nos deu a capacidade de focar e avaliar uma s\u00e9rie de par\u00e2metros de risco em escala e no n\u00edvel de escolas individuais em todo o Vietn\u00e3\u201d, disse Peter Jamieson, Diretor Executivo da empresa de an\u00e1lise de dados, E a\u00ed<\/a>.<\/p>\n

\"Ai&Me\"Levels<\/p>\n

Progress\u00e3o dos n\u00edveis e mudan\u00e7as no escopo da an\u00e1lise \u2013 Fonte das imagens: Anditi e iRAP<\/em><\/p>\n

Gerente de Projetos do AI&Me, Shanna Lucchesi, do Programa Internacional de Avalia\u00e7\u00e3o de Estradas (iRAPiRAP<\/a>) disse que, ao melhor de nosso conhecimento, esta \u00e9 a primeira vez que uma metodologia de big data foi desenvolvida e testada para avaliar o risco da infraestrutura rodovi\u00e1ria no entorno de escolas.<\/p>\n

\u201cAs tr\u00eas cidades s\u00e3o muito diferentes em tamanho e complexidade, provando o qu\u00e3o flex\u00edvel a Metodologia \u00e9 para se adaptar a diferentes contextos\u201d, disse a Sra. Lucchesi.<\/p>\n

\u201c<\/em>\u201dEstamos entusiasmados por estar a pilotar o programa AI&Me no Vietname, onde poderemos usar big data para mudar a forma como pensamos, abordamos e resolvemos a crise rodovi\u00e1ria\", disse Trang Truong, Gerente de Projeto do AI&Me para Fundo AIP<\/a>.<\/p>\n

\u201cOs \u00f3rg\u00e3os do governo local tamb\u00e9m coletaram informa\u00e7\u00f5es sobre mortes de pedestres e o n\u00famero de estudantes. A metodologia foi compartilhada com nossos parceiros do governo local e com as escolas no Vietn\u00e3. A pesquisa realizada ap\u00f3s o treinamento mostrou que 86% dos participantes consideraram a metodologia de triagem de Big Data apresentada no treinamento \u00fatil ou muito \u00fatil para que as partes interessadas do governo identifiquem comunidades e locais de alto risco com mais facilidade.<\/p>\n

\u201cA metodologia n\u00e3o s\u00f3 revelou insights interessantes para aplica\u00e7\u00e3o no Vietn\u00e3, como tamb\u00e9m foi projetada para ser escal\u00e1vel, transfer\u00edvel, acess\u00edvel e f\u00e1cil de aplicar em qualquer lugar, em conjunto com o aplicativo iRAP Star Rating for Schools (SR4S), a fim de refinar uma lista de locais priorit\u00e1rios para avalia\u00e7\u00f5es detalhadas\u201c, afirmou a Sra. Lucchesi.<\/p>\n

\u201cJuntamente com o SR4S, o m\u00e9todo ajudar\u00e1 os tomadores de decis\u00e3o a fazer escolhas eficazes e baseadas em evid\u00eancias sobre onde focar os esfor\u00e7os de seguran\u00e7a rodovi\u00e1ria, vinculadas \u00e0s interven\u00e7\u00f5es de maior impacto e mais custo-efetivas para salvar a vida de crian\u00e7as\u201d, disse ela.<\/p>\n

Os acidentes rodovi\u00e1rios afetam desproporcionalmente os jovens, sendo a principal causa de morte de pessoas entre 5 e 29 anos em todo o mundo.<\/p>\n

A combina\u00e7\u00e3o de condi\u00e7\u00f5es perigosas nas estradas perto de escolas, a vulnerabilidade especial das crian\u00e7as e a toler\u00e2ncia elevada ao risco dos jovens motoristas exp\u00f5em os jovens ao risco di\u00e1rio de les\u00f5es e morte no tr\u00e2nsito.<\/p>\n

Estima-se que 500 crian\u00e7as morrer\u00e3o nas estradas globais todos os dias e mais de 10.000 sofrer\u00e3o ferimentos que mudar\u00e3o suas vidas, o que acarreta enormes implica\u00e7\u00f5es econ\u00f4micas e sociais para as gera\u00e7\u00f5es futuras.<\/p>\n

Apesar desses n\u00edveis inaceit\u00e1veis de trauma em jovens, a verdadeira dimens\u00e3o do problema muitas vezes fica oculta da consci\u00eancia da comunidade, ao mesmo tempo em que parece grande demais para ser enfrentada.<\/p>\n

A Sra. Lucchesi disse que pode ser avassalador para os governos saber por onde come\u00e7ar a priorizar a seguran\u00e7a e para quem, e decidir onde concentrar investimentos em modifica\u00e7\u00f5es de estradas ou fiscaliza\u00e7\u00e3o.<\/p>\n

\u201cO Projeto Ai&Me \u00e9 empolgante n\u00e3o apenas por sua abordagem inovadora de big data, mas tamb\u00e9m pelo envolvimento abrangente de todas as pessoas impactadas e capazes de ajudar \u2013 desde os alunos at\u00e9 os administradores escolares, representantes do governo local respons\u00e1veis e capacitados para tomar decis\u00f5es de investimento e especialistas globais em seguran\u00e7a vi\u00e1ria e dados com o conhecimento mais atualizado. Todos eles est\u00e3o se unindo para proteger os mais vulner\u00e1veis nos arredores das escolas e apoiar a tomada de decis\u00f5es do governo.<\/p>\n

\u201cEstamos empolgados com a Metodologia de Big Data, com as percep\u00e7\u00f5es que ela revelou e com as melhorias muito direcionadas \u00e0 seguran\u00e7a vi\u00e1ria que ela tornar\u00e1 poss\u00edveis nas tr\u00eas cidades. Tamb\u00e9m estamos empolgados com seu potencial global para tornar as viagens para a escola mais seguras da maneira mais eficaz em termos de custo, muito al\u00e9m das fronteiras do Vietn\u00e3\u201d, disse a Sra. Lucchesi.<\/p>\n

A Metodologia foi desenvolvida como parte do IA&Eu: Capacitando Jovens para Estradas Mais Seguras<\/a> fundado por Funda\u00e7\u00e3o Botnar<\/a> e Funda\u00e7\u00e3o FIA<\/a>, liderado pela Funda\u00e7\u00e3o AIP e apoiado pela iRAP e pela ANDITI.<\/p>\n

Para mais informa\u00e7\u00f5es sobre a Metodologia, baixe o Relat\u00f3rio de Metodologia de Big Data da AI&Me aqui<\/a>.<\/p>\n

Ele tamb\u00e9m ser\u00e1 apresentado no Confer\u00eancia Internacional Walk21<\/a> a ser realizado na pr\u00f3xima semana, de 19 a 23 de setembro, em Dublin.<\/p>\n

Imagem de cabe\u00e7alho: Vuong B\u00f9i no Pixabay<\/em><\/p>\n

 <\/p>","protected":false},"excerpt":{"rendered":"

In three Vietnamese cities homing over 9 million people, how can we begin to identify the highest risk school zones and the children who use them daily to tackle the leading killer of youth \u2013 road traffic crashes. The answer? Big Data. 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