{"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\/fr\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/","title":{"rendered":"Montrez-moi le chemin : le Big Data r\u00e9v\u00e8le les \u00e9coles les plus \u00e0 risque au Vietnam"},"content":{"rendered":"

Dans trois villes vietnamiennes regroupant plus de 9 millions d'habitants, comment pouvons-nous commencer \u00e0 identifier les zones scolaires les plus \u00e0 risque et les enfants qui les fr\u00e9quentent quotidiennement pour lutter contre la principale cause de mortalit\u00e9 chez les jeunes \u2013 les accidents de la route. La r\u00e9ponse ? Le Big Data.<\/p>\n

Une m\u00e9thodologie de d\u00e9pistage Big Data d\u00e9velopp\u00e9e dans le cadre du projet AI&Me a permis une analyse sur ordinateur des donn\u00e9es massives pour H\u00f4 Chi Minh-Ville, Pleiku et Y\u00ean B\u00e1i. L'analyse a identifi\u00e9 les 106 \u00e9coles les plus \u00e0 risque pour une enqu\u00eate plus approfondie sur la s\u00e9curit\u00e9 routi\u00e8re et a prioris\u00e9 les investissements parmi un total de 1 063 \u00e9coles analys\u00e9es.<\/p>\n

Fort du constat, le projet attribue une note de s\u00e9curit\u00e9 aux \u00e9coles en utilisant le Notation par \u00e9toiles pour les \u00e9coles<\/a> application, piloter une nouvelle application d'engagement des jeunes YEA avec 1 800 \u00e9l\u00e8ves cartographiant les endroits o\u00f9 ils se sentent en s\u00e9curit\u00e9 et en ins\u00e9curit\u00e9 sur leur trajet vers l'\u00e9cole, et travailler avec les d\u00e9cideurs des gouvernements locaux pour mettre en \u0153uvre des am\u00e9liorations d'infrastructure dans 18 \u00e9coles prioritaires.<\/p>\n

Les sources de big data deviennent plus facilement accessibles et fournissent des informations sur un large \u00e9ventail d'\u00e9l\u00e9ments de l'environnement urbain qui peuvent repr\u00e9senter un risque pour la s\u00e9curit\u00e9 routi\u00e8re. Travailler avec le big data pour identifier les lieux \u00e0 haut risque est un moyen efficace et efficient de g\u00e9n\u00e9raliser les \u00e9valuations \u00e0 l'\u00e9chelle d'une ville, d'une r\u00e9gion ou d'un pays.<\/p>\n

La m\u00e9thodologie a utilis\u00e9 de grandes sources de donn\u00e9es, en particulier les donn\u00e9es t\u00e9l\u00e9matiques et satellitaires, pour collecter des attributs routiers, d'infrastructure et sociod\u00e9mographiques et pour identifier les \u00e9coles \u00e0 risque o\u00f9 la combinaison des \u00e9l\u00e9ments environnementaux pourrait repr\u00e9senter un danger pour les \u00e9l\u00e8ves.<\/p>\n

Les attributs ont \u00e9t\u00e9 class\u00e9s par leur risque en quatre niveaux, une approche qui a permis d'\u00e9conomiser des co\u00fbts et des efforts d'analyse. Le niveau un comprenait des informations librement disponibles et, \u00e0 mesure que les niveaux progressaient et que le champ d'application diminuait, des donn\u00e9es plus complexes, co\u00fbteuses et d\u00e9taill\u00e9es pouvaient \u00eatre collect\u00e9es et analys\u00e9es de mani\u00e8re tr\u00e8s cibl\u00e9e.<\/p>\n

\u201c Cette approche nous a permis de d\u00e9finir la mani\u00e8re dont l'analyse a \u00e9t\u00e9 effectu\u00e9e et de mobiliser les m\u00e9gadonn\u00e9es disponibles pour analyser et comparer 1\u00a0063 \u00e9coles. Elle nous a \u00e9galement donn\u00e9 la possibilit\u00e9 de nous concentrer sur et d'\u00e9valuer une gamme de param\u00e8tres de risque \u00e0 grande \u00e9chelle et au niveau des \u00e9coles individuelles \u00e0 travers le Vietnam \u201d, a d\u00e9clar\u00e9 Peter Jamieson, directeur g\u00e9n\u00e9ral de la soci\u00e9t\u00e9 d'analyse de donn\u00e9es., Et si<\/a>.<\/p>\n

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

\u00c9volution des niveaux et modifications du champ d'application de l'analyse \u2013 Source des images : Anditi et iRAP<\/em><\/p>\n

AI&Me ; Shanna Lucchesi, chef de projet chez International Road Assessment Programme (iRAP<\/a>) a d\u00e9clar\u00e9 que, \u00e0 notre connaissance, il s'agit de la premi\u00e8re fois qu'une m\u00e9thodologie de m\u00e9gadonn\u00e9es a \u00e9t\u00e9 d\u00e9velopp\u00e9e et pilot\u00e9e pour \u00e9valuer les risques d'infrastructure routi\u00e8re autour des \u00e9coles.<\/p>\n

\u201c Les trois villes sont tr\u00e8s diff\u00e9rentes en taille et en complexit\u00e9, prouvant \u00e0 quel point la m\u00e9thodologie est flexible pour s'adapter \u00e0 diff\u00e9rents contextes \u201d, a d\u00e9clar\u00e9 Mme Lucchesi.<\/p>\n

\u201c<\/em>\u201d Nous sommes ravis de lancer le programme AI&Me au Vietnam, o\u00f9 nous pourrons utiliser le big data pour changer notre fa\u00e7on de penser, d'aborder et de r\u00e9soudre la crise routi\u00e8re \u00bb, a d\u00e9clar\u00e9 Trang Truong, chef de projet AI&Me pour Fondation AIP<\/a>.<\/p>\n

\u201c Les autorit\u00e9s locales ont \u00e9galement recueilli des informations sur les d\u00e9c\u00e8s de pi\u00e9tons et le nombre d\u2019\u00e9l\u00e8ves. La m\u00e9thodologie a \u00e9t\u00e9 communiqu\u00e9e \u00e0 nos partenaires des collectivit\u00e9s locales et aux \u00e9coles au Vietnam. L\u2019enqu\u00eate men\u00e9e apr\u00e8s la formation a montr\u00e9 que 86% des participants ont jug\u00e9 la m\u00e9thodologie de d\u00e9pistage par m\u00e9gadonn\u00e9es pr\u00e9sent\u00e9e lors de la formation utile ou tr\u00e8s utile pour permettre aux acteurs gouvernementaux d\u2019identifier plus facilement les communaut\u00e9s et les lieux \u00e0 haut risque.<\/p>\n

\u201c Non seulement cette m\u00e9thodologie a permis de mettre en lumi\u00e8re des perspectives passionnantes pour une mise en \u0153uvre au Vietnam, mais elle est \u00e9galement con\u00e7ue pour \u00eatre \u00e9volutive, transposable, abordable et facile \u00e0 appliquer partout, en association avec l\u2019application iRAP Star Rating for Schools (SR4S), afin d\u2019affiner une liste prioritaire de sites en vue d\u2019\u00e9valuations d\u00e9taill\u00e9es \u201c, a d\u00e9clar\u00e9 Mme Lucchesi.<\/p>\n

\u201c Associ\u00e9e \u00e0 SR4S, la m\u00e9thode aidera les d\u00e9cideurs \u00e0 faire des choix efficaces et fond\u00e9s sur des donn\u00e9es probantes quant aux domaines sur lesquels concentrer les efforts de s\u00e9curit\u00e9 routi\u00e8re, en lien avec les interventions ayant le plus fort impact et les plus rentables pour sauver des vies d\u2019enfants \u201d, a-t-elle d\u00e9clar\u00e9.<\/p>\n

Les accidents de la route touchent de mani\u00e8re disproportionn\u00e9e les jeunes, \u00e9tant la principale cause de d\u00e9c\u00e8s chez les personnes \u00e2g\u00e9es de 5 \u00e0 29 ans dans le monde.<\/p>\n

La combinaison de conditions routi\u00e8res dangereuses pr\u00e8s des \u00e9coles, de la vuln\u00e9rabilit\u00e9 particuli\u00e8re des enfants et de la tol\u00e9rance au risque \u00e9lev\u00e9e des jeunes conducteurs expose les jeunes au risque quotidien de blessures et de d\u00e9c\u00e8s sur la route.<\/p>\n

On estime que 500 enfants mourront chaque jour sur les routes du monde, et que plus de 10 000 subiront des blessures qui changeront leur vie, posant d'\u00e9normes implications \u00e9conomiques et sociales pour les g\u00e9n\u00e9rations futures.<\/p>\n

Malgr\u00e9 ces niveaux inacceptables de traumatisme chez les jeunes, l'ampleur r\u00e9elle du probl\u00e8me reste souvent cach\u00e9e \u00e0 la conscience collective, tout en donnant l'impression d'\u00eatre trop importante pour \u00eatre abord\u00e9e.<\/p>\n

Mme Lucchesi a d\u00e9clar\u00e9 qu'il pouvait \u00eatre difficile pour les gouvernements de savoir par o\u00f9 commencer \u00e0 prioriser la s\u00e9curit\u00e9 et pour qui, et de d\u00e9cider o\u00f9 concentrer les investissements dans les modifications de la route ou le renforcement de la loi.<\/p>\n

\u201cLe projet Ai&Me est passionnant non seulement pour son approche innovante des m\u00e9gadonn\u00e9es, mais aussi pour l'implication globale de toutes les personnes concern\u00e9es et capables d'aider \u2013 des \u00e9tudiants, aux administrateurs d'\u00e9coles, aux repr\u00e9sentants du gouvernement local responsables et habilit\u00e9s \u00e0 prendre des d\u00e9cisions d'investissement, et aux experts mondiaux en s\u00e9curit\u00e9 routi\u00e8re et en donn\u00e9es poss\u00e9dant le savoir-faire le plus r\u00e9cent. Ils se r\u00e9unissent tous pour prot\u00e9ger les plus vuln\u00e9rables sur les routes scolaires et soutenir la prise de d\u00e9cision gouvernementale.<\/p>\n

\u201c Nous sommes enthousiasm\u00e9s par la m\u00e9thodologie Big Data, les perspectives qu'elle a r\u00e9v\u00e9l\u00e9es et les am\u00e9liorations tr\u00e8s cibl\u00e9es de la s\u00e9curit\u00e9 routi\u00e8re qu'elle rendra possibles dans les trois villes. Nous sommes \u00e9galement enthousiasm\u00e9s par son potentiel mondial pour rendre les trajets scolaires plus s\u00fbrs de la mani\u00e8re la plus rentable, bien au-del\u00e0 des fronti\u00e8res du Vietnam \u201d, a d\u00e9clar\u00e9 Mme Lucchesi.<\/p>\n

La m\u00e9thodologie a \u00e9t\u00e9 d\u00e9velopp\u00e9e dans le cadre de IA&Moi : Projet d'autonomisation des jeunes pour des routes plus s\u00fbres<\/a> fond\u00e9 par Fondation Botnar<\/a> et Fondation FIA<\/a>, sous l'\u00e9gide de la Fondation AIP, avec le soutien de iRAP et d'ANDITI.<\/p>\n

Pour plus d'informations sur la M\u00e9thodologie, t\u00e9l\u00e9chargez le Rapport m\u00e9thodologique Big Data AI&Me ici<\/a>.<\/p>\n

Il sera \u00e9galement pr\u00e9sent\u00e9 au Conf\u00e9rence internationale Walk21<\/a> qui se tiendra la semaine prochaine du 19 au 23 septembre \u00e0 Dublin.<\/p>\n

Source de l'image d'en-t\u00eate : Vuong B\u00f9i sur 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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