[ PERCEPTION ET GESTION DES URGENCES ENVIRONNEMENTALES ET DE LA SANTÉ SÉCURITÉ AU TRAVAIL (ESST) DANS LA ZONE INDUSTRIELLE DE GLO-DJIGBÉ ]
Samuel Massede1, C. Parfait Blalogoe2, and Gabin Tchaou3
1 Institut du Cadre de Vie (ICaV), Université d’Abomey-Calavi (UAC), Benin
2 Institut du Cadre de Vie (ICaV), Université d’Abomey-Calavi (UAC), Benin
3 Institut du Cadre de Vie (ICaV), Université d’Abomey-Calavi (UAC), Benin
Original language: French
Copyright © 2025 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study aims to analyze the perception and management of Environmental Emergencies and Occupational Health and Safety (EOHS) in the Glo-Djigbé Industrial Zone (GDIZ). Questionnaires, the interview guide and the observation grid were used to conduct investigations. The GIS analysis software ArcGIS 9.3 and the Excel 2019 spreadsheet were used to develop the maps and perform statistical processing of the data. A sample of 385 employees was interviewed during the investigations in the industrial units. The results show that 71.21% of the interviewees recognize strong winds, accidental spills of chemicals, fires and explosions, floods, tornadoes and earthquakes as environmental emergencies. For 68,08% of the interviewees, commuting and work accidents, excessive noise, falls, fires and explosions, inhalation of chemicals, various illnesses and others constitute emergencies. Occupational Health and Safety (OHS). Natural disasters, dangerous chemical reactions, human and facility failures are the main causes according to 69,40 % of respondents. Emergency equipment and tools, training and awareness-raising, the presence of an emergency response team and benchmarks, monitoring of performance indicators and simulation exercises are measures taken according to 75,24 % of respondents. The use of artificial intelligence (AI) in the systematic detection and reporting of risky situations is possible for improving responses to OHS emergencies.
Author Keywords: GDIZ, management, environment, occupational health and safety.
Samuel Massede1, C. Parfait Blalogoe2, and Gabin Tchaou3
1 Institut du Cadre de Vie (ICaV), Université d’Abomey-Calavi (UAC), Benin
2 Institut du Cadre de Vie (ICaV), Université d’Abomey-Calavi (UAC), Benin
3 Institut du Cadre de Vie (ICaV), Université d’Abomey-Calavi (UAC), Benin
Original language: French
Copyright © 2025 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This study aims to analyze the perception and management of Environmental Emergencies and Occupational Health and Safety (EOHS) in the Glo-Djigbé Industrial Zone (GDIZ). Questionnaires, the interview guide and the observation grid were used to conduct investigations. The GIS analysis software ArcGIS 9.3 and the Excel 2019 spreadsheet were used to develop the maps and perform statistical processing of the data. A sample of 385 employees was interviewed during the investigations in the industrial units. The results show that 71.21% of the interviewees recognize strong winds, accidental spills of chemicals, fires and explosions, floods, tornadoes and earthquakes as environmental emergencies. For 68,08% of the interviewees, commuting and work accidents, excessive noise, falls, fires and explosions, inhalation of chemicals, various illnesses and others constitute emergencies. Occupational Health and Safety (OHS). Natural disasters, dangerous chemical reactions, human and facility failures are the main causes according to 69,40 % of respondents. Emergency equipment and tools, training and awareness-raising, the presence of an emergency response team and benchmarks, monitoring of performance indicators and simulation exercises are measures taken according to 75,24 % of respondents. The use of artificial intelligence (AI) in the systematic detection and reporting of risky situations is possible for improving responses to OHS emergencies.
Author Keywords: GDIZ, management, environment, occupational health and safety.
Abstract: (french)
Cette étude a pour objectif d’analyser la perception et la gestion des urgences Environnementales et de la Santé Sécurité au Travail (ESST) dans la Glo-Djigbé Industrial Zone (GDIZ). Les questionnaires, le guide d’entretien et la grille d’observation ont permis de mener des investigations. Le logiciel d’analyse SIG ArcGIS 9.3 et le tableur Excel 2019 ont permis d’élaborer les cartes et d’effectuer le traitement statistique des données. Un échantillon de 385 employés a été interviewé lors des investigations dans les unités industrielles. Les résultats montrent que 71,21 % des interviewés reconnaissent les vents forts, les déversements accidentels des produits chimiques, les incendies et explosions, les inondations, les tornades et les séismes comme des urgences environnementales. Pour 68,08 % des interviewés, l’accident de trajet et de travail, le bruit excessif, les chutes, les incendies et explosions, l’inhalation des produits chimiques, les maladies diverses et autres constituent des urgences Santé Sécurité au Travail (SST). Les catastrophes naturelles, les réactions dangereuses des produits chimiques, les défaillances humaines et des installations sont les principales causes selon 69,40% des enquêtés. Les équipements et outils d’urgence, les formations et sensibilisations, la présence d’une équipe de réponse aux urgences et des référentiels, le suivi des indicateurs de performance et les exercices de simulation sont des mesures prises selon 75,24 % des enquêtés. Le recours à l’intelligence artificielle (IA) dans la détection et le signalement systématique des situations à risques est envisageable pour l’amélioration des réponses aux urgences ESST.
Author Keywords: GDIZ, gestion, environnement, santé sécurité au travail.
