Local government emergency management : emergency operations centres, training and decision making : a thesis presented in partial fulfilment of a Masters in Emergency Management at Massey University, Wellington, New Zealand
Notice bibliographique
Résumé
Local government organisations play a critical role in achieving community resilience to disasters. As part of their response capabilities most local governments operate an Emergency Operations Centre (EOC). EOCs function as the command and communication headquarters for planning and decision-making during a disaster or an emergency. This thesis has two research objectives. The first is to conduct preliminary exploratory research about how local government EOCs are used during preparedness activities. The second is to contribute information and recommendations that could better equip emergency managers to prepare for and respond to emergencies and disasters. \nThe broad concepts and common terminology of contemporary emergency management are introduced. Information about the jurisdictional terminology, frameworks, and the major emergency management organisations for New Zealand, Canada, and USA are discussed. Research was carried out using recent literature and the results of a questionnaire that 48 local government departments with EOCs participated in. This investigation was guided by seven research questions from three inter-related areas of investigation. They are EOC operation and activation, emergency management training, and emergency management decision making. \nLiterature shows there is a growing realisation that many disaster preparedness practices are based largely upon anecdote and are lacking systematic study or objective validation. Results and conclusions presented in this thesis reveal local government organisations need and desire more information and support in operating their EOC, and in emergency management training and decision making. What each individual organisation does by way of training and related assessment is unique to each organisation. Local government organisations are operating in blind faith that their preparedness activities are actually enhancing their response and recovery capabilities. \nRecommendations for future research and of where emergency managers should direct their attention during preparedness concludes this study. The research community needs to focus attention on local government emergency management and the greater emergency management community needs to support and guide local government emergency management offices.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».