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Enregistrement W2076199410 · doi:10.3828/tpr.2011.35

Viewpoint: Reconstruction after natural disasters: the opportunities and constraints facing our cities

2011· article· en· W2076199410 sur OpenAlexaff
David W. Edgington

Notice bibliographique

RevueTown Planning Review · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDisaster Management and Resilience
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésNatural disasterGovernment (linguistics)Port (circuit theory)Economic growthGeographyEnvironmental planningPolitical scienceEngineeringMeteorology

Résumé

récupéré en direct d'OpenAlex

Each year many parts of the world are inflicted with one type of disaster or another. In the six months or so prior to the writing of this Viewpoint, media reports covered: the impact of a hurricane in Cairns, northern Queensland, Australia; three devastating earthquakes in Christchurch, New Zealand; and a triple disaster in Japan involving an earthquake followed by a tsunami, followed by a nuclear power plant emergency. The past few years have seen further catastrophic earthquakes that devastated the capital of Haiti (Port-au-Prince) and Kobe, Japan, as well as Hurricane Katrina, which ravaged New Orleans and the southern Gulf states of the USA. The contexts of these and other major events vary widely - from the poor countries of the developing world to the world's richest countries - yet the loss of lives, infrastructure and property damage in each case has been massive. Planning for reconstruction What becomes of these communities and regions afterwards? How long does it take to rebuild? Is there anything planning professionals can do to speed the process, to reduce the losses, to help communities become more resilient? Regardless of the severity of disaster, or the level of assistance from the outside world or higher levels of government, the primary responsibility for recovery ultimately falls on local governments. Little information exists, however, to guide local decision-makers and local planners. The American Planning Association (APA) has recently launched a threeyear research project to examine how planning for reconstructing cities after major disasters might provide ready-to-use information for practitioners (APA, 2010). The World Bank has already compiled a training manual of best practices in post-disaster housing and community reconstruction, aimed at international project managers charged with implementing reconstruction aid (Jha and Duyne, 2010). Recovery of cities after major catastrophes cannot be examined in isolation. The so-called 'Disaster Life Cycle' model developed to help understand how to respond to natural and technological hazards comprises four phases: pre-disaster preparedness; emergency responses (including search and rescue); recovery and reconstruction; and finally mitigation against further known hazards (Mileti, 1999). Many cities now prepare plans that focus on emergency response and preparedness issues, traditionally the ambit of civil defense or municipal emergency officers. Planners, however, give little attention to the likelihood of a major disaster, and even less is given by all professionals to longer-term recovery and reconstruction issues (Meyer et al., 2010; Sandink and Fuller, 2009). This is not to suggest that planning for immediate emergency response and short-term repairs to housing and infrastructure following floods, earthquakes and other disasters are unimportant - they are. But in the case of catastrophic disasters the longer-term rebuilding of cities and regions brings an entirely different set of problems. The desired outcome is for communities to emerge from post-disaster recovery and long-term reconstruction safer and less vulnerable to future calamities. A range of mitigation measures can be usefully incorporated during the recovery phase, including improved building codes and construction standards, as well as more effective land-use regulations and community-planning arrangements. Above all else, planners should use the post-disaster period as a window of opportunity to incorporate sustainable development principles and apply holistic management approaches to rebuilding cities. Research into reconstruction planning The term 'recovery' has been used interchangeably with 'reconstruction', 'restoration' and 'rehabilitation', as well as post-disaster 'redevelopment'. Over the years, researchers studying community recovery have recognised that it is difficult to generalise this component of planning for disasters because of the great variation in localities impacted, as well as the disaster events themselves. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,051

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0110,008
Communication savante0,0130,013
Science ouverte0,0030,006
Intégrité de la recherche0,0240,028
Charge utile insuffisante (le modèle a refusé de juger)0,0150,005

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.

Tête enseignante Opus0,101
Tête enseignante GPT0,314
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations22
Publié2011
Routes d'admission1
Résumé présentoui

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