Challenges in Measuring Sustainability and the Quality of Life –The Case of a Small Canadian City
Notice bibliographique
Résumé
Many set of indicators are currently available to measure sustainability and the quality of life or well-being of the people. However, choice of the set of indicators can widely affect the ranking of a place in terms of the quality of life of the people. For example, Costa Rica ranks 1stin terms of the 2012 Happy Planet Index, but it ranks 69th in terms of the Human Development Index. The goal of this paper is to design a robust mechanism by combining several methodologies to assess the quality of life in a place. We used a small Canadian city, Kamloops, for our case study. This 311 km 2 city in Interior British Columbia has a population of about 87 000. MoneySense ranked it 44th and 64th best places to live in Canada in 2012 and 2013 respectively. The index that is too sensitive to annual fluctuations of a few indicators could be good for understanding short-run quality of life changes, but might not necessarily reflect the level of well-being and its sustainability in a place. In this paper, we have defined a methodology to select an appropriate set of indicators for Kamloops that would measure the average quality of life and its sustainability. With hundreds of global and regional quality of life and sustainability indicator initiatives, and many available methodologies, it is important for any city to choose the appropriate indicators and evaluation methods. Economists often use estimated monetary values of desired indicators to compute Genuine Progress Indicator, or such other quality of life or composite sustainability indices. Natural scientists, on the other hand, use only a few physical indicators for environmental sustainability assessment. We believe that both monetary and physical indicators are important components of any quality of life index, and therefore, have to be part of a comprehensive sustainability plan. A data aggregation method has been suggested in this paper for computing relatively more composite indices from the large number of quality of life and sustainability indicators. The absence of reliable and adequate data is a serious challenge in measuring the desired indicators. Due to data constraints, a complete assessment of the average quality of life and its sustainability in Kamloops is not possible at this time using our suggested methodology. However, the proposed methodology and the data compiled for this study are steps forward to a complete and systematic accounting of well-being, happiness, income, wealth, and sustainability indices for Kamloops. We have assessed the current Kamloops Sustainability Plan based on our proposed criteria. It is expected that this study will make different stakeholders in the City of Kamloops re-think about their sustainability plans, and will help contribute to make Kamloops a better place to live. The methodology recommended in this paper is general enough to be used for quality of life and sustainability assessment in any place.
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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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».