Simulating a Land Development Planning Process through Agent-Based Modeling
Notice bibliographique
Résumé
Like most urban centers in North America, the City of Calgary has been experiencing steady population and unprecedented land-cover growth over the past six decades due to the strong Alberta economy, natural increase, and net migration (City of Calgary 2009). Between 1951 and 1961 the population exploded by 93% from 129,060 to 249,641 inhabitants and the city's jurisdiction swelled by 276% from 104 to 392 km 2 . In each decade since, the population has increased by approximately 35% to the current population of 1,043,000 inhabitants and the city's municipal lands have expanded by 14% to the current area of 745 km 2 (Applied History Research Group 1997 The City of Calgary's " Population Picture" predicts a population of 1.6 million by 2037 and just fewer than two million inhabitants by the 22 nd century (City of Calgary 2009). If these population predictions are correct and planning and land development decisions continue to be made based on current planning policy and developers' self-interest, the City of Calgary will continue to sprawl and housing costs will continue to climb. This competition and cost increase for land within the City of Calgary force young families unable to afford a house in the city to purchase outside of the city and commute to their place of employment. It also encourages retirees wanting to get away from the city to move out to the country. This creates demands on towns located in the vicinity of Calgary to accommodate this net migration. This is the case for the Town of Strathmore, located at about 40 km east of Calgary on the Trans-Canada Highway. It currently has a population of 11,335 inhabitants and covers approximately 15.5 km 2 . The population is expected to reach 56,731 inhabitants by 2056 and to cover 26.8 km 2 , an increase of 38% in population and 12% in area per decade (Brown and Associates Planning Group 2008). Several environmental, social and economic problems are associated to population growth, including: (a) increased demand on and cost for resources such as land and water; (b) increased intensity of use on and competition for land; (c) change in settlement patterns; (d) increased interaction, and conflict or required cooperation with adjacent municipalities; (e) increased demand on existing infrastructure, such as roads, utility distribution, collection and treatment facilities; (f) increased cost for new infrastructure like roads, utilities, schools, and other community facilities; (g) increased environmental ground, water and air pollution; and (h) increased health and emergency costs. Some of these costs can be avoided; www.intechopen.com Multi-Agent Systems -
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 | 0,000 | 0,000 |
| 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) | 0,001 | 0,001 |
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 ».