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Enregistrement W2178354601

Cities, Innovation, and the Future

2015· article· en· W2178354601 sur OpenAlexaboutno aff
Langdong Morris

Notice bibliographique

RevueInternational management review · 2015
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInnovative Approaches in Technology and Social Development
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésThrivingBoomPopulationInvestment (military)Real estateCapital (architecture)BusinessEconomic growthPoliticsMarketingPublic relationsSociologyPolitical scienceEconomicsGeographyEngineeringSocial scienceLawFinance
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Innovation is intimately linked with cities. This occurs for many reasons, many of which are entirely obvious. People congregate in cities, and through experiencing problems and sharing ideas for how to solve them, innovation comes about. There are suppliers and experts and scholars and materials and tinkerers in cities in abundance, so questions can be formulated and answered. There is capital in cities, to provide investment to support good ideas that solve problems which people are willing to pay for. There are people in cities looking for better opportunities, and who hire on when new companies scale up.But the city itself is also a topic for innovation. These are the fields of urban design, city planning, real estate development, construction, and architecture, which come together to shape the human-created environment in which now more than 3.5 billion people live. Demographers estimate that by 2100, the total aggregate urban population will be around 7.5 billion, meaning that over the next 85 years, humanity will construct new urban settings for 4 billion people. This will certainly constitute the most massive building boom in history.But what will these cities look like? How will they feel? What will it be like to live in them? Will they be squalid and polluted? Will they be the playground of cars and the bane of pedestrians? Will they be healthy and thriving, or sick and tired? Here are some interesting facts about today's cities, which tell us a lot about what we may want and not want for tomorrow's.People who have longer commute times today are less happy than people with shorter commute times. It can take up to an hour for people to recover the ability to concentrate following a long commute, and psychologists have a word for this. They call it amnesia, which occurs as people simply shut out stimulus and try to forget about their long drive as soon as it is over. The longer the commute, the more likely people are to report chronic pain, high cholesterol, and people with commutes longer than 90 minutes are the most likely to be anxious, tired, and obese.Public health experts have invented a word to describe low density suburban neighborhoods where one is obliged to drive everywhere due to the dispersion of housing and shopping and the massive highways that separate everything from everything else: obesogenic. That is, suburbia literally makes people fat, because they spend too much time driving, and not enough time walking. Imagine designing a city that is intended to make people overweight! But this is precisely what we have done ...Consequently, merely living in a sprawling, suburb-oriented community has the effect of reducing one's expected life span by four years, largely as a consequence of the diseases associated with obesity and the stress of the commuter lifestyle. In contrast with the negative impacts of disbursed suburbia, some cities have combined dense urban living arrangements in configurations that are quite pleasant, and to which people who have choice are inevitably drawn. Vancouver, Canada, is one of those cities, and the real estate development profession has created a new word to describe it: Vancouverism. Vancouver is relentlessly dense and yet manages to be charming, beautiful, and humane. It helps that the setting is so spectacular, but even without the water and the mountains, the lessons of thoughtful zoning and planning are applicable anywhere. Developers are copying Vancouver wherever they can.When thinking about city street, scholars have identified what is now referred to as the law of social geometry, which tells us about how far from the street a good porch should be. It must be close enough to allow the porch sitter to interact with the passing pedestrian, but far enough that they are not obliged to interact. Stunningly, this can be quantified. The perfect distance for urban street conviviality is 10.6 feet.However, if the cars take over a neighborhood, the results can be disastrous for the human and humane scale. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,785
Score d'incertitude au seuil0,279

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,028
Tête enseignante GPT0,260
Écart entre enseignants0,231 · 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 tête enseignante, 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
GenreAutre

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

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

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