Industrial land use planning in a context of development of high tech industry : a case study of the city of Richmond
Notice bibliographique
Résumé
This thesis examines city conditions that attract high tech companies in Canada and the United States, gives an insight into the high tech industry in Richmond, analyses factors that determine the location of high tech in the City of Richmond, and identifies possible actions that the City of Richmond could take to attract high technology. The problem statement focuses on factors that determine the location of high tech industries in North American cities, generally, and in the City of Richmond, specifically. The thesis' methodology consists of a literature review, survey and interview research, statistical analysis, and policies and zoning regulations review. The economic and planning literature have provided better understanding of the definition of high tech industry, the types of high technology clusters, and the locational factors affecting the spatial distribution of high tech companies. Both the survey and the interview questions have focused on the effective methods of attracting high tech industries, the conditions making high tech industries successful in the surveyed cities, the development characteristics supporting high tech industries, the development tools used by the cities in practice, and the current effective planning approaches to high technology. The statistical analysis and the review of policies and zoning regulations have provided an insight into the number and size of the high tech companies located in the city of Richmond, as well as into Richmond's policies related to high technology. This thesis finds that high tech industries are foot - loose industries that often change locations due to factors, such as better tax climate, availability of an educated workforce, and post - secondary institutions presence. As a result, there is no standard framework to explain the locational pattern of high technology. However, this thesis identifies two sets of locational factors - general and specific - that are decisive for high technology today. There is an obvious requirement for general locational factors, such as a skilled workforce, post-secondary educational institutions proximity, linkages to other industries, good public transit, good quality business parks, higher building densities, and affordable housing. The specific locational factors depend on the type of high tech sector, and they are required by certain high tech sectors, such as biotechnology. The locational factors revealed by this thesis do not represent a framework that is applicable to all communities that aim to attract high tech businesses. However, the findings of this thesis present valid information for any community to consider before pursuing high tech policies and programs. In addition, this thesis leads to recommendations regarding the steps that communities could undertake in order to develop successful high tech policies and programs.
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 | 0,001 |
| 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 ».