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Enregistrement W4392875126

Uncovering the land development potential of municipalities in France

2023· preprint· en· W4392875126 sur OpenAlexaboutno aff
Thibault Lecourt

Notice bibliographique

RevueHAL (Le Centre pour la Communication Scientifique Directe) · 2023
Typepreprint
Langueen
DomaineSocial Sciences
ThématiqueFrench Urban and Social Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésComputer scienceEnvironmental planningGeography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In France, municipalities play a crucial role in land use planning. For this purpose, they have three powers at their disposal: a regulatory power that enables them to define the rules of urbanization and building permits; an incentive power through the tax lever, as well as by playing a role as an animator of the local market with calls for projects, co-financing, and communication campaigns; and finally, power through land ownership, which allows control of the location and destination of a development project. The two primary powers in urban development are regulatory and incentive. However, the success of urban development ultimately depends on the willingness of investors to comply with regulations or withdraw from the market. Additionally, land ownership provides greater control over projects and the allocation of land resources. Municipalities and their groups, as the first public owners on the land markets, have significant resources to guide land use planning. However, in the current economic context, public actors are increasingly selling their land assets, thereby depriving themselves of the power of development. This is due to the spread of the neo-liberal management model and resulting austerity policies (Peck, 2012), which are forcing public authorities to reduce their expenditure and generate new revenue. In a context of rising land prices since the 2000s, they are even more tempted to sell their assets. The privatization of public land is a well-documented phenomenon in Canada, the United Kingdom, Italy, and France, mainly concerning state railway and military land (Adisson and Artioli, 2020; Christophers, 2018; Whiteside, 2020). It is important to question the future ability of municipalities to control the development of their territory without land control as landowners. To provide decision-makers with clarity on this matter, this communication proposes an evaluation of the land ownership of the municipal block that could be utilized for development operations. This will be based on an analysis of land-registry tax-based data, known as les Fichiers Fonciers, at the scale of metropolitan France. The initial stage of this work involves outlining the boundaries and contents of municipal land ownership as it is recorded in the land registry. Municipalities may directly own land parcels, or delegate ownership to a municipal service or external body for development operations. In some cases, plots may be held in multi-ownership by different actors, requiring analysis to determine the level of municipal control. We aim to categorize municipal land ownership into distinct market segments based on Joseph Comby's typology (Comby, 2010), which we have adapted to evaluate the development potential of municipalities through land ownership. It is important to note that owning built heritage and land assigned to a specific use does not necessarily confer the same development potential as owning a vacant plot (Casanova Enault et al., 2021). The plots are qualified based on four determining indicators for their potential mobilization: morphology, topography, use assignment, and state of pollution. No changes in content have been made. This qualification work is carried out on a national scale, at the granularity of the plot, and involves specific methods of spatial database management and automated processing powered by PostgreSQL, PostGIS, and Python, using exogenous public data. Municipal land plots are scored based on their potential for development operations, ranging from 1 for plots with low probability of mobilization to 5 for easily mobilized plots without major constraints. After quantifying and mapping the levels of property concentration and dispersion, we provide an explanatory analysis of their unequal distribution among municipalities. By analyzing the residuals of a Chi-square test of independence, we demonstrate that urban municipalities primarily have land already designated for urban services (such as urban parks and sports fields) for their future development, which raises questions about their future. Although rural municipalities have a higher percentage of non-mobilizable land, such as forests and mountains, suburban municipalities possess significant land reserves that are available for urbanization and are likely to be privatized and developed in the future.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,307
Score d'incertitude au seuil0,610

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0030,003
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,032
Tête enseignante GPT0,250
Écart entre enseignants0,218 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2023
Routes d'admission1
Résumé présentoui

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