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Enregistrement W4324087983 · doi:10.1111/cag.12835

Dream states: Smart cities, technology, and the pursuit of urban utopias. By JohnLorinc, Coach House Books, Toronto, 2022, 288 pp., paperback $22.95 (ISBN 978‐1552454282)

2023· article· en· W4324087983 sur OpenAlexaffvenueabout
Elmond Bandauko

Notice bibliographique

RevueCanadian Geographies / Géographies canadiennes · 2023
Typearticle
Langueen
DomaineEngineering
ThématiqueSmart Cities and Technologies
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésDreamLibrary scienceCitationArt historyMedia studiesSociologyHistoryComputer sciencePsychology

Résumé

récupéré en direct d'OpenAlex

The development of smart cities is becoming a trendy strategy to address the complex challenges confronting cities globally. John Lorinc's book presents thought-provoking arguments on how technology has shaped urban development processes in the past and how it will (re-)shape them in the future. The book is divided into three themed sections covering the technology of cities, the dream of the smart city, and, in the conclusion, a discussion of how technologies were deployed to deal with the pandemic and how these technologies are reshaping the post-pandemic city. The first section discusses different smart technologies that have been deployed in cities to deal with complex urban challenges. What is fascinating about this section is that it positions these discussions in a historical context, demonstrating that the deployment of urban technologies is not new. The second section focuses on the dream of the smart city, unpacking some of the most controversial utopian ideals associated with urban innovations. Lorinc begins this section by focusing more broadly on smart cities and the origin of urban utopianism, and highlights how global tech firms employ catchy marketing and advertising strategies to produce imaginings of cities as optimized machines. Most city governments, especially from the global south, end up embracing these ideas as a fast solution to existing urban problems. However, this kind of urban utopianism is detached from the realities several African and Asian cities are grappling with, such as massive expansion of informal settlements, notorious levels of air pollution, and disjointed transport systems. Under these conditions, to what extent will the deployment of urban technologies address city problems while optimizing social and economic prospects? The book tries to engage with this question, but does not adequately do so. Lorinc also addresses how the smart city movement is currently revolutionizing city planning, including generating real-time data to inform decision making about infrastructure needs. Most of the examples Lorinc uses are from western urban contexts. But how are smart city ideas transforming the planning of cities in the global south (e.g., in Africa, Latin America, and Asia)? There are some emerging practices in the utilization of urban technologies—in cities such as Kigali (Rwanda), Johannesburg (South Africa), Casablanca (Morocco), and other global south cities—that offer lessons about planning smart cities in different geographical contexts. In the second section, Lorinc also critically engages with the implications of big data and privacy. As smart city technologies such as smart sensors, CCTVs, and location-based tracking applications collect large amounts of data, significant questions arise. Who owns this data? What are the implications for privacy of human subjects whose information is collected, sometimes without consent? Indeed, smart city technologies have created new challenges relating to data governance and privacy. The book also explores the nexus between smart city technologies and the promise of green cities. Most cities, particularly those in advanced economies, have experimented with different smart city technologies to promote urban sustainability and green cities. The utopianism of smart city mega projects has been largely promoted using labels such as “eco,” “green,” and “smart.” These mega projects are usually marketed and promoted by global tech firms as an alternative model of urban development that can reverse the negative externalities in rapidly growing cities. However, if not carefully planned and implemented, these utopian smart city mega projects can lead to massive privatization and commodification of urban spaces, thereby aggravating existing inequalities in cities. Additionally, Lorinc addresses how politics influence the adoption of smart technologies in cities. One of the key take-aways is that deployment and appropriation of urban innovations—from the implementation of smart city mega projects to digital governance to pandemic preparedness tools—can effectively work if scrutinized together with the socio-economic and political complexities of city life. The concluding section raises critical issues about the future of a post-pandemic city. However, the deployment of urban technologies during the pandemic was not homogenous across different geographical contexts. In the global south, where millions of urban residents live in slums and overcrowded housing conditions, the application of technologies is limited or, in some cases, non-existent. What will the future of cities in these contexts look like? Overall, Lorinc's book is fascinating, creatively written, and raises important questions for city planners, geographers, activists, policymakers, and students who are interested in urban innovation and the application of technologies in the planning, governance, and management of cities in the 21st century.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,411
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,006
Études des sciences et des technologies0,0010,005
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
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 Opus0,005
Tête enseignante GPT0,166
Écart entre enseignants0,161 · 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.

Devis d'étudeSans objet
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'admission3
Résumé présentoui

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