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Enregistrement W2260784191

Inclusive Urban Planning: State of the Urban Poor Report 2013

2014· preprint· en· W2260784191 sur OpenAlexaboutno aff
Urban Poverty Alleviation

Notice bibliographique

RevueRePEc: Research Papers in Economics · 2014
Typepreprint
Langueen
DomaineSocial Sciences
ThématiqueUrban and Rural Development Challenges
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésUrban planningEconomic growthPopulationGovernment (linguistics)BusinessEnvironmental planningPolitical sciencePublic administrationGeographyEconomicsEngineeringSociologyCivil engineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The State of the Urban Poor Report is a flagship document of the Ministry of Housing and Urban Poverty Alleviation, Government of India. During the past decade, inclusive growth has become an integral objective of policymaking in India. The 2013 Report analyses India's performance in achieving this objective for its urban population. Using a combination of rich empirical data and rigorous analysis, this report covers areas such as spatial development for inclusive settlements; institutional, regulatory, and legislative framework for urban planning; economic contribution of the urban poor; maintenance of tenements for slum rehabilitation; and sustainable transport. Apart from these the volume also includes case studies on financing of incremental housing improvements, tenure regularization in urban slums, inclusive planning in South Africa and Brazil, development of a cultural district in Hong Kong, and public housing in Canada. The report reflects that the present initiatives are not sufficient to achieve equitable opportunities for decent living and livelihoods for the urban poor. Cities and towns in India still suffer from lack of basic infrastructure and excessive focus on mater plans which has also excluded a large section of the population from the benefits of development. The volume highlights such bottlenecks and also elucidates on the policy options and steps required to remove them. Contributors to this volume - JONATHAN BEARD, is a Vice President of ICF GHK, Managing Director of GHK (Hong Kong) Ltd and Global Head of the Ports and Logistics Consultancy Service; GIOVANA BELTRAO, Senior Architect and Urban Planner, Canada; GAUTAM BHAN, Senior Consultant, Curriculum Development and Policy and Advisory Services, Indian Institute for Human Settlements; SHUBHAGATO DASGUPTA, Senior Fellow, Centre for Policy Research; ROSANNA DENALDI, Professor, (UFABC - Federal University of the ABC Region, Brazil); DAVID DOWALL, Professor Emeritus of City and Regional Planning, University of California at Berkeley; NARAYANAN EDADAN is an urban development and disaster risk management expert with nearly 30 years of experience covering teaching, urban planning and policy making, and development consultancy; NATHANIEL von EINSIEDEL, Chairman and CEO, CONCEP Inc., and President, The Urban Partnerships Foundation; PETER ELLIS, Lead Urban Economist, South Asia Urban Development Unit, World Bank, Washington; JOHN GLADKI (FCIP RRP), President, Gladki Planning; Shweta Gupta is Assistant Director, International Centre of Equity and Inclusion for Transformation (International Centre of EQUI-T), All India Institute of Local Self-Government (AIILSG); Mukesh Kanaskar is Director, International Centre of Equity and Inclusion for Transformation (International Centre of EQUI-T), All India Institute of Local Self-Government (AIILSG); JEROEN KLINK, Professor, (UFABC - Federal University of the ABC Region, Brazil); KEVIN LEUNG, Senior Consultant at ICF GHK, is a public policy analyst and a planner; DARSHINI MAHADEVIA, Faculty of Planning and Public Policy, CEPT University, Ahmedabad; OM PRAKASH MATHUR, Distinguished Professor of Urban Economics, National Institute of Urban Affairs, New Delhi; ARUN KUMAR MISRA, Secretary, Ministry of Housing & Urban Poverty Alleviation; EARL KESSLER, Senior Architect - Urban Planner, USA; SUSAN PARNELL, Professor, African Centre for Cities and Department of Environmental and Geographical Sciences, University of Cape Town, South Africa; GEOFFREY PAYNE, is a senior housing and urban development specialist; AROMAR REVI, Director, Indian Institute for Human Settlements (IIHS), Bangalore; NITHYA V. RAMAN, Centre for Development Finance, IFMR Research; A. VENUGOPALA REDDY, Senior Programme Officer, Public Affairs Centre; NEELIMA RISBUD, Dean of Studies and Professor of Housing, School of Planning and Architecture, New Delhi; ANANYA ROY, Professor, City and Regional Planning, and Distinguished Chair in Global Poverty and Practice, and Education Director, Blum Centre for Developing Economies, University of California, Berkeley; KUNAL SEN, Professor of Development and Economic Policy, School of Environment and Development, University of Manchester; KALA SEETHARAM SRIDHAR, Head, Public Policy Research Group, Public Affairs Centre, Bangalore; KEIICHI TAMAKI, Senior Urban Development Specialist, Asian Development Bank; GEETAM TIWARI, Chair Professor, Civil Engineering Department and Transportation Research and Injury Prevention Programme (TRIPP), Indian Institute of Technology (IIT), Delhi.

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)0,005
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,808
Score d'incertitude au seuil0,940

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0020,002
Intégrité de la recherche0,0000,002
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 Opus0,041
Tête enseignante GPT0,343
Écart entre enseignants0,302 · 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'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

Citations5
Publié2014
Routes d'admission1
Résumé présentoui

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