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Record W2260784191

Inclusive Urban Planning: State of the Urban Poor Report 2013

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

Bibliographic record

VenueRePEc: Research Papers in Economics · 2014
Typepreprint
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsUrban planningEconomic growthPopulationGovernment (linguistics)BusinessEnvironmental planningPolitical sciencePublic administrationGeographyEconomicsEngineeringSociologyCivil engineering
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.343
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2014
Admission routes1
Has abstractyes

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