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Learning from the Slums for the Development of Emerging Cities

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Cover of 'Learning from the Slums for the Development of Emerging Cities'

Table of Contents

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    Book Overview
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    Chapter 1 Slums and Precarity in Developing Countries
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    Chapter 2 Slums: Note for an Urban Theory
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    Chapter 3 Tentative Classification of Various Slum Types
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    Chapter 4 Reading Case Studies
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    Chapter 5 Ciudad Bolivar, Bogota: Scorned Territories
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    Chapter 6 Villa El Salvador: From a Self-Management Project to Territorial Marketing
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    Chapter 7 Rocinha, Favela Beyond a Shelter Issue
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    Chapter 8 Poor Neighbourhood and Natural Disaster
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    Chapter 9 (Re)Urbanization of Villa 31 Carlos Mugica
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    Chapter 10 Social Housing in Nova Luz Project
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    Chapter 11 Slum Improvement Lessons in Africa: Kibera
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    Chapter 12 Urbanisation Prospects for a Traditional Lakeside Habitat
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    Chapter 13 The Experience of Private Investments and Funding: The Relocation of the Karyan Thomas and Douar Skouila Households
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    Chapter 14 Village Model of Urban Housing
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    Chapter 15 Dharavi: Where the Urban Design Episteme Is Falling Apart
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    Chapter 16 A Competition for Land
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    Chapter 17 Informal Settlements and Public Policies in Bulgaria During the Post-Socialist Period
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    Chapter 18 Participative Urban Planning and Civil Society
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    Chapter 19 Precarious Housing in Detroit
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    Chapter 20 Lessons Learned from Case Studies
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    Chapter 21 From the Field to the Theory
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    Chapter 22 Learning from the Slums, Learning for the Slums…
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2 Wikipedia pages

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Title
Learning from the Slums for the Development of Emerging Cities
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-31794-6
ISBNs
978-3-31-931792-2, 978-3-31-931794-6
Editors

Jean-Claude Bolay, Jérôme Chenal, Yves Pedrazzini

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Master 5 11%
Student > Doctoral Student 5 11%
Student > Bachelor 4 9%
Researcher 4 9%
Other 7 16%
Unknown 9 20%
Readers by discipline Count As %
Social Sciences 18 41%
Design 5 11%
Arts and Humanities 4 9%
Computer Science 2 5%
Economics, Econometrics and Finance 2 5%
Other 2 5%
Unknown 11 25%