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Need for an integrated deprived area “slum” mapping system (IDEAMAPS) in low- and middle-income countries (LMICs)
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(2020) Need for an integrated deprived area “slum” mapping system (IDEAMAPS) in low- and middle-income countries (LMICs). Social Sciences, 9 (5). 80. doi:10.3390/socsci9050080 ISSN 2076-0760.
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WRAP-Need-integrated-deprived-area-slum-middle-income-Albuquerque-2020.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2870Kb) | Preview |
Official URL: http://dx.doi.org/10.3390/socsci9050080
Abstract
Ninety percent of the people added to the planet over the next 30 years will live in African and Asian cities, and a large portion of these populations will reside in deprived neighborhoods defined by slum conditions, informal settlement, or inadequate housing. The four current approaches to neighborhood deprivation mapping are largely siloed, and each fall short of producing accurate, timely, and comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data, reflects household-level rather than neighborhood-level deprivation. The second approach, field-based mapping, can produce the most accurate and context-relevant maps for a given neighborhood, however it requires substantial resources, preventing up-scaling. The third and fourth approaches, human (visual) interpretation and machine classification of air or spaceborne imagery, both overemphasize informal settlements, and fail to represent key social characteristics of deprived areas such as lack of tenure, exposure to pollution, and lack of public services. We summarize common areas of understanding, and present a set of requirements and a framework to produce routine, accurate maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making across Low- and Middle-Income Countries (LMICs). We suggest that machine learning models be extended to incorporate social area-level covariates and regular contributions of up-to-date and context-relevant field-based classification of deprived urban areas. View Full-Text
Item Type: | Journal Article | ||||||||||||
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Subjects: | H Social Sciences > HB Economic Theory H Social Sciences > HT Communities. Classes. Races H Social Sciences > HV Social pathology. Social and public welfare |
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Divisions: | Faculty of Arts > School for Cross-faculty Studies Faculty of Arts > School for Cross-faculty Studies > Institute for Global Sustainable Development |
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Library of Congress Subject Headings (LCSH): | Slums, Slums -- Developing countries, Urban poor -- Housing -- Developing countries, Cities and towns -- Developing countries -- Growth, Cities and towns -- Developing countries -- Aerial views, Slums -- Developing countries -- Simulation methods, Squatter settlements -- Developing countries -- Simulation methods | ||||||||||||
Journal or Publication Title: | Social Sciences | ||||||||||||
Publisher: | M D P I AG | ||||||||||||
ISSN: | 2076-0760 | ||||||||||||
Official Date: | 2020 | ||||||||||||
Dates: |
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Volume: | 9 | ||||||||||||
Number: | 5 | ||||||||||||
Article Number: | 80 | ||||||||||||
DOI: | 10.3390/socsci9050080 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
Date of first compliant deposit: | 8 June 2020 | ||||||||||||
Date of first compliant Open Access: | 9 June 2020 | ||||||||||||
RIOXX Funder/Project Grant: |
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