The University of Southampton
University of Southampton Institutional Repository

Critical Commentary: Need for an Integrated Deprived Area “Slum” Mapping System (IDeAMapS) in LMICs

Critical Commentary: Need for an Integrated Deprived Area “Slum” Mapping System (IDeAMapS) in LMICs
Critical Commentary: Need for an Integrated Deprived Area “Slum” Mapping System (IDeAMapS) in LMICs
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 silo-ed, and each fall short of producing accurate, timely, comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data and aggregating to administrative areas, 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 interpretation and machine classification of satellite, aerial, or drone 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 basic public services. The latter, machine classification of imagery, can be automated and extended to incorporate new and multiple sources of data. This diverse collection of authors represent experts from these four approaches to neighborhood deprivation mapping. We summarize common areas of understanding, and present a set of requirements to produce maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making.
Thomson, Dana R.
1ad13f81-f22e-4d89-a288-b05fb08b6c39
Kuffer, Monika
c8e67544-026c-411f-a08b-aaa926f30760
Boo, Gianluca
d49f7aaa-6d95-4e36-b9be-e469911c4a3d
Hati, Beatrice
7aaf1c39-c300-4010-a4f6-3cde77d2b7c1
Grippa, Taïs
5cd12e5d-ecb5-429b-b527-99b1c1c2671b
Elsey, Helen
6d62e2f3-bfa0-44c1-b22c-ec1f93029829
Linard, Catherine
231a1de7-72c2-4dc1-bc4e-ea30ed444856
Mahabir, Ron
8adb388b-6da5-4577-863a-d2a86c0f5080
Catherine, Kyobutungi
60e7ec0a-b4ea-4bcd-acb9-b051dd609244
Maviti, Joshua
05844322-4e89-4d40-8bcd-d3bee022e82f
Mwaniki, Dennis
0e126aec-1ce5-44f2-9a53-e3b4728eaa70
Ndugwa, Robert
5a700daa-39bc-43fb-af1b-dc269e977011
Makau, Jack
48fd82cb-86b5-4623-aed1-a3dceb679e54
Sliuzas, Rechard
6728d02e-5526-44cf-ae6f-09b9ff89d3d8
Cheruiyot, Salome
dc567d2b-cfd1-4037-8f31-a077bc78cc76
Nyambuga, Kilion
d48f4d86-94d7-43ac-ada8-55a0d3327724
Mboga, Nicholus
b20dc04d-5fcc-4252-9e69-91fbd9173ad8
Wanjiru, Nicera
f23b9bb5-4001-47f6-9b71-b525d8ca16ab
Porto De Albuquerque, Joao
19854559-0cd0-4bc8-a2f0-fc00d650b8bb
Kabaria, Caroline W.
e7e88d56-b332-4932-8531-04c16e9492c7
Thomson, Dana R.
1ad13f81-f22e-4d89-a288-b05fb08b6c39
Kuffer, Monika
c8e67544-026c-411f-a08b-aaa926f30760
Boo, Gianluca
d49f7aaa-6d95-4e36-b9be-e469911c4a3d
Hati, Beatrice
7aaf1c39-c300-4010-a4f6-3cde77d2b7c1
Grippa, Taïs
5cd12e5d-ecb5-429b-b527-99b1c1c2671b
Elsey, Helen
6d62e2f3-bfa0-44c1-b22c-ec1f93029829
Linard, Catherine
231a1de7-72c2-4dc1-bc4e-ea30ed444856
Mahabir, Ron
8adb388b-6da5-4577-863a-d2a86c0f5080
Catherine, Kyobutungi
60e7ec0a-b4ea-4bcd-acb9-b051dd609244
Maviti, Joshua
05844322-4e89-4d40-8bcd-d3bee022e82f
Mwaniki, Dennis
0e126aec-1ce5-44f2-9a53-e3b4728eaa70
Ndugwa, Robert
5a700daa-39bc-43fb-af1b-dc269e977011
Makau, Jack
48fd82cb-86b5-4623-aed1-a3dceb679e54
Sliuzas, Rechard
6728d02e-5526-44cf-ae6f-09b9ff89d3d8
Cheruiyot, Salome
dc567d2b-cfd1-4037-8f31-a077bc78cc76
Nyambuga, Kilion
d48f4d86-94d7-43ac-ada8-55a0d3327724
Mboga, Nicholus
b20dc04d-5fcc-4252-9e69-91fbd9173ad8
Wanjiru, Nicera
f23b9bb5-4001-47f6-9b71-b525d8ca16ab
Porto De Albuquerque, Joao
19854559-0cd0-4bc8-a2f0-fc00d650b8bb
Kabaria, Caroline W.
e7e88d56-b332-4932-8531-04c16e9492c7

Thomson, Dana R., Kuffer, Monika, Boo, Gianluca, Hati, Beatrice, Grippa, Taïs, Elsey, Helen, Linard, Catherine, Mahabir, Ron, Catherine, Kyobutungi, Maviti, Joshua, Mwaniki, Dennis, Ndugwa, Robert, Makau, Jack, Sliuzas, Rechard, Cheruiyot, Salome, Nyambuga, Kilion, Mboga, Nicholus, Wanjiru, Nicera, Porto De Albuquerque, Joao and Kabaria, Caroline W. (2019) Critical Commentary: Need for an Integrated Deprived Area “Slum” Mapping System (IDeAMapS) in LMICs. PeerJ PrePrints. (doi:10.20944/preprints201910.0242.v2).

Record type: Article

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 silo-ed, and each fall short of producing accurate, timely, comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data and aggregating to administrative areas, 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 interpretation and machine classification of satellite, aerial, or drone 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 basic public services. The latter, machine classification of imagery, can be automated and extended to incorporate new and multiple sources of data. This diverse collection of authors represent experts from these four approaches to neighborhood deprivation mapping. We summarize common areas of understanding, and present a set of requirements to produce maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making.

This record has no associated files available for download.

More information

Accepted/In Press date: 21 October 2019
Published date: 24 October 2019

Identifiers

Local EPrints ID: 435373
URI: http://eprints.soton.ac.uk/id/eprint/435373
PURE UUID: 91540d21-3030-4c1b-a8e4-901103ceede3
ORCID for Gianluca Boo: ORCID iD orcid.org/0000-0002-4078-8221

Catalogue record

Date deposited: 01 Nov 2019 17:30
Last modified: 01 Aug 2024 01:56

Export record

Altmetrics

Contributors

Author: Dana R. Thomson
Author: Monika Kuffer
Author: Gianluca Boo ORCID iD
Author: Beatrice Hati
Author: Taïs Grippa
Author: Helen Elsey
Author: Catherine Linard
Author: Ron Mahabir
Author: Kyobutungi Catherine
Author: Joshua Maviti
Author: Dennis Mwaniki
Author: Robert Ndugwa
Author: Jack Makau
Author: Rechard Sliuzas
Author: Salome Cheruiyot
Author: Kilion Nyambuga
Author: Nicholus Mboga
Author: Nicera Wanjiru
Author: Joao Porto De Albuquerque
Author: Caroline W. Kabaria

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×