Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa

Baleseng T. Mokoena; Walter Musakwa; Thembani Moyo

doi:10.1007/978-3-319-57819-4_6

Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa

Baleseng T. Mokoena
, Walter Musakwa
, Thembani Moyo

Geography, Environmental Management and Energy Studies

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Since the dawn of democracy in 1994, the spatial form of South African cities has shown minimal change. Spatial segregation and fragmentation in cities still persist, particularly in Ekurhuleni, despite numerous and well-formulated policy documents such as the National Development Plan (NDP) and ‘Breaking New Ground’ that call for spatial transformation and integration. This is mainly because there are inadequate tools to assist planners in identifying strategically located land and weak implementation mechanisms. Consequently this study outlines a Planning Support System (PSS) called the Well-Located Index (WLLI) which uses a Geographic Information System (GIS) and the Analytical Hierarchy Process (AHP) to assist planners in identifying, quantifying and visualising well-located land in Ekurhuleni. The study also demonstrates that the WLLI PSS is an invaluable tool in advancing evidence-based decision making that will nurture sustainable and smart cities in South Africa. The WLLI will facilitate targeting smart and well-located land as well as provide the Ekurhuleni Metropolitan Municipality with clear guidelines on where to place future development if the legacy of spatial segregation is to be reversed.

Original language	English
Title of host publication	Planning Support Science for Smarter Urban Futures
Editors	Andrew Allan, John Stillwell, Chris Pettit, Stan Geertman
Publisher	Springer Berlin Heidelberg
Pages	95-112
Number of pages	18
ISBN (Print)	9783319578187
DOIs	https://doi.org/10.1007/978-3-319-57819-4_6
Publication status	Published - 2017
Event	15th International Conference on Computers in Urban Planning and Urban Management, 2017 - Adelaide, Australia Duration: 11 Jul 2017 → 14 Jul 2017

Publication series

Name	Lecture Notes in Geoinformation and Cartography
ISSN (Print)	1863-2246
ISSN (Electronic)	1863-2351

Conference

Conference	15th International Conference on Computers in Urban Planning and Urban Management, 2017
Country/Territory	Australia
City	Adelaide
Period	11/07/17 → 14/07/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

GIS-MCDA
Housing
Land
Smart cities
South Africa
Well-located

ASJC Scopus subject areas

Civil and Structural Engineering
Geography, Planning and Development
Earth-Surface Processes
Computers in Earth Sciences

Access to Document

10.1007/978-3-319-57819-4_6

Cite this

Mokoena, B. T., Musakwa, W., & Moyo, T. (2017). Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa. In A. Allan, J. Stillwell, C. Pettit, & S. Geertman (Eds.), Planning Support Science for Smarter Urban Futures (pp. 95-112). (Lecture Notes in Geoinformation and Cartography). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-319-57819-4_6

Mokoena, Baleseng T. ; Musakwa, Walter ; Moyo, Thembani. / Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa. Planning Support Science for Smarter Urban Futures. editor / Andrew Allan ; John Stillwell ; Chris Pettit ; Stan Geertman. Springer Berlin Heidelberg, 2017. pp. 95-112 (Lecture Notes in Geoinformation and Cartography).

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title = "Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa",

abstract = "Since the dawn of democracy in 1994, the spatial form of South African cities has shown minimal change. Spatial segregation and fragmentation in cities still persist, particularly in Ekurhuleni, despite numerous and well-formulated policy documents such as the National Development Plan (NDP) and {\textquoteleft}Breaking New Ground{\textquoteright} that call for spatial transformation and integration. This is mainly because there are inadequate tools to assist planners in identifying strategically located land and weak implementation mechanisms. Consequently this study outlines a Planning Support System (PSS) called the Well-Located Index (WLLI) which uses a Geographic Information System (GIS) and the Analytical Hierarchy Process (AHP) to assist planners in identifying, quantifying and visualising well-located land in Ekurhuleni. The study also demonstrates that the WLLI PSS is an invaluable tool in advancing evidence-based decision making that will nurture sustainable and smart cities in South Africa. The WLLI will facilitate targeting smart and well-located land as well as provide the Ekurhuleni Metropolitan Municipality with clear guidelines on where to place future development if the legacy of spatial segregation is to be reversed.",

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Mokoena, BT, Musakwa, W & Moyo, T 2017, Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa. in A Allan, J Stillwell, C Pettit & S Geertman (eds), Planning Support Science for Smarter Urban Futures. Lecture Notes in Geoinformation and Cartography, Springer Berlin Heidelberg, pp. 95-112, 15th International Conference on Computers in Urban Planning and Urban Management, 2017, Adelaide, Australia, 11/07/17. https://doi.org/10.1007/978-3-319-57819-4_6

Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa. / Mokoena, Baleseng T.; Musakwa, Walter; Moyo, Thembani.
Planning Support Science for Smarter Urban Futures. ed. / Andrew Allan; John Stillwell; Chris Pettit; Stan Geertman. Springer Berlin Heidelberg, 2017. p. 95-112 (Lecture Notes in Geoinformation and Cartography).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa

AU - Mokoena, Baleseng T.

AU - Musakwa, Walter

AU - Moyo, Thembani

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - Since the dawn of democracy in 1994, the spatial form of South African cities has shown minimal change. Spatial segregation and fragmentation in cities still persist, particularly in Ekurhuleni, despite numerous and well-formulated policy documents such as the National Development Plan (NDP) and ‘Breaking New Ground’ that call for spatial transformation and integration. This is mainly because there are inadequate tools to assist planners in identifying strategically located land and weak implementation mechanisms. Consequently this study outlines a Planning Support System (PSS) called the Well-Located Index (WLLI) which uses a Geographic Information System (GIS) and the Analytical Hierarchy Process (AHP) to assist planners in identifying, quantifying and visualising well-located land in Ekurhuleni. The study also demonstrates that the WLLI PSS is an invaluable tool in advancing evidence-based decision making that will nurture sustainable and smart cities in South Africa. The WLLI will facilitate targeting smart and well-located land as well as provide the Ekurhuleni Metropolitan Municipality with clear guidelines on where to place future development if the legacy of spatial segregation is to be reversed.

AB - Since the dawn of democracy in 1994, the spatial form of South African cities has shown minimal change. Spatial segregation and fragmentation in cities still persist, particularly in Ekurhuleni, despite numerous and well-formulated policy documents such as the National Development Plan (NDP) and ‘Breaking New Ground’ that call for spatial transformation and integration. This is mainly because there are inadequate tools to assist planners in identifying strategically located land and weak implementation mechanisms. Consequently this study outlines a Planning Support System (PSS) called the Well-Located Index (WLLI) which uses a Geographic Information System (GIS) and the Analytical Hierarchy Process (AHP) to assist planners in identifying, quantifying and visualising well-located land in Ekurhuleni. The study also demonstrates that the WLLI PSS is an invaluable tool in advancing evidence-based decision making that will nurture sustainable and smart cities in South Africa. The WLLI will facilitate targeting smart and well-located land as well as provide the Ekurhuleni Metropolitan Municipality with clear guidelines on where to place future development if the legacy of spatial segregation is to be reversed.

KW - GIS-MCDA

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BT - Planning Support Science for Smarter Urban Futures

A2 - Allan, Andrew

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A2 - Pettit, Chris

A2 - Geertman, Stan

PB - Springer Berlin Heidelberg

T2 - 15th International Conference on Computers in Urban Planning and Urban Management, 2017

Y2 - 11 July 2017 through 14 July 2017

ER -

Mokoena BT, Musakwa W, Moyo T. Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa. In Allan A, Stillwell J, Pettit C, Geertman S, editors, Planning Support Science for Smarter Urban Futures. Springer Berlin Heidelberg. 2017. p. 95-112. (Lecture Notes in Geoinformation and Cartography). doi: 10.1007/978-3-319-57819-4_6

Developing the well-located land index to establish smart human settlements for the ekurhuleni municipality, South Africa

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this