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Urban Land Dynamics in the Abuja City-Region, Nigeria: Integrating GIS, Remotely Sensed, and Survey-Based Data to Support Land Use.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Urban Land Dynamics in the Abuja City-Region, Nigeria: Integrating GIS, Remotely Sensed, and Survey-Based Data to Support Land Use./
作者:
Enoguanbhor, Evidence Chinedu.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
132 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-09, Section: B.
Contained By:
Dissertations Abstracts International83-09B.
標題:
Land area. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29003086
ISBN:
9798209784302
Urban Land Dynamics in the Abuja City-Region, Nigeria: Integrating GIS, Remotely Sensed, and Survey-Based Data to Support Land Use.
Enoguanbhor, Evidence Chinedu.
Urban Land Dynamics in the Abuja City-Region, Nigeria: Integrating GIS, Remotely Sensed, and Survey-Based Data to Support Land Use.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 132 p.
Source: Dissertations Abstracts International, Volume: 83-09, Section: B.
Thesis (Ph.D.)--Humboldt Universitaet zu Berlin (Germany), 2021.
This item must not be sold to any third party vendors.
Global urban dynamics are rapidly increasing, posing a great challenge to urban and environmental sustainability. In Sub-Saharan Africa city-regions, land use planning strategies and instruments used to guide urban dynamic patterns for urban and environmental sustainability are faced with various challenges, including insufficient data availability. Focusing on the Abuja city-region as a case study, the goal of this research is to contribute to effective land use planning for improving urban and environmental sustainability using integrated empirical data derived from Geographic Information Systems, Remote Sensing, and surveys to offer detailed and new insights into urban land dynamics.While investigating the mismatches between the past and current urban land cover and land use plans, the supervised classification of the land cover of LANDSAT data from 1987, 2002, and 2017 was used to quantify the non-urban development areas lost to urban/built-up. Expert interviews were applied to guide and develop three scenario alternatives to simulate land cover from 2017 to 2030 and 2050 using the Multi-Layer Perceptron Neural Network and Markov models. The scenarios included Business As Usual that extrapolates past trends; Regional Land Use Plan that restricts urban expansion to the land designated for urban development, and; Adjusted Urban Land that incorporates the leapfrogged settlements into the land designated for urban development. Based on these scenario alternatives, the potential degradation of the protected environmentally sensitive areas by the possible future urban dynamics was investigated. By overlaying and contrasting land use plans, land cover maps derived from satellite imagery, and expert surveys, the spatial inconsistencies and their causes between urban and regional plans, as well as the associated urban dynamics were investigated.The results indicated an increase in urban/built-up areas and large mismatches between the past/current urban land cover and the existing land use plans. Also, the results indicated high, little, and no potential degradation of the protected environmentally sensitive areas by the future urban dynamics under the Business As Usual, Adjusted Urban Land, and Regional Land Use Plan scenarios respectively. Additionally, the results illuminated multiple inconsistencies (e.g., spatial conflicts) between urban and regional plans, most prominently stemming from conflicts in administrative boundaries and a lack of interdepartmental coordination.The methods and the baseline information provided, especially from the Adjusted Urban Land scenario would be useful for effective land use planning. This would support improving the urban and environmental sustainability of the Sub-Saharan African city-regions and across the Global South, where insufficient data availability challenges land use planning.
ISBN: 9798209784302Subjects--Topical Terms:
3688547
Land area.
Urban Land Dynamics in the Abuja City-Region, Nigeria: Integrating GIS, Remotely Sensed, and Survey-Based Data to Support Land Use.
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Global urban dynamics are rapidly increasing, posing a great challenge to urban and environmental sustainability. In Sub-Saharan Africa city-regions, land use planning strategies and instruments used to guide urban dynamic patterns for urban and environmental sustainability are faced with various challenges, including insufficient data availability. Focusing on the Abuja city-region as a case study, the goal of this research is to contribute to effective land use planning for improving urban and environmental sustainability using integrated empirical data derived from Geographic Information Systems, Remote Sensing, and surveys to offer detailed and new insights into urban land dynamics.While investigating the mismatches between the past and current urban land cover and land use plans, the supervised classification of the land cover of LANDSAT data from 1987, 2002, and 2017 was used to quantify the non-urban development areas lost to urban/built-up. Expert interviews were applied to guide and develop three scenario alternatives to simulate land cover from 2017 to 2030 and 2050 using the Multi-Layer Perceptron Neural Network and Markov models. The scenarios included Business As Usual that extrapolates past trends; Regional Land Use Plan that restricts urban expansion to the land designated for urban development, and; Adjusted Urban Land that incorporates the leapfrogged settlements into the land designated for urban development. Based on these scenario alternatives, the potential degradation of the protected environmentally sensitive areas by the possible future urban dynamics was investigated. By overlaying and contrasting land use plans, land cover maps derived from satellite imagery, and expert surveys, the spatial inconsistencies and their causes between urban and regional plans, as well as the associated urban dynamics were investigated.The results indicated an increase in urban/built-up areas and large mismatches between the past/current urban land cover and the existing land use plans. Also, the results indicated high, little, and no potential degradation of the protected environmentally sensitive areas by the future urban dynamics under the Business As Usual, Adjusted Urban Land, and Regional Land Use Plan scenarios respectively. Additionally, the results illuminated multiple inconsistencies (e.g., spatial conflicts) between urban and regional plans, most prominently stemming from conflicts in administrative boundaries and a lack of interdepartmental coordination.The methods and the baseline information provided, especially from the Adjusted Urban Land scenario would be useful for effective land use planning. This would support improving the urban and environmental sustainability of the Sub-Saharan African city-regions and across the Global South, where insufficient data availability challenges land use planning.
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Die schnell wachsende Dynamik urbaner Raume stellt global eine grose Herausforderung fur die urbane und okologische Nachhaltigkeit dar. In den Stadtregionen in Subsahara-Afrika stehen die Strategien und Instrumente der Landnutzungsplanung, die zur Steuerung der urbanen Dynamik fur die urbane und okologische Nachhaltigkeit eingesetzt werden, vor verschiedenen Herausforderungen, einschlieslich der unzureichenden Verfugbarkeit von Daten. Fokussiert auf die Stadtregion Abuja als Fallstudie, das Ziel dieser Forschung ist es, zu einer effektiven Landnutzungsplanung zur Verbesserung der urbanen und okologischen Nachhaltigkeit beizutragen, indem integrierte empirische Daten aus Geographischen Informationssystemen, Fernerkundung und Umfragen genutzt werden, um detaillierte und neue Einblicke in die urbane Landdynamik zu bieten.Bei der Untersuchung der Diskrepanzen zwischen der vergangenen und der aktuellen stadtischen Landbedeckung und den Flachennutzungsplanen wurde die uberwachte Klassifizierung (supervised classification) der Landbedeckung von LANDSAT-Daten aus den Jahren 1987, 2002 und 2017 verwendet, um die nicht-stadtischen Entwicklungsflachen zu quantifizieren, die an die Stadt/Bebauung verloren gingen. Experteninterviews wurden zur Anleitung und Entwicklung von drei Szenarioalternativen zur Simulation der Landbedeckung von 2017 bis 2030 und 2050 unter Verwendung des Multi-Layer Perceptron Neural Network und Markov-Modellen verwendet. Die Szenarien umfassten "Business As Usual", das die Trends der Vergangenheit extrapoliert; "Regionaler Flachennutzungsplan", der die stadtische Expansion auf das fur die Stadtentwicklung vorgesehene Land beschrankt, und "Adjusted Urban Land", das die (Leapfrogging) Siedlungen in das fur die Stadtentwicklung vorgesehene Land einbezieht. Basierend auf diesen Szenario-Alternativen wurde die potenzielle Beeintrachtigung der geschutzten okologisch sensiblen Gebiete durch die mogliche zukunftige stadtische Dynamik untersucht. Durch Uberlagerung und Gegenuberstellung von Flachennutzungsplanen, aus Satellitenbildern abgeleiteten Landbedeckungskarten und Expertenbefragungen wurden die raumlichen Unstimmigkeiten und deren Ursachen zwischen Stadt- und Regionalplanen sowie die damit verbundene urbane Dynamik untersucht.Die Ergebnisse zeigten eine Zunahme der stadtischen/bebauten Flachen und grose Unstimmigkeiten zwischen der fruheren/aktuellen stadtischen Landbedeckung und den bestehenden Flachennutzungsplanen. Auserdem zeigten die Ergebnisse eine hohe, geringe und keine potenzielle Beeintrachtigung der geschutzten okologisch sensiblen Gebiete durch die zukunftige urbane Dynamik unter den Szenarien "Business As Usual", "Adjusted Urban Land"und "Regionaler Flachennutzungsplan". Daruber hinaus zeigten die Ergebnisse mehrere Widerspruche (z.B. raumliche Konflikte) zwischen stadtischen und regionalen Planen auf, die vor allem aus Konflikten der administrativen Grenzen und einer mangelnden Koordination zwischen den Behorden resultieren.Die Methoden und die zur Verfugung gestellten Basisinformationen, insbesondere aus dem "Adjusted Urban Land" Szenario, waren fur eine effektive Flachennutzungsplanung von Nutzen. Dies wurde dazu beitragen, die urbane und okologische Nachhaltigkeit der Stadtregionen in Subsahara-Afrika und im gesamten Globalen Suden zu verbessern, wo eine unzureichende Datenverfugbarkeit die Flachennutzungsplanung erschwert.
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