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Urban Sci. 2017, 1(2), 12; doi:10.3390/urbansci1020012

Modeling Determinants of Urban Growth in Conakry, Guinea: A Spatial Logistic Approach

1
Graduate School of Environmental Science, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan
2
Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan
*
Author to whom correspondence should be addressed.
Received: 10 March 2017 / Revised: 1 April 2017 / Accepted: 6 April 2017 / Published: 10 April 2017
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Abstract

The main objective of the present study was to integrate a logistic regression model (LRM), a geographic information system (GIS) and remote sensing (RS) techniques to analyze and quantify urban growth patterns and investigate the relationship between urban growth and various driving forces. Landsat images from 1986, 2000, and 2016 derived from the TM, ETM+, and OLI sensors respectively were used to simulate an urban growth probability map for Conakry. To better explain the effects of the drivers on the urban growth processes in the study area, variables for two groups of drivers were considered: socioeconomic proximity and physical topography. The results of the LRM using IDRISI Selva indicated that the variables elevation (β7 = 1.76) and distance to major roads (β4 = 0.67) resulted in models with the best fit and the highest regression coefficients. These results indicate a high probability of urban growth in areas with high elevation and near major roads. The validation of the model was conducted using the relative operating characteristic (ROC) method; which result exhibited high accuracy of 0.89 between the simulated urban growth probability map and the actual one. A land use/land cover (LULC) change analysis showed that the urban area had undergone continuous growth over the study period resulting in an extent of 143.5 km2 for the urban area class in 2016. View Full-Text
Keywords: urban growth; Conakry; logistic regression model; remote sensing; GIS; IDRISI Selva urban growth; Conakry; logistic regression model; remote sensing; GIS; IDRISI Selva
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Traore, A.; Watanabe, T. Modeling Determinants of Urban Growth in Conakry, Guinea: A Spatial Logistic Approach. Urban Sci. 2017, 1, 12.

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