<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>URBAN GROWTH PATTERNS AND PROCESSES IN LAGOS ISLAND  LOCAL GOVERNMENT AREA, NIGERIA</title>
<link href="http://hdl.handle.net/123456789/1025" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/1025</id>
<updated>2026-04-06T20:05:35Z</updated>
<dc:date>2026-04-06T20:05:35Z</dc:date>
<entry>
<title>URBAN GROWTH PATTERNS AND PROCESSES IN LAGOS ISLAND  LOCAL GOVERNMENT AREA, NIGERIA</title>
<link href="http://hdl.handle.net/123456789/1026" rel="alternate"/>
<author>
<name>OLANIRAN, HEZEKIAH DARAMOLA</name>
</author>
<id>http://hdl.handle.net/123456789/1026</id>
<updated>2022-02-14T08:41:11Z</updated>
<published>2019-06-01T00:00:00Z</published>
<summary type="text">URBAN GROWTH PATTERNS AND PROCESSES IN LAGOS ISLAND  LOCAL GOVERNMENT AREA, NIGERIA
OLANIRAN, HEZEKIAH DARAMOLA
Unplanned urban growth is one of the major challenges in developing countries. The literature on &#13;
urban growth has focused more on horizontal growth, without a corresponding emphasis on &#13;
vertical growth. Even within the urban horizontal growth analysis, greater attention has been on &#13;
the dynamic patterns rather than processes of growth. This study was, therefore, designed to &#13;
analyse the spatiotemporal dynamics, patterns, and processes of horizontal and vertical urban &#13;
growth in Lagos Island Local Government Area (LGA), Nigeria.&#13;
Urban Morphology and Complexity theories provided the framework, while a survey research &#13;
design was adopted. Lagos Island LGA was purposively selected given the concentration of high rise buildings. A total of 1,200, out of 47,447 households were systematically selected using &#13;
Neumann (2014) probability method. Socio-economic and building related data were collected &#13;
through questionnaire survey. Landsat (1984, 2000, and 2015) and IKONOS (2013) images &#13;
provided information on growth patterns and processes. Spatiotemporal dynamics of urban &#13;
growth were analysed using change detection and ANOVA. Moran’s Index (I), spatial metrics &#13;
(Clumpiness index) and spatial regression were used to analyse horizontal growth patterns and &#13;
processes. Three-Dimensional Spatial Index (3DSI), Nearest Neighbour Index (&#119877;&#119899;), vertical &#13;
entropy (&#119867;&#119899;) and standard regression were used to analyse patterns and processes of vertical &#13;
growth. Cellular Automata Markov model (CA-Markov) and binary logistic regression were used &#13;
to predict future urban growth. Analyses were conducted at p≤0.05.&#13;
Age of household heads was 39.92±12.48 years, while 65.5% were male. Household size was &#13;
4.92±2.38 and income was N66,468.43±N33,798.96 per month. Urban land area increased from &#13;
4.20km² in 1984 to 5.40km² in 2015. Net and gross changes in the built-up area were ±0.77km² &#13;
and 1.45km² respectively. There were significant spatial variations in urban horizontal growth in &#13;
1984 (F(1;18)=3.79), 2000 (F(1;18)=5.71) and 2015 (F(1;18)=11.75), but no significant temporal &#13;
variation. Horizontal temporal growth patterns were significantly clustered (I=0.28(1984), &#13;
0.53(2000) and 0.29(2015)). Fragmentation and aggregation were the major processes of urban &#13;
horizontal growth (Clumpiness index=0.87(1984), 0.84(2000) and 0.87(2015)). Population &#13;
growth (β=0.98), building lot size (β=0.04), demand for space (β=0.22) and housing stock &#13;
(β=0.0003) were major drivers of urban horizontal growth. Vertical growth increased between &#13;
2000 and 2015 (3DSI=6914.45) more than between 1984 and 2000 (3DSI=6601.82). Vertical &#13;
growth pattern was significantly clustered (&#119877;&#119899;=0.52), while aggregation (&#119867;&#119899;=0.1) was the major &#13;
temporal process of vertical growth. Number of financial institutions (β=0.68), rental value &#13;
(β=0.46) and proximity to water bodies (β=0.63) were the major drivers of vertical growth. By &#13;
2031, about 71.5% of Lagos Island would have been built-up. Proximity to water bodies through &#13;
land reclamation (β=4.11, Exp(β)=60.74) would be the most significant predictor of future urban &#13;
growth.&#13;
Lagos Island Local Government Area, Nigeria has witnessed both horizontal and vertical urban &#13;
growth due to fragmentation and aggregation of urban patches between 1984 and 2015. Urban &#13;
horizontal growth will decrease with the increasing vertical expansion, hence the need for &#13;
effective urban planning.
</summary>
<dc:date>2019-06-01T00:00:00Z</dc:date>
</entry>
</feed>
