Abstract:
This research work is a quantitative investigation of how the urban area is growing in relation to
how urban facilities are provided all in an attempt of seeking solutions for attaining sustainable
urban management. The main focus is on expansion of water pipe facilities. Proximity to a facility
is one of the measures of physical accessibility. The types of data comprises of both the primary
and secondary sources. The primary data comprises of geographic information from the field and
discussion with relevant authorities. The secondary data include maps, images and discussion with
relevant authorities. Three medium resolution Landsat images of 1986 (TM), 2001 (ETM+) and
2015(OLI) were used to derive urban land use/land cover change patterns of the study. The
maximum likelihood algorithm in ENVI 5.1 software environment was used to quantify the urban
growth using the supervised classification and Cooperative Visual image interpretation. The
Histogram analysis of the images was carried out to determine the classes of interest. Postclassification
comparison technique was used to produce growth/change map, and Accuracy
Assessment was carried out using the confusion matrix Kappa coefficient and ground truth. The
rate of urban growth was calculated using the Annual Urban Spatial Expansion Index (AUSEI).
The result of the analysis reveals that the urban area increased from 23.185km2 (1.70%) of the
total area in 1986 to about 72.108km2 in 2015 with an average growth rate of about 5.3%. Inventory
of water distribution facilities was collected and digitized in ArcGIS environment. The spatiotemporal
change of water distribution facilities (pipe networks) was calculated using the Annual
Water Infrastructure Expansion Index (AWIEI). A total of about 165.757 km length of water
distribution pipes networks were laid in the study area. These water distribution facilities are
discovered to be inadequate to meet the need of the fast growing urban area. The result of overlay
thiessen polygon analysis shows that about 14 major sttlements in the study area remain
inaccessibly to public water source. These communities are depending on other alternative sources
which may not meet the standard requirement of WHO (2012). Correlation and regression analysis
was carried out using SPSS. The result shows that there is a significant relationship between urban
growth and water facility with Pearson moment product of correlation (r) = 0.905. The regression
analyses indicate that a unit change in urban growth will require about 56.4% extension of new
pipe lines. In conclusion, the null hypothesis (H0) was rejected and the positive hypothesis (H1)
was accepted, there is a significant relationship between urban growth and expansion of water
facility.