School of Environmental Technology (SET)

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School of Environmental Technology (SET)

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Author: search.filters.author.Musa, Haruna D.

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    Modelling Urban Sprawl along Minna Western Bye-Pass Using Remotely Sensed Data.
    (Maiduguri Journal of Art and Social Sciences (MAJASS), 2010) Bala Banki M.; Musa, Haruna D.
    Many state capitals today in Nigeria are witnessing unprecedented populations growth and increasing rate of urbanization that are deficient in indispensable infrastructural facilities’, urban planners who are meant to have the knowledge of future urban growth and the multi-dimensional factors which has hitherto influence the growth of towns and cities are unaware of them because of the inefficiency of the traditional surveying method. In view of this prevailing scenario in Nigeria, this paper presents the Capability of using Remote Sensing GIS and spatial statistics in modeling urban sprawl along Minna Western Bye-pass. Data for the study were obtained through questionnaires and satellite imagery. The analysis of the field survey revealed that low price of land, lack f basic utility facilities in the area, low level of awareness of development control and low level of education of inhabitants were the major causal factors of sprawl in these areas. The analysis of the time series spatial data such GIS, SPOT HR image acquired in 1993 and Landsat ETM image acquired in 2007 shows that low density sprawl/ and ribbon sprawl patterns are the patterns identifiable and synonymous to this areas, comparison of data set for the two dates also revealed a change of 191,40 acres (77, 4571.14 sq. m.), representing 59% total landuse change over the same period, where the population grew by 111.61%, Spatial regression analysis was carried out to model the extent of sprawl in the area First, a simple linear regression analysis conducted using key factors identified (independent variables) and percentage of built-SOM up (POBUILT) for each area along the Bye-Pass (dependent variable) and results s how’s that the percentage of those who relocated because of low in price of land in the study area (LOPLAND) and percentage of migrant in search for white-collar job (COLLARJOB) contribute more to the explanator power of the model. Multiple regression analysis was finally done by regressing LOPLAND, population of year 200)7 / Independent variable and POBUILT, dependent variable. to fashion out an equation that can forecast future sprawl, and it was established that built-up area for 2021 will be 3,888,23acres, which reveals excessive future spatial development along the bve- pass.
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    Measuring Inequality of Public Health Facility Provision in Bida Town, Niger State.
    (Centre for Human Settlement and Urban Development journal, 2010) Musa, Haruna D.; Gana, F. N
    The capacity of an urban enter to efficiently deliver its service is related to the availability, adequacy and efficiency of operation of its urban public infrastructure. Public health facilitates are therefore the fundamental necessities of any community ( urban or rural ), because the health of people has a direct correlation with the productive capacity and labour efficiency. Urban facilities include all the supportive service required to maintain the urban system. They may be conceived of as a medium of objects by which various urban services are delivered. The effective provision and efficient functioning vis a vis the population is an indication of general level of equality in life and entire environment; that’s the provision on facilities has to be in consonance with the population or demand such as family. This paper therefore, assesses the adequacy of public health facilities in Bida town using Gini coefficient. Attempt was made also to identify the existing health facilities in the study area; their types; location and distribution. The Gini coefficient (G) is one of the commonly most used indicators for measuring distribution. It is traditionally applied to the measurement of income inequality, but has also been applied to measure land inequality. The value of G ranges from 0-100 signifying that , the higher the G-value the greater the degree of inequality. The result reveals that distribution of public health facilitates in Bida town are not guided by population distribution in the wards. The inequality level was assessed using Lorenz Curve; it is observed that about 50% of the public health facilitates and quite a number of the inhabitants have no adequate access to these facilities. The field survey analysis however, reveals that the degree of inequality of public health facilitates provision and level of town minimal / low (gini coefficient (G)=42.8). the assessment of the adequacy of health facilities provision and level of patronages were also measured based on the field survey result using structured questionnaires. Total of 140 questionnaires were administered using systematic random sampling techniques. In this case, houses in the selected wards were chosen randomly to represent the entire houses in the area. 10 questionnaires each were assigned to 14 specified wards covering the entire Bida town. Therefore, the study analysis is based on 140 surveys questionnaires processed representing 100.0% response rate. The result shows that public health facilities service in Bida town is adequate 86(61.4%) and the level of patronage is determined by their cost of service (47%), nearness to homes (17%), and existing equipment (15%). It therefore, recommends that the government and other stakeholders or sponsoring agencies must ensure that all health institutions provide high quality services.
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    An Analysis of Spatial Distribution of Primary and Secondary Schools in Bida Town, Nigeria
    (Abuja Journal of Geography and Development.Department of geography and Environmental Management, University of Abuja, Nigeria, 2012) Musa, Haruna D.; Mohammed,Bala Banki
    Educational Facilities location in Nigeria has been observed to be politically biased, so much that an area is over serviced at the expense of other areas in dire need of them. This should not be the case as it should be based on the principle of equity, accessibility and economic efficiency to every individual irrespective of economic status and geographical location. In effort to bridge the gaps to reduce the imbalances that this paper analyses the distribution of primary and secondary schools in Bida town to establish the spatial degree of inequality and concentration in the provision of basic educational facility. The study employed GIS techniques to show spatial distribution of primary and secondary school in Bida and statistical techniques (spearman rank correlation)to assessthe degree of inequality in concentration of basic educational facility. The result reveals that provision of primary and secondary school in Bida town are not guided by population distribution in the wards as the calculated t-value, 1.28 falls below the critical t-value of 1.78. To assess the level of inequality using Lorenz Curve, It is observed that about 50% of the basic educational facilities in Bida town are enjoined by about 39% of the inhabitant. This implies that some areas in Bida are deficient in basic educational facilities and quite a number of the inhabitant have no adequate access to these facilities, and also further establish that population concentration in various wards were not considered in the distribution of primary and secondary schools in Bida town. The population and number of primary and secondary school distribution are in fair inequality level, indicates relatively some degree of inequality (Gini Coefficient value is 0.57).