Geography

Permanent URI for this communityhttps://repository.ui.edu.ng/handle/123456789/294

Browse

Start date: 2000Subject: search.filters.subject.Ibadan

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Geograpic information systems in determining road traffic crash analysis in Ibadan, Nigeria
    (2014-09) Rukewe, A.; Taiwo, O. J.; Fatiregun, A. A.; Afuwape, O. O.; Alonge, T. O.
    Background: Road traffic accidents are frequent in this environment, hence the need to determine the place of geographic information systems in the documentation of road traffic accidents. Aim & Objectives: To investigate and document the variations in crash frequencies by types and across different road types in Ibadan, Nigeria. Materials & Methods: Road traffic accident data between January and June 2011 were obtained from the University College Hospital Emergency Department's trauma registry. All the traffic accidents were categorized into motor vehicular, motorbike and pedestrian crashes. Georeferencing of accident locations mentioned by patients was done using a combination of Google Earth and ArcGIS software. Nearest neighbor statistic, Moran's-I, Getis-Ord statistics, Student T-test, and ANOVA were used in investigating the spatial dynamics in crashes. Results: Out of 600 locations recorded, 492 (82.0%) locations were correctly georeferenced. Crashes were clustered in space with motorbike crashes showing greatest clustering. There was significant difference in crashes between dual and non-dual carriage roads (P = 0.0001), but none between the inner city and the periphery (p = 0.115). However, significant variations also exist among the three categories analyzed (p = 0.004) and across the eleven Local Government Areas (P = 0.017). Conclusion: This study showed that the use of Geographic Information System can help in understanding variations in road traffic accident occurrence, while at the same time identifying locations and neighborhoods with unusually higher accidents frequency.
  • Thumbnail Image
    Item
    The August 2011 flood in Ibadan, Nigeria: anthropogenic causes and consequences
    (Springer, 2012) Agbola, B. S.; Ajayi, O.; Taiwo, O. J.; Wahab, B. W.
    Determining when and where flood strikes can be a daunting task. Apart from heavy and prolonged rainfalls and river overflows, there are anthropogenic causal factors of flooding. These anthropogenic factors are significantly variable and exacerbate floods, but may be difficult to measure. This study aims to unravel some of the anthropogenic factors, particularly with respect to their contributions to the flood in Ibadan City on 26 August 2011. Data were collected through structured questionnaire and key informant interviews. The August 2011 Ibadan flood was perhaps the worst in the history of this ancient city. Twelve anthropogenic factors are broadly identified as having contributed to the flood and the flood had five major consequences. Some policy implications that can help prevent future flood occurrence are outlined.
  • Thumbnail Image
    Item
    Remote sensing analysis of the spatio-temporal growth of Ibadan city between 1984 and 2006
    (2010-03) Taiwo, O. J.
    This study focussed on the capability of medium resolution satellite imageries to map out the spatial pattern of the growth of cities in developing countries, where real time data on city growth is absent, or at best, scarce. Landsat TM and ETM for 1984 - 2006 were used in delineating the pattern of urban growth. Unsupervised and latter supervised algorithms were used in identifying the extent of growth of the city. A vector change analysis technique was used to analyse changes in the spatial growth of the city among and between the different administrative units, and the different years under consideration. The result of the study showed a 6.64% annual growth for the city, while the highest level of urbanization was found in Akinyele, Ido, and Oluyole Local Government Areas, respectively. In addition, using Markov chain modelling approach, the growth rate of the city was predicted. The growth prediction of the city of Ibadan was based on the historical trends observed between 1984 and 2006, under the current policy constraints and the physical environment. The predicted urbanization also showed that by 2028, Ido LGA would have surpassed the other two LGAs in its urban growth.