Olayinka Otun - Academia.edu (original) (raw)

Papers by Olayinka Otun

Research paper thumbnail of A GIS-Based Spatial Decision Support System for Facility Location Planning in Nigeria

Malaysian Journal of Applied Sciences

Public facilities are to be located optimally in the interest of society. In Nigeria, public faci... more Public facilities are to be located optimally in the interest of society. In Nigeria, public facilities' locations are largely influenced by administrative constraints and politics, rather than efficiency and equity. This practice limits access, most especially, in rural communities where the population is dispersed. Studies on efficiency and equity in access to public health facilities focused on urban centres. The aim of this study, therefore, is to advance the understanding of the application of the spatial decision support system (SDSS) to evaluate efficiency and equity in access to public facilities in rural regions. The study used Ogun State, Nigeria as a case. The data used include the population and coordinates of the location of the settlements, coordinates of the location of health facilities and the transport networks. This study showed that 38.5% of settlements do not have access to primary care and the application of the p-median model showed that the efficiency o...

Research paper thumbnail of A spatial decision support system for special health facility location planning in developing regions

Ethiopian Journal of Environmental Studies and Management, 2017

Access to healthcare is a determinant of the wellbeing of the people. Planning the location and d... more Access to healthcare is a determinant of the wellbeing of the people. Planning the location and distribution of health facilities to ensure efficiency and equity in the face of limited resources can be challenging, especially where the type of care requires expensive equipments and specialists. This study attempts to provide a spatial decision support system (SDSS) to select specific locations for provision of mental health care out of existing health centres. The SDSS in this study uses a geographic information system (GIS) and location-allocation models. The data used in the SDSS include the coordinates of the location of the mental health facilities, the coordinates and population of the settlements and data on the roads and footpaths in the study area. The empirical results from the application of the SDSS framework shows that the average distance travelled in the existing configuration of mental health care centres (MHC) could be reduced from 15.3 km to 14 km by adopting a model plan. It is also shown that 74.85% of the settlements are more than ten kilometers from the nearest MHC. In order to minimize travel distance and maximize coverage of the population the minimize facilities, model option of the SDSS shows that 21 facilities are required to ensure that the average travel distance is 9.4km and that 98.6% of the settlements are not more than 20 km from the nearest MHC. Decision makers can use the SDSS discussed in this study to achieve efficiency or equity in the provision of health services. Thus it is hoped that health planners would adopt these techniques and tools to make their location decisions more efficient, reduce inequities and be rational in the use of resources.

Research paper thumbnail of Spatial Decision Support Systems for Locating Waste Landfills

The decision process to locate an undesirable facility like a waste landfill usually involves man... more The decision process to locate an undesirable facility like a waste landfill usually involves many stakeholders and many location criteria. The views of the stakeholders on the importance of the criteria often differ. Such a location problem is termed ‘a complex spatial problem’ and is solved by spatial multi-criteria based approaches. The objective of this paper is to provide a spatial decision support system (SDSS) that integrates multi-criteria and location-allocation (L-A) models to support the decision process of locating a waste landfill. The SDSS was applied to find a suitable location for a landfill in Ijebu-Ode, a medium sized city in Nigeria. The data input into the multi-criteria analysis model of the SDSS include three town planning regulatory constraint maps and four environmental factor maps. Data input into the L-A model include the location and amount of waste generated at nineteen waste collection points in the study area. Data on the road network was used to dete...

Research paper thumbnail of Incremental planning of the location of public health facilities in a rural region

Indonesian Journal of Geography

Some people in rural areas are often excluded from using health facilities in developing nations ... more Some people in rural areas are often excluded from using health facilities in developing nations due to political interference in facility location decision-making. Limited attention has been paid in the literature to promoting inclusiveness in public facilities usage in developing nations. Therefore, this study was designed to examine the access to Primary Health Centres (PHCs) in the Yewa region, Nigeria. Data on the 509 settlements and 91 PHCs in the Yewa region were obtained from government directories. The p-median Location-Allocation model was used for data analyses. The study showed that the number of PHCs increased and access to them improved in the Yewa region between 1991 and 2019. It was also shown that inclusiveness in facilities could be promoted by optimally adding new PHCs. The study assessed the effectiveness of past locational decisions, similar to other studies in Bangladesh and India, and revealed that the military administration performed better than the civilia...

Research paper thumbnail of A GIS Based University’s Campus Evacuation Plan in Case of Emergencies

Malaysian Journal of Applied Sciences

Emergencies are bound to happen anywhere at any time and as such pre-planning is necessary. Thi... more Emergencies are bound to happen anywhere at any time and as such pre-planning is necessary. This study outlined a procedure by which students on a university campus can be evacuated safely, while optimising use of available resources. Applications of optimisation techniques in campus emergency planning studies are not common, especially in developing countries. Collaboration of students is essential for a successful campus emergency evacuation, as such this study examined factors that will predict students’ behaviour in an emergency. The study adopted a location-allocation (L-A) model based decision support system (DSS) to implement the campus evacuation plan. The DSS was implemented within a geographic information system (GIS) environment. A total of 150 students were selected randomly across six faculties at Olabisi Onabanjo University, Nigeria for the study. In the event of an emergency it is proposed that all the students will move to designated assembly areas. The output ...

Research paper thumbnail of An Examination of the Determinants of The Mode of Transport to Primary Health Facilities in A Developing Region

Indonesian Journal of Geography, 2014

Access to primary health facilities is a key determinant of the overall well being of the populat... more Access to primary health facilities is a key determinant of the overall well being of the population in an area. In rural regions were distances to public facilities are usually longer compared to urban areas, it is not clear if people are still willing to walk to use these facilities. It is pertinent therefore to clarify such uncertainty since walking distance is a standard measure used to plan such public facilities particularly in rural regions. The objective of this study therefore is to provide a framework to determine the factors that will influence a health care service seeker in a developing region to walk or use other means of transport to a primary health facility. The case study for this research is Ijebu North Local Government Area of Ogun state made up of eleven urban and rural wards. One hundred and fifty households were selected at random for interview. Logit regression was used to describe how some predictor variables were used to explain the likelihood of a part...

Research paper thumbnail of A GIS-Based Spatial Decision Support System for Facility Location Planning in Nigeria

Malaysian Journal of Applied Sciences

Public facilities are to be located optimally in the interest of society. In Nigeria, public faci... more Public facilities are to be located optimally in the interest of society. In Nigeria, public facilities' locations are largely influenced by administrative constraints and politics, rather than efficiency and equity. This practice limits access, most especially, in rural communities where the population is dispersed. Studies on efficiency and equity in access to public health facilities focused on urban centres. The aim of this study, therefore, is to advance the understanding of the application of the spatial decision support system (SDSS) to evaluate efficiency and equity in access to public facilities in rural regions. The study used Ogun State, Nigeria as a case. The data used include the population and coordinates of the location of the settlements, coordinates of the location of health facilities and the transport networks. This study showed that 38.5% of settlements do not have access to primary care and the application of the p-median model showed that the efficiency o...

Research paper thumbnail of A spatial decision support system for special health facility location planning in developing regions

Ethiopian Journal of Environmental Studies and Management, 2017

Access to healthcare is a determinant of the wellbeing of the people. Planning the location and d... more Access to healthcare is a determinant of the wellbeing of the people. Planning the location and distribution of health facilities to ensure efficiency and equity in the face of limited resources can be challenging, especially where the type of care requires expensive equipments and specialists. This study attempts to provide a spatial decision support system (SDSS) to select specific locations for provision of mental health care out of existing health centres. The SDSS in this study uses a geographic information system (GIS) and location-allocation models. The data used in the SDSS include the coordinates of the location of the mental health facilities, the coordinates and population of the settlements and data on the roads and footpaths in the study area. The empirical results from the application of the SDSS framework shows that the average distance travelled in the existing configuration of mental health care centres (MHC) could be reduced from 15.3 km to 14 km by adopting a model plan. It is also shown that 74.85% of the settlements are more than ten kilometers from the nearest MHC. In order to minimize travel distance and maximize coverage of the population the minimize facilities, model option of the SDSS shows that 21 facilities are required to ensure that the average travel distance is 9.4km and that 98.6% of the settlements are not more than 20 km from the nearest MHC. Decision makers can use the SDSS discussed in this study to achieve efficiency or equity in the provision of health services. Thus it is hoped that health planners would adopt these techniques and tools to make their location decisions more efficient, reduce inequities and be rational in the use of resources.

Research paper thumbnail of Spatial Decision Support Systems for Locating Waste Landfills

The decision process to locate an undesirable facility like a waste landfill usually involves man... more The decision process to locate an undesirable facility like a waste landfill usually involves many stakeholders and many location criteria. The views of the stakeholders on the importance of the criteria often differ. Such a location problem is termed ‘a complex spatial problem’ and is solved by spatial multi-criteria based approaches. The objective of this paper is to provide a spatial decision support system (SDSS) that integrates multi-criteria and location-allocation (L-A) models to support the decision process of locating a waste landfill. The SDSS was applied to find a suitable location for a landfill in Ijebu-Ode, a medium sized city in Nigeria. The data input into the multi-criteria analysis model of the SDSS include three town planning regulatory constraint maps and four environmental factor maps. Data input into the L-A model include the location and amount of waste generated at nineteen waste collection points in the study area. Data on the road network was used to dete...

Research paper thumbnail of Incremental planning of the location of public health facilities in a rural region

Indonesian Journal of Geography

Some people in rural areas are often excluded from using health facilities in developing nations ... more Some people in rural areas are often excluded from using health facilities in developing nations due to political interference in facility location decision-making. Limited attention has been paid in the literature to promoting inclusiveness in public facilities usage in developing nations. Therefore, this study was designed to examine the access to Primary Health Centres (PHCs) in the Yewa region, Nigeria. Data on the 509 settlements and 91 PHCs in the Yewa region were obtained from government directories. The p-median Location-Allocation model was used for data analyses. The study showed that the number of PHCs increased and access to them improved in the Yewa region between 1991 and 2019. It was also shown that inclusiveness in facilities could be promoted by optimally adding new PHCs. The study assessed the effectiveness of past locational decisions, similar to other studies in Bangladesh and India, and revealed that the military administration performed better than the civilia...

Research paper thumbnail of A GIS Based University’s Campus Evacuation Plan in Case of Emergencies

Malaysian Journal of Applied Sciences

Emergencies are bound to happen anywhere at any time and as such pre-planning is necessary. Thi... more Emergencies are bound to happen anywhere at any time and as such pre-planning is necessary. This study outlined a procedure by which students on a university campus can be evacuated safely, while optimising use of available resources. Applications of optimisation techniques in campus emergency planning studies are not common, especially in developing countries. Collaboration of students is essential for a successful campus emergency evacuation, as such this study examined factors that will predict students’ behaviour in an emergency. The study adopted a location-allocation (L-A) model based decision support system (DSS) to implement the campus evacuation plan. The DSS was implemented within a geographic information system (GIS) environment. A total of 150 students were selected randomly across six faculties at Olabisi Onabanjo University, Nigeria for the study. In the event of an emergency it is proposed that all the students will move to designated assembly areas. The output ...

Research paper thumbnail of An Examination of the Determinants of The Mode of Transport to Primary Health Facilities in A Developing Region

Indonesian Journal of Geography, 2014

Access to primary health facilities is a key determinant of the overall well being of the populat... more Access to primary health facilities is a key determinant of the overall well being of the population in an area. In rural regions were distances to public facilities are usually longer compared to urban areas, it is not clear if people are still willing to walk to use these facilities. It is pertinent therefore to clarify such uncertainty since walking distance is a standard measure used to plan such public facilities particularly in rural regions. The objective of this study therefore is to provide a framework to determine the factors that will influence a health care service seeker in a developing region to walk or use other means of transport to a primary health facility. The case study for this research is Ijebu North Local Government Area of Ogun state made up of eleven urban and rural wards. One hundred and fifty households were selected at random for interview. Logit regression was used to describe how some predictor variables were used to explain the likelihood of a part...