http://41.74.91.244:8080/handle/123456789/901 Sat, 04 Apr 2026 13:02:35 GMT 2026-04-04T13:02:35Z http://41.74.91.244:8080/handle/123456789/4643 Mobility and Access for Off-Road Rural Farmers in West-Akim District Danso-Wiredu, E.Y. The study is on the rural transportation problem in Ghana and its consequences on the rural people, especially those who live in off road villages (villages that do not have access to regular transportation systems). The study specifically discusses the failure of the existing road transport network to provide sufficient services to rural people in the count1y and its socio-economic consequences on the people living in such areas. It starts with the importance of transportation and the relationship between transp ort and development in general. It then continues with the main problem of the study which is the poor state of rural transport in Ghana, stating clearly the failure of road transport to provide adequate transport services for the rural people. The primary information was gathered in the field using different qualitative methods and questionnaire. In addition, second01y sources were used to support the primmy data collected in the field. Two villages from West-Akim District were used for the study: Owuarkesim, representing an off road village and Odjarde, representing a village which is fortunate to have a good road passing through it Sat, 01 Jan 2011 00:00:00 GMT http://41.74.91.244:8080/handle/123456789/4643 2011-01-01T00:00:00Z http://41.74.91.244:8080/handle/123456789/505 A quantitative methodology for assessing sustainable tourism potentials Kursah M.B. Sustainable tourism potential is the measure of the ability and opportunity of material and nonmaterial elements to attract tourists to a destination that takes full account of its current and future socioeconomic and environmental impacts, while addressing the needs of visitors, the industry, the environment, and the host communities. Thus, an effective way to developing sustainable tourism is a better identification of tourism potentials of different areas for accurate planning. Using a quantitative approach, this study identified the pull and push factors in assessing tourism potentials in Ghana, normalized the factors using scaled-item model and weight system assigned by tourists. It also acquired availability scores for each factor in five Municipal and District Assemblies (MDAs) in Ghana and used this to show the application of the model. The final output is the tourism potential index (TPI), which could be used for assessing sustainable tourism development at the micro and the macrolevels. The article concludes with a ranking of the selected MDAs according to their tourism potentials and substantiation of the scaled-item model to be implemented to ensure a sustainable tourism development of the MDAs. For the pull factors, the Effutu municipality with an index of 4.44 is ranked highest, followed in that order by Gomoa West district (4.26), Agona West municipality (4.00), Ajumako-Enyan-Essiam district (3.98), and Gomoa East district (3.9). For the TPI, which included the pull and the push factors, the Effutu municipality is still ranked highest with an index of 3.20. This is followed, in that order, by Gomoa West district (2.99), Ajumako-Enyan- Essiam (2.63), Gomoa East (2.59), and Agona West municipality (2.02), which lost the third position for the least position. Effutu municipality (3.20) with the highest TPI is 1.18 higher than the Agona West municipality (2.02) with the least TPI. It is suggested that examining the tourism potentials of areas based on the pull factors or attraction sites/facilities alone is inadequate as the tourism industry involves other sectors and push factors such as security and safety, socioeconomic, environment, and natural resources. � 2017 Cognizant, LLC. Kursah, M.B., Department of Geography Education, University of Education Winneba (UEW), Winneba, Ghana Sun, 01 Jan 2017 00:00:00 GMT http://41.74.91.244:8080/handle/123456789/505 2017-01-01T00:00:00Z http://41.74.91.244:8080/handle/123456789/502 Least-cost pipeline using geographic information system: The limit to technicalities Kursah M.B. Increasing demand for water in Wapuli and its environ led to a proposal to construct a pipeline to link the town to an existing water plant. This paper developed a geospatial model incorporating multicriteria analysis involving technical factors such as slope, landcover, watercourses, distance to roads and soil types to determine a least-cost path for the pipeline. However, the first least-cost path passes through a tiny sacred grove near Moadani dam, necessitating the generation of a second least-cost path by considering sacred groves as constraint. The result showed that the least-cost path avoided steep slopes, and runs through relatively levelled grounds. This analysis showed the importance of cultural factors in route planning. It is recommended that in route planning attention be given to cultural factors much in the same way as the technical factors. Copyright � 2017, IGI Global. Kursah, M.B., Geography Department, University of Education Winneba, Winneba, Ghana Sun, 01 Jan 2017 00:00:00 GMT http://41.74.91.244:8080/handle/123456789/502 2017-01-01T00:00:00Z http://41.74.91.244:8080/handle/123456789/492 Modelling malaria susceptibility using geographic information system Kursah M.B. Identifying and/or predicting the geography of malaria will help decision makers locate the particular area with the health problem, and to design area-specific interventions. Using GIS (ArcMap 10.1), a spatial analysis of environmental factors that contribute to the spread of malaria vector was conducted to develop a malaria susceptibility model that could be used in effective malaria control planning. The study first determined malaria susceptibility index and combined it with geospatial modelling to predict malaria susceptibility. Clinical malaria cases were then geocoded and tested to determine the accuracy of the prediction. The results show that 72.3, 24.5, 3.1 and 0.1 % of the clinical malaria incidence were found in areas that were predicted to have very high, high, low and very low susceptibility levels. Hence, the model, to a large extent, predicted malaria occurrences. The conclusion is that modelling such as this can help determine spatio-temporal prediction and mapping of malaria incidence to aid in the design and administration of appropriate interventions. � Springer Science+Business Media Dordrecht 2016. Kursah, M.B., University of Education Winneba, Winneba, Ghana Sun, 01 Jan 2017 00:00:00 GMT http://41.74.91.244:8080/handle/123456789/492 2017-01-01T00:00:00Z