Programme: Estate Manangement
Permanent URI for this collectionhttp://itsupport.cu.edu.ng:4000/handle/123456789/28806
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Item STATISTICAL MODELING OF THE RELATIONSHIP BETWEEN CITESCORE AND JOURNAL PERCENTILES OF BUILDING AND CONSTRUCTION JOURNALS(Pushpa Publishing House, 2023) Peter, N. J.; Iroham, Chukwuemeka O.Building and construction are one of the major subject categories in Scopus, Elsevier. Building and construction journals are journals that publish articles and review papers in all areas of building, construction, structures, construction materials, civil engineering, and building and construction management amongst others. This paper proposes a modified quartile model which can be used to predict the journal percentile using the CiteScore as the independent variable. The model evaluation metrics signal a good fit and the proposed model yielded journal percentile (JP) close to the original JP. The knowledge of the CiteScore can now be used to predict the percentile and by extension, the quartile of journals in building and construction in Scopus or Web of Science.Item Three attributes determining land values in three selected housing estates in Uyo, Nigeria(Frontiers in Sustainable Cities, 2024) Iroham, Chukwuemeka O.; Okagbue, Hilary I.; Ekanem, Inimfon F.; Peter, N. J.; Samuel, Olugbemisola W.; Nto, Sunday E.; Isiaka, Saheed; Adedotun, Adedayo F.There is a knowledge gap regarding the specific attributes (location-specific, environmental, and neighborhood) that impact land value, the relationship among these attributes, and the degree of impact on the land values in residential estates in Uyo, Nigeria. The three factors all combine to create a unique picture of a place, impacting its desirability and ultimately, its land value. This study explores the relationship between various land value attributes within specific residential estates (Ewet Housing Estate, Shelter Afrique Estate, and Akwa-Ima Estate) in Uyo. A questionnaire was designed and used to solicit data from the respondents living in the three estates with the aid of the purposive sampling technique. The findings revealed the following: Closeness to school is the location-specific attribute that contributes the most to land value, and closeness to recreational centers contributes the least. The presence of security and police stations had the most significant contribution to land value, and the presence of noise in the neighborhood had the least significant contribution. Peace, quiet, and beauty had the most significant contribution to land value, and the presence of lakes and water bodies in the environment contributed the least to land value. The factor analysis yielded two major factors for location-specific attributes: ‘transport’ and ‘place’. The factor analysis grouped the neighborhood attributes into two factors: ‘easily controlled’ and ‘not easily controlled’. All three attributes of land values are positively correlated with one another. Implications for research and recommendations were made.