DEVELOPMENT OF PREDICTIVE MODELS FOR SOME ANTHROPOMETRIC DIMENSIONS OF NIGERIAN OCCUPATIONAL BUS OPERATORS

Onawumi, A.S. and Adebiyi, K. A. and FajobI, Fajobi and OKE, Emmanuel Olusola (2016) DEVELOPMENT OF PREDICTIVE MODELS FOR SOME ANTHROPOMETRIC DIMENSIONS OF NIGERIAN OCCUPATIONAL BUS OPERATORS. European International Journal of Science and Technology, 5 (5). pp. 12-27. ISSN 2304-9693

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Abstract

Movement of commodities, material and men from one place to another using various automated means remains a major activity of mankind. The operation of the transportation systems placed much demand on operators’ capabilities and limitations in relation to human body dimensions. A stratified sample size of 160 drivers were randomly selected among the operators of commercial buses in six (6) selected motor parks within the study area were considered and anthropometric variables relating to seated drivers’ workplace were collected using developed and calibrated anthropometric seat, stadiometer, vernier-calipers, tape rule and bathroom weighing scale. The collected data were analysed using STATA 11.0 and Microsoft excel 2010. Descriptive statistics which included; mean, standard deviation, range and percentiles (5th, 50th and 95th percentiles) were determined. The database developed were used to describe the drivers’anthropometry. Design-Expert 6.0.8 version was used in modelling the anthropometric equations. Models were developed for buttock popliteal length, anterior arm reach and thigh clearance height from data collected for statures, weight and popliteal height sitting. The resulting models exhibited quadratic property with coefficient of determination (R2) ranging between 0.88 and 0.94. These model provide significantly efficient and effective tool for predicting the studied anthropometric dimensions Automotive industries whose market is in Nigeria and other similar manufacturing companies would find this models useful in both design and manufacture of goods.

Item Type:	Article
Uncontrolled Keywords:	Anthropometric variables, Response Surface Methodology, Modelling, Automobile industry.
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Mrs Hannah Akinwumi
Date Deposited:	18 Apr 2018 10:26
Last Modified:	18 Apr 2018 10:26
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/10638

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