Title: Considering race and gender distributions of the target user population in the multivariate design of vehicle seating
Authors: K. Manjrekar, M.B. Parkinson
Addresses: Department of Mechanical Engineering, The Pennsylvania State University, University Park 16802, PA, USA. ' Department of Engineering Design, Department of Mechanical Engineering, The Pennsylvania State University, 213 Hammond, University Park 16802, PA, USA
Abstract: The spatial dimensions of vehicle seats affect their ability to accommodate the physical requirements of the target user population. This paper presents a methodology for selecting the relevant design parameters, including the width, depth, and height of the pan as well as the height of the back. The paper also explores the effect of gender and racial composition of the user population on these parameters. The results obtained through univariate analysis are compared with those of multivariate analysis, demonstrating that applying univariate analysis to a multivariate problem leads to misleading results and poor estimates of accommodation. In contrast, multivariate analysis provides the opportunity for tradeoff studies as many parameter combinations can achieve the desired accommodation level. The methodology is demonstrated through several design scenarios for target user populations of different racial and gender distributions.
Keywords: vehicle seating; seat fit; anthropometry; design parameters; spatial analyses; vehicle design; gender; racial composition; multivariate design; ergonomics; human factors; seat design.
International Journal of Vehicle Design, 2011 Vol.55 No.2/3/4, pp.174 - 188
Published online: 07 Jun 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article