Building a Sustainability Index for Highway Infrastructures: Case Study of Flexible Pavements

Stella O. Obazee-Igbinedion
Center for Advanced Transportation and Infrastructure Engineering Research
Department of Civil Engineering, Morgan State University, USA
stellato@mail.com

Manoj K. Jha
Center for Advanced Transportation and Infrastructure Engineering Research
Department of Civil Engineering, Morgan State University, USA
manoj.jha@morgan.edu

Oludare Owolabi
Center for Advanced Transportation and Infrastructure Engineering Research
Department of Civil Engineering, Morgan State University, USA
oludare.owolabi@morgan.edu

 

ABSTRACT
The road network system consists of highway infrastructures which need to be maintained periodically – due to deterioration – in order to increase the life span of the system and provide riding comfort to the travelling public.  Factors that cause pavements to deteriorate are accumulated traffic axle loads, environmental conditions, climate, etc.  Deterioration creates conditions that undermine the performance of pavements.  A literature review indicates that analytical methods have been developed to design different components of pavement performances due to pavement conditions and sustainability.  These models were mostly based on definitions, operation, structural and functional research oriented analysis and they have contributed substantially to the society. However, the integration or correlations of sustainability indices with pavement condition indices were not fully explored. To fully understand and develop the proposed model, the triple sustainability dimensions (environmental, economic and social) which plays a major role in planning for both construction and maintenance of pavements is discussed.  A multi-linear regression analysis (MLRA) is proposed to calculate the sustainability index.  The following four possible characteristics of pavement performance indices for flexible pavements are considered (as independent variables) and analyzed for each section of pavement under consideration: (1) roughness, (2) surface distress, (3) skid resistance index, and (4) structural deflection.  A numerical example using field investigation data is performed to illustrate the developed approach.

 

Keywords: Flexible Pavements; Sustainability Index; Pavement Condition indices; Multi-Linear Regression Analysis (MLRA) Model; Pavement Performance Evaluation.

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