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Computational Science, Engineering & Technology Series
ISSN 1759-3158 CSETS: 32
CIVIL AND STRUCTURAL ENGINEERING COMPUTATIONAL METHODS Edited by: Y. Tsompanakis, P. Iványi and B.H.V. Topping
Chapter 4
Optimizing the Impact of Pavement Maintenance Decisions on Road Network Sustainability A.P. Chassiakos, E. Konstantinou and N. Moschonas
Department of Civil Engineering, University of Patras, Greece A.P. Chassiakos, E. Konstantinou, N. Moschonas, "Optimizing the Impact of Pavement Maintenance Decisions on Road Network Sustainability", in Y. Tsompanakis, P. Iványi and B.H.V. Topping, (Editors), "Civil and Structural Engineering Computational Methods", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 4, pp 61-87, 2013. doi:10.4203/csets.32.4
Keywords: road sustainability, pavement condition, environmental impacts, social
impacts, CO2 emissions, pavement maintenance, pavement management,
optimization.
Abstract
A key challenge for the transportation community worldwide is the development of
a sustainability framework for the operation and maintenance of transport
infrastructure projects. The sustainability perspective copes with the efficient use of
resources, the sensitivity to environmental and social constraints, and the fairness to
people living in different places and at different times. The main objective of this
paper is to describe the dynamic impact of road pavement condition on economic,
social, and environmental indicators for the purpose of developing robust
optimization models for sustainable road network management. These impacts
include travel delays and vehicle operating costs, accidents, accessibility and social
integration, fuel consumption, air pollution arising from vehicle emissions, natural
resource depletion and ecological impacts. The paper presents and analyses several
aspects of the problem: existing tools and methodologies, and new research
directions for sustainable maintenance management of road networks. Methods and
indices to evaluate pavement defects and assess overall rolling condition of road
segments are presented. Mathematical models for pavement performance prediction
are described. Past research of quantification and evaluation of environmental, social
and economic impacts associated with road and pavement condition is discussed. An
analysis of optimization methods for maintenance prioritization and resource
allocation is further provided. Finally, future needs and challenges for sustainable
road infrastructure growth and management are summarized.
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