Abstract
A bi-objective decision aid model for planning long-term maintenance of infrastructure systems is presented, oriented to interventions on their constituent elements, with two upgrade levels possible for each element partial/full repairs. The model aims at maximizing benefits and minimizing costs, and its novelty is taking into consideration, and combining, the system/element structure, volume discounts, and socioeconomic factors. The model is tested with field data from 229 sidewalks systems and compared to two simpler repair policies, of allowing only partial or full repairs. Results show that the efficiency gains are greater in the lower mid-range budget region. The proposed modeling approach is an innovative tool to optimize cost/benefits for the various repair options and analyze the respective trade-offs.
Highlights
It is widely recognized that infrastructure systems require maintenance actions in order to mitigate deterioration and restore the system’s condition (Pham et al, 1997; Zhang and Gao, 2012), or improve it
Michele and Daniela (2011) identified the following as factors that need be taken into account in the planning of management and maintenance actions: the progressive decrease in financial availabilities of public administrations; the higher citizens/users’ attention to the supplied service quantity/quality; the interest in public health and safety, the population ageing and the consequent difficulties in accessing services; the obsolescence of many infrastructures realized during the town growths; and the increase in social/economic/environmental costs
The growing interdependencies among different infrastructure systems, and other positive and negative impacts associated to technological advances, have become important in planning maintenance actions (Lee II et al, (2007); Nurre et al (2012); González et al (2016))
Summary
It is widely recognized that infrastructure systems require maintenance actions in order to mitigate deterioration and restore the system’s condition (Pham et al, 1997; Zhang and Gao, 2012), or improve it. Factors such as environmental conditions, design characteristics, and utilization level The problem of determining optimal modalities of infrastructure asset management and maintenance changes . The growing interdependencies among different infrastructure systems, and other positive and negative impacts associated to technological advances, have become important in planning maintenance actions (Lee II et al, (2007); Nurre et al (2012); González et al (2016))
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