Incorporating socio-political criteria into the maintenance prioritization of Chilean urban pavement networks

Incorporating socio-political criteria into the maintenance prioritization of Chilean urban pavement networks

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Article ID: iaor201527742
Volume: 80
Start Page Number: 151
End Page Number: 162
Publication Date: Oct 2015
Journal: Transportation Research Part A
Authors: , ,
Keywords: maintenance, repair & replacement, statistics: regression
Abstract:

Managing urban pavement networks presents additional challenges when compared to the management of interurban pavements. In particular, the prioritization of maintenance activities – which is critical when resources are limited – requires special considerations. Within these considerations, there are socio‐political criteria that are not formally considered in current UPMS (Urban Pavement Management Systems). In practice, decision makers consider these socio‐political factors but without a formal procedure and proper information, leading to decisions based on subjective information, which lack traceability and reliability. The objective of this study is the identification and formal definition – including the quantification method – of socio‐political criteria relevant for the sustainable management of urban pavement networks. The research method included the application of interviews and a survey of experts and practitioners in various agencies involved in the pavement maintenance decision‐making process in Chile. As a result of the study, five primary socio‐political criteria were identified: neighbors’ perception, proximity to critical infrastructure, benefited population, presence of alternative routes, and strategic selection based on public policy. These criteria were formalized – including how they should be quantified – through an expert panel. A regression analysis applied to various scenarios considered in the survey resulted in the quantification of the relative importance of the formalized socio‐political factors to be considered in the decision process, complementing technical and economic criteria. Future research will explore the use of Geographic Information Systems (GIS) to quantify the recommended socio‐political factors and implement them in an UPMS.

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