RCM and AHP hybrid model for road network maintenance prioritization (original) (raw)
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EXPLORING RESOURCES, PROCESS AND DESIGN FOR SUSTAINABLE URBAN DEVELOPMENT: Proceedings of the 5th International Conference on Engineering, Technology, and Industrial Application (ICETIA) 2018
The deterioration rate of district roads is the highest of all Indonesian road networks. Road maintenance budgetary constraint is faced by almost all of the district roads in Indonesia. Road maintenance prioritization should be a challenge in an attempt to optimize the use of the existing resources. Analytical hierarchy process (AHP) is widely used as an alternative method to determine the district road maintenance priority. The objective of the present study is to evaluate the district road maintenance priority using AHP. The research was conducted in Malang Regency and Pasuruan Regency. Four criteria were used for performing AHP, namely: road conditions, traffic, land use, and economics. The results showed that there were differences in the arrangement of the criteria in preparing road maintenance priorities. The road conditions criteria are the first priority in Pasuruan Regency, followed by traffic, economics, and land use. It is different from Malang Regency where road condition becomes the first criterion, followed by traffic, land use, and economics. AHP can be used to prioritize district road maintenance although there may be differences in the arrangement of criteria in preparing road maintenance priorities for each regency/district.
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The application of Analytic Hierarchy Process (AHP) method for the prioritization of pavement maintenance sections is widespread now-a-days. Although the evaluation of pavement maintenance section through AHP method is simple, where the relative importance (on Saaty's scale) assigned to each parameter in the hierarchy varies between the experts (transportation professionals) consulted, which leads to discrepancies in the final rankings of the sections', due to the subjectivity in the process. Further, experts base their decisions solely on their experience while consideration is not given to the actual quantitative physical condition of the roads. To overcome these difficulties an objective based AHP method is proposed in this study, where pairwise comparison values are assigned based on the collected field data from a road network in Mumbai city, consisting of 28 road sections. The final ranking list of candidate sections takes into consideration the priority weight of alternatives, which reflect the road conditions. The solution of priority ratings of AHP method is compared with the corresponding solution of road condition index method, a traditional pavement maintenance procedure. The findings of the present study suggest that objective based AHP method is more suitable for the prioritization of pavement maintenance of roads.
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MULTI CRITERIA DECISION MAKING MODEL FOR PREDICTING DETERIORATION FOR URBAN ROAD NETWORK
Predicting the distress is one of the essential processes of identifying various factors to be taken into account while ranking distress severity for decision making. The present study focuses on developing multi-criteria decision making models to predict the severity of different types of distress. The Analytical Hierarchy Process (AHP) is a multi-criteria decision making tool and is used to quantify risk encountered in Severity ranking. The data required for this study was collected from greater Hyderabad Municipal Corporation. The data was analysed using the Criterium Decision plus (CDP) Software based on the AHP. The case tudy of LB Nagar network was taken and the common distress types on this network were selected and the ranking was done based on the severity levels. In Hyderabad, huge investments have been made in constructing a large network. Goal of this research is to develop a Multi Criteria Decision Making Model and to find the severity of the distresses on some sections of Hyderabad urban road network. This model allows pavement authorities to predict the deterioration of the pavements and consequently determine the maintenance needs and activities, for preserving the performance of the network. Throughout the study, the most common types of pavement distress on sections of Hyderabad Urban Road Network have been identified. Nine urban main pavement distresses have been found and the distress model has been developed using the software Criterium Decision Plus Software based on Analytical Hierarchy Process. The data is employed to generate prediction of pavement distress for the selected stretch of Hyderabad Urban Road Network.
Multiple‐criteria decision support system in highway infrastructure management
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Highway infrastructure represents a significant part of the public assets, and through its lifetime, is exposed to various deterioration processes leading to the depreciation of its value. It is therefore of vital importance to manage these assets aiming to reduce the loss of their value with time to a minimum. A typical task of road managers is making decisions related to maintenance, repair and rehabilitation based on data regarding the existing condition, risk of its use, life cycle costs and age. Road infrastructure is complex, and therefore the optimal choice of planned interventions is a delicate task often left to the road managers' subjective judgment. The main goal of research work presented in the paper is the development of a multiple criteria decision support system to determine the priority ranking of asset rehabilitation projects. Results are presented for a selected case study that consists of 27 overpasses for a highway section. The data on the condition of crossovers obtained by regular inspection along their contribution to a structured database are essential. The selection of the set of asset rehabilitation projects is carried out by using the developed decision support system that includes the budget constraint option. The selected set of asset maintenance/rehabilitation projects meets best the pre-defined combination of several criteria and therefore yields the maximized overall benefit. The results showing the selection criteria employed in the decision process and relative importance are crucial in obtaining the targeted goals. The selected criteria should therefore reflect the needs of the users and the actual conditions related to the assets.
Structure and Infrastructure Engineering, 2010
A methodology for prioritising between different maintenance actions in the railway infrastructure is presented. The consistency of the prioritisation and the feasibility of the applied methodology are investigated. Criteria describing the diverse effects of maintenance are developed and presented to track managers, together with a set of maintenance actions that are specific for each track manager. Then, the analytical hierarchy process (AHP) is used to obtain preferences for the criteria and for the different actions. The track managers roughly agree on the prioritisation of criteria. However, the discrepancies between the results of the two ways employed to elicit the preferences for the actions are rather large. The track managers consider it easy to understand the rationale of the AHP and to enter their preferences. It is proposed that preferences are recorded as they are in this paper, in order to document the rationale of the decisions and to facilitate mutual learning among decision-makers and over time.
Multicriteria Group Decision-Making Technique for a Low-Class Road Maintenance Program
Low-class roads substantially differ from main roads in terms of extensiveness, databank availability, and profitability, which stresses the need for an extraordinarily sophisticated decision-making mechanism for maintenance programs. However, road transportation decision-making administrators in third-world countries such as Iran are occasionally neither well educated in their area of activity nor especially eager to benefit from specialist advice. This usually leads to costly errors in the process of individual decision making. One way to obviate these grave errors could be to incorporate group decision-making techniques into the administrative agenda. The combined Conference-Delphi-analytic hierarchy process (AHP) model employed here to prioritize the low-class roads in Gilan for maintenance, improvement, and upgrading, profoundly incorporates specialist advice and could serve as a counteracting approach in this regard. The preliminary procedures including the Conference and the Delphi survey were employed to determine the list of the specialists for the AHP and the criteria which were then fed into the AHP. The results indicate a significant contrast between conventional individualistic decisions and those made through incorporating systematic specialist comments using our model.
Development of a Priority Scale in Handling National Road Maintenance in Banten
Proceedings of the 2nd International Symposium on Transportation Studies in Developing Countries (ISTSDC 2019), 2020
National road should be maintained periodically to keep its performance in a serviceable condition. Banten is a province next to the capital of Indonesia, Jakarta. Therefore, road maintenance in this area must be conducted properly. Banten is one of the areas in Indonesia, in which the national road maintenance is conducted based on a long segment system. Long segment system is a road preservation handling within a continuous segment to acquire stable road condition along the segment according to the standard. According to General Specification of Ministry of Public Works and Public Housing (2018), 6 aspects should be maintained in a national road. Altogether there are 20 criteria within those 6 aspects. This paper is intended to develop a priority scale to choose which aspects and criteria should be given more priority if a limited budget is available. Using the analytical hierarchy process (AHP), we found from 30 respondents who deal with national road maintenance daily that drainage was the most important maintenance aspect (weight 0.251).
Developing optimized prioritizing road maintenance
MATEC Web of Conferences, 2018
Increased demand for efficient maintenance of the existing roadway system needs optimal usage of the allocated funds. The paper demonstrates optimized methods for prioritizing maintenance implementation projects. A selected zone of roadway system in Kerbala city represents the study area to demonstrate the application of the developed prioritization process. Paver system PAVER integrated with GIS is used to estimate and display the pavement condition index PCI, thereby to establish a priority of maintenance. In addition to simple ranking method by PCI produced by the output of PAVER, the paper introduces PCI measure for each section of roadway. The paper introduces ranking by multiple measures investigated through expert knowledge about measures that affect prioritization and their irrespective weights due to a predesigned questionnaire. The maintenance priority index (MPI) is related to cost of suitable proposed maintenance, easiness of proposed maintenance, average daily traffic and functional classification of the roadway in addition to PCI. Further, incremental benefit-cost analysis ranking provide an optimized process due to benefit and cost of maintenance. The paper introduces efficient display of layout and ranking for the selected zone of roadway system based on MPI index and incremental BCR method. Although the two developed methods introduce different layout display for priority, statistical test shows that no significant difference between ranking of all methods of prioritization.