Application of analytic hierarchy process in network level pavement maintenance decision-making
|نوع نگارش مقاله||
scopus – master journals – JCR
۴٫۲۷۶ در سال ۲۰۲۰
۲۶ در سال ۲۰۲۱
۰٫۹۰۱ در سال ۲۰۲۰
|شاخص Quartile (چارک)||
Q1 در سال ۲۰۲۰
خرید محصول توسط کلیه کارت های شتاب امکان پذیر است و بلافاصله پس از خرید، لینک دانلود محصول در اختیار شما قرار خواهد گرفت و هر گونه فروش در سایت های دیگر قابل پیگیری خواهد بود.
فهرست مطالب مقاله:
This paper proposes an Analytic Hierarchical Process (AHP) theory based method to determine the weight of the decision-making inﬂuence factors, considering their relative signiﬁcance and generating an overall ranking for each road section. A case study on the highway network maintenance priority was conducted to illustrate the proposed procedure. A total of ﬁve pavement maintenance decision-making related factors were considered in the study, including pavement performance, pavement structure strength, traﬃc loads, pavement age and road grade. The weightings of the ﬁve factors were quantiﬁed through AHP method. Then, the comprehensive ranking index value Ui was determined, which indicated the maintenance priority of a road section in network level decision-making. From the aspect of maintenance cost, the sensitivity analysis results were in accordance with the weightings of diﬀerent maintenance decision-making factors. The pavement maintenance cost was signiﬁcantly sensitive to the change of pavement performance. The case study clearly demonstrated the applicability and rationality of the AHP theory based decision-making method and it can be used as a guideline for pavement maintenance agencies.
|بخشی از متن مقاله:|
Most of the highways in Jiangsu Province were built more than 10 years ago and distresses with various types and severity levels have occurred on the pavement surface. With the development and expansion of highway network, more and more highways meet varying degrees of deterio- ration. Pavement maintenance, which aims to restore the safe and comfortable riding for road users, has drawn more and more attentions of pavement maintenance engineers
. However, due to the limited annual maintenance bud- get  and it is diﬃcult to meet the demand of all the high- way pavement maintenance. Therefore, it is an important issue for highway agencies to optimize pavement mainte- nance strategy considering various factors .
Due to the lack of historical pavement condition and traﬃc data, and analysis methods, only limited ﬁndings on pavement maintenance decision-making in china were attained. Nowadays, highway weight charge system has been extensively used in China and comprehensive axle loads data are available. Routine pavement performance survey is carried out by the highway management agency every year and the pavement condition data have been recorded in the developed Pavement Management System (PMS) in Jiangsu Province. Detailed information of
pavement structure, weather, environment, traﬃc level, axle loads and pavement performance detection are also included in the PMS. With those systematically collected pavement related data available, it is of great interests to incorporate all of those factors into pavement maintenance decision-making.
Network level pavement maintenance decision-making
is to determine the maintenance priority of road sections
in a highway network, considering the performance and
other characteristics of all the road sections. Therefore, it
is a multi-factor and multi-criteria problem . Considered
factors include pavement structure, traﬃc loads, pavement
performance, pavement age and etc. Moreover, the mainte-
nance plan is based on multiple goals, which are often not
coordination and even contradictory . On one hand, var-
ious maintenance treatments were carried out to maintain
high level pavement performance to meet the requirement of road users ; on the other hand, it is the goal of the pavement highway agencies to minimize pavement mainte-nance costs . With limited pavement maintenance bud-get, it is unlikely to meet the maintenance requirementsof all road sections . A scientiﬁc process is needed to rationally rank maintenance priority of all the road sec-tions according to speciﬁc criteria, including performance,
traﬃc volume, relative signiﬁcance of road sections and etc.
Determining the weight of each item factor is the key to solve the problem in the decision-making process. It is dif-ﬁcult to determine the weight of the factors, as the relation-ship between each factor is qualitative. Analytic Hierarchical Process (AHP) is a typical system engineeringmethod transforming qualitative analysis into quantitativeanalysis. It can eﬀectively avoid the diﬃculties and deter-mine the weight of each factor, considering both quantita-tive and qualitative factors [9–۱۲]. It has been widely used to solve decision-making problem with complicated struc-ture, more decision criterion, and factors which are diﬃcult to quantify. AHP method can help keep the consistency of the judging process, and it is widely used for determining the weight expressing the relative importance of a set of alternatives on the basis of multiple criteria. In this study, AHP was selected to determine the weight of each factor, in order to get a comprehensive ranking index of the road sec-tions in network level pavement maintenance decision-making.
لطفا پیش از ارسال نظر، خلاصه قوانین زیر را مطالعه کنید: فارسی بنویسید و از کیبورد فارسی استفاده کنید. بهتر است از فضای خالی (Space) بیشازحدِ معمول، شکلک یا ایموجی استفاده نکنید و از کشیدن حروف یا کلمات با صفحهکلید بپرهیزید. نظرات خود را براساس تجربه و استفادهی عملی و با دقت به نکات فنی ارسال کنید؛ بدون تعصب به محصول خاص، مزایا و معایب را بازگو کنید و بهتر است از ارسال نظرات چندکلمهای خودداری کنید.