Alternative to AHP approach to criteria weight estimation in highway bridge management

Ikpong, Anthony; Chandra, Amit; Bagchi, Ashutosh

doi:10.1139/cjce-2020-0215

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…Introduced by Thomas Satty in 1980, the analytic hierarchy process (AHP) provides a mechanism for switching the criteria rating into weights [4,42]. AHP is an effective and powerful tool for multi-criteria decision-making approaches.…”

Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

Application of Analytical Hierarchy Process for Structural Health Monitoring and Prioritizing Concrete Bridges in Iran

et al. 2021

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This paper proposes a method for monitoring the structural health of concrete bridges in Iran. In this method, the bridge condition index (BCI) of bridges is determined by the analytical hierarchy process (AHP). BCI constitutes eight indices that are scored based on the experts’ views, including structural, hydrology and climate, safety, load impact, geotechnical and seismicity, strategic importance, facilities, and traffic and pavement. Experts’ views were analyzed by Expert Choice software, and the relative importance (weight) of all eight indices were determined using AHP. Moreover, the scores of indices for various conditions were extracted from experts’ standpoints. BCI defines as the sum of weighted scores of indices. Bridge inspectors can examine the bridge, determine the scores of indices, and compute BCI. Higher values of BCI indicate better conditions. Therefore, bridges with lower BCI take priority in maintenance activities. As the case studies, the authors selected five bridges in Iran. Successful implementation of the proposed method for these case studies verified that this method can be applied as an easy-to-use optimization tool in health monitoring and prioritizing programs.

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Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

Application of Analytical Hierarchy Process for Structural Health Monitoring and Prioritizing Concrete Bridges in Iran

et al. 2021

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“…In ( 16), 𝛥𝑑 𝑔 𝑖−1 is the absolute value of the difference between the observed information utilized and the filtered output estimate at moment 𝑖 − 1, 𝑇 𝑔 is the performance threshold, and 𝑇 𝑔 is equal to 3𝜎 of the GNSS system position measurement error. By using Analytic Hierarchy Process (AHP) to calculate the weights of each factor [17], the relative weight matrix of GNSS system confidence is constructed according to previous experience as:…”

Section: ) Positioning Deviationmentioning

confidence: 99%

Indoor and outdoor seamless positioning algorithm based on UWB/GNSS

Wang

2023

Preprint

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This paper proposes a positioning mode switching algorithm for positioning tags based on the joint system confidence and motion trend. The algorithm is based on establishing the position estimation confidence of the UWB/GNSS system and the confidence fusion seamless positioning algorithm of particle filtering, which uses a combination of hard and soft switching to achieve seamless positioning. Through the experiment, the positioning accuracy of the positioning tag is measured to be 50.6cm and 56.4cm in the indoor area and the stationary state in the mixed area, with the standard deviation less than 32cm and less than 36cm, respectively; the walking trajectory is stable and clear in the indoor and outdoor dynamic test, and the positioning switching effect is obvious.

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“…The most mature AHP (Analytic Hierarchy Process) method [33,34] in the industry was used to determine the initial weights of the importance of 25 user demands in the Eco-city. This method can summarize different factors related to decision-making, and perform qualitative and quantitative evaluation [35,36]. When using this method for calculation, the judgment matrix needs to be constructed firstly.…”

Section: Determination Of Initial Weightmentioning

confidence: 99%

User demands analysis of Eco-city based on the Kano model—An application to China case study

Wang

Xuan

et al. 2021

PLoS ONE

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Eco-cities have witnessed rapid growth in these years worldwide. As the Eco-cities entering operation stage gradually, more and more researchers have found that users (who are living or working in the Eco-cities) satisfaction is one of the most important factors to determine the success or failure of Eco-cities. Therefore, it is very important to investigate the user demands to attract more citizens willing to live or work in the Eco-cities, which will make the development of Eco-cities more sustainable and solid. The recent researches on user demands investigation and analysis in the Eco-cities mainly focused on understanding the user need itself, yet lack of research on the relationship between the user demand and user satisfaction. This paper initially introduced the Kano model analysis method to the research field of user demands in Eco-city, to explore the relationship between the user demand and user satisfaction. After proposing user demands library in Eco-city (including Land use, Ecological environment, Green building, Energy utilization, etc.), the user demands classification and importance analysis methods of Eco-city were proposed based on Kano model. The questionnaire survey for users of two Eco-cities in China as case study was conducted, consisted of user demand items questionnaire based on the Kano model and a questionnaire on the importance of the user demand items. By utilizing the integration of quantitative analysis methods based on the Kano model and Analytic Hierarchy Process (AHP) method, the final ranking of user demands importance was obtained. Comparing with the existing literatures in terms of user demands research for Eco-city, the user demands analysis method based on Kano model of this paper, is able to reveal the influence degree of user satisfaction towards the facilities and services provided in the Eco-city. The user demands analysis method can be used for other researchers worldwide to investigate and quantitively analyze user demands according to their local development situation and preference of Eco-city. The user demands analysis results obtained through this method, can benefit different stages of Eco-city.

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Alternative to AHP approach to criteria weight estimation in highway bridge management

Cited by 8 publications

References 18 publications

Application of Analytical Hierarchy Process for Structural Health Monitoring and Prioritizing Concrete Bridges in Iran

Application of Analytical Hierarchy Process for Structural Health Monitoring and Prioritizing Concrete Bridges in Iran

Indoor and outdoor seamless positioning algorithm based on UWB/GNSS

User demands analysis of Eco-city based on the Kano model—An application to China case study

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